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dc.contributor.authorBai, Zhihua
dc.contributor.authorGong, Yue
dc.contributor.authorTian, Xiaodong
dc.contributor.authorCao, Ying
dc.contributor.authorLiu, Wenjun
dc.contributor.authorLi, Jing
dc.date.accessioned2020-04-07T18:25:32Z
dc.date.available2020-04-07T18:25:32Z
dc.date.issued2020-04-01
dc.identifier.urihttps://doi.org/10.1007/s12250-020-00219-0en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12663/955
dc.description.abstractHuman beings have experienced a serious public health event as the new pneumonia (COVID-19), caused by the severe acute respiratory syndrome coronavirus has killed more than 3000 people in China, most of them elderly or people with underlying chronic diseases or immunosuppressed states. Rapid assessment and early warning are essential for outbreak analysis in response to serious public health events. This paper reviews the current model analysis methods and conclusions from both micro and macro perspectives. The establishment of a comprehensive assessment model, and the use of model analysis prediction, is very efficient for the early warning of infectious diseases. This would significantly improve global surveillance capacity, particularly in developing regions, and improve basic training in infectious diseases and molecular epidemiology.en_US
dc.languageEnglishen_US
dc.subjectCOVID-19en_US
dc.subjectCoronavirusen_US
dc.subjectInfectious Diseasesen_US
dc.subjectSARS-CoV-2en_US
dc.subjectDisease Outbreaksen_US
dc.titleThe Rapid Assessment and Early Warning Models for COVID-19en_US
eihealth.countryOthersen_US
eihealth.categoryEpidemiology and epidemiological studiesen_US
eihealth.typePublished Articleen_US
eihealth.maincategorySlow Spread / Reducir la Dispersiónen_US
dc.relation.ispartofjournalVirologica Sinicaen_US


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