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

被引:13
作者
Gabaldon-Figueira, Juan Carlos [1 ]
Brew, Joe [2 ]
Dore, Dominique Helene [3 ]
Umashankar, Nita [4 ]
Chaccour, Juliane [1 ]
Orrillo, Virginia [5 ]
Tsang, Lai Yu [6 ]
Blavia, Isabel [5 ]
Fernandez-Montero, Alejandro [7 ]
Bartolome, Javier [8 ]
Grandjean Lapierre, Simon [3 ,9 ]
Chaccour, C. [1 ,10 ,11 ]
机构
[1] Univ Navarra Clin, Infect Dis Area, Pamplona, Spain
[2] Hyfe, Res & Dev Dept, Wilmington, DE USA
[3] Univ Montreal, Hosp Ctr, Res Ctr, Immunopathol Axis, Montreal, PQ, Canada
[4] San Diego State Univ, Fowler Coll Business, San Diego, CA 92182 USA
[5] Univ Navarra, Sch Pharm & Nutr, Pamplona, Spain
[6] SUNY Stony Brook, Global Hlth Inst, Stony Brook, NY 11794 USA
[7] Univ Navarra Clin, Dept Occupat Med, COVID 19 Area, Pamplona, Spain
[8] Navarre Hlth Serv Osasunbidea, Primary Healthcare, Zizur Mayor, Spain
[9] Univ Montreal, Hosp Ctr, Res Ctr, Dept Microbiol Infect Dis & Immunol, Montreal, PQ, Canada
[10] Univ Barcelona, Hosp Clin, ISGlobal, Barcelona, Spain
[11] Ifakara Inst Hlth, Ifakara, Tanzania
来源
BMJ OPEN | 2021年 / 11卷 / 07期
关键词
COVID-19; respiratory infections; epidemiology;
D O I
10.1136/bmjopen-2021-051278
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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'Universite de Montreal, 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.
引用
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页数:7
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