Lessons learned from the 2019-nCoV epidemic on prevention of future infectious diseases.
Identifieur interne : 000612 ( Main/Exploration ); précédent : 000611; suivant : 000613Lessons learned from the 2019-nCoV epidemic on prevention of future infectious diseases.
Auteurs : Xingchen Pan [République populaire de Chine] ; David M. Ojcius [États-Unis] ; Tianyue Gao [Canada] ; Zhongsheng Li [République populaire de Chine] ; Chunhua Pan [République populaire de Chine] ; Chungen Pan [République populaire de Chine]Source :
- Microbes and infection [ 1769-714X ] ; 2020.
Descripteurs français
- KwdFr :
- MESH :
- virologie : Chiroptera, Zoonoses.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- Animaux, Chine, Communication, Gouvernement, Humains, Infections à coronavirus, Pneumopathie virale, Santé publique, Voyage, Épidémies.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- Animals, Betacoronavirus (pathogenicity), China, Chiroptera (virology), Communication, Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Epidemics (prevention & control), Government, Humans, Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Public Health (methods), Travel, Zoonoses (virology).
- MESH :
- geographic : China.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- methods : Public Health.
- pathogenicity : Betacoronavirus.
- prevention & control : Coronavirus Infections, Epidemics, Pneumonia, Viral.
- virology : Chiroptera, Zoonoses.
- Animals, Communication, Government, Humans, Travel.
Abstract
Only a month after the outbreak of pneumonia caused by 2019-nCoV, more than forty-thousand people were infected. This put enormous pressure on the Chinese government, medical healthcare provider, and the general public, but also made the international community deeply nervous. On the 25th day after the outbreak, the Chinese government implemented strict traffic restrictions on the area where the 2019-nCoV had originated-Hubei province, whose capital city is Wuhan. Ten days later, the rate of increase of cases in Hubei showed a significant difference (p = 0.0001) compared with the total rate of increase in other provinces of China. These preliminary data suggest the effectiveness of a traffic restriction policy for this pandemic thus far. At the same time, solid financial support and improved research ability, along with network communication technology, also greatly facilitated the application of epidemic prevention measures. These measures were motivated by the need to provide effective treatment of patients, and involved consultation with three major groups in policy formulation-public health experts, the government, and the general public. It was also aided by media and information technology, as well as international cooperation. This experience will provide China and other countries with valuable lessons for quickly coordinating and coping with future public health emergencies.
DOI: 10.1016/j.micinf.2020.02.004
PubMed: 32088333
Affiliations:
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Ojcius</name><affiliation wicri:level="3"><nlm:affiliation>Department of Biomedical Sciences, University of the Pacific, School of Dentistry, San Francisco, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biomedical Sciences, University of the Pacific, School of Dentistry, San Francisco</wicri:regionArea><placeName><settlement type="city">San Francisco</settlement><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Gao, Tianyue" sort="Gao, Tianyue" uniqKey="Gao T" first="Tianyue" last="Gao">Tianyue Gao</name><affiliation wicri:level="1"><nlm:affiliation>Earl Haig Secondary School, North York, Ontario, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Earl Haig Secondary School, North York, Ontario</wicri:regionArea><wicri:noRegion>Ontario</wicri:noRegion></affiliation></author><author><name sortKey="Li, Zhongsheng" sort="Li, Zhongsheng" uniqKey="Li Z" first="Zhongsheng" last="Li">Zhongsheng Li</name><affiliation wicri:level="3"><nlm:affiliation>Guangdong Haid Institute of Animal Husbandry & Veterinary, Guangdong Provincial Key Laboratory of Research on the Technology of Pig-breeding and Pig-disease Prevention, Haid Research Institute, Guangdong Haid Group Co., Ltd, Guangzhou, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Guangdong Haid Institute of Animal Husbandry & Veterinary, Guangdong Provincial Key Laboratory of Research on the Technology of Pig-breeding and Pig-disease Prevention, Haid Research Institute, Guangdong Haid Group Co., Ltd, Guangzhou</wicri:regionArea><placeName><settlement type="city">Jiangmen</settlement><region type="province">Guangdong</region></placeName></affiliation></author><author><name sortKey="Pan, Chunhua" sort="Pan, Chunhua" uniqKey="Pan C" first="Chunhua" last="Pan">Chunhua Pan</name><affiliation wicri:level="3"><nlm:affiliation>The 1st Ward of the Medical Department, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China. Electronic address: chhpan@163.