Spatiotemporal Clustering of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Incidence in Saudi Arabia, 2012–2019
Identifieur interne : 000379 ( Main/Exploration ); précédent : 000378; suivant : 000380Spatiotemporal Clustering of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Incidence in Saudi Arabia, 2012–2019
Auteurs : Khalid Al-Ahmadi [Arabie saoudite] ; Sabah Alahmadi [Arabie saoudite] ; Ali Al-Zahrani [Arabie saoudite]Source :
- International Journal of Environmental Research and Public Health [ 1661-7827 ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : Arabie saoudite.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Saudi Arabia.
- diagnosis : Coronavirus Infections.
- epidemiology : Coronavirus Infections.
- Cluster Analysis, Humans, Incidence, Middle East Respiratory Syndrome Coronavirus, Retrospective Studies, Seasons, Spatio-Temporal Analysis.
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 (
Url:
DOI: 10.3390/ijerph16142520
PubMed: 31311073
PubMed Central: 6678379
Affiliations:
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Box 6086, Riyadh 11442, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>King Abdulaziz City for Science and Technology, P.O. Box 6086, Riyadh 11442</wicri:regionArea><wicri:noRegion>Riyadh 11442</wicri:noRegion></affiliation></author><author><name sortKey="Al Zahrani, Ali" sort="Al Zahrani, Ali" uniqKey="Al Zahrani A" first="Ali" last="Al-Zahrani">Ali Al-Zahrani</name><affiliation wicri:level="1"><nlm:aff id="af2-ijerph-16-02520">King Faisal Specialist Hospital and Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>King Faisal Specialist Hospital and Research Centre, P.O. 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Box 6086, Riyadh 11442, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>King Abdulaziz City for Science and Technology, P.O. Box 6086, Riyadh 11442</wicri:regionArea><wicri:noRegion>Riyadh 11442</wicri:noRegion></affiliation></author><author><name sortKey="Alahmadi, Sabah" sort="Alahmadi, Sabah" uniqKey="Alahmadi S" first="Sabah" last="Alahmadi">Sabah Alahmadi</name><affiliation wicri:level="1"><nlm:aff id="af1-ijerph-16-02520">King Abdulaziz City for Science and Technology, P.O. Box 6086, Riyadh 11442, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>King Abdulaziz City for Science and Technology, P.O. Box 6086, Riyadh 11442</wicri:regionArea><wicri:noRegion>Riyadh 11442</wicri:noRegion></affiliation></author><author><name sortKey="Al Zahrani, Ali" sort="Al Zahrani, Ali" uniqKey="Al Zahrani A" first="Ali" last="Al-Zahrani">Ali Al-Zahrani</name><affiliation wicri:level="1"><nlm:aff id="af2-ijerph-16-02520">King Faisal Specialist Hospital and Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia</nlm:aff><country xml:lang="fr">Arabie saoudite</country><wicri:regionArea>King Faisal Specialist Hospital and Research Centre, P.O. Box 3354, Riyadh 11211</wicri:regionArea><wicri:noRegion>Riyadh 11211</wicri:noRegion></affiliation></author></analytic><series><title level="j">International Journal of Environmental Research and Public Health</title><idno type="ISSN">1661-7827</idno><idno type="eISSN">1660-4601</idno><imprint><date when="2019">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cluster Analysis</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (epidemiology)</term><term>Humans</term><term>Incidence</term><term>Middle East Respiratory Syndrome Coronavirus</term><term>Retrospective Studies</term><term>Saudi Arabia (epidemiology)</term><term>Seasons</term><term>Spatio-Temporal Analysis</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de regroupements</term><term>Analyse spatio-temporelle</term><term>Arabie saoudite (épidémiologie)</term><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term><term>Humains</term><term>Incidence</term><term>Infections à coronavirus (diagnostic)</term><term>Infections à coronavirus (épidémiologie)</term><term>Saisons</term><term>Études rétrospectives</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Saudi Arabia</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Arabie saoudite</term><term>Infections à coronavirus</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Cluster Analysis</term><term>Humans</term><term>Incidence</term><term>Middle East Respiratory Syndrome Coronavirus</term><term>Retrospective Studies</term><term>Seasons</term><term>Spatio-Temporal Analysis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de regroupements</term><term>Analyse spatio-temporelle</term><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term><term>Humains</term><term>Incidence</term><term>Saisons</term><term>Études rétrospectives</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Arabie saoudite</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>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 (<italic>n</italic> = 10) in Riyadh province between 2014 and 2016. A monthly spatiotemporal cluster included Jeddah, Makkah and Taif cities, with the most likely high-risk MERS-CoV infection cluster occurring between April and May 2014. Significant spatiotemporal clusters of MERS-CoV incidence were identified in Saudi Arabia. The findings are relevant to control the spread of the disease. This study provides preliminary risk assessments for the further investigation of the environmental risk factors associated with MERS-CoV clusters.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Zaki, A M" uniqKey="Zaki A">A.M. Zaki</name></author><author><name sortKey="Van Boheemen, S" uniqKey="Van Boheemen S">S. van Boheemen</name></author><author><name sortKey="Bestebroer, T M" uniqKey="Bestebroer T">T.M. 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Abedi</name></author><author><name sortKey="Lu, X" uniqKey="Lu X">X. Lu</name></author><author><name sortKey="Saeed, A B" uniqKey="Saeed A">A.B. Saeed</name></author><author><name sortKey="Abdalla, O" uniqKey="Abdalla O">O. Abdalla</name></author><author><name sortKey="Mohammed, M" uniqKey="Mohammed M">M. Mohammed</name></author><author><name sortKey="Al Abdely, H M" uniqKey="Al Abdely H">H.M. Al-Abdely</name></author><author><name sortKey="Algarni, H S" uniqKey="Algarni H">H.S. Algarni</name></author><author><name sortKey="Alhakeem, R F" uniqKey="Alhakeem R">R.F. Alhakeem</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Arabie saoudite</li></country></list><tree><country name="Arabie saoudite"><noRegion><name sortKey="Al Ahmadi, Khalid" sort="Al Ahmadi, Khalid" uniqKey="Al Ahmadi K" first="Khalid" last="Al-Ahmadi">Khalid Al-Ahmadi</name></noRegion><name sortKey="Al Zahrani, Ali" sort="Al Zahrani, Ali" uniqKey="Al Zahrani A" first="Ali" last="Al-Zahrani">Ali Al-Zahrani</name><name sortKey="Alahmadi, Sabah" sort="Alahmadi, Sabah" uniqKey="Alahmadi S" first="Sabah" last="Alahmadi">Sabah Alahmadi</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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