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Seasonal Influenza Epidemiology Forecast 2025-2034

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    Report

  • 150 Pages
  • June 2025
  • Region: Global
  • Expert Market Research
  • ID: 6092299
Acute respiratory infections brought on by influenza viruses are known as seasonal influenza, or the flu. It is a communicable disease spread through coughing and sneezing. Approximately 1 billion cases of seasonal influenza occur each year, with 3-5 million of those cases resulting in severe illness.

Seasonal Influenza Epidemiology Forecast Report Coverage

The “Seasonal Influenza Epidemiology Forecast Report 2025-2034” offers comprehensive information on the prevalence and demographics of seasonal influenza. It projects the future incidence and prevalence rates of seasonal influenza across various populations. The study covers age, gender, and type as major determinants of the seasonal influenza-affected population. The report highlights patterns in the prevalence of seasonal influenza over time and projects future trends based on multiple variables.

The report provides a comprehensive overview of the disease, as well as historical and projected data on the epidemiology of seasonal influenza in the 8 major markets.

Regions Covered

  • The United States
  • Germany
  • France
  • Italy
  • Spain
  • The United Kingdom
  • Japan
  • India

Seasonal Influenza Disease Overview

Seasonal influenza is caused by influenza viruses (types A, B, C, and D, with A and B being the most prevalent in humans). It can cause symptoms like fever, cough, sore throat, muscle aches, and exhaustion and is spread by respiratory droplets. High-risk populations, including young children, the elderly, and people with compromised immune systems, are more susceptible to the flu. Globally, outbreaks happen every year, with peak seasons varying based on location and causing substantial healthcare costs.

Seasonal Influenza: Treatment Overview

The goal of treating seasonal influenza is to reduce symptoms and avoid complications, particularly in high-risk patients. If taken early, antiviral drugs such as oseltamivir and zanamivir can help in reducing the severity and length of illness. Treatment also includes supportive care including rest, taking plenty of fluids, along with taking over-the-counter drugs for fever and other painkillers. Hospitalization and additional medical support may be necessary in cases of severe complications.

Epidemiology

The seasonal influenza epidemiology section offers information on the patient pool from history to the present as well as the projected trend for each of the 8 major markets. The publisher provides both current and predicted trends for seasonal influenza by examining a wide range of studies. Additionally, the report covers the diagnosed patient pool for seasonal influenza and their trends. The data is broken down into specific categories, such as total prevalent cases in males and females, and total diagnosed cases across different age groups and patient pools.
  • Annually, between 290 000 and 650 000 respiratory deaths are attributed to seasonal influenza across the globe. In developing nations, influenza-related lower respiratory tract infections account for 99% of deaths in children under the age of five.
  • Studies indicate that up to 20% of the population is thought to get affected by seasonal influenza every year. As per the estimates, influenza causes 13.8 deaths per 100,000 people annually.
  • Another study revealed that most seasonal influenza-related deaths in developed nations occur in people aged 65 and older.
  • A study conducted also revealed that for seasonal influenza the incubation period, or the time between infection and illness, is roughly 2 days, though it can vary from 1-4 days.

Country-wise Seasonal Influenza Epidemiology

The seasonal influenza epidemiology data and findings for the United States, EU-4 (Germany, Spain, Italy, France), the United Kingdom, Japan, and India are also provided in the epidemiology section.

The epidemiology of seasonal influenza varies between countries owing to the differences in factors such as obesity, tobacco smoking, diabetes and others. According to the Global Change Data Lab, flu causes about 31 respiratory deaths per 100,000 people over 65 each year in Europe. Around 400,000 people worldwide are thought to die from respiratory illnesses and 300,000 from cardiovascular diseases due to seasonal influenza.

Scope of the Report

  • The report covers a detailed analysis of signs and symptoms, causes, risk factors, pathophysiology, diagnosis, treatment options, and classification/types of seasonal influenza based on several factors.
  • Seasonal Influenza Epidemiology Forecast Report covers data for the eight major markets (the US, France, Germany, Italy, Spain, the UK, Japan, and India).
  • The report helps to identify the patient population, and the unmet needs of seasonal influenza are highlighted along with an assessment of the disease's risk and burden.

Key Questions Answered

  • What are the key findings of seasonal influenza epidemiology in the 8 major markets?
  • What will be the total number of patients with seasonal influenza across the 8 major markets during the forecast period?
  • What was the country-wise prevalence of seasonal influenza in the 8 major markets in the historical period?
  • Which country will have the highest number of seasonal influenza patients during the forecast period of 2025-2034?
  • Which key factors would influence the shift in the patient population of seasonal influenza during the forecast period of 2025-2034?
  • What are the currently available treatments for seasonal influenza?
  • What are the disease risks, signs, symptoms, and unmet needs of seasonal influenza?

