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10.3760/cma.j.cn112338-20200304-00251

http://scihub22266oqcxt.onion/10.3760/cma.j.cn112338-20200304-00251
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32447904!ä!32447904

suck abstract from ncbi


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pmid32447904      Zhonghua+Liu+Xing+Bing+Xue+Za+Zhi 2020 ; 41 (5): 667-671
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  • Epidemiological characteristics of infection in COVID-19 close contacts in Ningbo city #MMPMID32447904
  • Chen Y; Wang AH; Yi B; Ding KQ; Wang HB; Wang JM; Shi HB; Wang SJ; Xu GZ
  • Zhonghua Liu Xing Bing Xue Za Zhi 2020[May]; 41 (5): 667-671 PMID32447904show ga
  • Objective: To estimate the infection rate of close contacts of COVID-19 cases, and to evaluate the risk of COVID-19 under different exposure conditions. Methods: A prospective study was used to conduct continuous quarantine medical observations of close contacts of people infected with COVID-19, collect epidemiological, clinical manifestations, and laboratory test data to estimate the infection rate of close contacts under different exposures. Results: The epidemiological curve of COVID-19 in Ningbo showed persistent human-to-human characteristics. A total of 2 147 close contacts were tracked and investigated. The total infection rate was 6.15%. The infection rates of confirmed cases and positive contacts were 6.30% and 4.11%, respectively. The difference was not statistically significant (P>0.05). Among close contacts of different relationships, friends/pilgrims (22.31%), family members (18.01%), and relatives (4.73%) have a higher infection rate, and close contacts of medical staff were not infected. Differences in infection rates among the close contacts were statistically significant (P<0.005). Living with the case (13.26%), taking the same transportation (11.91%), and dining together (7.18%) are high risk factors for infection. Cross-infection in the hospital should not be ignored (1.94%). The median of incubation period is 5 days. Conclusion: The infection rate of close contacts of COVID-19 cases is high, and isolation medical observation measures should be implemented in strict accordance with the close contact management plan.
  • |*Cross Infection[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/*epidemiology[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*epidemiology[MESH]
  • |Prospective Studies[MESH]


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