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Structural Changes for Malaria Control in India by 2027

  • ID: 4704097
  • Report
  • August 2018
  • Region: India
  • 359 Pages
  • Ken Research Private Limited
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The report titled "Structural Changes for Malaria Control in India by 2027" provides a comprehensive analysis on mosquito repellant sales dependability on vector borne diseases, number of malaria cases by state along with blood slide examination, plasmodium falciparum cases, plasmodium vivax cases and deaths.

The report provides India mosquito repellent market size, segmentation by mosquito liquid, mosquito coil and mosquito cards, annual parasite index for malaria by state, demand for untreated mosquito nets state wise (2012-2022), LLINs distributed by different government bodies, donor funding for malaria, prices of LLINs along with their supplier and product, allocated budget for NVBDCP in India by State (FY'15-FY'18), proportion of patients with confirmed malaria who received anti-malaria treatment as per national policy by state (2013-2016), rapid diagnostic test for malaria (FY'18), per capita expenditure for malaria control (2015-2017), per capita income in INR and state GDP state wise, percentage of urban, rural and total household who own LLINs, fund allocation under NVBDCP state wise (FY'15-FY'18), urban rural population state wise (2013-2017), implementation of national strategic plan for malaria elimination (2017-2022).

The report also covers population demographics, landscape of malaria (FY'14-FY'18), number of dengue cases & deaths (FY'18), rainfall statistics (2013-2017), temperature statistics (2017), number of C.D. blocks & villages and per capita income of West Bengal, Uttar Pradesh, Andhra Pradesh, Tamil Nadu, Maharashtra and Odisha including 5 major districts.

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FEATURED COMPANIES

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1. Executive Summary

  • Country overview
  • Malaria
  • India Mosquito Repellent Market Size
  • Market Segmentation
  • Untreated Mosquito Net and Long Lasting Insecticide Net
  • Odisha
  • West Bengal
  • Tamil Nadu
  • Maharashtra
  • Uttar Pradesh
  • Andhra Pradesh

2. Research Methodology
2.1. Market Definitions
2.2. Abbreviations
2.3. Market Sizing and Modelling

  • Approach- Market Sizing
  • Correlation Analysis
  • Variables (Dependent and Independent)
  • Multi Factor Based Sensitivity Model
  • Probable reasons for the test results
  • Limitations

3. Introduction -Vector Borne Diseases
3.1. Malaria

  • Magnitude of Malariain India

3.2. Dengue
3.3. Filariasis
3.4. Kala-Azar
3.5. Japanese Encephalitis

4. All India Analysis

  • How Is Mosquito Repellant Sales affected with Mosquito Net Sales
  • Trend Analysis of Per Capita Budget Allocation for Vector Control, API, Per Capita Sales of Mosquito Nets and Mosquito Repellants in India, 2013-2017
  • How is Mosquito Repellant Sales Affected by Malaria Cases, Urbanization and Per Capita Income

5. Number of Malaria Cases by States Along with the Blood Slide Examination, Plasmodium Falciparum Cases, Plasmodium Vivax Cases and Deaths, 2013- March 2018

  • Key Facts

6. India Mosquito Repellent Market Size by Revenue, 2013-2017

7. India Mosquito Repellent Market Segmentation, 2013-2017
7.1. Liquid Vaporizer
7.2. By Mosquito Coil
7.3. By Mosquito Card

8. Annual Parasite Incidence for Malaria By State, 2013-2017

9. India Domestic Mosquito Nets Market Segmentation by Treated and Untreated Nets, 2017

10. Demand For Untreated Mosquito Nets State Wise, 2012-2022

  • Demand of Untreated Single Bed Mosquito Net, 2012-2017
  • Future Demand of Untreated Single bed Mosquito Nets, 2018-2022
  • Demand of Untreated Double bed Mosquito Nets, 2012-2017
  • Future Demand of Untreated Double bed Mosquito Nets, 2018-2022

11. LLINs Distribution by State, 2016-June 2018

12. Donor Funding For Malaria

  • Contribution Reported by Donors for India Malaria, 2011-2016
  • Contribution Reported by Country For Prevention of malaria in india, 2011-2016
  • WHO Statistics for Malaria Control in India

13. Prices of Long Lasting Insecticidal Nets in USD Along with their Supplier and product

  • Insecticide Treated Bed Nets (ITNS)
  • Long LAsting Insecticidal Nets (LLINs)
  • Storage of LLINs
  • Trasnsport of LLINs
  • Distribution of LLINs
  • Pricing Analysis

14. Allocated Budget for NVBDCP in India by State, FY’15- FY’18

15. Number of Long Lasting Insecticidal Net Requirement in India by State, 2017

16. Proportion of Patients with Confirmed Malaria Who Received Anti-Malaria Treatment as per national Policy by State, 2013-2016

17. Rapid Diagnostic Test for Malaria, FY’2018

  • Reported Malaria Cases by Method of Confirmation, 2012-2016

18. Per Capita Expenditure for Malaria Control, 2013-2017

19. State Wise Analysis for Per Capita Income

20. State Wise GDP in INR Crore

21. Number of Villages State Wise along with Number of Districts, Number of Panchayat, Number of Sub-district, Number of Blocks, Number of Intermediate Panchayat, Number of Village Panchayat, number of Traditional Bodies and Number of Urban Bodies, 2017

22. Intermittent Preventive Treatment

23. Seasonal Malaria Chemoprevention

24. Percentage of Urban, Rural and Total Households Who Own LLINs, NFHS 2015-2016

25. Urbanization, Urban And Rural Population State Wise, 2013-2017

26. Implementation of National Strategic Plan for Malaria Elimination, 2017-2022

27. Comparative Analysis Odisha with Andhra Pradesh, Maharashtra, Tamil Nadu, Uttar Pradesh and West Bengal

28. West Bengal

  • Trend in API and Urbanization
  • Impact of Budget on Malaria Cases
  • What are the Factors Affecting Mosquito Repellant Sales in West Bengal?
  • Key Takeaways

28.1. Murshidabad

  • Population Demographics of Murshidabad, 2013-2017
  • Landscape of Malaria in Murshidabad, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in murshidabad, FY’14-FY’18
  • Number of Dengue cases and Deaths in Murshidabad, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Murshidabad, 2017
  • Number of C.D. Blocks & Villages, Murshidabad

28.2. North 24 Parganas

  • Population Demographics of North 24 parganas, 2013-2017
  • Landscape of Malaria in North 24 Parganas, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in North 24 Parganas, FY’14-FY’18
  • Number of Dengue cases and Deaths in North 24 Parganas, FY’18
  • Rainfall Statistics, 2013-2017
  • Number of C.D. Blocks & Villages, North 24 Parganas

28.3. South 24 Parganas

  • Population Demographics of South 24 parganas, 2013-2017
  • Landscape of Malaria in South 24 Parganas, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in South 24 Parganas, FY’14-FY’18
  • Number of Dengue cases and Deaths in South 24 Parganas, FY’18
  • Rainfall Statistics, 2013-2017

28.4. Bardhaman

  • Population Demographics of Bardhaman, 2013-2017
  • Landscape of Malaria in Bardhaman, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Bardhaman, FY’14-FY’18
  • Number of Dengue cases and Deaths in Bardhaman, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Bardhaman, 2017
  • Number of C.D. Blocks & Villages, Bardhaman

28.5. Paschim Medinipur

  • Population Demographics of Paschim Medinipur, 2013-2017
  • Landscape of Malaria in Paschim Medinipur, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Paschim Medinipur, FY’14-FY’18
  • Number of Dengue cases and Deaths in Paschim Medinipur, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Paschim Medinipur, 2017
  • Number of C.D. Blocks & Villages, of Paschim Medinipur

29. Odisha

  • Trend in API and Urbanization
  • Impact of Budget on Malaria Cases
  • Key Takeaways

29.1. Baleshwar

  • Population Demographics of baleshwar, 2013-2017
  • Landscape of Malaria in Baleshwar, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Baleshwar, FY’14-FY’18
  • Number of Dengue cases and Deaths in Baleshwar, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Baleshwar, 2017
  • Number of C.D. Blocks & Villages, Baleshwar

29.2. Cuttack

  • Population Demographics of Cuttack, 2013-2017
  • Landscape of Malaria in Cuttack, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Cuttack, FY’14-FY’18
  • Number of Dengue cases and Deaths in Cuttack, FY’18
  • Rainfall Status, 2013-2017
  • Temperature Status, Cuttack, 2017
  • Number of C.D. Blocks & Villages, Cuttack

29.3. Ganjam

  • Population Demographics of Ganjam, 2013-2017
  • Landscape of Malaria in Ganjam, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Ganjam, FY’14-FY’18
  • Number of Dengue cases and Deaths in Ganjam, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Ganjam, 2017
  • Number of C.D. Blocks & Villages, Ganjam

