ArticleInternational journal of environmental research and public health2019
Spatiotemporal Clustering of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Incidence in Saudi Arabia, 2012-2019.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A century of "Camel Research": a bibliometric analysis.Frontiers in veterinary science · 2023Pooled it
- Operational zoonotic containment of Middle East respiratory syndrome coronavirus in Saudi Arabia: An implementation-oriented One Health genomic framework.Veterinary world · 2026Review
- Review
- The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain).Journal of urban health : bulletin of the New York Academy of Medicine · 2023Article
- Cross-sectional study of Middle East respiratory syndrome coronavirus in humans and dromedary camels in Diyala, Iraq.Turkish journal of medical sciences · 2022Article
- Are spatial patterns of Covid-19 changing? Spatiotemporal analysis over four waves in the region of Cantabria, Spain.Transactions in GIS : TG · 2022Article
- Article
- Health Information Technology During the COVID-19 Epidemic: A Review via Text Mining.Online journal of public health informatics · 2022Article
- Does climate help modeling COVID-19 risk and to what extent?PloS one · 2022Article
- Assessing the Spatiotemporal Spread Pattern of the COVID-19 Pandemic in Malaysia.Frontiers in public health · 2022Article
- Spatiotemporal distribution of COVID-19 during the first 7 months of the epidemic in Vietnam.BMC infectious diseases · 2021Article
- Coronavirus seasonality, respiratory infections and weather.BMC infectious diseases · 2021Article
- The role of respiratory droplet physicochemistry in limiting and promoting the airborne transmission of human coronaviruses: A critical review.Environmental pollution (Barking, Essex : 1987) · 2021Review
- MERS-CoV: epidemiology, molecular dynamics, therapeutics, and future challenges.Annals of clinical microbiology and antimicrobials · 2021Review
- Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature.Scientometrics · 2021Article
- Article
- Detecting space-time clusters of COVID-19 in Brazil: mortality, inequality, socioeconomic vulnerability, and the relative risk of the disease in Brazilian municipalities.Journal of geographical systems · 2021Article
- Eco-epidemiological assessment of the COVID-19 epidemic in China, January-February 2020.Global health action · 2020Article
- Spatiotemporal analysis and hotspots detection of COVID-19 using geographic information system (March and April, 2020).Journal of environmental health science & engineering · 2020Article
- Assessing functional propagation patterns in COVID-19.Chaos, solitons, and fractals · 2020Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) is a great public health concern globally. Although 83% of the globally confirmed cases have emerged in Saudi Arabia, the spatiotemporal clustering of MERS-CoV incidence has not been investigated. This study analysed the spatiotemporal patterns and clusters of laboratory-confirmed MERS-CoV cases reported in Saudi Arabia between June 2012 and March 2019. Temporal, seasonal, spatial and spatiotemporal cluster analyses were performed using Kulldorff's spatial scan statistics to determine the time period and geographical areas with the highest MERS-CoV infection risk. A strongly significant temporal cluster for MERS-CoV infection risk was identified between April 5 and May 24, 2014. Most MERS-CoV infections occurred during the spring season (41.88%), with April and May showing significant seasonal clusters. Wadi Addawasir showed a high-risk spatial cluster for MERS-CoV infection. The most likely high-risk MERS-CoV annual spatiotemporal clusters were identified for a group of cities (
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