TY - JOUR
T1 - Study protocol
T2 - improving response to malaria in the Amazon through identification of inter-community networks and human mobility in border regions of Ecuador, Peru and Brazil
AU - Janko, Mark M.
AU - Araujo, Andrea L.
AU - Ascencio, Edson J.
AU - Guedes, Gilvan R.
AU - Vasco, Luis E.
AU - Santos, Reinaldo O.
AU - Damasceno, Camila P.
AU - Medrano, Perla G.
AU - Chacón-Uscamaita, Pamela R.
AU - Gunderson, Annika K.
AU - O’Malley, Sara
AU - Kansara, Prakrut H.
AU - Narvaez, Manuel B.
AU - Coombes, Carolina
AU - Pizzitutti, Francesco
AU - Salmon-Mulanovich, Gabriela
AU - Zaitchik, Benjamin F.
AU - Mena, Carlos F.
AU - Lescano, Andres G.
AU - Barbieri, Alisson F.
AU - Pan, William K.
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2024.
PY - 2024/4/15
Y1 - 2024/4/15
N2 - Introduction Understanding human mobility’s role in malaria transmission is critical to successful control and elimination. However, common approaches to measuring mobility are ill-equipped for remote regions such as the Amazon. This study develops a network survey to quantify the effect of community connectivity and mobility on malaria transmission. Methods We measure community connectivity across the study area using a respondent driven sampling design among key informants who are at least 18 years of age. 45 initial communities will be selected: 10 in Brazil, 10 in Ecuador and 25 in Peru. Participants will be recruited in each initial node and administered a survey to obtain data on each community’s mobility patterns. Survey responses will be ranked and the 2–3 most connected communities will then be selected and surveyed. This process will be repeated for a third round of data collection. Community network matrices will be linked with each country’s malaria surveillance system to test the effects of mobility on disease risk. Ethics and dissemination This study protocol has been approved by the institutional review boards of Duke University (USA), Universidad San Francisco de Quito (Ecuador), Universidad Peruana Cayetano Heredia (Peru) and Universidade Federal Minas Gerais (Brazil). Results will be disseminated in communities by the end of the study.
AB - Introduction Understanding human mobility’s role in malaria transmission is critical to successful control and elimination. However, common approaches to measuring mobility are ill-equipped for remote regions such as the Amazon. This study develops a network survey to quantify the effect of community connectivity and mobility on malaria transmission. Methods We measure community connectivity across the study area using a respondent driven sampling design among key informants who are at least 18 years of age. 45 initial communities will be selected: 10 in Brazil, 10 in Ecuador and 25 in Peru. Participants will be recruited in each initial node and administered a survey to obtain data on each community’s mobility patterns. Survey responses will be ranked and the 2–3 most connected communities will then be selected and surveyed. This process will be repeated for a third round of data collection. Community network matrices will be linked with each country’s malaria surveillance system to test the effects of mobility on disease risk. Ethics and dissemination This study protocol has been approved by the institutional review boards of Duke University (USA), Universidad San Francisco de Quito (Ecuador), Universidad Peruana Cayetano Heredia (Peru) and Universidade Federal Minas Gerais (Brazil). Results will be disseminated in communities by the end of the study.
UR - http://www.scopus.com/inward/record.url?scp=85190904052&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2023-078911
DO - 10.1136/bmjopen-2023-078911
M3 - Article
C2 - 38626977
AN - SCOPUS:85190904052
SN - 2044-6055
VL - 14
JO - BMJ Open
JF - BMJ Open
IS - 4
M1 - e078911
ER -