29.4. Khordha

  • Population Demographics of Khordha, 2013-2017
  • Landscape of Malaria in Khordha, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Khordha, FY’14-FY’18
  • Number of Dengue cases and Deaths in Khordha, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Khordha, 2017
  • Number of C.D. Blocks & Villages, Khordha

29.5. Mayurbhanj

  • Population Demographics of Mayurbhanj, 2013-2017
  • Landscape of Malaria in mayurbhanj, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Mayurbhanj, FY’14-FY’18
  • Number of Dengue cases and Deaths in Mayurbhanj, FY’18
  • Rainfall Statistics, 2013-2017
  • Number of C.D. Blocks & Villages, Mayurbhanj

30. Uttar Pradesh

  • Trend in API and Urbanization
  • Impact of Budget on Malaria Cases
  • Key Takeaways

30.1. Allahabad

  • Population Demographics of Allahabad, 2013-2017
  • Landscape of Malaria in Allahabad, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Allahabad, FY’14-FY’18
  • Number of Dengue cases and Deaths in allahabad, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Allahabad, 2017
  • Number of C.D. Blocks & Villages, Allahabad
  • Per Capita Income, Allahabad, FY’2013-FY’2015

30.2. Azamgarh

  • Population Demographics of Azamgarh, 2013-2017
  • Landscape of Malaria in Azamgarh, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Azamgarh, FY’14-FY’18
  • Number of Dengue cases and Deaths in Azamgarh, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Azamgarh, 2017
  • Number of C.D. Blocks & Villages, Azamgarh
  • Per Capita Income, Azamgarh, FY’2013-FY’2015

30.3. Lucknow

  • Population Demographics of Lucknow, 2013-2017
  • Landscape of Malaria in Lucknow, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Lucknow, FY’14-FY’18
  • Number of Dengue cases and Deaths in Lucknow, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Lucknow, 2017
  • Number of C.D. Blocks & Villages, Lucknow
  • Per Capita Income, Lucknow, FY’2013-FY’2015

30.4. Moradabad

  • Population Demographics of Moradabad, 2013-2017
  • Landscape of Malaria in Moradabad, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Moradabad, FY’14-FY’18
  • Number of Dengue cases and Deaths in Moradabad, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Moradabad, 2017
  • Number of C.D. Blocks & Villages, Moradabad
  • Per Capita Income, Moradabad, FY’2013-FY’2015

30.5. Ghaziabad

  • Population Demographics of Ghaziabad, 2013-2017
  • Landscape of Malaria in Ghaziabad, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Moradabad, FY’14-FY’18
  • Number of Dengue cases and Deaths in Ghaziabad, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Ghaziabad, 2017
  • Number of C.D. Blocks & Villages, Ghaziabad
  • Per Capita Income, Ghaziabad, FY’2013-FY’2015

31. Tamil Nadu

  • Trend in API and Urbanization
  • Impact of Budget on Malaria Cases
  • Key Takeaways

31.1. Chennai

  • Population Demographics of Chennai, 2013-2017
  • Landscape of Malaria in Chennai, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Chennai, FY’14-FY’18
  • Number of Dengue cases and Deaths in Chennai, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Chennai, 2017

31.2. Kancheepuram

  • Population Demographics of Kancheepuram, 2013-2017
  • Landscape of Malaria in Kancheepuram, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Kancheepuram, FY’14-FY’18
  • Number of Dengue cases and Deaths in Kancheepuram, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Kancheepuram, 2017
  • Number of C.D. Blocks & Villages, Kancheepuram

31.3. Vellore

  • Population Demographics of Vellore, 2013-2017
  • Landscape of Malaria in Vellore, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Vellore, FY’14-FY’18
  • Number of Dengue cases and Deaths in Vellore, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Vellore, 2017
  • Number of C.D. Blocks & Villages, Vellore

31.4. Thiruvallur

  • Population Demographics of Thiruvallur, 2013-2017
  • Landscape of Malaria in Thiruvallur, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Thiruvallur, FY’14-FY’18
  • Number of Dengue cases and Deaths in Thiruvallur, FY’18
  • Rainfall Statistics, 2013-2017
  • Number of C.D. Blocks & Villages, Thiruvallur

31.5. Salem

  • Population Demographics of Salem, 2013-2017
  • Landscape of Malaria in Salem, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Salem, FY’14-FY’18
  • Number of Dengue cases and Deaths in Salem, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Salem, 2017
  • Number of C.D. Blocks & Villages, Salem

32. Maharashtra

  • Trend in API and Urbanization
  • Impact of Budget on Malaria Cases
  • Key Takeaways

32.1. Thane

  • Population Demographics of Thane, 2013-2017
  • Landscape of Malaria in Thane, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Thane, FY’14-FY’18
  • Number of Dengue cases and Deaths in Thane, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Thane, 2017
  • Number of C.D. Blocks & Villages, Thane
  • Per Capita Income, Thane, FY’2013-FY’2017

32.2. Pune

  • Population Demographics of Pune, 2013-2017
  • Landscape of Malaria in Pune, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Pune, FY’14-FY’18
  • Number of Dengue cases and Deaths in Pune, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Pune, 2017
  • Number of C.D. Blocks & Villages, Kancheepuram
  • Per Capita Income, Pune, FY’2013-FY’2017

32.3. Nashik

  • Population Demographics of Nashik, 2013-2017
  • Landscape of Malaria in nashik, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Nashik, FY’14-FY’18
  • Number of Dengue cases and Deaths in nashik, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Nashik, 2017
  • Number of C.D. Blocks & Villages, Nashik
  • Per Capita Income, Nashik, FY’2013-FY’2017

32.4. Nagpur

  • Population Demographics of Nagpur, 2013-2017
  • Landscape of Malaria in nagpur, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Nagpur, FY’14-FY’17
  • Number of Dengue cases and Deaths in nagpur, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Nagpur, 2017
  • Number of C.D. Blocks & Villages, nagpur
  • Per Capita Income, Nagpur, FY’2013-FY’2017

32.5. Brihan Mumbai

  • Landscape of Malaria in Brihan Mumbai, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Brihan MUmbai, FY’14-FY’17
  • Number of Dengue cases and Deaths in BRihan Mumabi, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Brihan Mumbai, 2017
  • Per Capita Income, Brihan Mumbai, FY’2013-FY’2017

33. Andhra Pradesh

  • Trend in API and Urbanization
  • Impact of Budget on Malaria Cases
  • Key Takeaways

33.1. Krishna

  • Population Demographics of Krishna, 2013-2017
  • Landscape of Malaria in Krishna, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Krishna, FY’14-FY’18
  • Number of Dengue cases and Deaths in Krishna, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Krishna, 2017
  • Number of C.D. Blocks & Villages, Thane

33.2. Visakhapatnam

  • Population Demographics of Visakhapatnam, 2013-2017
  • Landscape of Malaria in Visakhapatnam, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Vishakapatnam, FY’14-FY’18
  • Number of Dengue cases and Deaths in Visakhapatnam, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Visakhapatnam, 2017
  • Number of C.D. Blocks & Villages, Visakhapatnam

33.3. Guntur

  • Population Demographics of Guntur, 2013-2017
  • Landscape of Malaria in Guntur, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Guntur, FY’14-FY’18
  • Number of Dengue cases and Deaths in Gutur, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Guntur, 2017
  • Number of C.D. Blocks & Villages, Nashik

33.4. East Godavari

  • Population Demographics of East Godavari, 2013-2017
  • Landscape of Malaria in East Godavari, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in East Godavari, FY’14-FY’17
  • Number of Dengue cases and Deaths in East Godavari, FY’18
  • Rainfall Statistics, 2013-2017
  • Temperature Statistics, Nagpur, 2017
  • Number of C.D. Blocks & Villages, nagpur

