Spatio-temporal characteristics and control strategies in the early period of COVID-19 spread: a case study of the mainland China.
COVID-19
China
Inflection point
Policy-making
Spatio-temporal analysis
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Sep 2021
Sep 2021
Historique:
received:
06
02
2021
accepted:
20
04
2021
pubmed:
28
4
2021
medline:
4
9
2021
entrez:
27
4
2021
Statut:
ppublish
Résumé
COVID-19 has caused huge impacts on human health and the economic operation of the world. Analyzing and summarizing the early propagation law can help reduce the losses caused by public health emergencies in the future. Early data on the spread of COVID-19 in 30 provinces (autonomous regions and municipalities) of mainland China except for Hubei, Hong Kong, Macao, and Taiwan were selected in this study. Spatio-temporal analysis, inflection point analysis, and correlation analysis are used to explore the spatio-temporal characteristics in the early COVID-19 spread. The results suggested that (1) the total confirmed cases have risen in an "S"-shaped curve over time, and the daily new cases have first increased and finally decreased; (2) the spatial distributions of both total and daily new cases show a trend of more in the east and less in the west, with a "multi-center agglomeration distribution" around Hubei Province and some major cities; (3) the spatial agglomeration of total confirmed cases has been increasing over time, while that of the daily new cases shows much more obvious in the mid-stage; and (4) timely release of the first-level public health emergency response can accelerate the emergence of the epidemic inflection point. The above analysis results have a specific reference value for the government's policy-making and measures to face public health emergencies.
Identifiants
pubmed: 33904137
doi: 10.1007/s11356-021-14092-1
pii: 10.1007/s11356-021-14092-1
pmc: PMC8075720
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
48298-48311Subventions
Organisme : National Natural Science Foundation of China
ID : 42071416
Organisme : National Natural Science Foundation of China
ID : 42007063
Organisme : National Natural Science Foundation of China
ID : 72074181
Organisme : Program of Shaanxi Provincial Natural Science Foundation
ID : 2020JM-170
Organisme : China Postdoctoral Science Foundation
ID : 2020M683595
Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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