Extreme weather can influence the spread of infectious diseases, such as respiratory syncytial virus, or RSV, seen here in a scanning electrone microboto photo. Credit: Niaid, CC by 2.0
Variations in temperature, precipitation and humidity can influence the spread of infectious diseases, including by changing the habitats of pathogenic senders such as mosquitoes. Extreme weather conditions can also disrupt the reactions of health care. Eerdere studies hebben aangetoond dat de El Niño -Southern Oscillation (ENSO), met zijn afwisselende warme (El Niño) en koude (La Niña) fasen, extreme weer verandert en ook de verspreiding van infectieziekten kan beïnvloeden, zoals cholera, dengue, dengue, Dengue, Dengue, Dengue, Dengue, Dengue, Malariia, Respiraty Syncytial Virus (RSV), and RSV), and RSV), and RSV), and RSV), and RSV), and RSV), and RSV), and RSV), and RSV -Fever.
Although Enso events can be predicted months in advance, few successful public health interventions, such as vaccincampaigns and vector control efforts, have emerged from these predictions.
Geographical variability, differences in timing between Enso and disease and population -immunity as a result of earlier outbreaks are all factors that complicate the linking of Enso events directly to outbreaks of diseases.
Published in GeohealthChung and employees built on earlier locally oriented and disease-specific studies to model interactions between Enso-Cycli and various infectious diseases in the longer term. They used two modeling approaches to investigate how Enso’s influence on outbreaks of diseases can change from year to year.
Firstly, the team modeled how back-to-back Enso events can directly and indirectly influence the populations that are susceptible to outbreaks of diseases for several years for a generic seasonal disease. The second modeling effort was aimed at a human coronavirus in the air, HCOV-HKU1. With the help of global humidity data from 1981 to 2017, the researchers investigated how moisture variations associated with Enso influenced the transfer of diseases.

Merra-2/SIRS Model Methodology and El Niño Composites. Left: prescribed dependence on 𝑅0 About specific humidity (𝑞 𝑞) based on previous studies. Central/Right: El Niño -Composites of specific humidity and 𝑅0 Shown as the average anomaly of October-November-December from the monthly climatology. Credit: Geohealth (2025). DOI: 10,1029/2024GH001193
When analyzing population data, the team repeatedly discovered that immune reactions for infectious diseases were left behind at the initial El Niño and La Niña events, sometimes more than a year. When enso events took place in consecutive years, the effects could therefore lead to long-term and larger disease effects one year or more.
The researchers suggest that risk managers should consider based on these findings how population immunity can be a predictor of the influence of Enso on the spread of infectious diseases. The further improvement of the understanding of climate and illness interactions can plan a few months in advance for planning interventions and improving health results, the authors say.
More information:
Maya V. Chung et al, intersecting memories of immunity and climate: potential multi -year effects of the El Niño -Southern -Strillation on spreading infectious diseases, Geohealth (2025). DOI: 10,1029/2024GH001193
This story was re -published thanks to EOS, organized by the American Geophysical Union. Read the original story here.
Quote: El Niño, La Niña and Infectious Disease: Insight into how Enso-Cycli have impact on immunity and outbreak patronage (2025, March 7) collected on March 7, 2025 from https://medicalxpress.com/news/2025-03-infectious
This document is subject to copyright. Apart from any fair trade for private study or research, no part may be reproduced without written permission. The content is only provided for information purposes.