33.5. Rangareddy

  • Landscape of Malaria in Rangareddy, FY’14-FY’18
  • Number of Deaths cases Due to Malaria in Rangareddy, FY’14-FY’17
  • Number of Dengue cases and Deaths in Rangareddy, FY’18
  • Rainfall Statistics, 2013-2017
  • Number of C.D. Blocks & Villages, Rangareddy
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List Of Figures
Figure 4 1: Top 13 States and Union Territories with Highest Demand for Mosquito Repellants (Per Capita) in INR in India, 2017
Figure 4 2: Comparison of Per Capita Budget Allocation for Vector Control, Per Capita Sales of Mosquito Nets, API and Mosquito Repellants in India, 2013-2017
Figure 4 3: Top 10 States with Highest per Capita Income and Corresponding Per Capita Sales of Mosquito Repellants, Urbanization and API, 2017
Figure 4 4: Top 10 States with Lowest per Capita Income and Corresponding Per Capita Sales of Mosquito Repellants, Urbanization and API, 2017
Figure 4 5: Top 10 States with Highest API and Corresponding Per Capita Sales of Mosquito Repellants, Urbanization and Per Capita Income in INR Lac, 2017
Figure 5 1: Trend in Number of Cases of Malaria, Number of Cases of Plasmodium Falciparum Cases, Number of Cases of Plasmodium Vivax Cases, Number of Cases of Deaths due to Malaria, 2013-2017
Figure 7 1: India Mosquito Repellant Market Segmentation by Type of Repellants on basis of Revenue in Percentage, 2013-2017
Figure 7 2: India Mosquito Liquid Vaporizer Market Size on the Basis of Revenue in INR Crore and Growth Rate in Percentage (%), 2013-2017
Figure 7 3: India Mosquito Coil Market Size on the Basis of Revenue in INR Crore and Growth Rate in Percentage (%), 2013-2017
Figure 7 4: India Mosquito Card on the Basis of Revenue in INR Crore and Growth Rate in Percentage (%), 2014-2017
Figure 8 1: Trends in API in Top 5 States in Comparison to India (Odisha, Meghalaya, Chhattisgarh, Mizoram, Jharkhand, 2013-2017
Figure 8 2: Trends in API in India, 2001-2017
Figure 9 1: Proportion of Untreated and Treated Mosquito Nets Consumed in India, 2017
Figure 10 1: Market Value of Untreated Single Bed Mosquito Nets in INR Crore and Growth Rate in Percentage (%), 2012-2017
Figure 10 2: Future Market Value of Single Bed Mosquito Net in INR Crore, 2018-2022
Figure 10 3: Market Value of Untreated Double Bed Mosquito Nets in INR Crore and Growth Rate in Percentage (%), 2012-2017
Figure 10 4: Future Market Value of Double Bed Mosquito Net in INR Crore, 2018-2022
Figure 12 1: Trend in Contribution Reported by Donor’s funding for Malaria for India in USD, 2011-2016
Figure 13 1: Average Decline in Prices of LLIN of Different Size for 5 Manufacturers, 2013-2017
Figure 14 1: Comparison of Budget Allocation in FY’2017 Corresponding API in CY 2017
Figure 16 1:Top 5 States and Union Territories by Proportion of Patients with Confirmed Malaria from the Total Number of Patients Tested for Malaria who Received Anti-Malaria Treatment as per National Policy by State, 2013-2017
Figure 17 1: Number of Rapid Diagnostic Test Conducted in India, 2012-FY’2018
Figure 27 1: Comparison of Odisha with Other Major States (Andhra Pradesh, Maharashtra, Tamil Nadu, Uttar Pradesh, West Bengal) on the Basis of API, Per Capita Budget Allocation, Urbanization, and Per Capita Mosquito Repellant Sales, 2017
Figure 27 2: Comparison of Odisha with Other Major States (Andhra Pradesh, Maharashtra, Tamil Nadu, Uttar Pradesh, West Bengal) on the Basis of Population, Per Capita Income, Number of Malaria Cases, and Mosquito Repellant Sales, 2017
Figure 28 1: API and Urbanization Rate in West Bengal, 2013-2017
Figure 28 2: Per Capita Budget for Vector Control in INR, Number of Malaria Cases in Thousand and Per Capita Mosquito Repellant Sales in INR, 2013-2017
Figure 28 3: Rural and Urban Population of Murshidabad in Percentage (West Bengal), 2013-2017
Figure 28 4: Rural and Urban Population of North 24 Parganas in Percentage (West Bengal), 2013-2017
Figure 28 5: Rural and Urban Population of South 24 Parganas in Percentage (West Bengal), 2013-2017
Figure 28 6: Rural and Urban Population of Bardhaman in Percentage (West Bengal), 2013-2017
Figure 28 7: Rural and Urban Population of Paschim Medinipur in Percentage (West Bengal), 2013-2017
Figure 29 1: Trend in API and Urbanization in Odisha, 2013-2017
Figure 29 2: Comparative Analysis for Per Capita Budget for Vector Control in INR, Number of Malaria Cases in Thousand and Per Capita Mosquito Repellant Sales in INR in Odisha, 2013-2017
Figure 29 3: Rural and Urban Population of Baleshwar in Percentage, 2013-2017
Figure 29 4: Rural and Urban Population of Cuttack in Percentage, 2013-2017
Figure 29 5: Rural and Urban Population of Ganjam in Percentage, 2013-2017
Figure 29 6: Rural and Urban Population Khordha in Percentage, 2013-2017
Figure 29 7: Rural and Urban Population Mayurbhanj in Percentage, 2013-2017
Figure 30 1: Relationship between API and Urbanization in Uttar Pradesh, 2013-2017
Figure 30 2: Per Capita Budget for Vector Control in INR, Number of Malaria Cases in Thousand and Per Capita Mosquito Repellant Sales in INR, 2013-2017
Figure 30 3: Rural and Urban Population Allahabad in Percentage, 2013-2017
Figure 30 4: Rural and Urban Population Azamgarh in Percentage, 2013-2017
Figure 30 5: Rural and Urban Population Lucknow in Percentage, 2013-2017
Figure 30 6: Rural and Urban Population Moradabad in Percentage, 2013-2017
Figure 30 7: Rural and Urban Population Ghaziabad in Percentage, 2013-2017
Figure 31 1: Relationship between API and Urbanization in Tamil Nadu, 2013-2017
Figure 31 2: Per Capita Budget for Vector Control in INR, Number of Malaria Cases in Thousand and Per Capita Mosquito Repellant Sales in INR, 2013-2017
Figure 31 3: Rural and Urban Population Chennai in Percentage, 2013-2017
Figure 31 4: Rural and Urban Population Kancheepuram in Percentage, 2013-2017
Figure 31 5: Rural and Urban Population Vellore in Percentage, 2013-2017
Figure 31 6: Rural and Urban Population Thiruvallur in Percentage, 2013-2017
Figure 31 7: Rural and Urban Population Salem in Percentage, 2013-2017
Figure 32 1: API and Urbanization in Maharashtra, 2013-2017
Figure 32 2: Per Capita Budget for Vector Control in INR, Number of Malaria Cases in Thousand and Per Capita Mosquito Repellant Sales in INR, 2013-2017
Figure 32 3: Rural and Urban Population Thane in Percentage, 2013-2017
Figure 32 4: Rural and Urban Population Pune in Percentage, 2013-2017
Figure 32 5: Rural and Urban Population Nashik in Percentage, 2013-2017
Figure 32 6: Rural and Urban Population Nagpur in Percentage, 2013-2017
Figure 33 1: API and Urbanization in Andhra Pradesh, 2013-2017
Figure 33 2: Per Capita Budget for Vector Control in INR, Number of Malaria Cases in Thousand and Per Capita Mosquito Repellant Sales in INR, 2013-2017
Figure 33 3: Rural and Urban Population Krishna District in Percentage, 2013-2017
Figure 33 4: Rural and Urban Population Visakhapatnam in Percentage, 2013-2017
Figure 33 5: Rural and Urban Population Guntur in Percentage, 2013-2017
Figure 33 6: Rural and Urban Population Guntur in Percentage, 2013-2017
 
