Evidence map›Paper›PMID 30717685›Full record

ArticleBMC infectious diseases2019

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

Emma G Gardner, David Kelton, Zvonimir Poljak, Maria Van Kerkhove, Sophie von Dobschuetz, Amy L Greer

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
10.5field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Research on Quantitative Analysis of Multiple Factors Affecting COVID-19 Spread.International journal of environmental research and public health · 2022
    Article
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  13. Article
  14. Outdoor PMScientific reports · 2021
    Article
  15. Article
  16. Article
  17. Association between environmental factors and COVID-19 in Shanghai, China.Environmental science and pollution research international · 2021
    Article
  18. Article
  19. Pan-African evolution of within- and between-country COVID-19 dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. Article
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

6 authors at 3 institutions in 3 countries.

Emma G GardnerOntario Veterinary College, University of Guelph, 50 Stone Road E, Guelph, ON, N1G 2W1, Canada.ORCID http://orcid.org/0000-0002-5270-6916
David KeltonOntario Veterinary College, University of Guelph, 50 Stone Road E, Guelph, ON, N1G 2W1, Canada.
Zvonimir PoljakOntario Veterinary College, University of Guelph, 50 Stone Road E, Guelph, ON, N1G 2W1, Canada.
Maria Van KerkhoveWorld Health Organization, Geneva, Switzerland.
Sophie von DobschuetzAnimal Health Service - FAO, Viale delle Terme di Caracalla, Rome, Italy.
Amy L GreerOntario Veterinary College, University of Guelph, 50 Stone Road E, Guelph, ON, N1G 2W1, Canada. agreer@uoguelph.ca.
University of Guelph · CAFood and Agriculture Organization of the United Nations · ITWorld Health Organization · CH

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada PGSD2 - 505055 - 2017World Health Organization 001
6 · The paper itself

Abstract

backgroundMiddle 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.

methodsA 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 (

resultsLowest 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.

conclusionsResults 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.

Indexed as

EnvironmentWeatherAdolescentAdultAgedAged, 80 and overAnimalsCamelusCase-Control StudiesCoronavirus InfectionsCross-Over StudiesDisease ReservoirsFemaleHumansMaleMiddle AgedCase-crossoverMERS-CoVMiddle East respiratory syndromeVeterinary public health

Identifiers

PMID30717685
PMCPMC6362578
OpenAlexW2920963394

What OpenQuestion holds

Textmetadata
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.