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Using Respondent Driven Sampling to Identify Malaria Risks and Occupational Networks among Migrant Workers in Ranong, Thailand
BACKGROUND: Ranong Province in southern Thailand is one of the primary entry points for migrants entering Thailand from Myanmar, and borders Kawthaung Township in Myanmar where artemisinin resistance in malaria parasites has been detected. Areas of high population movement could increase the risk of...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5199010/ https://www.ncbi.nlm.nih.gov/pubmed/28033322 http://dx.doi.org/10.1371/journal.pone.0168371 |
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author | Wangroongsarb, Piyaporn Hwang, Jimee Thwing, Julie Karuchit, Samart Kumpetch, Suthon Rand, Alison Drakeley, Chris MacArthur, John R. Kachur, S. Patrick Satimai, Wichai Meek, Sylvia Sintasath, David M. |
author_facet | Wangroongsarb, Piyaporn Hwang, Jimee Thwing, Julie Karuchit, Samart Kumpetch, Suthon Rand, Alison Drakeley, Chris MacArthur, John R. Kachur, S. Patrick Satimai, Wichai Meek, Sylvia Sintasath, David M. |
author_sort | Wangroongsarb, Piyaporn |
collection | PubMed |
description | BACKGROUND: Ranong Province in southern Thailand is one of the primary entry points for migrants entering Thailand from Myanmar, and borders Kawthaung Township in Myanmar where artemisinin resistance in malaria parasites has been detected. Areas of high population movement could increase the risk of spread of artemisinin resistance in this region and beyond. METHODS: A respondent-driven sampling (RDS) methodology was used to compare migrant populations coming from Myanmar in urban (Site 1) vs. rural (Site 2) settings in Ranong, Thailand. The RDS methodology collected information on knowledge, attitudes, and practices for malaria, travel and occupational histories, as well as social network size and structure. Individuals enrolled were screened for malaria by microscopy, Real Time-PCR, and serology. RESULTS: A total of 619 participants were recruited in Ranong City and 623 participants in Kraburi, a rural sub-district. By PCR, a total of 14 (1.1%) samples were positive (2 P. falciparum in Site 1; 10 P. vivax, 1 Pf, and 1 P. malariae in Site 2). PCR analysis demonstrated an overall weighted prevalence of 0.5% (95% CI, 0–1.3%) in the urban site and 1.0% (95% CI, 0.5–1.7%) in the rural site for all parasite species. PCR positivity did not correlate with serological positivity; however, as expected there was a strong association between antibody prevalence and both age and exposure. Access to long-lasting insecticidal treated nets remains low despite relatively high reported traditional net use among these populations. CONCLUSIONS: The low malaria prevalence, relatively smaller networks among migrants in rural settings, and limited frequency of travel to and from other areas of malaria transmission in Myanmar, suggest that the risk for the spread of artemisinin resistance from this area may be limited in these networks currently but may have implications for regional malaria elimination efforts. |
format | Online Article Text |
id | pubmed-5199010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51990102017-01-19 Using Respondent Driven Sampling to Identify Malaria Risks and Occupational Networks among Migrant Workers in Ranong, Thailand Wangroongsarb, Piyaporn Hwang, Jimee Thwing, Julie Karuchit, Samart Kumpetch, Suthon Rand, Alison Drakeley, Chris MacArthur, John R. Kachur, S. Patrick Satimai, Wichai Meek, Sylvia Sintasath, David M. PLoS One Research Article BACKGROUND: Ranong Province in southern Thailand is one of the primary entry points for migrants entering Thailand from Myanmar, and borders Kawthaung Township in Myanmar where artemisinin resistance in malaria parasites has been detected. Areas of high population movement could increase the risk of spread of artemisinin resistance in this region and beyond. METHODS: A respondent-driven sampling (RDS) methodology was used to compare migrant populations coming from Myanmar in urban (Site 1) vs. rural (Site 2) settings in Ranong, Thailand. The RDS methodology collected information on knowledge, attitudes, and practices for malaria, travel and occupational histories, as well as social network size and structure. Individuals enrolled were screened for malaria by microscopy, Real Time-PCR, and serology. RESULTS: A total of 619 participants were recruited in Ranong City and 623 participants in Kraburi, a rural sub-district. By PCR, a total of 14 (1.1%) samples were positive (2 P. falciparum in Site 1; 10 P. vivax, 1 Pf, and 1 P. malariae in Site 2). PCR analysis demonstrated an overall weighted prevalence of 0.5% (95% CI, 0–1.3%) in the urban site and 1.0% (95% CI, 0.5–1.7%) in the rural site for all parasite species. PCR positivity did not correlate with serological positivity; however, as expected there was a strong association between antibody prevalence and both age and exposure. Access to long-lasting insecticidal treated nets remains low despite relatively high reported traditional net use among these populations. CONCLUSIONS: The low malaria prevalence, relatively smaller networks among migrants in rural settings, and limited frequency of travel to and from other areas of malaria transmission in Myanmar, suggest that the risk for the spread of artemisinin resistance from this area may be limited in these networks currently but may have implications for regional malaria elimination efforts. Public Library of Science 2016-12-29 /pmc/articles/PMC5199010/ /pubmed/28033322 http://dx.doi.org/10.1371/journal.pone.0168371 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Wangroongsarb, Piyaporn Hwang, Jimee Thwing, Julie Karuchit, Samart Kumpetch, Suthon Rand, Alison Drakeley, Chris MacArthur, John R. Kachur, S. Patrick Satimai, Wichai Meek, Sylvia Sintasath, David M. Using Respondent Driven Sampling to Identify Malaria Risks and Occupational Networks among Migrant Workers in Ranong, Thailand |
title | Using Respondent Driven Sampling to Identify Malaria Risks and Occupational Networks among Migrant Workers in Ranong, Thailand |
title_full | Using Respondent Driven Sampling to Identify Malaria Risks and Occupational Networks among Migrant Workers in Ranong, Thailand |
title_fullStr | Using Respondent Driven Sampling to Identify Malaria Risks and Occupational Networks among Migrant Workers in Ranong, Thailand |
title_full_unstemmed | Using Respondent Driven Sampling to Identify Malaria Risks and Occupational Networks among Migrant Workers in Ranong, Thailand |
title_short | Using Respondent Driven Sampling to Identify Malaria Risks and Occupational Networks among Migrant Workers in Ranong, Thailand |
title_sort | using respondent driven sampling to identify malaria risks and occupational networks among migrant workers in ranong, thailand |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5199010/ https://www.ncbi.nlm.nih.gov/pubmed/28033322 http://dx.doi.org/10.1371/journal.pone.0168371 |
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