List Of Tables
Table 2 1: List of Abbreviations
Table 2 2: Correlation table for Mosquito Repellant Sales and Other Sales Affecting Variables
Table 2 3: Regression Coefficients Output
Table 3 1: Key Strategies for Malaria Control in India
Table 3 2: Government of India Initiative for Control of Dengue
Table 4 1: Top 10 States with Lowest per Capita Income and Corresponding Per Capita Sales of Mosquito Repellants, Urbanization and API, 2017
Table 5 1: Number of Malaria Cases by State (Descending Order) along with the Blood Slide Examination, Plasmodium Falciparum Cases, Plasmodium Vivax Cases and Deaths, January-March 2018
Table 5 2: Number of Malaria Cases by State (Descending Order) along with the Blood Slide Examination, Plasmodium Falciparum Cases, Plasmodium Vivax Cases and Deaths, 2017
Table 5 3: Number of Malaria Cases by State (Descending Order) along with the Blood Slide Examination, Plasmodium Falciparum Cases, Plasmodium Vivax Cases and Deaths, 2016
Table 5 4: Number of Malaria Cases by State (Descending Order) along with the Blood Slide Examination, Plasmodium Falciparum Cases, Plasmodium Vivax Cases and Deaths, 2015
Table 5 5: Number of Malaria Cases by State (Descending Order) along with the Blood Slide Examination, Plasmodium Falciparum Cases, Plasmodium Vivax Cases and Deaths, 2014
Table 5 6: Number of Malaria Cases by State (Descending Order) along with the Blood Slide Examination, Plasmodium Falciparum Cases, Plasmodium Vivax Cases and Deaths, 2013
Table 6 1: Rationale and Description for India Mosquito Repellent Market Size by Revenue, 2013-2017
Table 6 2: India Mosquito Repellent Products Market Size on the basis of Revenue in INR Crore, 2013-2017
Table 6 3: Correlation table for Mosquito Repellant Sales
Table 6 4: State Wise Retail Sales of Mosquito Repellants in India by States on the Basis of Revenue in INR Crore, 2017
Table 7 1: India Mosquito Repellant Market Segmentation by Type of Repellants on basis of Revenue in INR Crore, 2013-2017
Table 7 2: Rationale and Description for India Mosquito Liquid Vaporizer Market on the Basis of Revenue in INR Crore, 2013-2017
Table 7 3: India Mosquito Liquid Vaporizer Market Size by Urban and Rural Consumption on the Basis of Revenue in INR Crore, 2013-2017
Table 7 4: India Mosquito Liquid Vaporizer Market Size by Urban and Rural Consumption on the Basis of Volume in Kilolitre, 2012-2016
Table 7 5: Rationale and Description for India Mosquito Coil Market Size on the Basis of Revenue in INR Crore, 2013-2017
Table 7 6: India Mosquito Coil Market Size by Urban and Rural Consumption on the Basis of Revenue in INR Crore, 2013-2017
Table 7 7: India Mosquito Coil Market by Urban and Rural Consumption on the Basis of Volume in Million, 2012-2016
Table 7 8: Rationale and Description for India Mosquito Card Market on the Basis of Revenue in INR Crore, 2014-2017
Table 7 9: India Mosquito Card Market Segmentation by Urban and Rural Consumption on the Basis of Revenue in INR Crore, 2014-2017
Table 7 10: India Mosquito Card Market Segmentation by Urban and Rural Consumption on the Basis of Volume in Million, 2014-2016
Table 8 1: Annual Parasite Index (Decreasing Order for 2017) for Malaria by State/UTs, 2013-2017
Table 8 2: Annual Parasite Index for Malaria in India, 2001-May 2018
Table 9 1: Total Number of Untreated and Treated Mosquito Nets Consumed in India, 2017
Table 10 1: Demand for Single Bed Mosquito Nets State Wise on the Basis Volume, 2012-2017
Table 10 2: Future Demand for Single Bed Mosquito Nets State Wise on the Basis of volume, 2018-2022
Table 10 3: Demand for Double Bed Mosquito Nets State Wise on the Basis of Volume, 2012-2017
Table 10 4: Future Demand for Double Bed Mosquito Nets State Wise on the Basis of Volume, 2018-2022
Table 11 1: Distribution of LLINs in Different States, 2016-June, 2018
Table 11 2: Distribution of LLINs in Different States
Table 11 3: Effect of LLIN Distribution on Malaria Cases and Malaria related Deaths in 2016
Table 12 1: Contribution Reported by Donor’s funding for Malaria for India in USD, 2011-2016
Table 12 2: Contribution Reported by India for Malaria in USD, 2011-2016
Table 12 3: WHO Statistics for Malaria Control in India Including Number of LLIN Sold, Number of People Protected by IRS, Number of RDTs Distributed, Any First Line Treatment Courses Delivered and ACT Treatment Courses Delivered, 2014-2016
Table 13 1: 10 Steps for the Mass Treatment of Nets
Table 13 2: Prices of Long Lasting Insecticidal Nets (190cmx180cmx150cm) in USD along with supplier and their Product Name, 2013-2018
Table 13 3: Prices of Long Lasting Insecticidal Nets (180cmx160cmx150cm) in USD along with supplier and their Product Name, 2013-2018
Table 13 4: Prices of Long Lasting Insecticidal Nets (1050cmx220cm) in USD along with supplier and their Product Name, 2013-2018
Table 14 1: Allocated Budget for NVBDCP in India by State/UTs in INR Lakh, FY’15-FY’18
Table 15 1: Number of Long Lasting Insecticidal Net Requirement in India by State, 2017
Table 16 1: Proportion of Patients with Confirmed Malaria from the Total Number of Patients Tested for Malaria who Received Anti-Malaria Treatment as per National Policy by State, 2013-2017
Table 17 1: Rapid Diagnostic Test including Plasmodium Vivax and Plasmodium Falciparum Test Positive Cases Month Wise, FY’2018
Table 17 2 Reported Malaria Cases by Method of Confirmation in India, 2012-2016
Table 18 1: Per Capita Expenditure for Vector Control in INR, 2013-2017
Table 19 1: Correlation for Per Capita Income
Table 19 2: State Wise per Capita Income in INR, FY’2013- FY’2018
Table 20 1: State Wise GDP in INR Crore, FY’2013- FY’2018
Table 21 1: Number of Districts State Wise along with Number of Panchayat, Number of Sub-district, Number of Blocks, 2017
Table 21 2: Number of Villages along with Number of Intermediate Panchayat, Number of Village Panchayat, number of Traditional Bodies and Number of Urban Bodies, 2017
Table 24 1: Percentage of Urban, Rural and Total Households who Own LLINs by State Wise, 2015-2016
Table 25 1: Urbanization in India in Alphabetical Order by Name of State/UT, 2011-2017
Table 25 2: Urban and Rural Population State Wise, 2017
Table 25 3: Urban and Rural Population State Wise, 2016
Table 25 4: Urban and Rural Population State Wise, 2015
Table 25 5: Urban and Rural Population State Wise, 2014
Table 25 6: Urban and Rural Population State Wise, 2013
Table 26 1: Category of Districts under the National Strategic Plan for Malaria, 2017-2022
Table 26 2: Year Wise Activities under National Strategic Plan for Elimination of Malaria, 2017-2022
Table 26 3: Year Wise Distribution of Districts in Different Categories, 2017-2022
Table 26 4: To attain Zero Indigenous Infection and Zero Death in Category-1 Districts by the Year 2020 and Category-2 Districts by 2022 and Reduce Malaria Incidence to Less Than 1 case per 1,000 People at Risk and Zero Death in Category-3 Districts by Year 2022
Table 26 5: Achieve Universal Coverage of Case Detection and Treatment Services in Endemic Districts to ensure 100% Parasitological Diagnosis of all Suspected Malaria Cases and Complete Treatment of all Confirmed Cases
Table 26 6: Achieve near Universal Coverage of Population at Risk of Malaria with an Appropriate Vector Control Intervention
Table 26 7: Achieve near Universal Coverage by Appropriate BCC activities to Improve Knowledge, Awareness and Responsive Behavior Regarding Effective Preventive and Curative Interventions for Malaria Elimination
Table 26 8: Provide Effective Program Management and Coordination at all Levels to Deliver a Combination of Targeted Interventions for Malaria Elimination
Table 27 1: Comparison of Odisha with Other Major States (Andhra Pradesh, Maharashtra, Tamil Nadu, Uttar Pradesh and West Bengal) on the Basis of API, Per Capita Budget Allocation, Urbanization, and Per Capita Mosquito Repellant Sales, 2017
Table 27 2: Comparison of Odisha with Other Major States (Andhra Pradesh, Maharashtra, Tamil Nadu, Uttar Pradesh, West Bengal) on the Basis of Population, Per Capita Income, Number of Malaria Cases, and Mosquito Repellant Sales, 2017
Table 28 1: Activity Calendar for Control of Vector Borne Diseases in West Bengal, 2018
Table 28 2: Population Demographics and Other KPIs including Number of Districts, Number of District Panchayat, Number of Sub- Districts, Number of Blocks, Number of Intermediate Panchayat and Number of Villages of West Bengal, January 2018
Table 28 3: Key Statistics Including API, Malaria Cases, Mosquito Net Sales, Mosquito Repellant Sales, Urbanization, and Budget For NVBDCP, 2013-2017
