Analysis of epidemic trend of Coronavirus disease 2019 based on joinpoint regression model
Journal of Tropical Medicine
; 20(10):1375-1379, 2020.
Article
in Chinese
| GIM | ID: covidwho-2011178
ABSTRACT
Objective:
To explore the epidemic trend of coronavirus disease 2019 (COVID-19) and the effect of prevention and control measures in Wuhan and Guangdong province.Method:
A Joinpoint regression model was used to fit the time-series of the daily number of new cases of COV1D- 19 in Wuhan and Guangdong provinces. and the daily average rate of change in the number of new cases at different stages was calculated to estimate the critical point of epidemic trend.
asymptomatic infections; coronavirus disease 2019; disease control; disease prevention; epidemics; human diseases; mathematical models; public health; regression analysis; simulation models; time series; trends; viral diseases; man; Severe acute respiratory syndrome coronavirus 2; China; Guangdong; Hubei; APEC countries; East Asia; Asia; high Human Development Index countries; upper-middle income countries; Central Southern China; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; viruses; People's Republic of China; Kwantung; Hopei; Hupei; SARS-CoV-2; viral infections
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Collection:
Databases of international organizations
Database:
GIM
Language:
Chinese
Journal:
Journal of Tropical Medicine
Year:
2020
Document Type:
Article
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