Your browser doesn't support javascript.
Temporal and Spatial Cluster Analysis of 2019 Novel Coronavirus Pneumonia in Chongqing, 2020.1∼2020.2.
Dai, Xiaoying; Sun, Rui.
  • Dai X; Chongqing Medical and Pharmaceutical College, Chongqing, China.
  • Sun R; Public Administration Bureau of Chongqing High Tech Zone Management Committee, Chongqing, China.
Comput Intell Neurosci ; 2022: 8491628, 2022.
Artículo en Inglés | MEDLINE | ID: covidwho-2083052
ABSTRACT
In order to explore the spatial and temporal distribution characteristics of COVID-19 in Chongqing from January 22 to February 25, 2010, and provide a series of suggestions for scientific prevention and control of epidemic situation, we will mainly analyze the epidemic situation data of Chongqing Municipal Health Committee members and improve the descriptive analysis. Regional distribution and spatiotemporal scans were analyzed for COVID-19 outbreaks using ArcGIS10.2 and SaTScan9. 5 software. After the analysis, a total of 576 novel coronavirus pneumonia patients were confirmed in Chongqing. The incidence trend increased rapidly from January 22 to January 31, then decreased gradually, and there were no new cases until February 25. The purely spatial scanning results were consistent with spatiotemporal scanning, and a first-level accumulation area was detected by spatiotemporal scanning in the east and northeast of Chongqing from January 22 to February 10. From January 22 to February 25, 2020,COVID-19 occurred in the eastern and northeast regions of Chongqing. It is recommended to strengthen the detection of cluster areas to prevent another outbreak of COVID-19 risk.
Asunto(s)

Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico Límite: Humanos País/Región como asunto: Asia Idioma: Inglés Revista: Comput Intell Neurosci Asunto de la revista: Informática Médica / Neurología Año: 2022 Tipo del documento: Artículo País de afiliación: 2022

Similares

MEDLINE

...
LILACS

LIS


Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico Límite: Humanos País/Región como asunto: Asia Idioma: Inglés Revista: Comput Intell Neurosci Asunto de la revista: Informática Médica / Neurología Año: 2022 Tipo del documento: Artículo País de afiliación: 2022