Table 28 4: Key Statistics Including Percentage of Households with LLINs, Per Capita Mosquito Repellant Sales, Per Capita State Budget for Vector Control, Mosquito Net Sales Volume per 1000 Population, 2013-2017
Table 28 5: Correlation between Malaria Cases and Other Affecting Parameters
Table 28 6: Correlation between Vector Borne Disease Cases and One Month lag of Monthly Rainfall
Table 28 7: Key Observations and Recommendations for Mosquito Repellants Companies in Major Districts (Murshidabad, North 24 Parganas, South 24 Parganas, Paschim Medinipur, Bardhaman) in West Bengal
Table 28 8: Rural and Urban Population of Murshidabad (West Bengal), 2013-2017
Table 28 9: Landscape of Malaria in Murshidabad (West Bengal), FY’14-FY’18
Table 28 10: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & Above) with the Probable Cause Being Malaria in Murshidabad, FY’14-FY’17
Table 28 11: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Murshidabad, FY’18
Table 28 12: Number of Dengue Cases and Deaths in Murshidabad (West Bengal), FY’2018
Table 28 13: Monthly Rainfall Statistics in Murshidabad in mm (West Bengal), 2013-2017
Table 28 14: Monthly Temperature Statistics of Murshidabad in Degree Celsius (West Bengal), 2017
Table 28 15: Number of C.D. Blocks and Villages in Murshidabad (West Bengal)
Table 28 16: Rural and Urban Population of North 24 Parganas (West Bengal), 2013-2017
Table 28 17: Landscape of Malaria in North 24 Parganas (West Bengal), FY’14-FY’18
Table 28 18: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & Above) with the Probable Cause Being Malaria in North 24 Parganas, FY’14-FY’17
Table 28 19: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in North 24 Parganas, FY’18
Table 28 20: Number of Dengue Cases and Deaths in North 24 Parganas (West Bengal), FY’18
Table 28 21: Monthly Rainfall Statistics in North 24 Parganas (West Bengal) in mm, 2013-2017
Table 28 22: Number of C.D. Blocks and Villages in North 24 Parganas (West Bengal)
Table 28 23: Rural and Urban Population of South 24 Parganas (West Bengal), 2013-2017
Table 28 24: Landscape of Malaria in South 24 Parganas (West Bengal), FY’14-FY’18
Table 28 25: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & Above) with the Probable Cause Being Malaria in South 24 Parganas, FY’14-FY’17
Table 28 26: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in South 24 Parganas, FY’18
Table 28 27: Number of Dengue Cases and Deaths in South 24 Parganas (West Bengal), FY’18
Table 28 28: Monthly Rainfall Statistics in South 24 Parganas (West Bengal) in mm, 2013-2017
Table 28 29: Rural and Urban Population of Bardhaman (West Bengal), 2013-2017
Table 28 30: Landscape of Malaria in Bardhaman (West Bengal), FY’14-FY’18
Table 28 31: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & Above) with the Probable Cause Being Malaria in Bardhaman, FY’14-FY’17
Table 28 32: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Bardhaman, FY’18
Table 28 33: Number of Dengue Cases and Deaths in Bardhaman (West Bengal), FY’18
Table 28 34: Monthly Rainfall Statistics in Bardhaman (West Bengal) in mm, 2013-2017
Table 28 35: Monthly Temperature Statistics of Bardhaman in Degree Celsius (West Bengal), 2017
Table 28 36: Number of C.D. Blocks and Villages in Bardhaman (West Bengal)
Table 28 37: Rural and Urban Population of Paschim Medinipur (West Bengal), 2013-2017
Table 28 38: Landscape of Malaria in Paschim Medinipur (West Bengal), FY’14-FY’18
Table 28 39: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & Above) with the Probable Cause Being Malaria in Paschim Medinipur, FY’14-FY’17
Table 28 40: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Paschim Medinipur, FY’18
Table 28 41: Number of Dengue Cases and Deaths in Paschim Medinipur (West Bengal), FY’18
Table 28 42: Monthly Rainfall Statistics in Paschim Medinipur (West Bengal) in mm, 2013-2017
Table 28 43: Monthly Temperature Statistics of Paschim Medinipur in Degree Celsius (West Bengal), 2017
Table 28 44: Number of C.D. Blocks and Villages in Paschim Medinipur (West Bengal)
Table 29 1: Initiatives by Odisha Government for Eliminating Malaria from the State
Table 29 2: Population Demographics and Other KPIs including Number of Districts, Number of District Panchayat, Number of Sub- Districts, Number of Blocks, Number of Intermediate Panchayat and Number of Villages of Odisha, January 2018
Table 29 3: Key Statistics Including API, Malaria Cases, Mosquito Net Sales in Nos, Mosquito Repellant Sales in INR Crore, Population in Thousand, Per Capita Income in INR, Urbanization State Budget in INR Lakh in Odisha, 2013-2017
Table 29 4: Key Statistics Including LLIN Distribution Percentage of Households With LLIN (As per survey of NFHS), Per Capita Mosquito Repellant Sales, Per Capita State Budget for Vector Control in INR, Number of Mosquito Net Sales Per 1000 person, 2013-2017
Table 29 5: Correlation between Malaria Cases and Other Related Parameters (Urbanization, Number of Deaths due to Malaria, Annual Rainfall and API) in Odisha
Table 29 6: Correlation between Vector Borne Disease Cases and One Month lag of Monthly Rainfall in Odisha
Table 29 7: Key Observations and Recommendations for Mosquito Repellants Companies in Baleshwar, Cuttack, Ganjam, Khordha, Mayurbhanj in Odisha, 2017
Table 29 8: Rural and Urban Population of Baleshwar (Odisha), 2013-2017
Table 29 9: Landscape of Malaria in Baleshwar (Odisha), FY’14-FY’18
Table 29 10: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & Above) with the Probable Cause Being Malaria in Baleshwar, FY’14-FY’17
Table 29 11: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Baleshwar, FY’18
Table 29 12: Number of Dengue Cases and Deaths in Baleshwar (Odisha), FY’18
Table 29 13: Monthly Rainfall Statistics in Baleshwar (Odisha) in mm, 2013-2017
Table 29 14: Monthly Temperature Statistics of Baleshwar in Degree Celsius (Odisha), 2017
Table 29 15: Number of C.D. Blocks and Villages in Baleshwar (Odisha)
Table 29 16: Rural and Urban Population of Cuttack (Odisha), 2013-2017
Table 29 17: Landscape of Malaria in Cuttack (Odisha), FY’14-FY’18
Table 29 18: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & Above) with the Probable Cause Being Malaria in Cuttack, FY’14-FY’17
Table 29 19: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Cuttack, FY’18
Table 29 20: Number of Dengue Cases and Deaths in Cuttack (Odisha), FY’18
Table 29 21: Monthly Rainfall Statistics in Cuttack (Odisha) in mm, 2013-2017
Table 29 22: Monthly Temperature Statistics of Cuttack in Degree Celsius (Odisha), 2017
Table 29 23: Number of C.D. Blocks and Villages in Cuttack (Odisha)
Table 29 24: Rural and Urban Population of Ganjam (Odisha), 2013-2017
Table 29 25: Landscape of Malaria in Ganjam (Odisha), FY’14-FY’18
Table 29 26: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & Above) with the Probable Cause Being Malaria in Ganjam, FY’14-FY’17
Table 29 27: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Ganjam, FY’18
Table 29 28: Number of Dengue Cases and Deaths in Ganjam (Odisha), FY’18
Table 29 29: Monthly Rainfall Statistics in Ganjam (Odisha) in mm, 2013-2017
Table 29 30: Monthly Temperature Statistics of Ganjam in Degree Celsius (Odisha), 2017
Table 29 31: Number of C.D. Blocks and Villages in Ganjam (Odisha)
Table 29 32: Rural and Urban Population of Khordha (Odisha), 2013-2017
Table 29 33: Landscape of Malaria in Khordha (Odisha), FY’14-FY’18
Table 29 34: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & Above) with the Probable Cause Being Malaria in Khordha, FY’14-FY’17
Table 29 35: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Khordha, FY’18
Table 29 36: Number of Dengue Cases and Deaths in Khordha (Odisha), FY’18
Table 29 37: Monthly Rainfall Statistics in Khordha (Odisha) in mm, 2013-2017
Table 29 38: Monthly Temperature Statistics of Khordha in Degree Celsius (Odisha), 2017
Table 29 39: Number of C.D. Blocks and Villages in Khordha (Odisha)
Table 29 40: Rural and Urban Population of Mayurbhanj (Odisha), 2013-2017
Table 29 41: Landscape of Malaria in Mayurbhanj (Odisha), FY’14-FY’18
Table 29 42: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Mayurbhanj, FY’14-FY’17
Table 29 43: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Mayurbhanj, FY’18
Table 29 44: Number of Dengue Cases and Deaths in Mayurbhanj (Odisha), FY’18
Table 29 45: Monthly Rainfall Statistics in Mayurbhanj (Odisha) in mm, 2013-2017
Table 29 46: Number of C.D. Blocks and Villages in Mayurbhanj (Odisha)
Table 30 1: Initiatives by Uttar Pradesh Government for Eliminating Malaria
Table 30 2: Population Demographics and Other KPIs including Number of Districts, Number of District Panchayat, Number of Sub- Districts, Number of Blocks, Number of Intermediate Panchayat and Number of Villages of Uttar Pradesh, January 2018
