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Airborne transmission risks of tuberculosis and COVID-19 in schools in South Africa, Switzerland, and Tanzania: Modeling of environmental data.
Banholzer, Nicolas; Schmutz, Remo; Middelkoop, Keren; Hella, Jerry; Egger, Matthias; Wood, Robin; Fenner, Lukas.
Afiliação
  • Banholzer N; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
  • Schmutz R; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
  • Middelkoop K; Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
  • Hella J; Desmond Tutu Health Centre, Department of Medicine, University of Cape Town, Cape Town, South Africa.
  • Egger M; Ifakara Health Institute, Dar-es-Salaam, Tanzania.
  • Wood R; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
  • Fenner L; Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa.
PLOS Glob Public Health ; 4(1): e0002800, 2024.
Article em En | MEDLINE | ID: mdl-38236801
ABSTRACT
The COVID-19 pandemic renewed interest in airborne transmission of respiratory infections, particularly in congregate indoor settings, such as schools. We modeled transmission risks of tuberculosis (caused by Mycobacterium tuberculosis, Mtb) and COVID-19 (caused by SARS-CoV-2) in South African, Swiss and Tanzanian secondary schools. We estimated the risks of infection with the Wells-Riley equation, expressed as the median with 2.5% and 97.5% quantiles (credible interval [CrI]), based on the ventilation rate and the duration of exposure to infectious doses (so-called quanta). We computed the air change rate (ventilation) using carbon dioxide (CO2) as a tracer gas and modeled the quanta generation rate based on reported estimates from the literature. The share of infectious students in the classroom is determined by country-specific estimates of pulmonary TB. For SARS-CoV-2, the number of infectious students was estimated based on excess mortality to mitigate the bias from country-specific reporting and testing. Average CO2 concentration (parts per million [ppm]) was 1,610 ppm in South Africa, 1,757 ppm in Switzerland, and 648 ppm in Tanzania. The annual risk of infection for Mtb was 22.1% (interquartile range [IQR] 2.7%-89.5%) in South Africa, 0.7% (IQR 0.1%-6.4%) in Switzerland, and 0.5% (IQR 0.0%-3.9%) in Tanzania. For SARS-CoV-2, the monthly risk of infection was 6.8% (IQR 0.8%-43.8%) in South Africa, 1.2% (IQR 0.1%-8.8%) in Switzerland, and 0.9% (IQR 0.1%-6.6%) in Tanzania. The differences in transmission risks primarily reflect a higher incidence of SARS-CoV-2 and particularly prevalence of TB in South Africa, but also higher air change rates due to better natural ventilation of the classrooms in Tanzania. Global comparisons of the modeled risk of infectious disease transmission in classrooms can provide high-level information for policy-making regarding appropriate infection control strategies.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Revista: PLOS Glob Public Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Revista: PLOS Glob Public Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça