Evidence map›Paper›PMID 28811576›Full record

ArticleScientific reports2017

Microclimatic temperatures increase the potential for vector-borne disease transmission in the Scandinavian climate.

Najmul Haider, Carsten Kirkeby, Birgit Kristensen, Lene Jung Kjær, Jens Havskov Sørensen, Rene Bødker

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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.

Najmul HaiderNational Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark. najha@vet.dtu.dk.ORCID 0000-0002-5980-3460
Carsten KirkebyNational Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.
Birgit KristensenNational Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.ORCID 0000-0001-9292-5526
Lene Jung KjærNational Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.ORCID 0000-0001-9659-4672
Jens Havskov SørensenResearch and Development Department, Danish Meteorological Institute, Copenhagen, Denmark.
Rene BødkerNational Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We quantified the difference between the meteorological temperature recorded by the Danish Meteorological Institute (DMI) weather stations and the actual microclimatic temperatures at two or three different heights at six potential insect habitats. We then compared the impact of the hourly temperature on the extrinsic incubation period (EIP) of six pathogens. Finally, we developed a regression model, enabling us to predict the microclimatic temperatures of different habitats based on five standard meteorological parameters readily available from any meteorological institution. Microclimatic habitats were on average 3.5-5 °C warmer than the DMI recorded temperatures during midday and 1-3 °C cooler at midnight. The estimated EIP for five of the six microclimatic habitats was shorter than the estimates based on DMI temperatures for all pathogens studied. The microclimatic temperatures also predicted a longer season for virus development compared to DMI temperatures. Based on DMI data of hourly temperature, solar radiation, wind speed, rain and humidity, we were able to predict the microclimatic temperature of different habitats with an R

Indexed as

Disease VectorsMicroclimateTemperatureAnimalsCommunicable DiseasesEcosystemHumansInfectious Disease Incubation PeriodRisk FactorsScandinavian and Nordic CountriesSeasons

Identifiers

PMID28811576
PMCPMC5557972

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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.