Passengers' destinations from China: low risk of Novel Coronavirus (2019-nCoV) transmission into Africa and South America
Identifieur interne : 000B49 ( Ncbi/Curation ); précédent : 000B48; suivant : 000B50Passengers' destinations from China: low risk of Novel Coronavirus (2019-nCoV) transmission into Africa and South America
Auteurs : Najmul Haider ; Alexei Yavlinsky [Royaume-Uni] ; David Simons ; Abdinasir Yusuf Osman ; Francine Ntoumi [Allemagne] ; Alimuddin Zumla [Royaume-Uni] ; Richard KockSource :
- Epidemiology and Infection [ 0950-2688 ] ; ????.
Descripteurs français
- KwdFr :
- Afrique (épidémiologie), Amérique du Sud (épidémiologie), Aéroports, Chine (épidémiologie), Flambées de maladies, Humains, Infections à coronavirus (diagnostic), Infections à coronavirus (transmission), Infections à coronavirus (épidémiologie), Médecine des voyages, Pneumopathie virale (diagnostic), Pneumopathie virale (transmission), Pneumopathie virale (épidémiologie), Surveillance de la population, Voyage aérien, Évaluation des risques.
- MESH :
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- Africa (epidemiology), Air Travel, Airports, Betacoronavirus, China (epidemiology), Communicable Diseases, Imported, Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (transmission), Disease Outbreaks, Humans, Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Pneumonia, Viral (transmission), Population Surveillance, Risk Assessment, South America (epidemiology), Travel Medicine.
- MESH :
- geographic , epidemiology : Africa, China, South America.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- Air Travel, Airports, Betacoronavirus, Communicable Diseases, Imported, Disease Outbreaks, Humans, Population Surveillance, Risk Assessment, Travel Medicine.
Abstract
Novel Coronavirus (2019-nCoV [SARS-COV-2]) was detected in humans during the last week of December 2019 at Wuhan city in China, and caused 24 554 cases in 27 countries and territories as of 5 February 2020. The objective of this study was to estimate the risk of transmission of 2019-nCoV through human passenger air flight from four major cities of China (Wuhan, Beijing, Shanghai and Guangzhou) to the passengers' destination countries. We extracted the weekly simulated passengers' end destination data for the period of 1–31 January 2020 from FLIRT, an online air travel dataset that uses information from 800 airlines to show the direct flight and passengers' end destination. We estimated a risk index of 2019-nCoV transmission based on the number of travellers to destination countries, weighted by the number of confirmed cases of the departed city reported by the World Health Organization (WHO). We ranked each country based on the risk index in four quantiles (4th quantile being the highest risk and 1st quantile being the lowest risk). During the period, 388 287 passengers were destined for 1297 airports in 168 countries or territories across the world. The risk index of 2019-nCoV among the countries had a very high correlation with the WHO-reported confirmed cases (0.97). According to our risk score classification, of the countries that reported at least one Coronavirus-infected pneumonia (COVID-19) case as of 5 February 2020, 24 countries were in the 4th quantile of the risk index, two in the 3rd quantile, one in the 2nd quantile and none in the 1st quantile. Outside China, countries with a higher risk of 2019-nCoV transmission are Thailand, Cambodia, Malaysia, Canada and the USA, all of which reported at least one case. In pan-Europe, UK, France, Russia, Germany and Italy; in North America, USA and Canada; in Oceania, Australia had high risk, all of them reported at least one case. In Africa and South America, the risk of transmission is very low with Ethiopia, South Africa, Egypt, Mauritius and Brazil showing a similar risk of transmission compared to the risk of any of the countries where at least one case is detected. The risk of transmission on 31 January 2020 was very high in neighbouring Asian countries, followed by Europe (UK, France, Russia and Germany), Oceania (Australia) and North America (USA and Canada). Increased public health response including early case recognition, isolation of identified case, contract tracing and targeted airport screening, public awareness and vigilance of health workers will help mitigate the force of further spread to naïve countries.
Url:
DOI: 10.1017/S0950268820000424
PubMed: 32100667
PubMed Central: 7058650
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<term>Betacoronavirus</term>
<term>China (epidemiology)</term>
<term>Communicable Diseases, Imported</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (transmission)</term>
<term>Disease Outbreaks</term>
<term>Humans</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (transmission)</term>
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<term>Risk Assessment</term>
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<term>Chine (épidémiologie)</term>
<term>Flambées de maladies</term>
<term>Humains</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (transmission)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Médecine des voyages</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (transmission)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Surveillance de la population</term>
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<term>Évaluation des risques</term>
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<term>China</term>
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<front><div type="abstract" xml:lang="en"><p>Novel Coronavirus (2019-nCoV [SARS-COV-2]) was detected in humans during the last week of December 2019 at Wuhan city in China, and caused 24 554 cases in 27 countries and territories as of 5 February 2020. The objective of this study was to estimate the risk of transmission of 2019-nCoV through human passenger air flight from four major cities of China (Wuhan, Beijing, Shanghai and Guangzhou) to the passengers' destination countries. We extracted the weekly simulated passengers' end destination data for the period of 1–31 January 2020 from FLIRT, an online air travel dataset that uses information from 800 airlines to show the direct flight and passengers' end destination. We estimated a risk index of 2019-nCoV transmission based on the number of travellers to destination countries, weighted by the number of confirmed cases of the departed city reported by the World Health Organization (WHO). We ranked each country based on the risk index in four quantiles (4<sup>th</sup>
quantile being the highest risk and 1<sup>st</sup>
quantile being the lowest risk). During the period, 388 287 passengers were destined for 1297 airports in 168 countries or territories across the world. The risk index of 2019-nCoV among the countries had a very high correlation with the WHO-reported confirmed cases (0.97). According to our risk score classification, of the countries that reported at least one Coronavirus-infected pneumonia (COVID-19) case as of 5 February 2020, 24 countries were in the 4<sup>th</sup>
quantile of the risk index, two in the 3<sup>rd</sup>
quantile, one in the 2<sup>nd</sup>
quantile and none in the 1<sup>st</sup>
quantile. Outside China, countries with a higher risk of 2019-nCoV transmission are Thailand, Cambodia, Malaysia, Canada and the USA, all of which reported at least one case. In pan-Europe, UK, France, Russia, Germany and Italy; in North America, USA and Canada; in Oceania, Australia had high risk, all of them reported at least one case. In Africa and South America, the risk of transmission is very low with Ethiopia, South Africa, Egypt, Mauritius and Brazil showing a similar risk of transmission compared to the risk of any of the countries where at least one case is detected. The risk of transmission on 31 January 2020 was very high in neighbouring Asian countries, followed by Europe (UK, France, Russia and Germany), Oceania (Australia) and North America (USA and Canada). Increased public health response including early case recognition, isolation of identified case, contract tracing and targeted airport screening, public awareness and vigilance of health workers will help mitigate the force of further spread to naïve countries.</p>
</div>
</front>
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<author><name sortKey="Xia, Y" uniqKey="Xia Y">Y Xia</name>
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<author><name sortKey="Wang, H" uniqKey="Wang H">H Wang</name>
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