Article ; Online: Comparison of spatiotemporal characteristics of the COVID-19 and SARS outbreaks in mainland China.
2020 Volume 20, Issue 1, Page(s) 805
Abstract: ... whether COVID-19 and SARS exhibited similar spatial and temporal features at provincial level in mainland China ... spatiotemporal patterns of the COVID-19 and SARS epidemics using spatial statistics such as Moran's I and ... 135.08, 95% CI: 128.36-142.08) for COVID-19 and 4 clusters (mainly in Northern China; the highest RR ...
| Abstract | Background: Both coronavirus disease 2019 (COVID-19) and severe acute respiratory syndrome (SARS) are caused by coronaviruses and have infected people in China and worldwide. We aimed to investigate whether COVID-19 and SARS exhibited similar spatial and temporal features at provincial level in mainland China. Methods: The number of people infected by COVID-19 and SARS were extracted from daily briefings on newly confirmed cases during the epidemics, as of Mar. 4, 2020 and Aug. 3, 2003, respectively. We depicted spatiotemporal patterns of the COVID-19 and SARS epidemics using spatial statistics such as Moran's I and the local indicators of spatial association (LISA). Results: Compared to SARS, COVID-19 had a higher overall incidence. We identified 3 clusters (predominantly located in south-central China; the highest RR = 135.08, 95% CI: 128.36-142.08) for COVID-19 and 4 clusters (mainly in Northern China; the highest RR = 423.51, 95% CI: 240.96-722.32) for SARS. Fewer secondary clusters were identified after the "Wuhan lockdown". The LISA cluster map detected a significantly high-low (Hubei) and low-high spatial clustering (Anhui, Hunan, and Jiangxi, in Central China) for COVID-19. Two significant high-high (Beijing and Tianjin) and low-high (Hebei) clusters were detected for SARS. Conclusions: COVID-19 and SARS outbreaks exhibited distinct spatiotemporal clustering patterns at the provincial levels in mainland China, which may be attributable to changes in social and demographic factors, local government containment strategies or differences in transmission mechanisms. |
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| MeSH term(s) | Betacoronavirus/physiology ; COVID-19 ; China/epidemiology ; Cluster Analysis ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Disease Outbreaks/statistics & numerical data ; Humans ; Incidence ; Pandemics/prevention & control ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; Severe acute respiratory syndrome-related coronavirus/physiology ; SARS-CoV-2 ; Severe Acute Respiratory Syndrome/epidemiology ; Severe Acute Respiratory Syndrome/prevention & control ; Severe Acute Respiratory Syndrome/transmission ; Spatio-Temporal Analysis |
| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-10-30 |
| Publishing country | England |
| Document type | Comparative Study ; Journal Article |
| ZDB-ID | 2041550-3 |
| ISSN | 1471-2334 ; 1471-2334 |
| ISSN (online) | 1471-2334 |
| ISSN | 1471-2334 |
| DOI | 10.1186/s12879-020-05537-y |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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