[Epidemiological characteristics of COVID-19 monitoring cases in Yinzhou district based on health big data platform].
Zhonghua Liu Xing Bing Xue Za Zhi
; 41(8): 1220-1224, 2020 Aug 10.
Article
en Zh
| MEDLINE
| ID: mdl-32867427
ABSTRACT
Objective:
To understand the epidemiological characteristics of COVID-19 monitoring cases in Yinzhou district based on health big data platform to provide evidence for the construction of COVID-19 monitoring system.Methods:
Data on Yinzhou COVID-19 daily surveillance were collected. Information on patients' population classification, epidemiological history, COVID-19 nucleic acid detection rate, positive detection rate and confirmed cases monitoring detection rate were analyzed.Results:
Among the 1 595 COVID-19 monitoring cases, 79.94% were community population and 20.06% were key population. The verification rate of monitoring cases was 100.00%. The total percentage of epidemiological history related to Wuhan city or Hubei province was 6.27% in total, and was 2.12% in community population and 22.81% in key population (P<0.001). The total COVID-19 nucleic acid detection rate was 18.24% (291/1 595), and 53.00% in those with epidemiological history and 15.92% in those without (P<0.001).The total positive detection rate was 1.72% (5/291) and the confirmed cases monitoring detection rate was 0.31% (5/1 595). The time interval from the first visit to the first nucleic acid detection of the confirmed monitoring cases and other confirmed cases was statistically insignificant (P>0.05).Conclusions:
The monitoring system of COVID-19 based on the health big data platform was working well but the confirmed cases monitoring detection rate need to be improved.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neumonía Viral
/
Infecciones por Coronavirus
/
Betacoronavirus
Tipo de estudio:
Screening_studies
Límite:
Humans
País/Región como asunto:
Asia
Idioma:
Zh
Revista:
Zhonghua Liu Xing Bing Xue Za Zhi
Año:
2020
Tipo del documento:
Article
País de afiliación:
China