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>The 1st Ward of the Medical Department, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou</wicri:regionArea><placeName><settlement type="city">Jiangmen</settlement><region type="province">Guangdong</region></placeName></affiliation></author><author><name sortKey="Pan, Chungen" sort="Pan, Chungen" uniqKey="Pan C" first="Chungen" last="Pan">Chungen Pan</name><affiliation wicri:level="3"><nlm:affiliation>Guangdong Haid Institute of Animal Husbandry & Veterinary, Guangdong Provincial Key Laboratory of Research on the Technology of Pig-breeding and Pig-disease Prevention, Haid Research Institute, Guangdong Haid Group Co., Ltd, Guangzhou, China. Electronic address: chungenp@163.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Guangdong Haid Institute of Animal Husbandry & Veterinary, Guangdong Provincial Key Laboratory of Research on the Technology of Pig-breeding and Pig-disease Prevention, Haid Research Institute, Guangdong Haid Group Co., Ltd, Guangzhou</wicri:regionArea><placeName><settlement type="city">Jiangmen</settlement><region type="province">Guangdong</region></placeName></affiliation></author></analytic><series><title level="j">Microbes and infection</title><idno type="eISSN">1769-714X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Betacoronavirus (pathogenicity)</term><term>China</term><term>Chiroptera (virology)</term><term>Communication</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (prevention & control)</term><term>Epidemics (prevention & control)</term><term>Government</term><term>Humans</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (prevention & control)</term><term>Public Health (methods)</term><term>Travel</term><term>Zoonoses (virology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Animaux</term><term>Chine</term><term>Chiroptera (virologie)</term><term>Communication</term><term>Gouvernement</term><term>Humains</term><term>Infections à coronavirus ()</term><term>Infections à coronavirus (épidémiologie)</term><term>Pneumopathie virale ()</term><term>Pneumopathie virale (épidémiologie)</term><term>Santé publique ()</term><term>Voyage</term><term>Zoonoses (virologie)</term><term>Épidémies ()</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Public Health</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Betacoronavirus</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term><term>Epidemics</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Chiroptera</term><term>Zoonoses</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Chiroptera</term><term>Zoonoses</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Communication</term><term>Government</term><term>Humans</term><term>Travel</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Animaux</term><term>Chine</term><term>Communication</term><term>Gouvernement</term><term>Humains</term><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>Santé publique</term><term>Voyage</term><term>Épidémies</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Only a month after the outbreak of pneumonia caused by 2019-nCoV, more than forty-thousand people were infected. This put enormous pressure on the Chinese government, medical healthcare provider, and the general public, but also made the international community deeply nervous. On the 25th day after the outbreak, the Chinese government implemented strict traffic restrictions on the area where the 2019-nCoV had originated-Hubei province, whose capital city is Wuhan. Ten days later, the rate of increase of cases in Hubei showed a significant difference (p = 0.0001) compared with the total rate of increase in other provinces of China. These preliminary data suggest the effectiveness of a traffic restriction policy for this pandemic thus far. At the same time, solid financial support and improved research ability, along with network communication technology, also greatly facilitated the application of epidemic prevention measures. These measures were motivated by the need to provide effective treatment of patients, and involved consultation with three major groups in policy formulation-public health experts, the government, and the general public. It was also aided by media and information technology, as well as international cooperation. This experience will provide China and other countries with valuable lessons for quickly coordinating and coping with future public health emergencies.</div></front></TEI><affiliations><list><country><li>Canada</li><li>République populaire de Chine</li><li>États-Unis</li></country><region><li>Californie</li><li>Guangdong</li></region><settlement><li>Jiangmen</li><li>San Francisco</li></settlement></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Pan, Xingchen" sort="Pan, Xingchen" uniqKey="Pan X" first="Xingchen" last="Pan">Xingchen Pan</name></noRegion><name sortKey="Li, Zhongsheng" sort="Li, Zhongsheng" uniqKey="Li Z" first="Zhongsheng" last="Li">Zhongsheng Li</name><name sortKey="Pan, Chungen" sort="Pan, Chungen" uniqKey="Pan C" first="Chungen" last="Pan">Chungen Pan</name><name sortKey="Pan, Chunhua" sort="Pan, Chunhua" uniqKey="Pan C" first="Chunhua" last="Pan">Chunhua Pan</name></country><country name="États-Unis"><region name="Californie"><name sortKey="Ojcius, David M" sort="Ojcius, David M" uniqKey="Ojcius D" first="David M" last="Ojcius">David M. Ojcius</name></region></country><country name="Canada"><noRegion><name sortKey="Gao, Tianyue" sort="Gao, Tianyue" uniqKey="Gao T" first="Tianyue" last="Gao">Tianyue Gao</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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