Evidence map›Paper›PMID 30958176›Full record

ArticleJournal of the Royal Society, Interface2019

Mechanistic insights into the effect of humidity on airborne influenza virus survival, transmission and incidence.

Linsey C Marr, Julian W Tang, Jennifer Van Mullekom, Seema S Lakdawala

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
187citing papers in PubMed, 3 pooled it
–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

187 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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127 more citing papers are in PubMed but not listed here.

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

4 authors.

Linsey C Marr1 Civil and Environmental Engineering, Virginia Tech , Blacksburg, VA 24061 , USA.
Julian W Tang2 Clinical Microbiology, University Hospitals Leicester NHS Trust , Leicester , UK.
Jennifer Van Mullekom4 Statistics, Virginia Tech , Blacksburg, VA 24061 , USA.
Seema S Lakdawala5 Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine , Pittsburgh, PA 15219 , USA.

Funding

The Role of Pathogen-Environment Interactions in the Pandemic Potential of InfluenzaDP2AI112243 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MARR, LINSEY · 2013 to 2016
$2.4M
NIAID NIH HHS DP2 AI112243
6 · The paper itself

Abstract

Influenza incidence and seasonality, along with virus survival and transmission, appear to depend at least partly on humidity, and recent studies have suggested that absolute humidity (AH) is more important than relative humidity (RH) in modulating observed patterns. In this perspective article, we re-evaluate studies of influenza virus survival in aerosols, transmission in animal models and influenza incidence to show that the combination of temperature and RH is equally valid as AH as a predictor. Collinearity must be considered, as higher levels of AH are only possible at higher temperatures, where it is well established that virus decay is more rapid. In studies of incidence that employ meteorological data, outdoor AH may be serving as a proxy for indoor RH in temperate regions during the wintertime heating season. Finally, we present a mechanistic explanation based on droplet evaporation and its impact on droplet physics and chemistry for why RH is more likely than AH to modulate virus survival and transmission.

Indexed as

Influenza A virusMicrobial ViabilityModels, BiologicalHumansHumidityIncidenceInfluenza, Humanaerosolenvironmentfluhumiditytemperaturetransmission

Identifiers

PMID30958176
PMCPMC6364647

What OpenQuestion holds

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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.