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10.1097/INF.0000000000003279

http://scihub22266oqcxt.onion/10.1097/INF.0000000000003279
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34321438!8505138!34321438
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suck abstract from ncbi


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pmid34321438      Pediatr+Infect+Dis+J 2021 ; 40 (11): 955-961
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  • Age-dependency of the Propagation Rate of Coronavirus Disease 2019 Inside School Bubble Groups in Catalonia, Spain #MMPMID34321438
  • Alonso S; Alvarez-Lacalle E; Catala M; Lopez D; Jordan I; Garcia-Garcia JJ; Soriano-Arandes A; Lazcano U; Salles P; Masats M; Urrutia J; Gatell A; Capdevila R; Soler-Palacin P; Bassat Q; Prats C
  • Pediatr Infect Dis J 2021[Nov]; 40 (11): 955-961 PMID34321438show ga
  • BACKGROUND: We analyzed contagions of coronavirus disease 2019 inside school bubble groups in Catalonia, Spain, in the presence of strong nonpharmaceutical interventions from September to December 2020. More than 1 million students were organized in bubble groups and monitored and analyzed by the Health and the Educational departments. METHODS: We had access to 2 data sources, and both were employed for the analysis, one is the Catalan school surveillance system and the other of the educational department. As soon as a positive index case is detected by the health system, isolation is required for all members of the bubble group, in addition to a mandatory proactive systematic screening of each individual. All infected cases are reported. It permits the calculation of the average reproductive number (R*), corresponding to the average number of infected individuals per index case. RESULTS: We found that propagation inside of the bubble group was small. Among 75% index cases, there was no transmission to other members in the classroom, with an average R* across all ages inside the bubble of R* = 0.4. We found a significant age trend in the secondary attack rates, with the R* going from 0.2 in preschool to 0.6 in high school youth. CONCLUSIONS: The secondary attack rate depends on the school level and therefore on the age. Super-spreading events (outbreaks of 5 cases or more) in childhood were rare, only occurring in 2.5% of all infections triggered from a pediatric index case.
  • |*SARS-CoV-2[MESH]
  • |*Schools[MESH]
  • |*Students[MESH]
  • |Adolescent[MESH]
  • |Age Factors[MESH]
  • |Algorithms[MESH]
  • |COVID-19/*epidemiology/*virology[MESH]
  • |Child[MESH]
  • |Child, Preschool[MESH]
  • |Disease Outbreaks[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Models, Statistical[MESH]
  • |Population Surveillance[MESH]


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