Table 30 3: Key Statistics Including API, Malaria Cases, Mosquito Net Sales, Mosquito Repellant Sales, Urbanization, and Budget For NVBDCP, 2013-2017
Table 30 4: Key Statistics Including LLIN Distribution, Percentage of Households With LLIN (As per survey of NFHS), Per Capita Mosquito Repellant Sales, Per Capita State Budget for Vector Control in INR, and Number of Mosquito Net Sales Per 1000 person, 2013-2017
Table 30 5: Correlation between Malaria Cases and Other Affecting Parameters in Uttar Pradesh
Table 30 6: Correlation between Vector Borne Disease Cases and One Month lag of Monthly Rainfall
Table 30 7: Key Observations and Recommendations for Mosquito Repellants Companies in Allahabad, Azamgarh, Ghaziabad, Moradabad, Lucknow, 2017
Table 30 8: Rural and Urban Population of Allahabad (Uttar Pradesh), 2013-2017
Table 30 9: Landscape of Malaria in Allahabad (Uttar Pradesh), FY’14-FY’18
Table 30 10: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Allahabad, FY’14-FY’17
Table 30 11: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Allahabad, FY’18
Table 30 12: Number of Dengue Cases and Deaths in Allahabad (Uttar Pradesh), FY’18
Table 30 13: Monthly Rainfall Statistics in Allahabad (Uttar Pradesh) in mm, 2013-2017
Table 30 14: Monthly Temperature Statistics of Allahabad in Degree Celsius (Uttar Pradesh), 2017
Table 30 15: Number of C.D. Blocks and Villages in Allahabad (Uttar Pradesh)
Table 30 16: Per Capita Income of Allahabad in INR, FY’2013-FY’2015
Table 30 17: Rural and Urban Population of Azamgarh (Uttar Pradesh), 2013-2017
Table 30 18: Landscape of Malaria in Azamgarh (Uttar Pradesh), FY’14-FY’18
Table 30 19: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Azamgarh, FY’14-FY’17
Table 30 20: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Azamgarh, FY’18
Table 30 21: Number of Dengue Cases and Deaths in Azamgarh (Uttar Pradesh), FY’18
Table 30 22: Monthly Rainfall Statistics in Azamgarh (Uttar Pradesh) in mm, 2013-2017
Table 30 23: Monthly Temperature Statistics of Azamgarh in Degree Celsius (Uttar Pradesh), 2017
Table 30 24: Number of C.D. Blocks and Villages in Azamgarh (Uttar Pradesh)
Table 30 25: Per Capita Income of Azamgarh in INR, FY’2013-FY’2015
Table 30 26: Rural and Urban Population of Lucknow (Uttar Pradesh), 2013-2017
Table 30 27: Landscape of Malaria in Lucknow (Uttar Pradesh), FY’14-FY’18
Table 30 28: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Lucknow, FY’14-FY’17
Table 30 29: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Lucknow, FY’18
Table 30 30: Number of Dengue Cases and Deaths in Lucknow (Uttar Pradesh), FY’18
Table 30 31: Monthly Rainfall Statistics in Lucknow (Uttar Pradesh) in mm, 2013-2017
Table 30 32: Monthly Temperature Statistics of Lucknow in Degree Celsius (Uttar Pradesh), 2017
Table 30 33: Number of C.D. Blocks and Villages in Lucknow (Uttar Pradesh)
Table 30 34: Per Capita Income of Lucknow in INR, FY’2013-FY’2015
Table 30 35: Rural and Urban Population of Moradabad (Uttar Pradesh), 2013-2017
Table 30 36: Landscape of Malaria in Moradabad (Uttar Pradesh), FY’14-FY’18
Table 30 37: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Moradabad, FY’14-FY’17
Table 30 38: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Moradabad, FY’18
Table 30 39: Number of Dengue Cases and Deaths in Moradabad (Uttar Pradesh), FY’18
Table 30 40: Monthly Rainfall Statistics in Moradabad (Uttar Pradesh) in mm, 2013-2017
Table 30 41: Monthly Temperature Statistics of Moradabad in Degree Celsius (Uttar Pradesh), 2017
Table 30 42: Number of C.D. Blocks and Villages in Moradabad (Uttar Pradesh)
Table 30 43: Per Capita Income of Moradabad in INR, FY’2013-FY’2015
Table 30 44: Rural and Urban Population of Ghaziabad (Uttar Pradesh), 2013-2017
Table 30 45: Landscape of Malaria in Ghaziabad (Uttar Pradesh), FY’14-FY’18
Table 30 46: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Moradabad, FY’14-FY’17
Table 30 47: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Ghaziabad, FY’18
Table 30 48: Number of Dengue Cases and Deaths in Ghaziabad (Uttar Pradesh), FY’18
Table 30 49: Monthly Rainfall Statistics in Ghaziabad (Uttar Pradesh) in mm, 2013-2017
Table 30 50: Monthly Temperature Statistics of Ghaziabad in Degree Celsius (Uttar Pradesh), 2017
Table 30 51: Number of C.D. Blocks and Villages in Ghaziabad (Uttar Pradesh)
Table 30 52: Per Capita Income of Ghaziabad in INR, FY’2013-FY’2015
Table 31 1: Initiatives by Tamil Nadu Government for Eliminating Malaria
Table 31 2: Population Demographics and Other KPIs including Number of Districts, Number of District Panchayat, Number of Sub- Districts, Number of Blocks, Number of Intermediate Panchayat and Number of Villages of Tamil Nadu, January 2018
Table 31 3: Key Statistics Including API, Malaria Cases, Mosquito Net Sales, Mosquito Repellant Sales, Urbanization, and Budget For NVBDCP, 2013-2017
Table 31 4: Key Statistics Including LLIN Distribution, Percentage of Households With LLIN (As per survey of NFHS), Per Capita Mosquito Repellant Sales, Per Capita State Budget for Vector Control in INR, Number of Mosquito Net Sales Per 1000 person, 2013-2017
Table 31 5: Correlation between Malaria Cases and Other Affecting Parameters
Table 31 6: Correlation between Vector Borne Disease Cases and One Month lag of Monthly Rainfall
Table 31 7: Key Observations and Recommendations for Mosquito Repellants Companies in Chennai, Kancheepuram, Vellore, Thiruvallur, and Salem, 2017
Table 31 8: Rural and Urban Population of Chennai (Tamil Nadu), 2013-2017
Table 31 9: Landscape of Malaria in Chennai (Tamil Nadu), FY’14-FY’18
Table 31 10: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Chennai, FY’14-FY’17
Table 31 11: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Chennai, FY’18
Table 31 12: Number of Dengue Cases and Deaths in Chennai (Tamil Nadu), FY’18
Table 31 13: Monthly Rainfall Statistics in Chennai (Tamil Nadu) in mm, 2013-2017
Table 31 14: Monthly Temperature Statistics of Chennai in Degree Celsius (Tamil Nadu), 2017
Table 31 15: Rural and Urban Population of Kancheepuram (Tamil Nadu), 2013-2017
Table 31 16: Landscape of Malaria in Kancheepuram (Tamil Nadu), FY’14-FY’18
Table 31 17: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Kancheepuram, FY’14-FY’17
Table 31 18: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Kancheepuram, FY’18
Table 31 19: Number of Dengue Cases and Deaths in Kancheepuram (Tamil Nadu), FY’18
Table 31 20: Monthly Rainfall Statistics in Kancheepuram (Tamil Nadu) in mm, 2013-2017
Table 31 21: Monthly Temperature Statistics of Kancheepuram in Degree Celsius (Tamil Nadu), 2017
Table 31 22: Number of C.D. Blocks and Villages in Kancheepuram (Tamil Nadu)
Table 31 23: Rural and Urban Population of Vellore (Tamil Nadu), 2013-2017
Table 31 24: Landscape of Malaria in Vellore (Tamil Nadu), FY’14-FY’18
Table 31 25: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Vellore, FY’14-FY’17
Table 31 26: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Vellore, FY’18
Table 31 27: Number of Dengue Cases and Deaths in Vellore (Tamil Nadu), FY’18
Table 31 28: Monthly Rainfall Statistics in Vellore (Tamil Nadu) in mm, 2013-2017
Table 31 29: Monthly Temperature Statistics of Vellore in Degree Celsius (Tamil Nadu), 2017
Table 31 30: Number of C.D. Blocks and Villages in Vellore (Tamil Nadu)
Table 31 31: Rural and Urban Population of Thiruvallur (Tamil Nadu), 2013-2017
Table 31 32: Landscape of Malaria in Thiruvallur (Tamil Nadu), FY’14-FY’18
Table 31 33: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Thiruvallur, FY’14-FY’17
Table 31 34: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Thiruvallur, FY’18
Table 31 35: Number of Dengue Cases and Deaths in Thiruvallur (Tamil Nadu), FY’18
Table 31 36: Monthly Rainfall Statistics in Thiruvallur (Tamil Nadu) in mm, 2013-2017
Table 31 37: Number of C.D. Blocks and Villages in Thiruvallur (Tamil Nadu)
Table 31 38: Rural and Urban Population of Salem (Tamil Nadu), 2013-2017
Table 31 39: Landscape of Malaria in Salem (Tamil Nadu), FY’14-FY’18
Table 31 40: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Salem, FY’14-FY’17
Table 31 41: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Salem, FY’18
Table 31 42: Number of Dengue Cases and Deaths in Salem (Tamil Nadu), FY’18
Table 31 43: Monthly Rainfall Statistics in Salem (Tamil Nadu) in mm, 2013-2017
Table 31 44: Monthly Temperature Statistics of Salem in Degree Celsius (Tamil Nadu), 2017
Table 31 45: Number of C.D. Blocks and Villages in Salem (Tamil Nadu)
Table 32 1: Initiatives by Maharashtra Government for eliminating Malaria
