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Cited by 391

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Impact of weather on COVID-19 pandemic in Turkey

Open access
Şahin, Mehmet·2020·Science of The Total Environment

Abstract

The coronavirus pandemic, which has numerous global implications, has led people to believe that nothing will be the same as before. The present day is dominated by studies on determining the factors that affect, taking preventive actions, and trying to find an effective treatment on top priority. Meteorological parameters are among the crucial factors affecting infectious diseases. The present study examines the correlation between weather and coronavirus disease 2019 (COVID-19) by considering nine cities in Turkey. In this regard, temperature (°C), dew point (°C), humidity (%), and wind speed (mph) are considered as parameters of weather. Research states that the incubation period of COVID-19 varies from 1 day to 14 days. Therefore, the effects of each parameter within 1, 3, 7, and 14 days are examined. In addition, the population is included as an effective parameter for evaluation. The analyses are conducted based on Spearman's correlation coefficients. The results showed that the highest correlations were observed for population, wind speed 14 days ago, and temperature on the day, respectively. The study results may guide authorities and decision-makers on taking specific measures for the cities.

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Metadata

Authors
Şahin, M.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2020-08
Volume
728
Pages
138810
ISSN
0048-9697 (ISSN-L)
OpenAlex
W3016538817
Cited by
391
References
11
FWCI
14.09
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Impact of weather on COVID-19 pandemic in Turkey. https://app.cochat.ai/papers/10.1016/j.scitotenv.2020.138810
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Şahin, M. (2020). Impact of weather on COVID-19 pandemic in Turkey. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.138810

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.