ArticlePloS one2017
Spatial modelling of contribution of individual level risk factors for mortality from Middle East respiratory syndrome coronavirus in the Arabian Peninsula.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A comparison of mortality-related risk factors of COVID-19, SARS, and MERS: A systematic review and meta-analysis.The Journal of infection · 2020Pooled it
- Comparison of confirmed COVID-19 with SARS and MERS cases - Clinical characteristics, laboratory findings, radiographic signs and outcomes: A systematic review and meta-analysis.Reviews in medical virology · 2020Pooled it
- MERS transmission and risk factors: a systematic review.BMC public health · 2018Pooled it
- Variable DPP4 expression in multiciliated cells of the human nasal epithelium as a determinant for MERS-CoV tropism.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Adverse Birth Outcomes Due to Exposure to Household Air Pollution from Unclean Cooking Fuel among Women of Reproductive Age in Nigeria.International journal of environmental research and public health · 2021Article
- Spatiotemporal analysis and hotspots detection of COVID-19 using geographic information system (March and April, 2020).Journal of environmental health science & engineering · 2020Article
- Mortality rates due to respiratory tract diseases in Tehran, Iran during 2008-2018: a spatiotemporal, cross-sectional study.BMC public health · 2020Article
- Assessing functional propagation patterns in COVID-19.Chaos, solitons, and fractals · 2020Article
- Spatial epidemic dynamics of the COVID-19 outbreak in China.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020Article
- Spatiotemporal Clustering of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Incidence in Saudi Arabia, 2012-2019.International journal of environmental research and public health · 2019Article
- Factors associated with recovery delay in a sample of patients diagnosed by MERS-CoV rRT-PCR: A Saudi Arabian multicenter retrospective study.Influenza and other respiratory viruses · 2018Article
- Network Analysis of MERS Coronavirus within Households, Communities, and Hospitals to Identify Most Centralized and Super-Spreading in the Arabian Peninsula, 2012 to 2016.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2018Article
- The transmission dynamics of Middle East Respiratory Syndrome coronavirus.Travel medicine and infectious diseaseArticle
- Individual and network characteristic associated with hospital-acquired Middle East Respiratory Syndrome coronavirus.Journal of infection and public healthArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMiddle East respiratory syndrome coronavirus is a contagious respiratory pathogen that is contracted via close contact with an infected subject. Transmission of the pathogen has occurred through animal-to-human contact at first followed by human-to-human contact within families and health care facilities. DATA AND
methodsThis study is based on a retrospective analysis of the Middle East respiratory syndrome coronavirus outbreak in the Kingdom of Saudi Arabia between June 2012 and July 2015. A Geoadditive variable model for binary outcomes was applied to account for both individual level risk factors as well spatial variation via a fully Bayesian approach.
resultsOut of 959 confirmed cases, 642 (67%) were males and 317 (33%) had died. Three hundred and sixty four (38%) cases occurred in Ar Riyad province, while 325 (34%) cases occurred in Makkah. Individuals with some comorbidity had a significantly higher likelihood of dying from MERS-CoV compared with those who did not suffer comorbidity [Odds ratio (OR) = 2.071; 95% confidence interval (CI): 1.307, 3.263]. Health-care workers were significantly less likely to die from the disease compared with non-health workers [OR = 0.372, 95% CI: 0.151, 0.827]. Patients who had fatal clinical experience and those with clinical and subclinical experiences were equally less likely to die from the disease compared with patients who did not have fatal clinical experience and those without clinical and subclinical experiences respectively. The odds of dying from the disease was found to increase as age increased beyond 25 years and was much higher for individuals with any underlying comorbidities.
conclusionInterventions to minimize mortality from the Middle East respiratory syndrome coronavirus should particularly focus individuals with comorbidity, non-health-care workers, patients with no clinical fatal experience, and patients without any clinical and subclinical experiences.
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