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Closed environments facilitate secondary transmission of coronavirus disease 2019 (COVID-19)
Hiroshi Nishiura; Hitoshi Oshitani; Tetsuro Kobayashi; Tomoya Saito; Tomimasa Sunagawa; Tamano Matsui; Takaji Wakita; MHLW COVID-19 Response Team; Motoi Suzuki.
Affiliation
  • Hiroshi Nishiura; Hokkaido University
  • Hitoshi Oshitani; Tohoku University
  • Tetsuro Kobayashi; Hokkaido University
  • Tomoya Saito; National Institute of Public Health
  • Tomimasa Sunagawa; National Institute of Infectious Diseases
  • Tamano Matsui; National Institute of Infectious Diseases
  • Takaji Wakita; National Institute of Infectious Diseases
  • MHLW COVID-19 Response Team;
  • Motoi Suzuki; National Institute of Infectious Diseases
Preprint in English | medRxiv | ID: ppmedrxiv-20029272
ABSTRACT
ObjectiveTo identify common features of cases with novel coronavirus disease (COVID-19) so as to better understand what factors promote secondary transmission including superspreading events. MethodsA total of 110 cases were examined among eleven clusters and sporadic cases, and investigated who acquired infection from whom. The clusters included four in Tokyo and one each in Aichi, Fukuoka, Hokkaido, Ishikawa, Kanagawa and Wakayama prefectures. The number of secondary cases generated by each primary case was calculated using contact tracing data. ResultsOf the 110 cases examined, 27 (24.6%) were primary cases who generated secondary cases. The odds that a primary case transmitted COVID-19 in a closed environment was 18.7 times greater compared to an open-air environment (95% confidence interval [CI] 6.0, 57.9). ConclusionsIt is plausible that closed environments contribute to secondary transmission of COVID-19 and promote superspreading events. Our findings are also consistent with the declining incidence of COVID-19 cases in China, as gathering in closed environments was prohibited in the wake of the rapid spread of the disease.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
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