Your browser doesn't support javascript.
loading
Modeling the impact of COVID-19 on future tuberculosis burden.
Tovar, Mario; Aleta, Alberto; Sanz, Joaquín; Moreno, Yamir.
Afiliación
  • Tovar M; Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50009 Zaragoza, Spain.
  • Aleta A; Department of Theoretical Physics, University of Zaragoza, 50009 Zaragoza, Spain.
  • Sanz J; ISI Foundation, Via Chisola 5, 10126 Torino, Italy.
  • Moreno Y; Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50009 Zaragoza, Spain.
Commun Med (Lond) ; 2: 77, 2022.
Article en En | MEDLINE | ID: mdl-35784445
RESUMEN
The COVID-19 pandemic has disrupted everyday life and put public health services and healthcare systems worldwide under stress. This has compromised the ability to control other diseases such as Malaria, Cancer and Tuberculosis. In this work we predict the rise in Tuberculosis occurrence and mortality when healthcare systems are impacted and diagnosis capabilities blocked in 4 countries where TB is prevalent. Our calculations show that an increase in new TB cases due to the COVID-19 pandemic could result in almost 400,000 additional deaths from TB in India, Indonesia, Pakistan and Kenya. We also show that increased diagnosis capabilities after the pandemic could reduce the additional deaths from TB resulting from the COVID-19 pandemic impact.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Commun Med (Lond) Año: 2022 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Commun Med (Lond) Año: 2022 Tipo del documento: Article País de afiliación: España