Cargando…

Designing malaria surveillance strategies for mobile and migrant populations in Nepal: a mixed-methods study

BACKGROUND: As malaria cases have declined throughout Nepal, imported cases comprise an increasing share of the remaining malaria caseload, yet how to effectively target mobile and migrant populations (MMPs) at greatest risk is not well understood. This formative research aimed to confirm the link b...

Descripción completa

Detalles Bibliográficos
Autores principales: Smith, Jennifer L., Ghimire, Prakash, Rijal, Komal Raj, Maglior, Alysse, Hollis, Sara, Andrade-Pacheco, Ricardo, Das Thakur, Garib, Adhikari, Nabaraj, Thapa Shrestha, Upendra, Banjara, Megha Raj, Lal, Bibek Kumar, Jacobson, Jerry O., Bennett, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500027/
https://www.ncbi.nlm.nih.gov/pubmed/31053075
http://dx.doi.org/10.1186/s12936-019-2791-1
_version_ 1783415874956296192
author Smith, Jennifer L.
Ghimire, Prakash
Rijal, Komal Raj
Maglior, Alysse
Hollis, Sara
Andrade-Pacheco, Ricardo
Das Thakur, Garib
Adhikari, Nabaraj
Thapa Shrestha, Upendra
Banjara, Megha Raj
Lal, Bibek Kumar
Jacobson, Jerry O.
Bennett, Adam
author_facet Smith, Jennifer L.
Ghimire, Prakash
Rijal, Komal Raj
Maglior, Alysse
Hollis, Sara
Andrade-Pacheco, Ricardo
Das Thakur, Garib
Adhikari, Nabaraj
Thapa Shrestha, Upendra
Banjara, Megha Raj
Lal, Bibek Kumar
Jacobson, Jerry O.
Bennett, Adam
author_sort Smith, Jennifer L.
collection PubMed
description BACKGROUND: As malaria cases have declined throughout Nepal, imported cases comprise an increasing share of the remaining malaria caseload, yet how to effectively target mobile and migrant populations (MMPs) at greatest risk is not well understood. This formative research aimed to confirm the link between imported and indigenous cases, characterize high-risk MMPs, and identify opportunities to adapt surveillance and intervention strategies to them. METHODS: The study used a mixed-methods approach in three districts in far and mid-western Nepal, including (i) a retrospective analysis of passive surveillance data, (ii) a quantitative health facility-based survey of imported cases and their MMP social contacts recruited by peer-referral, and (iii) focus group (FG) discussions and key informant interviews (KIIs) with a subset of survey participants. Retrospective case data were summarised and the association between monthly indigenous case counts and importation rates in the previous month was investigated using Bayesian spatio-temporal regression models. Quantitative data from structured interviews were summarised to develop profiles of imported cases and MMP contacts, including travel characteristics and malaria knowledge, attitudes and practice. Descriptive statistics of the size of cases’ MMP social networks are presented as a measure of potential programme reach. To explore opportunities and barriers for targeted malaria surveillance, data from FGs and KIIs were formally analysed using a thematic content analysis approach. RESULTS: More than half (54.1%) of malaria cases between 2013 and 2016 were classified as imported and there was a positive association between monthly indigenous cases (incidence rate ratio (IRR) 1.02 95% CI 1.01–1.03) and the previous month’s case importation rate. High-risk MMPs were identified as predominantly adult male labourers, who travel to malaria endemic areas of India, often lack a basic understanding of malaria transmission and prevention, rarely use ITNs while travelling and tend not to seek treatment when ill or prefer informal private providers. Important obstacles were identified to accessing Nepali MMPs at border crossings and at workplaces within India. However, strong social connectivity during travel and while in India, as well as return to Nepal for large seasonal festivals, provide opportunities for peer-referral-based and venue-based surveillance and intervention approaches, respectively. CONCLUSIONS: Population mobility and imported malaria cases from India may help to drive local transmission in border areas of far and mid-western Nepal. Enhanced surveillance targeting high-risk MMP subgroups would improve early malaria diagnosis and treatment, as well as provide a platform for education and intervention campaigns. A combination of community-based approaches is likely necessary to achieve malaria elimination in Nepal. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2791-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6500027
