Evidence map›Paper›PMID 38807105›Full record

ArticleMalaria journal2024

Forest cover percentage drives the peak biting time of Nyssorhynchus darlingi (Diptera: Culicidae) in the Brazilian Amazon.

Leonardo Suveges Moreira Chaves, Eduardo Sterlino Bergo, Sara A Bickersmith, Gabriel Z Laporta, Jan E Conn, Maria Anice Mureb Sallum

Abstract read
In one paragraph

Article in Malaria journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Leonardo Suveges Moreira ChavesDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, Av. Dr. Arnaldo, 715 - Pacaembu, CEP, 01246-904, São Paulo, SP, Brasil.
Eduardo Sterlino BergoInstituto Pasteur, Secretaria de Estado da Saúde de São Paulo, Araraquara, SP, Brazil.
Sara A BickersmithWadsworth Center, New York State Department of Health, Albany, NY, USA.
Gabriel Z LaportaGraduate Program in Health Sciences, FMABC Medical School University Center, Santo André, SP, Brazil.
Jan E ConnWadsworth Center, New York State Department of Health, Albany, NY, USA.
Maria Anice Mureb SallumDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, Av. Dr. Arnaldo, 715 - Pacaembu, CEP, 01246-904, São Paulo, SP, Brasil. masallum@usp.br.

Funding

Latitudinal Landscape Genomics and Ecology of Anopheles DarlingiR01AI110112 · NIAID · WADSWORTH CENTER · PI CONN, JAN E · 2014 to 2024
$3.7M
Conselho Nacional de Desenvolvimento Científico e Tecnológico Grant 303382/2022-8Fundação de Amparo à Pesquisa do Estado de São Paulo FAPESP grant 2014/26229-7NIAID NIH HHS R01 AI110112NIH HHS National Institutes of Health, USA, grant 2R01AI110112-06A1
6 · The paper itself

Abstract

backgroundDeforestation is an important driver of malaria dynamics, with a relevant impact on mosquito ecology, including larval habitat availability, blood-feeding behaviour, and peak biting time. The latter is one of several entomological metrics to evaluate vectorial capacity and effectiveness of disease control. This study aimed to test the effect of forest cover percentage on the peak biting time of Plasmodium-uninfected and infected Nyssorhynchus darlingi females.

methodsMosquitoes were captured utilizing human landing catch (HLC) in the peridomestic habitat in field collections carried out in the wet, wet-dry transition, and dry seasons from 2014 to 2017 in areas with active malaria transmission in Amazonian Brazil. The study locations were in rural settlements in areas with the mean annual malaria parasite incidence (Annual Parasite Incidence, API ≥ 30). All Ny. darlingi females were tested for Plasmodium spp. infection using real time PCR technique. Forest cover percentage was calculated for each collection site using QGIS v. 2.8 and was categorized in three distinct deforestation scenarios: (1) degraded, < 30% forest cover, (2) intermediate, 30-70% forest cover, and (3) preserved, > 70% forest cover.

resultsThe highest number of uninfected female Ny. darlingi was found in degraded landscape-sites with forest cover < 30% in any peak biting time between 18:00 and 0:00. Partially degraded landscape-sites, with (30-70%) forest cover, showed the highest number of vivax-infected females, with a peak biting time of 21:00-23:00. The number of P. falciparum-infected mosquitoes was highest in preserved sites with > 70% forest cover, a peak biting at 19:00-20:00, and in sites with 30-70% forest cover at 22:00-23:00.

conclusionsResults of this study show empirically that degraded landscapes favour uninfected Ny. darlingi with a peak biting time at dusk (18:00-19:00), whereas partially degraded landscapes affect the behaviour of Plasmodium-infected Ny. darlingi by shifting its peak biting time towards hours after dark (21:00-23:00). In preserved sites, Plasmodium-infected Ny. darlingi bite around dusk (18:00-19:00) and shortly after (19:00-20:00).

Indexed as

Feeding BehaviorForestsMosquito VectorsAnimalsBrazilConservation of Natural ResourcesFemaleInsect Bites and StingsMalariaSeasonsDeforestationEntomological surveillanceLand use changeMalariaMosquito behavior

Identifiers

PMID38807105
PMCPMC11131226

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Registered trials

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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.