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Performance of five dynamic models in predicting tuberculosis incidence in three prisons in Thailand

Performance of five dynamic models in predicting tuberculosis incidence in three prisons in Thailand

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3159629506

Performance of five dynamic models in predicting tuberculosis incidence in three prisons in Thailand

About this item

Full title

Performance of five dynamic models in predicting tuberculosis incidence in three prisons in Thailand

Publisher

United States: Public Library of Science

Journal title

PloS one, 2025-01, Vol.20 (1), p.e0318089

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

This study examined the ability of the following five dynamic models for predicting pulmonary tuberculosis (PTB) incidence in a prison setting: the Wells–Riley equation, two Rudnick & Milton-proposed models based on air changes per hour and liters per second per person, the Issarow et al. model, and the applied susceptible-exposed-infected-recovere...

Alternative Titles

Full title

Performance of five dynamic models in predicting tuberculosis incidence in three prisons in Thailand

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3159629506

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3159629506

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0318089

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