Table 32 2: Population Demographics and Other KPIs including Number of Districts, Number of District Panchayat, Number of Sub- Districts, Number of Blocks, Number of Intermediate Panchayat and Number of Villages of Maharashtra, January 2018
Table 32 3: Key Statistics Including API, Malaria Cases, Mosquito Net Sales, Mosquito Repellant Sales, Urbanization, and Budget For NVBDCP, 2013-2017
Table 32 4: Key Statistics Including LLIN Distribution, Percentage of Households With LLIN (As per survey of NFHS), Per Capita Mosquito Repellant Sales, Per Capita State Budget for Vector Control in INR, Number of Mosquito Net Sales Per 1000 person, 2013-2017
Table 32 5: Correlation between Malaria Cases and Other Affecting Parameters
Table 32 6: Correlation between Vector Borne Disease Cases and One Month lag of Monthly Rainfall
Table 32 7: Key Observations and Recommendations for Mosquito Repellants Companies in Thane, Pune, Nashik, Nagpur, and Brihan Mumbai, 2017
Table 32 8: Rural and Urban Population of Thane (Maharashtra), 2013-2017
Table 32 9: Landscape of Malaria in Thane (Maharashtra), FY’14-FY’18
Table 32 10: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Thane, FY’14-FY’17
Table 32 11: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Thane, FY’18
Table 32 12: Number of Dengue Cases and Deaths in Thane (Maharashtra), FY’18
Table 32 13: Monthly Rainfall Statistics in Thane (Maharashtra) in mm, 2013-2017
Table 32 14: Monthly Temperature Statistics of Thane in Degree Celsius (Maharashtra), 2017
Table 32 15: Number of C.D. Blocks and Villages in Thane (Maharashtra)
Table 32 16: Per Capita Income of Thane in INR, FY’2013-FY’2017
Table 32 17: Rural and Urban Population of Pune (Maharashtra), 2013-2017
Table 32 18: Landscape of Malaria in Pune (Maharashtra), FY’14-FY’18
Table 32 19: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Pune, FY’14-FY’17
Table 32 20: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Pune, FY’18
Table 32 21: Number of Dengue Cases and Deaths in Pune (Maharashtra), FY’18
Table 32 22: Monthly Rainfall Statistics in Pune (Maharashtra) in mm, 2013-2017
Table 32 23: Monthly Temperature Statistics of Pune in Degree Celsius (Maharashtra), 2017
Table 32 24: Number of C.D. Blocks and Villages in Kancheepuram (Tamil Nadu)
Table 32 25: Per Capita Income of Pune in INR, FY’2013-FY’2017
Table 32 26: Rural and Urban Population of Nashik (Maharashtra), 2013-2017
Table 32 27: Landscape of Malaria in Nashik (Maharashtra), FY’14-FY’18
Table 32 28: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Nashik, FY’14-FY’17
Table 32 29: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Nashik, FY’18
Table 32 30: Number of Dengue Cases and Deaths in Nashik (Maharashtra), FY’18
Table 32 31: Monthly Rainfall Statistics in Nashik (Maharashtra) in mm, 2013-2017
Table 32 32: Monthly Temperature Statistics of Nashik in Degree Celsius (Maharashtra), 2017
Table 32 33: Number of C.D. Blocks and Villages in Nashik (Maharashtra)
Table 32 34: Per Capita Income of Nashik in INR, FY’2013-FY’2017
Table 32 35: Rural and Urban Population of Nagpur (Maharashtra), 2013-2017
Table 32 36: Landscape of Malaria in Nagpur (Maharashtra), FY’14-FY’18
Table 32 37: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Nagpur, FY’14-FY’17
Table 32 38: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Nagpur, FY’18
Table 32 39: Number of Dengue Cases and Deaths in Nagpur (Maharashtra), FY’18
Table 32 40: Monthly Rainfall Statistics in Nagpur (Maharashtra) in mm, 2013-2017
Table 32 41: Monthly Temperature Statistics of Nagpur in Degree Celsius (Maharashtra), 2017
Table 32 42: Number of C.D. Blocks and Villages in Nagpur (Maharashtra)
Table 32 43: Per Capita Income of Nagpur in INR, FY’2013-FY’2017
Table 32 44: Landscape of Malaria in Brihan Mumbai (Maharashtra), FY’14-FY’18
Table 32 45: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Brihan Mumbai, FY’14-FY’17
Table 32 46: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Brihan Mumbai, FY’18
Table 32 47: Number of Dengue Cases and Deaths in Brihan Mumbai (Maharashtra), FY’18
Table 32 48: Monthly Rainfall Statistics in Brihan Mumbai (Maharashtra) in mm, 2013-2017
Table 32 49: Monthly Temperature Statistics of Brihan Mumbai in Degree Celsius (Maharashtra), 2017
Table 32 50: Per Capita Income of Brihan Mumbai in INR, FY’2013-FY’2017
Table 33 1: Initiatives by Andhra Pradesh Government for eliminating Malaria
Table 33 2: Population Demographics and Other KPIs including Number of Districts, Number of District Panchayat, Number of Sub- Districts, Number of Blocks, Number of Intermediate Panchayat and Number of Villages of Andhra Pradesh, January 2018
Table 33 3: Key Statistics Including API, Malaria Cases, Mosquito Net Sales, Mosquito Repellant Sales, Urbanization, and Budget For NVBDCP, 2013-2017
Table 33 4: Key Statistics Including LLIN Distribution, Percentage of Households With LLIN (As per survey of NFHS), Per Capita Mosquito Repellant Sales, Per Capita State Budget for Vector Control in INR and Number of Mosquito Net Sales Per 1000 person in Andhra Pradesh, 2013-2017
Table 33 5: Correlation between Malaria Cases and Other Affecting Parameters
Table 33 6: Correlation between Vector Borne Disease Cases and One Month lag of Monthly Rainfall
Table 33 7: Key Observations and Recommendations for Mosquito Repellants Companies in Krishna, Visakhapatnam, Guntur, and East Godavari, 2017
Table 33 8: Rural and Urban Population of Krishna (Andhra Pradesh), 2013-2017
Table 33 9: Landscape of Malaria in Krishna (Andhra Pradesh), FY’14-FY’18
Table 33 10: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Krishna, FY’14-FY’17
Table 33 11: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Krishna, FY’18
Table 33 12: Number of Dengue Cases and Deaths in Krishna (Andhra Pradesh), FY’18
Table 33 13: Monthly Rainfall Statistics in Krishna (Andhra Pradesh) in mm, 2013-2017
Table 33 14: Monthly Temperature Statistics of Krishna in Degree Celsius (Andhra Pradesh), 2017
Table 33 15: Number of C.D. Blocks and Villages in Krishna (Andhra Pradesh)
Table 33 16: Per Capita Income by District in Andhra Pradesh in INR, FY’2012-2017
Table 33 17: Rural and Urban Population of Visakhapatnam (Andhra Pradesh), 2013-2017
Table 33 18: Landscape of Malaria in Visakhapatnam (Andhra Pradesh), FY’14-FY’18
Table 33 19: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Visakhapatnam, FY’14-FY’17
Table 33 20: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Pune, FY’18
Table 33 21: Number of Dengue Cases and Deaths in Visakhapatnam (Andhra Pradesh), FY’18
Table 33 22: Monthly Rainfall Statistics in Visakhapatnam (Andhra Pradesh) in mm, 2013-2017
Table 33 23: Monthly Temperature Statistics of Visakhapatnam in Degree Celsius (Andhra Pradesh), 2017
Table 33 24: Number of C.D. Blocks and Villages in Visakhapatnam (Andhra Pradesh)
Table 33 25: Rural and Urban Population of Guntur (Andhra Pradesh), 2013-2017
Table 33 26: Landscape of Malaria in Guntur (Andhra Pradesh), FY’14-FY’18
Table 33 27: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Guntur, FY’14-FY’17
Table 33 28: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Guntur, FY’18
Table 33 29: Number of Dengue Cases and Deaths in Guntur (Andhra Pradesh), FY’18
Table 33 30: Monthly Rainfall Statistics in Guntur (Andhra Pradesh) in mm, 2013-2017
Table 33 31: Monthly Temperature Statistics of Guntur in Degree Celsius (Andhra Pradesh), 2017
Table 33 32: Number of C.D. Blocks and Villages in Guntur (Andhra Pradesh)
Table 33 33: Rural and Urban Population of East Godavari (Andhra Pradesh), 2013-2017
Table 33 34: Landscape of Malaria in East Godavari (Andhra Pradesh), FY’14-FY’18
Table 33 35: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in East Godavari, FY’14-FY’17
Table 33 36: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in East Godavari, FY’18
Table 33 37: Number of Dengue Cases and Deaths in East Godavari (Andhra Pradesh), FY’18
Table 33 38: Monthly Rainfall Statistics in East Godavari (Andhra Pradesh) in mm, 2013-2017
Table 33 39: Monthly Temperature Statistics of Nagpur in Degree Celsius (Andhra Pradesh), 2017
Table 33 40: Number of C.D. Blocks and Villages in Godavari (Andhra Pradesh)
Table 33 41: Landscape of Malaria in Rangareddy (Andhra Pradesh), FY’14-FY’18
Table 33 42: Number of Cases of Adolescent or Adult Deaths (Age 6 Years & above) with the Probable Cause Being Malaria in Rangareddy, FY’14-FY’17
Table 33 43: Number of Deaths due to Malaria Plasmodium Vivax and Plasmodium Falciparum in Rangareddy, FY’18
Table 33 44: Number of Dengue Cases and Deaths in Rangareddy (Andhra Pradesh), FY’18
Table 33 45: Monthly Rainfall Statistics in (Andhra Pradesh) in mm, 2013-2017
Table 33 46: Number of C.D. Blocks and Villages in Rangareddy (Andhra Pradesh)

