Evidence map›Paper›PMID 39935807›Full record

ArticleGeoHealth2025

Intersecting Memories of Immunity and Climate: Potential Multiyear Impacts of the El Niño-Southern Oscillation on Infectious Disease Spread.

Maya V Chung, Gabriel A Vecchi, Wenchang Yang, Bryan Grenfell, C Jessica Metcalf

Abstract read
In one paragraph

Article in GeoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Maya V ChungProgram in Atmospheric and Oceanic Sciences Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0003-0097-5652
Gabriel A VecchiProgram in Atmospheric and Oceanic Sciences Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0002-5085-224X
Wenchang YangDepartment of Geosciences Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0003-0053-9527
Bryan GrenfellHigh Meadows Environmental Institute Princeton University Princeton NJ USA.
C Jessica MetcalfHigh Meadows Environmental Institute Princeton University Princeton NJ USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate and infectious diseases each present critical challenges on a warming planet, as does the influence of climate on disease. Both are governed by nonlinear feedbacks, which drive multi-annual cycles in disease outbreaks and weather patterns. Although climate and weather can influence infectious disease transmission and have spawned rich literature, the interaction between the independent feedbacks of these two systems remains less explored. Here, we demonstrate the potential for long-lasting impacts of El Niño-Southern Oscillation (ENSO) events on disease dynamics using two approaches: interannual perturbations of a generic SIRS model to represent ENSO forcing, and detailed analysis of realistic specific humidity data in an SIRS model with endemic coronavirus (HCoV-HKU1) parameters. Our findings reveal the importance of considering nonlinear feedbacks in susceptible population dynamics for predicting and managing disease risks associated with ENSO-related weather variations.

Indexed as

climate variabilitydisease forecastingENSOinfectious disease

Identifiers

PMID39935807
PMCPMC11811887

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.