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-65000272019-05-09 Designing malaria surveillance strategies for mobile and migrant populations in Nepal: a mixed-methods study Smith, Jennifer L. Ghimire, Prakash Rijal, Komal Raj Maglior, Alysse Hollis, Sara Andrade-Pacheco, Ricardo Das Thakur, Garib Adhikari, Nabaraj Thapa Shrestha, Upendra Banjara, Megha Raj Lal, Bibek Kumar Jacobson, Jerry O. Bennett, Adam Malar J Research BACKGROUND: As malaria cases have declined throughout Nepal, imported cases comprise an increasing share of the remaining malaria caseload, yet how to effectively target mobile and migrant populations (MMPs) at greatest risk is not well understood. This formative research aimed to confirm the link between imported and indigenous cases, characterize high-risk MMPs, and identify opportunities to adapt surveillance and intervention strategies to them. METHODS: The study used a mixed-methods approach in three districts in far and mid-western Nepal, including (i) a retrospective analysis of passive surveillance data, (ii) a quantitative health facility-based survey of imported cases and their MMP social contacts recruited by peer-referral, and (iii) focus group (FG) discussions and key informant interviews (KIIs) with a subset of survey participants. Retrospective case data were summarised and the association between monthly indigenous case counts and importation rates in the previous month was investigated using Bayesian spatio-temporal regression models. Quantitative data from structured interviews were summarised to develop profiles of imported cases and MMP contacts, including travel characteristics and malaria knowledge, attitudes and practice. Descriptive statistics of the size of cases’ MMP social networks are presented as a measure of potential programme reach. To explore opportunities and barriers for targeted malaria surveillance, data from FGs and KIIs were formally analysed using a thematic content analysis approach. RESULTS: More than half (54.1%) of malaria cases between 2013 and 2016 were classified as imported and there was a positive association between monthly indigenous cases (incidence rate ratio (IRR) 1.02 95% CI 1.01–1.03) and the previous month’s case importation rate. High-risk MMPs were identified as predominantly adult male labourers, who travel to malaria endemic areas of India, often lack a basic understanding of malaria transmission and prevention, rarely use ITNs while travelling and tend not to seek treatment when ill or prefer informal private providers. Important obstacles were identified to accessing Nepali MMPs at border crossings and at workplaces within India. However, strong social connectivity during travel and while in India, as well as return to Nepal for large seasonal festivals, provide opportunities for peer-referral-based and venue-based surveillance and intervention approaches, respectively. CONCLUSIONS: Population mobility and imported malaria cases from India may help to drive local transmission in border areas of far and mid-western Nepal. Enhanced surveillance targeting high-risk MMP subgroups would improve early malaria diagnosis and treatment, as well as provide a platform for education and intervention campaigns. A combination of community-based approaches is likely necessary to achieve malaria elimination in Nepal. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2791-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-03 /pmc/articles/PMC6500027/ /pubmed/31053075 http://dx.doi.org/10.1186/s12936-019-2791-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Smith, Jennifer L.
Ghimire, Prakash
Rijal, Komal Raj
Maglior, Alysse
Hollis, Sara
Andrade-Pacheco, Ricardo
Das Thakur, Garib
Adhikari, Nabaraj
Thapa Shrestha, Upendra
Banjara, Megha Raj
Lal, Bibek Kumar
Jacobson, Jerry O.
Bennett, Adam
Designing malaria surveillance strategies for mobile and migrant populations in Nepal: a mixed-methods study
title Designing malaria surveillance strategies for mobile and migrant populations in Nepal: a mixed-methods study
title_full Designing malaria surveillance strategies for mobile and migrant populations in Nepal: a mixed-methods study
title_fullStr Designing malaria surveillance strategies for mobile and migrant populations in Nepal: a mixed-methods study
title_full_unstemmed Designing malaria surveillance strategies for mobile and migrant populations in Nepal: a mixed-methods study
title_short Designing malaria surveillance strategies for mobile and migrant populations in Nepal: a mixed-methods study
title_sort designing malaria surveillance strategies for mobile and migrant populations in nepal: a mixed-methods study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500027/
https://www.ncbi.nlm.nih.gov/pubmed/31053075
http://dx.doi.org/10.1186/s12936-019-2791-1
work_keys_str_mv AT smithjenniferl designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT ghimireprakash designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT rijalkomalraj designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT maglioralysse designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT hollissara designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT andradepachecoricardo designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT dasthakurgarib designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT adhikarinabaraj designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT thapashresthaupendra designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT banjaramegharaj designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT lalbibekkumar designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT jacobsonjerryo designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy
AT bennettadam designingmalariasurveillancestrategiesformobileandmigrantpopulationsinnepalamixedmethodsstudy