Airborne transmission risks of tuberculosis and COVID-19 in schools in South Africa, Switzerland, and Tanzania: Modeling of environmental data.


Journal

PLOS global public health
ISSN: 2767-3375
Titre abrégé: PLOS Glob Public Health
Pays: United States
ID NLM: 9918283779606676

Informations de publication

Date de publication:
2024
Historique:
received: 07 06 2023
accepted: 18 12 2023
medline: 18 1 2024
pubmed: 18 1 2024
entrez: 18 1 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38236801
doi: 10.1371/journal.pgph.0002800
pii: PGPH-D-23-01092
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0002800

Informations de copyright

Copyright: © 2024 Banholzer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Nicolas Banholzer (N)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

Remo Schmutz (R)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

Keren Middelkoop (K)

Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Desmond Tutu Health Centre, Department of Medicine, University of Cape Town, Cape Town, South Africa.

Jerry Hella (J)

Ifakara Health Institute, Dar-es-Salaam, Tanzania.

Matthias Egger (M)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Robin Wood (R)

Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Desmond Tutu Health Centre, Department of Medicine, University of Cape Town, Cape Town, South Africa.

Lukas Fenner (L)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

Classifications MeSH