Evidence map›Paper›PMID 31813836›Full record

ArticleJournal of infection and public health2020

Climate factors and incidence of Middle East respiratory syndrome coronavirus.

Asmaa Altamimi, Anwar E Ahmed

Abstract read
In one paragraph

Article in Journal of infection and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Climate Changes and COVID-19.Advances in experimental medicine and biology · 2024
    Article
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  10. Association between Global Monkeypox Cases and Meteorological Factors.International journal of environmental research and public health · 2022
    Article
  11. Article
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  14. Modelling COVID-19 infection with seasonality in Zimbabwe.Physics and chemistry of the earth (2002) · 2022
    Article
  15. Article
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9 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

2 authors.

Asmaa AltamimiTropical Diseases Center, National Health Laboratory, Saudi Center for Disease Prevention and Control (Saudi CDC), Riyadh, Saudi Arabia.
Anwar E AhmedUniformed Services University of the Health Sciences, F. Edward Hébert School of Medicine, Department of Preventive Medicine & Biostatistics/Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA. Electronic address: anwar.ahmed.ctr@usuhs.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur understanding of climate factors and their links to the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) outbreaks is incomplete. This study aimed to estimate the monthly incidence of MERS-CoV cases and to investigate their correlation to climate factors.

methodsThe study used aggregated monthly MERS-CoV cases that reported to the Saudi Center for Disease Prevention and Control from the Riyadh Region between November 1, 2012 and December 31, 2018. Data on the meteorological situation throughout the study period was calculated based on Google reports on the Riyadh Region (24.7136°N, 46.6753°E). The Poisson regression was used to estimate the incidence rate ratio (IRR) and its 95% confidence intervals (CI) for each climate factor.

resultsA total of 712 MERS-CoV cases were included in the analysis (mean age 54.2±9.9 years), and more than half (404) (56.1%) MERS-CoV cases were diagnosed during a five-month period from April to August. The highest peak timing positioned in August 2015, followed by April 2014, June 2017, March 2015, and June 2016. High temperatures (IRR=1.054, 95% CI: 1.043-1.065) and a high ultraviolet index (IRR=1.401, 95% CI: 1.331-1.475) were correlated with a higher incidence of MERS-CoV cases. However, low relative humidity (IRR=0.956, 95% CI: 0.948-0.964) and low wind speed (IRR=0.945, 95% CI: 0.912-0.979) were correlated with a lower incidence of MERS-CoV cases.

conclusionThe novel coronavirus, MERS-CoV, is influenced by climate conditions with increasing incidence between April and August. High temperature, high ultraviolet index, low wind speed, and low relative humidity are contributors to increased MERS-CoV cases. The climate factors must be evaluated in hospitals and community settings and integrated into guidelines to serve as source of control measures to prevent and eliminate the risk of infection.

Indexed as

ClimateMiddle East Respiratory Syndrome CoronavirusAdultCoronavirus InfectionsDisease OutbreaksHumansHumidityIncidenceMiddle AgedRetrospective StudiesSaudi ArabiaSeasonsTemperatureTime FactorsUltraviolet RaysWindMERS-CoVMeteorological factorsWeather conditions

Identifiers

PMID31813836
PMCPMC7102558

What OpenQuestion holds

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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.