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Table of Contents

1 Preface
1.1 Introduction
1.2 Objectives of the Study
1.3 Research Methodology and Assumptions
2 Executive Summary
3 Seasonal Influenza Market Overview - 8 MM
3.1 Seasonal Influenza Market Historical Value (2018-2024)
3.2 Seasonal Influenza Market Forecast Value (2025-2034)
4 Seasonal Influenza Epidemiology Overview - 8 MM
4.1 Seasonal Influenza Epidemiology Scenario (2018-2024)
4.2 Seasonal Influenza Epidemiology Forecast (2025-2034)
5 Disease Overview
5.1 Signs and Symptoms
5.2 Causes
5.3 Risk Factors
5.4 Guidelines and Stages
5.5 Pathophysiology
5.6 Screening and Diagnosis
5.7 Types of Seasonal Influenza
6 Patient Profile
6.1 Patient Profile Overview
6.2 Patient Psychology and Emotional Impact Factors
7 Epidemiology Scenario and Forecast - 8 MM (218-2034)
7.1 Key Findings
7.2 Assumptions and Rationale
7.3 Diagnosed Prevalent Cases of Seasonal Influenza
7.4 Type-Specific Cases of Seasonal Influenza
7.5 Gender-Specific Cases of Seasonal Influenza
7.6 Age-Specific Cases of Seasonal Influenza
8 Epidemiology Scenario and Forecast: United States (218-2034)
8.1 Assumptions and Rationale in the US
8.2 Diagnosed Prevalent Cases of Seasonal Influenza in the US
8.3 Type-Specific Cases of Seasonal Influenza in the US
8.4 Gender-Specific Cases of Seasonal Influenza in the US
8.5 Age-Specific Cases of Seasonal Influenza in the US
9 Epidemiology Scenario and Forecast: United Kingdom (218-2034)
9.1 Assumptions and Rationale in United Kingdom
9.2 Diagnosed Prevalent Cases of Seasonal Influenza in United Kingdom
9.3 Type-Specific Cases of Seasonal Influenza in United Kingdom
9.4 Gender-Specific Cases of Seasonal Influenza in United Kingdom
9.5 Age-Specific Cases of Seasonal Influenza in United Kingdom
10 Epidemiology Scenario and Forecast: Germany (218-2034)
10.1 Assumptions and Rationale in Germany
10.2 Diagnosed Prevalent Cases of Seasonal Influenza in Germany
10.3 Type-Specific Cases of Seasonal Influenza in Germany
10.4 Gender-Specific Cases of Seasonal Influenza in Germany
10.5 Age-Specific Cases of Seasonal Influenza in Germany
11 Epidemiology Scenario and Forecast: France (218-2034)
11.1 Assumptions and Rationale in France
11.2 Diagnosed Prevalent Cases of Seasonal Influenza in France
11.3 Type-Specific Cases of Seasonal Influenza in France
11.4 Gender-Specific Cases of Seasonal Influenza in France
11.5 Age-Specific Cases of Seasonal Influenza in France
12 Epidemiology Scenario and Forecast: Italy (218-2034)
12.1 Assumptions and Rationale in Italy
12.2 Diagnosed Prevalent Cases of Seasonal Influenza in Italy
12.3 Type-Specific Cases of Seasonal Influenza in Italy
12.4 Gender-Specific Cases of Seasonal Influenza in Italy
12.5 Age-Specific Cases of Seasonal Influenza in Italy
13 Epidemiology Scenario and Forecast: Spain (218-2034)
13.1 Assumptions and Rationale in Spain
13.2 Diagnosed Prevalent Cases of Seasonal Influenza in Spain
13.3 Type-Specific Cases of Seasonal Influenza in Spain
13.4 Gender-Specific Cases of Seasonal Influenza in Spain
13.5 Age-Specific Cases of Seasonal Influenza in Spain
14 Epidemiology Scenario and Forecast: Japan (218-2034)
14.1 Assumptions and Rationale in Japan
14.2 Diagnosed Prevalent Cases of Seasonal Influenza in Japan
14.3 Type-Specific Cases of Seasonal Influenza in Japan
14.4 Gender-Specific Cases of Seasonal Influenza in Japan
14.5 Age-Specific Cases of Seasonal Influenza in Japan
15 Epidemiology Scenario and Forecast: India (218-2034)
15.1 Assumptions and Rationale in India
15.2 Diagnosed Prevalent Cases of Seasonal Influenza in India
15.3 Type-Specific Cases of Seasonal Influenza in India
15.4 Gender-Specific Cases of Seasonal Influenza in India
15.5 Age-Specific Cases of Seasonal Influenza in India
16 Patient Journey17 Treatment Challenges and Unmet Needs18 Key Opinion Leaders (KOL) Insights