• Title Artificial intelligence-based analysis of cough for COVID-19 screening in Montreal, Canada
  • Granting Agency CIHR (Canadian Institutes of Health Sciences)
  • Period 1 December 2021 – 31 March 2025
  • Amount $449,926 CAD

This project will use artificial intelligence to build a model to differentiate COVID-19 cough sounds from other sounds recorded on a person’s smartphone to help screen for COVID-19, in Montreal, Canada and Lima, Peru.

Publications

Zimmer, Alexandra J; Ravi, Vijay; Espinoza-Lopez, Patricia; Kafentzis, George P; Ravanelli, Mirco; Rahimi, Samira Abbasgholizadeh; Pai, Madhukar; Ugarte-Gil, César; Lapierre, Simon Grandjean

Cough acoustic analysis using artificial intelligence for COVID-19 detection: a comparative study of patient cohorts from Lima, Peru and Montreal, Canada (Journal Article)

In: Annals of Epidemiology, vol. 118, pp. 110076, 2026.

(Links)

Zimmer, Alexandra J; Das, Rishav; Lopez, Patricia Espinoza; Nafade, Vaidehi; Gore, Genevieve; Ugarte-Gil, César; Chung, Kian Fan; Song, Woo-Jung; Pai, Madhukar; Lapierre, Simon Grandjean

Objective cough counting in clinical practice and public health: a scoping review (Journal Article)

In: The Lancet Digital Health, vol. 7, iss. 11, pp. 100908, 2025.

(Links)

Zimmer, Alexandra J; Ugarte-Gil, César; Pathri, Rahul; Dewan, Puneet; Jaganath, Devan; Cattamanchi, Adithya; Pai, Madhukar; Lapierre, Simon Grandjean

Making cough count in tuberculosis care (Journal Article)

In: Communications Medicine, vol. 2, no. 1, pp. 1–8, 2022.

(Links)

Zimmer, Alexandra Jaye; Klinton, Joel Shyam; Oga-Omenka, Charity; Heitkamp, Petra; Nyirenda, Carol Nawina; Furin, Jennifer; Pai, Madhukar

Tuberculosis in times of COVID-19 (Journal Article)

In: Journal of Epidemiology & Community Health, 2021.

(Links)