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Epidemiologic characteristics and influencing factors of cluster infection of COVID-19 in Jiangsu Province.
Ai, Jing; Shi, Naiyang; Shi, Yingying; Xu, Ke; Dai, Qigang; Liu, Wendong; Chen, Liling; Wang, Junjun; Gao, Qiang; Ji, Hong; Wu, Ying; Huang, Haodi; Zhao, Ziping; Jin, Hui; Bao, Changjun.
  • Ai J; Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
  • Shi N; Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
  • Shi Y; Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
  • Xu K; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Nanjing, China.
  • Dai Q; Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
  • Liu W; Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
  • Chen L; Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
  • Wang J; Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
  • Gao Q; Suzhou Centre for Disease Control and Prevention, Suzhou, China.
  • Ji H; Nanjing Centre for Disease Control and Prevention, Nanjing, China.
  • Wu Y; Huaian Centre for Disease Control and Prevention, Huaian, China.
  • Huang H; Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
  • Zhao Z; Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
  • Jin H; Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
  • Bao C; School of Public Health, Nanjing Medical University, Nanjing, China.
Epidemiol Infect ; 149: e48, 2021 02 10.
Article in English | MEDLINE | ID: covidwho-1129262
ABSTRACT
To understand the characteristics and influencing factors related to cluster infections in Jiangsu Province, China, we investigated case reports to explore transmission dynamics and influencing factors of scales of cluster infection. The effectiveness of interventions was assessed by changes in the time-dependent reproductive number (Rt). From 25th January to 29th February, Jiangsu Province reported a total of 134 clusters involving 617 cases. Household clusters accounted for 79.85% of the total. The time interval from onset to report of index cases was 8 days, which was longer than that of secondary cases (4 days) (χ2 = 22.763, P < 0.001) and had a relationship with the number of secondary cases (the correlation coefficient (r) = 0.193, P = 0.040). The average interval from onset to report was different between family cluster cases (4 days) and community cluster cases (7 days) (χ2 = 28.072, P < 0.001). The average time interval from onset to isolation of patients with secondary infection (5 days) was longer than that of patients without secondary infection (3 days) (F = 9.761, P = 0.002). Asymptomatic patients and non-familial clusters had impacts on the size of the clusters. The average reduction in the Rt value in family clusters (26.00%, 0.26 ± 0.22) was lower than that in other clusters (37.00%, 0.37 ± 0.26) (F = 4.400, P = 0.039). Early detection of asymptomatic patients and early reports of non-family clusters can effectively weaken cluster infections.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coinfection / COVID-19 Type of study: Observational study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Epidemiol Infect Journal subject: Communicable Diseases / Epidemiology Year: 2021 Document Type: Article Affiliation country: S0950268821000327

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coinfection / COVID-19 Type of study: Observational study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Epidemiol Infect Journal subject: Communicable Diseases / Epidemiology Year: 2021 Document Type: Article Affiliation country: S0950268821000327