Evidence map›Paper›PMID 36280850›Full record

ArticleParasites & vectors2022

Effects of mosquito resting site temperatures on the estimation of pathogen development rates in near-natural habitats in Germany.

Felix Gregor Sauer, Ellen Kiel, Renke Lühken

Abstract read
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Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

3 authors.

Felix Gregor SauerArbovirus Ecology, Department of Arbovirology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany. felix.sauer@bnitm.de.
Ellen KielAquatic Ecology and Nature Conservation, Carl Von Ossietzky University, Oldenburg, Germany.
Renke LühkenArbovirus Ecology, Department of Arbovirology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.

Funding

Bundesministerium für Bildung und Forschung 01Kl2022Bundesministerium für Ernährung und Landwirtschaft 2819105215Bundesministerium für Gesundheit 2521NIK400
6 · The paper itself

Abstract

backgroundEnvironmental temperature is a key driver for the transmission risk of mosquito-borne pathogens. Epidemiological models usually relate to temperature data from standardized weather stations, but these data may not capture the relevant scale where mosquitoes experience environmental temperatures. As mosquitoes are assumed to spend most of their lifetime in resting sites, we analysed mosquito resting site patterns and the associated temperatures in dependence on the resting site type, resting site height and the surrounding land use.

methodsThe study was conducted in 20 areas in near-natural habitats in Germany. Ten areas were studied in 2017, and another 10 in 2018. Each study area consisted of three sampling sites, where we collected mosquitoes and microclimatic data in artificial (= garden pop-up bags) and natural resting sites at three height levels between 0 and 6 m. Land use of the study sites was characterized as forest and meadows based on reclassified information of the CORINE (Coordination of Information on the Environment) Land Cover categories. The hourly resting site temperatures and the data from the nearest weather station of the German meteorological service were used to model the duration of the extrinsic incubation period (EIP) of mosquito-borne pathogens.

resultsAnopheles, Culex and Culiseta preferred artificial resting sites, while Aedes were predominantly collect in natural resting sites. Around 90% of the mosquitoes were collected from resting sites below 2 m. The mosquito species composition did not differ significantly between forest and meadow sites. Mean resting site temperatures near the ground were approximately 0.8 °C lower than at a height of 4-6 m, which changed the predicted mean EIP up to 5 days at meadow and 2 days at forest sites. Compared with temperature data from standardized weather stations, the resting site temperatures near the ground would prolong the mean estimated EIP 4 days at forest sites and 2 days at meadow sites.

conclusionsThe microclimate of mosquito resting sites differs from standardized meteorological data, which can influence the transmission of mosquito-borne pathogens. In a near-natural environment, colder temperatures at mosquitoes' preferred resting sites near the ground would prolong the EIP of mosquito-borne pathogens relative to data from weather stations.

Indexed as

AedesAnophelesCulexCulicidaeAnimalsEcosystemMicroclimateMosquito VectorsTemperatureCulicidaeExtrinsic incubation periodMicroclimateResting sites

Identifiers

PMID36280850
PMCPMC9594938

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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.