Article ; Online: The pandemic characteristics of 2019-nCoV: case-control study for severity and geographic locations for 2019-nCoV epidemics worldwide.
2020 Volume 46, Issue 1, Page(s) 94
Abstract: Using available official data we found 248 epidemics curves caused worldwide by the 2019-nCoV in the period December 2019-March 31st 2020. The analysis of this material allowed two main observations: 1) it is possible to describe the main geographical ... ...
Abstract | Using available official data we found 248 epidemics curves caused worldwide by the 2019-nCoV in the period December 2019-March 31st 2020. The analysis of this material allowed two main observations: 1) it is possible to describe the main geographical pathway of the diffusion of the virus in different directions. This strongly suggests a unique point of origin of the pandemics in Wuhan, China, from where it spread in many different directions. 2) of the 74 epidemics which were characterized by at least 1000 cases, 65 (90%) were located in the geographic region of the world delimitated by 52-30 degrees latitude North. Viceversa 110 (60%) of the 176 epidemics with less than 1000 cases were located outside the cited geographical world region. These results suggest considerations on the pandemic characteristics of 2019-nCoV. |
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MeSH term(s) | Betacoronavirus/isolation & purification ; COVID-19 ; Case-Control Studies ; China/epidemiology ; Communicable Disease Control/organization & administration ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Disease Outbreaks/statistics & numerical data ; Female ; Geography ; Global Health ; Humans ; Male ; Pandemics/prevention & control ; Pandemics/statistics & numerical data ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Risk Factors ; SARS-CoV-2 ; Severity of Illness Index |
Keywords | covid19 |
Language | English |
Publishing date | 2020-07-08 |
Publishing country | England |
Document type | Letter |
ZDB-ID | 2088556-8 |
ISSN | 1824-7288 ; 1720-8424 |
ISSN (online) | 1824-7288 |
ISSN | 1720-8424 |
DOI | 10.1186/s13052-020-00856-x |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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