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A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome

BACKGROUND: Middle East respiratory syndrome coronavirus (MERS-CoV) is endemic in dromedary camels in the Arabian Peninsula, and zoonotic transmission to people is a sporadic event. In the absence of epidemiological data on the reservoir species, patterns of zoonotic transmission have largely been a...

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Autores principales: Gardner, Emma G., Kelton, David, Poljak, Zvonimir, Van Kerkhove, Maria, von Dobschuetz, Sophie, Greer, Amy L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362578/
https://www.ncbi.nlm.nih.gov/pubmed/30717685
http://dx.doi.org/10.1186/s12879-019-3729-5
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author Gardner, Emma G.
Kelton, David
Poljak, Zvonimir
Van Kerkhove, Maria
von Dobschuetz, Sophie
Greer, Amy L.
author_facet Gardner, Emma G.
Kelton, David
Poljak, Zvonimir
Van Kerkhove, Maria
von Dobschuetz, Sophie
Greer, Amy L.
author_sort Gardner, Emma G.
collection PubMed
description BACKGROUND: Middle East respiratory syndrome coronavirus (MERS-CoV) is endemic in dromedary camels in the Arabian Peninsula, and zoonotic transmission to people is a sporadic event. In the absence of epidemiological data on the reservoir species, patterns of zoonotic transmission have largely been approximated from primary human cases. This study aimed to identify meteorological factors that may increase the risk of primary MERS infections in humans. METHODS: A case-crossover design was used to identify associations between primary MERS cases and preceding weather conditions within the 2-week incubation period in Saudi Arabia using univariable conditional logistic regression. Cases with symptom onset between January 2015 – December 2017 were obtained from a publicly available line list of human MERS cases maintained by the World Health Organization. The complete case dataset (N = 1191) was reduced to approximate the cases most likely to represent spillover transmission from camels (N = 446). Data from meteorological stations closest to the largest city in each province were used to calculate the daily mean, minimum, and maximum temperature ((ο)C), relative humidity (%), wind speed (m/s), and visibility (m). Weather variables were categorized according to strata; temperature and humidity into tertiles, and visibility and wind speed into halves. RESULTS: Lowest temperature (Odds Ratio = 1.27; 95% Confidence Interval = 1.04–1.56) and humidity (OR = 1.35; 95% CI = 1.10–1.65) were associated with increased cases 8–10 days later. High visibility was associated with an increased number of cases 7 days later (OR = 1.26; 95% CI = 1.01–1.57), while wind speed also showed statistically significant associations with cases 5–6 days later. CONCLUSIONS: Results suggest that primary MERS human cases in Saudi Arabia are more likely to occur when conditions are relatively cold and dry. This is similar to seasonal patterns that have been described for other respiratory diseases in temperate climates. It was hypothesized that low visibility would be positively associated with primary cases of MERS, however the opposite relationship was seen. This may reflect behavioural changes in different weather conditions. This analysis provides key initial evidence of an environmental component contributing to the development of primary MERS-CoV infections.
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spelling pubmed-63625782019-02-14 A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome Gardner, Emma G. Kelton, David Poljak, Zvonimir Van Kerkhove, Maria von Dobschuetz, Sophie Greer, Amy L. BMC Infect Dis Research Article BACKGROUND: Middle East respiratory syndrome coronavirus (MERS-CoV) is endemic in dromedary camels in the Arabian Peninsula, and zoonotic transmission to people is a sporadic event. In the absence of epidemiological data on the reservoir species, patterns of zoonotic transmission have largely been approximated from primary human cases. This study aimed to identify meteorological factors that may increase the risk of primary MERS infections in humans. METHODS: A case-crossover design was used to identify associations between primary MERS cases and preceding weather conditions within the 2-week incubation period in Saudi Arabia using univariable conditional logistic regression. Cases with symptom onset between January 2015 – December 2017 were obtained from a publicly available line list of human MERS cases maintained by the World Health Organization. The complete case dataset (N = 1191) was reduced to approximate the cases most likely to represent spillover transmission from camels (N = 446). Data from meteorological stations closest to the largest city in each province were used to calculate the daily mean, minimum, and maximum temperature ((ο)C), relative humidity (%), wind speed (m/s), and visibility (m). Weather variables were categorized according to strata; temperature and humidity into tertiles, and visibility and wind speed into halves. RESULTS: Lowest temperature (Odds Ratio = 1.27; 95% Confidence Interval = 1.04–1.56) and humidity (OR = 1.35; 95% CI = 1.10–1.65) were associated with increased cases 8–10 days later. High visibility was associated with an increased number of cases 7 days later (OR = 1.26; 95% CI = 1.01–1.57), while wind speed also showed statistically significant associations with cases 5–6 days later. CONCLUSIONS: Results suggest that primary MERS human cases in Saudi Arabia are more likely to occur when conditions are relatively cold and dry. This is similar to seasonal patterns that have been described for other respiratory diseases in temperate climates. It was hypothesized that low visibility would be positively associated with primary cases of MERS, however the opposite relationship was seen. This may reflect behavioural changes in different weather conditions. This analysis provides key initial evidence of an environmental component contributing to the development of primary MERS-CoV infections. BioMed Central 2019-02-04 /pmc/articles/PMC6362578/ /pubmed/30717685 http://dx.doi.org/10.1186/s12879-019-3729-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Gardner, Emma G.
Kelton, David
Poljak, Zvonimir
Van Kerkhove, Maria
von Dobschuetz, Sophie
Greer, Amy L.
A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome
title A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome
title_full A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome
title_fullStr A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome
title_full_unstemmed A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome
title_short A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome
title_sort case-crossover analysis of the impact of weather on primary cases of middle east respiratory syndrome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362578/
https://www.ncbi.nlm.nih.gov/pubmed/30717685
http://dx.doi.org/10.1186/s12879-019-3729-5
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