Evidence map›Paper›PMID 37756402›Full record

ArticleScience advances2023

Disentangling local and global climate drivers in the population dynamics of mosquito-borne infections.

Bernard Cazelles, Kévin Cazelles, Huaiyu Tian, Mario Chavez, Mercedes Pascual

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Bernard CazellesUMMISCO, Sorbonne Université, Paris, France.ORCID 0000-0002-7972-361X
Kévin CazellesDepartment of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0001-6619-9874
Huaiyu TianState Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.ORCID 0000-0002-4466-0858
Mario ChavezHôpital de la Pitié-Salpêtrière, CNRS UMR-7225, Paris, France.ORCID 0000-0003-0390-4833
Mercedes PascualDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA.ORCID 0000-0003-3575-7233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying climate drivers is essential to understand and predict epidemics of mosquito-borne infections whose population dynamics typically exhibit seasonality and multiannual cycles. Which climate covariates to consider varies across studies, from local factors such as temperature to remote drivers such as the El Niño-Southern Oscillation. With partial wavelet coherence, we present a systematic investigation of nonstationary associations between mosquito-borne disease incidence and a given climate factor while controlling for another. Analysis of almost 200 time series of dengue and malaria around the globe at different geographical scales shows a systematic effect of global climate drivers on interannual variability and of local ones on seasonality. This clear separation of time scales of action enhances detection of climate drivers and indicates those best suited for building early-warning systems.

Indexed as

CulicidaeEpidemicsAnimalsEl Nino-Southern OscillationPopulation DynamicsTemperature

Identifiers

PMID37756402
PMCPMC10530079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.