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FEATURED COMPANIES

  • BASF
  • Bestnet
  • Jyothy Laboratories
  • SC Johnson
  • Tana Netting
  • VKA Polymers
  • MORE

The report titled “Structural Changes for Malaria Control in India by 2027” provides a comprehensive analysis on mosquito repellant sales dependability on vector borne diseases, number of malaria cases by state along with blood slide examination, plasmodium falciparum cases, plasmodium vivax cases and deaths.

The report provides India mosquito repellent market size, segmentation by mosquito liquid, mosquito coil and mosquito cards, annual parasite index for malaria by state, demand for untreated mosquito nets state wise (2012-2022), LLINs distributed by different government bodies, donor funding for malaria, prices of LLINs along with their supplier and product, allocated budget for NVBDCP in India by State (FY’15-FY’18), proportion of patients with confirmed malaria who received anti-malaria treatment as per national policy by state (2013-2016), rapid diagnostic test for malaria (FY’18), per capita expenditure for malaria control (2015-2017), per capita income in INR and state GDP state wise, percentage of urban, rural and total household who own LLINs, fund allocation under NVBDCP state wise (FY’15-FY’18), urban rural population state wise (2013-2017), implementation of national strategic plan for malaria elimination (2017-2022).

The report also covers population demographics, landscape of malaria (FY’14-FY’18), number of dengue cases & deaths (FY’18), rainfall statistics (2013-2017), temperature statistics (2017), number of C.D. blocks & villages and per capita income of West Bengal, Uttar Pradesh, Andhra Pradesh, Tamil Nadu, Maharashtra and Odisha including 5 major districts.

The report is useful for NGOs, local bodies, mosquito repellent manufacturers, mosquito net manufacturers, state authorities, National Institute of Vector Borne Disease to align their market centric strategies according to ongoing and expected trends in the future.

India Mosquito Repellent Market and Overview
Market Size: Traditionally, consumers in India have used mosquito coils, which are cheaper than electric insecticides and widely available. However, consumers are now slowly becoming aware of the fact that the smoke from insecticide coils is harmful to health. Furthermore, the fact that manufacturers are making electric insecticides more affordable is also helping to fuel demand.

Mosquito repellents market in India is highly competitive, and consequent, companies are increasingly focusing on product diversification to consolidate and expand their market shares.

Market Segmentation:

By Mosquito Liquid
In 2017, the mosquito liquid has contributed highest share in term of revenue. Mosquito liquid have the highest market share as they do not produce any type of smoke and is not harmful to people. Mosquito coils are sold more in urban areas in comparison to rural areas as urban population are more aware of these products and are more health conscious. Mosquito cards are sold more in urban areas in comparison to rural areas as urban population are more aware of these products and are more health conscious.

Untreated Mosquito Net and Long Lasting Insecticide Net
Bihar and Uttar Pradesh has the highest use of single and double bed mosquito nets. This is majorly due to shortage of power supply because of which inhabitants of Bihar and Uttar Pradesh are not able to use mosquito liquid. LLIN is a mosquito net impregnated with insecticide. Large number of LLINs was distributed in the year 2017 in different states of India.

State Analysis
Odisha has the high number of malaria cases over the years. This is because of large forest area and high ratio of rural tribal population who are not aware of vector borne disease. The state government has taken many initiatives for eliminating malaria.

West Bengal: API has registered an erratic trend in West Bengal highlighting that number of Malaria cases have declined from 2013-2015 and then increased in 2016. It again registered a decline in 2017. The sales of mosquito repellant in the state are high mainly due to increased demand coming from Kolkata region.

Tamil Nadu: There was a hike in number of malaria cases because the state experienced drought and ambient temperature which led to spike in the breeding of mosquitoes in 2017. Water logging (due to scanty rainfall) after drought brought a rise in the mosquito population owing to rise in the number of malaria cases in the state. In FY’18, Chennai and Kancheepuram district have the highest number of malaria cases.

Maharashtra: In 2017, the state government has waged a war against malaria with its ‘Fight the Bite’ campaign. This campaign was majorly in order to increase the awareness among citizens of Maharashtra against the malaria prevention and how to stop breeding of mosquito in the nearby areas.

Uttar Pradesh: To control malaria and other vector borne diseases in Uttar Pradesh, the principal secretary (health and family welfare) of Uttar Pradesh has issued guidelines to all the district magistrates and officials of the various departments of the state. Moreover, Uttar Pradesh has also adopted a malaria elimination program, which aims to reduce the prevalence of the disease to less than one case per 1,000 people by the year 2030.

Andhra Pradesh: Most of the malaria cases prone months are July to September and thousands of cases are reported from tribal areas every year. In March 2017, Andhra Pradesh government spent a huge amount against the elimination of mosquitoes of malaria and other vector borne diseases such as dengue, chikungunya and zika.

Future Outlook
Mosquito repellents are the most used products among home insecticides. Home insecticides are now seen as essential items as a result of rising awareness of the importance of maintaining health and preventing exposure to mosquito borne diseases. Electric insecticides, particularly liquid vaporizers, are now being widely used among consumers.

Well-known brands such as Good Knight, All Out and Mortein have launched a new format of paper based mosquito repellent at a low price targeting emerging rural markets.

Key Segments Covered By Type of Mosquito Repellant

  • Mosquito Liquid Vaporizer
  • Mosquito Repelling Coil
  • Mosquito Repelling Card
  • Aerosol, personal repellant and oil

By Type of Mosquito Net

  • Untreated Mosquito Net
  • Treated Mosquito Net

By Type of Malaria Cases

  • Plasmodium falciparum
  • Plasmodium Vivax

Key Target Audience

  • Mosquito Coil Companies
  • Mosquito Vaporizer Company
  • Mosquito Repellant Cream manufacturers
  • Aerosol and Mosquito Repellant Spray Manufacturers
  • Companies for Development of Alternate Mosquito Control methods
  • LLIN Manufacturers
  • Net manufacturers
  • NGOs
  • Government Bodies
  • Organizations for CSR Activity

Time Period Captured in the Report:

  • 2012-2017 – Historical Period
  • 2018-2022 – Future Forecast

Companies Covered:

Mosquito Repellant Companies:
Godrej Consumer Products Limited, SC Johnson, Reckitt Benckiser, Jyothy Laboratories

LLIN Companies
BASF, BAYER, Bestnet, Clarke / Shobikaa, Disease Control Technologies, NetHealth / A-Z Textile Mills, Sumitomo Chemical, Tana Netting, Vestergaard Frandsen, VKA Polymers, Yorkol

Key Topics Covered in the Report

  • Introduction of vector borne diseases
  • Number of malaria cases by state along with blood slide examination, plasmodium falciparum cases, plasmodium vivax cases and deaths,
  • India mosquito repellent market size by revenue
  • India mosquito repellent market segmentation by mosquito liquid, mosquito coil and mosquito cards
  • Annual parasite index for malaria by state
  • Demand for untreated mosquito nets state wise (2012-2022)
  • LLINs distributed by different government bodies
  • Donor funding for malaria
  • Prices of LLINs in USD along with their supplier and product
  • Allocated budget for NVBDCP in India by State (FY’15-FY’18)
  • Proportion of patients with confirmed malaria who received anti-malaria treatment as per national policy by state (2013-2016)
  • Rapid diagnostic test for malaria (FY’18)
  • Per capita expenditure for malaria control (2015-2017)
  • Per capita income in INR and state GDP in INR crore state wise
  • Percentage of urban, rural and total household who own LLINs
  • Fund allocation under NVBDCP state wise (FY’15-FY’18)
  • Urban rural population state wise (2013-2017)
  • Implementation of national strategic plan for malaria elimination (2017-2022)
  • The report also covers population demographics, landscape of malaria (FY’14-FY’18), number of dengue cases & deaths (FY’18), rainfall statistics (2013-2017), temperature statistics (2017), number of C.D. blocks & villages and per capita income of 5 major districts in West Bengal, Uttar Pradesh, Andhra Pradesh, Tamil Nadu, Maharashtra and Odisha 5 major districts.
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  • BASF
  • BAYER
  • Bestnet
  • Clarke / Shobikaa
  • Disease Control Technologies
  • Godrej Consumer Products Limited
  • Jyothy Laboratories
  • NetHealth / A-Z Textile Mills
  • Reckitt Benckiser
  • SC Johnson
  • Sumitomo Chemical
  • Tana Netting
  • Vestergaard Frandsen
  • VKA Polymers
  • Yorkol
Note: Product cover images may vary from those shown
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