Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study.

Autor:	Gabaldon-Figueira JC; Infectious Diseases Area, University of Navarra Clinic, Pamplona, Spain jgabaldonfi@unav.es., Brew J; Research and Development Department, Hyfe, Wilmington, Delaware, USA., Doré DH; Immunopathology Axis, Research Center of the University of Montreal Hospital Center, Montréal, Québec, Canada., Umashankar N; Fowler College of Business, San Diego State University, San Diego, California, USA., Chaccour J; Infectious Diseases Area, University of Navarra Clinic, Pamplona, Spain., Orrillo V; School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain., Tsang LY; Global Health Institute, Stony Brook University, Stony Brook, New York, USA., Blavia I; School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain., Fernández-Montero A; Department of Occupational Medicine - COVID-19 area, University of Navarra Clinic, Pamplona, Spain., Bartolomé J; Primary Healthcare, Navarre Health Service-Osasunbidea, Zizur Mayor, Spain., Grandjean Lapierre S; Immunopathology Axis, Research Center of the University of Montreal Hospital Center, Montréal, Québec, Canada.; Department of Microbiology, Infectious Diseases and Immunology, Research Center of the University of Montreal Hospital Center, Montreal, Québec, Canada., Chaccour C; Infectious Diseases Area, University of Navarra Clinic, Pamplona, Spain.; ISGlobal, Hospital Clinic, University of Barcelona, Barcelona, Spain.; Ifakara Institute of Health, Ifakara Institute of Health, Ifakara, Tanzania.
Jazyk:	angličtina
Zdroj:	BMJ open [BMJ Open] 2021 Jul 02; Vol. 11 (7), pp. e051278. Date of Electronic Publication: 2021 Jul 02.
DOI:	10.1136/bmjopen-2021-051278
Abstrakt:	Introduction: Cough is a common symptom of COVID-19 and other respiratory illnesses. However, objectively measuring its frequency and evolution is hindered by the lack of reliable and scalable monitoring systems. This can be overcome by newly developed artificial intelligence models that exploit the portability of smartphones. In the context of the ongoing COVID-19 pandemic, cough detection for respiratory disease syndromic surveillance represents a simple means for early outbreak detection and disease surveillance. In this protocol, we evaluate the ability of population-based digital cough surveillance to predict the incidence of respiratory diseases at population level in Navarra, Spain, while assessing individual determinants of uptake of these platforms. Methods and Analysis: Participants in the Cendea de Cizur, Zizur Mayor or attending the local University of Navarra (Pamplona) will be invited to monitor their night-time cough using the smartphone app Hyfe Cough Tracker. Detected coughs will be aggregated in time and space. Incidence of COVID-19 and other diagnosed respiratory diseases within the participants cohort, and the study area and population will be collected from local health facilities and used to carry out an autoregressive moving average analysis on those independent time series. In a mixed-methods design, we will explore barriers and facilitators of continuous digital cough monitoring by evaluating participation patterns and sociodemographic characteristics. Participants will fill an acceptability questionnaire and a subgroup will participate in focus group discussions. Ethics and Dissemination: Ethics approval was obtained from the ethics committee of the Centre Hospitalier de l'Université de Montréal, Canada and the Medical Research Ethics Committee of Navarre, Spain. Preliminary findings will be shared with civil and health authorities and reported to individual participants. Results will be submitted for publication in peer-reviewed scientific journals and international conferences. Trial Registration Number: NCT04762693. Competing Interests: Competing interests: JB is the CEO of Hyfe. (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Databáze:	MEDLINE
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