Evidence map›Paper›PMID 39502661›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Extreme precipitation, exacerbated by anthropogenic climate change, drove Peru's record-breaking 2023 dengue outbreak.

Mallory J Harris, Jared T Trok, Kevin S Martel, Mercy J Borbor Cordova, Noah S Diffenbaugh, César V Munayco, Andrés G Lescano, Erin A Mordecai

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Mallory J HarrisDepartment of Biology, Stanford University, USA.ORCID 0000-0001-8196-0430
Jared T TrokDepartment of Earth System Science, Stanford University, Stanford, USA.ORCID 0000-0003-3020-8753
Kevin S MartelCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Peru.ORCID 0000-0001-5350-6433
Mercy J Borbor CordovaPacific International Center for Disaster Risk Reduction (PIC-RRD), Escuela Superior Politecnica del Litoral (ESPOL), Ecuador.ORCID 0000-0002-7418-141X
Noah S DiffenbaughDepartment of Earth System Science, Stanford University, Stanford, USA.ORCID 0000-0002-8856-4964
César V MunaycoCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Peru.ORCID 0000-0001-7872-8913
Andrés G LescanoSchool of Public Health and Administration, Universidad Peruana Cayetano Heredia, Peru.ORCID 0000-0001-9779-633X
Erin A MordecaiDepartment of Biology, Stanford University, USA.ORCID 0000-0002-4402-5547

Funding

The child health impacts of overlapping vector-borne diseases in KenyaR01AI102918 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud · 2013 to 2026
$7.7M
Peru Infectious Diseases Epidemiology Research Training ConsortiumD43TW007393 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI Andres G Lescano · 2005 to 2026
$5.9M
Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
Modeling the influence of temperature on the evolution of vector-virus interactionsR01AI168097 · NIAID · WADSWORTH CENTER · PI Alexander Timothy Ciota · 2022 to 2026
$2.4M
FIC NIH HHS D43 TW007393NIAID NIH HHS R01 AI102918NIAID NIH HHS R01 AI168097NIGMS NIH HHS R35 GM133439
6 · The paper itself

Abstract

Anthropogenic forcing is increasing the likelihood and severity of certain extreme weather events, which may catalyze outbreaks of climate-sensitive infectious diseases. Extreme precipitation events can promote the spread of mosquito-borne illnesses by creating vector habitat, destroying infrastructure, and impeding vector control. Here, we focus on Cyclone Yaku, which caused heavy rainfall in northwestern Peru from March 7th - 20th, 2023 and was followed by the worst dengue outbreak in Peru's history. We apply generalized synthetic control methods to account for baseline climate variation and unobserved confounders when estimating the causal effect of Cyclone Yaku on dengue cases across the 56 districts with the greatest precipitation anomalies. We estimate that 67 (95% CI: 30 - 87) % of cases in cyclone-affected districts were attributable to Cyclone Yaku. The cyclone significantly increased cases for over six months, causing 38,209 (95% CI: 17,454 - 49,928) out of 57,246 cases. The largest increases in dengue incidence due to Cyclone Yaku occurred in districts with a large share of low-quality roofs and walls in residences, greater flood risk, and warmer temperatures above 24°

Identifiers

PMID39502661
PMCPMC11537325

What OpenQuestion holds

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LicenceCC BY-NC
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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.