CovidV2, Main, Exploration, bibRecord, 000471

Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study

Identifieur interne : 000471 ( Main/Exploration ); précédent : 000470; suivant : 000472

Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study

Auteurs : Changyu Fan ; Linping Liu [République populaire de Chine] ; Wei Guo ; Anuo Yang ; Chenchen Ye ; Maitixirepu Jilili ; Meina Ren ; Peng Xu ; Hexing Long ; Yufan Wang

Source :

International Journal of Environmental Research and Public Health [ 1661-7827 ] ; 2020.

RBID : PMC:7084718

Descripteurs français

KwdFr :
- Adulte, Adulte d'âge moyen, Caractéristiques familiales, Chine (épidémiologie), Commémorations et événements particuliers, Coronavirus, Femelle, Humains, Infections à coronavirus (transmission), Infections à coronavirus (épidémiologie), Jeune adulte, Mâle, Pneumopathie virale (transmission), Pneumopathie virale (épidémiologie), Population rurale, Prévision, Saisons, Santé de la famille, Sujet âgé, Vacances, Villes, Émigration et immigration, Épidémies.
MESH :
- épidémiologie : Chine, Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Caractéristiques familiales, Commémorations et événements particuliers, Coronavirus, Femelle, Humains, Jeune adulte, Mâle, Population rurale, Prévision, Saisons, Santé de la famille, Sujet âgé, Vacances, Villes, Émigration et immigration, Épidémies.
Wicri :
- geographic : République populaire de Chine.

English descriptors

KwdEn :
- Adult, Aged, Anniversaries and Special Events, Betacoronavirus (isolation & purification), Betacoronavirus (pathogenicity), China (epidemiology), Cities, Coronavirus, Coronavirus Infections (epidemiology), Coronavirus Infections (transmission), Emigration and Immigration, Epidemics, Family Characteristics, Family Health, Female, Forecasting, Holidays, Humans, Male, Middle Aged, Pneumonia, Viral (epidemiology), Pneumonia, Viral (transmission), Rural Population, Seasons, Young Adult.
MESH :
- geographic , epidemiology : China.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- isolation & purification : Betacoronavirus.
- pathogenicity : Betacoronavirus.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- Adult, Aged, Anniversaries and Special Events, Cities, Coronavirus, Emigration and Immigration, Epidemics, Family Characteristics, Family Health, Female, Forecasting, Holidays, Humans, Male, Middle Aged, Rural Population, Seasons, Young Adult.

Abstract

After the 2019 novel coronavirus (2019-nCoV) outbreak, we estimated the distribution and scale of more than 5 million migrants residing in Wuhan after they returned to their hometown communities in Hubei Province or other provinces at the end of 2019 by using the data from the 2013–2018 China Migrants Dynamic Survey (CMDS). We found that the distribution of Wuhan’s migrants is centred in Hubei Province (approximately 75%) at a provincial level, gradually decreasing in the surrounding provinces in layers, with obvious spatial characteristics of circle layers and echelons. The scale of Wuhan’s migrants, whose origins in Hubei Province give rise to a gradient reduction from east to west within the province, and account for 66% of Wuhan’s total migrants, are from the surrounding prefectural-level cities of Wuhan. The distribution comprises 94 districts and counties in Hubei Province, and the cumulative percentage of the top 30 districts and counties exceeds 80%. Wuhan’s migrants have a large proportion of middle-aged and high-risk individuals. Their social characteristics include nuclear family migration (84%), migration with families of 3–4 members (71%), a rural household registration (85%), and working or doing business (84%) as the main reason for migration. Using a quasi-experimental analysis framework, we found that the size of Wuhan’s migrants was highly correlated with the daily number of confirmed cases. Furthermore, we compared the epidemic situation in different regions and found that the number of confirmed cases in some provinces and cities in Hubei Province may be underestimated, while the epidemic situation in some regions has increased rapidly. The results are conducive to monitoring the epidemic prevention and control in various regions.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084718

DOI: 10.3390/ijerph17051679
PubMed: 32143519
PubMed Central: 7084718

Affiliations:

République populaire de Chine

Le document en format XML

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<front><div type="abstract" xml:lang="en"><p>After the 2019 novel coronavirus (2019-nCoV) outbreak, we estimated the distribution and scale of more than 5 million migrants residing in Wuhan after they returned to their hometown communities in Hubei Province or other provinces at the end of 2019 by using the data from the 2013–2018 China Migrants Dynamic Survey (CMDS). We found that the distribution of Wuhan’s migrants is centred in Hubei Province (approximately 75%) at a provincial level, gradually decreasing in the surrounding provinces in layers, with obvious spatial characteristics of circle layers and echelons. The scale of Wuhan’s migrants, whose origins in Hubei Province give rise to a gradient reduction from east to west within the province, and account for 66% of Wuhan’s total migrants, are from the surrounding prefectural-level cities of Wuhan. The distribution comprises 94 districts and counties in Hubei Province, and the cumulative percentage of the top 30 districts and counties exceeds 80%. Wuhan’s migrants have a large proportion of middle-aged and high-risk individuals. Their social characteristics include nuclear family migration (84%), migration with families of 3–4 members (71%), a rural household registration (85%), and working or doing business (84%) as the main reason for migration. Using a quasi-experimental analysis framework, we found that the size of Wuhan’s migrants was highly correlated with the daily number of confirmed cases. Furthermore, we compared the epidemic situation in different regions and found that the number of confirmed cases in some provinces and cities in Hubei Province may be underestimated, while the epidemic situation in some regions has increased rapidly. The results are conducive to monitoring the epidemic prevention and control in various regions.</p>
</div>
</front>
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<affiliations><list><country><li>République populaire de Chine</li>
</country>
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<tree><noCountry><name sortKey="Fan, Changyu" sort="Fan, Changyu" uniqKey="Fan C" first="Changyu" last="Fan">Changyu Fan</name>
<name sortKey="Guo, Wei" sort="Guo, Wei" uniqKey="Guo W" first="Wei" last="Guo">Wei Guo</name>
<name sortKey="Jilili, Maitixirepu" sort="Jilili, Maitixirepu" uniqKey="Jilili M" first="Maitixirepu" last="Jilili">Maitixirepu Jilili</name>
<name sortKey="Long, Hexing" sort="Long, Hexing" uniqKey="Long H" first="Hexing" last="Long">Hexing Long</name>
<name sortKey="Ren, Meina" sort="Ren, Meina" uniqKey="Ren M" first="Meina" last="Ren">Meina Ren</name>
<name sortKey="Wang, Yufan" sort="Wang, Yufan" uniqKey="Wang Y" first="Yufan" last="Wang">Yufan Wang</name>
<name sortKey="Xu, Peng" sort="Xu, Peng" uniqKey="Xu P" first="Peng" last="Xu">Peng Xu</name>
<name sortKey="Yang, Anuo" sort="Yang, Anuo" uniqKey="Yang A" first="Anuo" last="Yang">Anuo Yang</name>
<name sortKey="Ye, Chenchen" sort="Ye, Chenchen" uniqKey="Ye C" first="Chenchen" last="Ye">Chenchen Ye</name>
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Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study

Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study

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