Evidence map›Paper›PMID 33735293›Full record

ArticlePLoS neglected tropical diseases2021

Impact of recent climate extremes on mosquito-borne disease transmission in Kenya.

Cameron Nosrat, Jonathan Altamirano, Assaf Anyamba, Jamie M Caldwell, Richard Damoah, Francis Mutuku, Bryson Ndenga, A Desiree LaBeaud

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
13.5field-weighted citation impact, top 1% of its field
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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Cameron NosratProgram in Human Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-1592-0400
Jonathan AltamiranoDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.
Assaf AnyambaUniversities Space Research Association & NASA Goddard Space Flight Center, Greenbelt, Maryland, United States of America.
Jamie M CaldwellDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-6220-918X
Richard DamoahMorgan State University & NASA Goddard Space Flight Center, Greenbelt, Maryland, United States of America.ORCID 0000-0003-0756-4362
Francis MutukuTechnical University of Mombasa, Mombasa, Kenya.ORCID 0000-0002-9000-7008
Bryson NdengaCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0002-8445-2885
A Desiree LaBeaudDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America.
Stanford University · USGoddard Space Flight Center · USKenya Medical Research Institute · KETechnical University of Mombasa · KE

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
The child health impacts of overlapping vector-borne diseases in KenyaR01AI102918 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud · 2013 to 2026
$7.7M
NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1 TR003142NIAID NIH HHS R01 AI102918
6 · The paper itself

Abstract

Climate change and variability influence temperature and rainfall, which impact vector abundance and the dynamics of vector-borne disease transmission. Climate change is projected to increase the frequency and intensity of extreme climate events. Mosquito-borne diseases, such as dengue fever, are primarily transmitted by Aedes aegypti mosquitoes. Freshwater availability and temperature affect dengue vector populations via a variety of biological processes and thus influence the ability of mosquitoes to effectively transmit disease. However, the effect of droughts, floods, heat waves, and cold waves is not well understood. Using vector, climate, and dengue disease data collected between 2013 and 2019 in Kenya, this retrospective cohort study aims to elucidate the impact of extreme rainfall and temperature on mosquito abundance and the risk of arboviral infections. To define extreme periods of rainfall and land surface temperature (LST), we calculated monthly anomalies as deviations from long-term means (1983-2019 for rainfall, 2000-2019 for LST) across four study locations in Kenya. We classified extreme climate events as the upper and lower 10% of these calculated LST or rainfall deviations. Monthly Ae. aegypti abundance was recorded in Kenya using four trapping methods. Blood samples were also collected from children with febrile illness presenting to four field sites and tested for dengue virus using an IgG enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR). We found that mosquito eggs and adults were significantly more abundant one month following an abnormally wet month. The relationship between mosquito abundance and dengue risk follows a non-linear association. Our findings suggest that early warnings and targeted interventions during periods of abnormal rainfall and temperature, especially flooding, can potentially contribute to reductions in risk of viral transmission.

Indexed as

ClimateAdolescentAedesAnimalsChildChild, PreschoolDengueDengue VirusHumansInfantKenyaMosquito VectorsRainRetrospective StudiesTemperature

Identifiers

PMID33735293
PMCPMC7971569
OpenAlexW3137414971

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.