Evidence map›Paper›PMID 33114771›Full record

ArticleInternational journal of environmental research and public health2020

Global to USA County Scale Analysis of Weather, Urban Density, Mobility, Homestay, and Mask Use on COVID-19.

Sajad Jamshidi, Maryam Baniasad, Dev Niyogi

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 pooled it
2.1field-weighted citation impact, top 9% 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

35 citing papers in PubMed, 4 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  13. How Antimicrobial Resistance Is Linked to Climate Change: An Overview of Two Intertwined Global Challenges.International journal of environmental research and public health · 2023
    Review
  14. Epidemic dynamics in census-calibrated modular contact network.Network modeling and analysis in health informatics and bioinformatics · 2023
    Article
  15. Article
  16. Article
  17. Impact of the COVID-19 Pandemic Era on Residential Property Features: Pilot Studies in Poland.International journal of environmental research and public health · 2022
    Article
  18. 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

3 authors at 3 institutions in 1 country.

Sajad JamshidiDepartment of Agronomy-Crops, Soils and Water Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-7211-3109
Maryam BaniasadDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA.
Dev NiyogiDepartment of Geological Sciences, Jackson School of Geosciences, and the Department of Civil, Architectural and Environmental Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Purdue University West Lafayette · USThe Ohio State University · USThe University of Texas at Austin · US

Funding

Center for Hierarchical Manufacturing, National Science Foundation 1835739
6 · The paper itself

Abstract

Prior evaluations of the relationship between COVID-19 and weather indicate an inconsistent role of meteorology (weather) in the transmission rate. While some effects due to weather may exist, we found possible misconceptions and biases in the analysis that only consider the impact of meteorological variables alone without considering the urban metabolism and environment. This study highlights that COVID-19 assessments can notably benefit by incorporating factors that account for urban dynamics and environmental exposure. We evaluated the role of weather (considering equivalent temperature that combines the effect of humidity and air temperature) with particular consideration of urban density, mobility, homestay, demographic information, and mask use within communities. Our findings highlighted the importance of considering spatial and temporal scales for interpreting the weather/climate impact on the COVID-19 spread and spatiotemporal lags between the causal processes and effects. On global to regional scales, we found contradictory relationships between weather and the transmission rate, confounded by decentralized policies, weather variability, and the onset of screening for COVID-19, highlighting an unlikely impact of weather alone. At a finer spatial scale, the mobility index (with the relative importance of 34.32%) was found to be the highest contributing factor to the COVID-19 pandemic growth, followed by homestay (26.14%), population (23.86%), and urban density (13.03%). The weather by itself was identified as a noninfluential factor (relative importance < 3%). The findings highlight that the relation between COVID-19 and meteorology needs to consider scale, urban density and mobility areas to improve predictions.

Indexed as

BetacoronavirusCoronavirus InfectionsMasksPandemicsPneumonia, ViralWeatherCOVID-19HumansResidence CharacteristicsSARS-CoV-2TemperatureUrban PopulationCOVID-19equivalent temperaturehomestaymask usemobilitypopulationurban density

Identifiers

PMID33114771
PMCPMC7663468
OpenAlexW3096503241

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.