Comprehensive profiling of social mixing patterns in resource poor countries: a mixed methods research protocol.
Obianuju Genevieve AguoluMoses Chapa KitiKristin NelsonCarol Y LiuMaria E SundaramSergio GramachoSamuel M JennessAlessia MelegaroCharfudin SacoorAzucena BardajiIvalda MacicameAmerico JoseNilzio CaveleFelizarda AmosseMigdalia UambaEdgar JamisseCorssino TchavanaHerberth Giovanni Maldonado BrionesClaudia JarquínMaría AjsivinacLauren PischelNoureen AhmedVenkata Raghava MohanRajan SrinivasanPrasanna SamuelGifta JohnKye EllingtonOrvalho Augusto JoaquimAlana ZelayaSara KimHolin ChenMomin KaziFauzia MalikInci B YildirimBenjamin LopmanSaad B OmerPublished in: medRxiv : the preprint server for health sciences (2023)
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.