Environmental drivers of influenza A and B: causal analysis and forecasting

BACKGROUND: Influenza is a globally important acute respiratory infectious disease, with types A and B being the most prevalent in humans. Both circulate annually but differ in timing, duration, and severity of epidemics. Understanding the environmental factors that influence influenza A and B provides new insights into effective prevention and management. METHOD: ) between models with all variables and those restricted to important factors. RESULT: . CONCLUSIONS: consistently act as dominant environmental drivers, whereas temperature and humidity shape subtype-specific seasonal behaviors. By integrating causal analysis with predictive validation, our findings bridge mechanistic understanding and practical forecasting, providing a data-driven foundation for improved influenza prevention strategies.

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Publication Details

Journal
BMC Public Health
Published
2026-06-17
DOI
https://doi.org/10.1186/s12889-026-28134-1
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Environmental drivers of influenza A and B: causal analysis and forecasting

Sangil Kim, Meiling Li, Sieun Lee
BMC Public Health
Influenza Virus Research Studies
article

Environmental drivers of influenza A and B: causal analysis and forecasting

Sangil Kim, Meiling Li, Sieun Lee
article en

Abstract

BACKGROUND: Influenza is a globally important acute respiratory infectious disease, with types A and B being the most prevalent in humans. Both circulate annually but differ in timing, duration, and severity of epidemics. Understanding the environmental factors that influence influenza A and B provides new insights into effective prevention and management. METHOD: ) between models with all variables and those restricted to important factors. RESULT: . CONCLUSIONS: consistently act as dominant environmental drivers, whereas temperature and humidity shape subtype-specific seasonal behaviors. By integrating causal analysis with predictive validation, our findings bridge mechanistic understanding and practical forecasting, providing a data-driven foundation for improved influenza prevention strategies.

BMC Public Health
Pusan National University (KR)
Climate action
Openalex Percentile: Top 8%
Influenza Virus Research Studies
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