Airborne transmission risks of tuberculosis and COVID-19 in schools in South Africa, Switzerland, and Tanzania: Modeling of environmental data.
Nicolas BanholzerRemo SchmutzKeren MiddelkoopJerry HellaMatthias EggerRobin WoodLukas FennerPublished in: PLOS global public health (2024)
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.
Keyphrases
- sars cov
- south africa
- mycobacterium tuberculosis
- hiv positive
- pulmonary tuberculosis
- respiratory syndrome coronavirus
- human health
- carbon dioxide
- risk factors
- particulate matter
- systematic review
- public health
- emergency department
- coronavirus disease
- respiratory failure
- healthcare
- mechanical ventilation
- pulmonary hypertension
- infectious diseases
- air pollution
- mental health
- magnetic resonance imaging
- coronary artery disease
- type diabetes
- men who have sex with men
- human immunodeficiency virus
- intensive care unit
- computed tomography
- cardiovascular disease
- deep learning
- pet ct
- artificial intelligence
- drinking water
- acute respiratory distress syndrome
- social media
- drug induced