Comprehensive profiling of social mixing patterns in resource poor countries: A mixed methods research protocol.

Autor: Aguolu OG; Division of Epidemiology, College of Public Heath, The Ohio State University, Columbus, Ohio, United States of America., Kiti MC; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Nelson K; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Liu CY; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Sundaram M; Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States of America., Gramacho S; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Jenness S; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Melegaro A; DONDENA Centre for Research in Social Dynamics and Public Policy, Bocconi University, Milan, Italy., Sacoor C; Manhiça Health Research Centre, Manhica, Mozambique., Bardaji A; Manhiça Health Research Centre, Manhica, Mozambique.; ISGlobal, Hospital Clinic-Universitat de Barcelona, Barcelona, Spain.; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain., Macicame I; Polana Caniço Health Research and Training Centre, CISPOC, Maputo, Mozambique., Jose A; Polana Caniço Health Research and Training Centre, CISPOC, Maputo, Mozambique., Cavele N; Polana Caniço Health Research and Training Centre, CISPOC, Maputo, Mozambique., Amosse F; Manhiça Health Research Centre, Manhica, Mozambique., Uamba M; Polana Caniço Health Research and Training Centre, CISPOC, Maputo, Mozambique., Jamisse E; Manhiça Health Research Centre, Manhica, Mozambique., Tchavana C; Manhiça Health Research Centre, Manhica, Mozambique., Giovanni Maldonado Briones H; Centro de Estudios en Salud (CES), Universidad del Valle de Guatemala, Guatemala City, Guatemala., Jarquín C; Centro de Estudios en Salud (CES), Universidad del Valle de Guatemala, Guatemala City, Guatemala., Ajsivinac M; Centro de Estudios en Salud (CES), Universidad del Valle de Guatemala, Guatemala City, Guatemala., Pischel L; Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America., Ahmed N; Peter O'Donnell Jr. School of Public Health at UT Southwestern Medical Center, Dallas, Texas, United States of America., Mohan VR; Christian Medical College Vellore, Vellore, India., Srinivasan R; Christian Medical College Vellore, Vellore, India., Samuel P; Christian Medical College Vellore, Vellore, India., John G; Christian Medical College Vellore, Vellore, India., Ellington K; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Augusto Joaquim O; Manhiça Health Research Centre, Manhica, Mozambique., Zelaya A; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Kim S; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Chen H; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Kazi M; The Aga Khan University, Karachi, Pakistán., Malik F; Peter O'Donnell Jr. School of Public Health at UT Southwestern Medical Center, Dallas, Texas, United States of America., Yildirim I; Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America., Lopman B; Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America., Omer SB; Peter O'Donnell Jr. School of Public Health at UT Southwestern Medical Center, Dallas, Texas, United States of America.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Jun 24; Vol. 19 (6), pp. e0301638. Date of Electronic Publication: 2024 Jun 24 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0301638
Abstrakt: Background: Low-and-middle-income countries (LMICs) bear a disproportionate burden of communicable diseases. Social interaction data inform infectious disease models and disease prevention strategies. The variations in demographics and contact patterns across ages, cultures, and locations significantly impact infectious disease dynamics and pathogen transmission. LMICs lack sufficient social interaction data for infectious disease modeling.
Methods: To address this gap, we will collect qualitative and quantitative data from eight study sites (encompassing both rural and urban settings) across Guatemala, India, Pakistan, and Mozambique. We will conduct focus group discussions and cognitive interviews to assess the feasibility and acceptability of our data collection tools at each site. Thematic and rapid analyses will help to identify key themes and categories through coding, guiding the design of quantitative data collection tools (enrollment survey, contact diaries, exit survey, and wearable proximity sensors) and the implementation of study procedures. We will create three age-specific contact matrices (physical, nonphysical, and both) at each study site using data from standardized contact diaries to characterize the patterns of social mixing. Regression analysis will be conducted to identify key drivers of contacts. We will comprehensively profile the frequency, duration, and intensity of infants' interactions with household members using high resolution data from the proximity sensors and calculating infants' proximity score (fraction of time spent by each household member in proximity with the infant, over the total infant contact time) for each household member.
Discussion: Our qualitative data yielded insights into the perceptions and acceptability of contact diaries and wearable proximity sensors for collecting social mixing data in LMICs. The quantitative data will allow a more accurate representation of human interactions that lead to the transmission of pathogens through close contact in LMICs. Our findings will provide more appropriate social mixing data for parameterizing mathematical models of LMIC populations. Our study tools could be adapted for other studies.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Aguolu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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