{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T02:40:49Z","timestamp":1783996849826,"version":"3.55.0"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T00:00:00Z","timestamp":1777420800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T00:00:00Z","timestamp":1781568000000},"content-version":"vor","delay-in-days":48,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Malar J"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Migrant populations from malaria-endemic countries pose challenges to elimination efforts in low-transmission settings. This study assessed\n                      <jats:italic>Plasmodium vivax<\/jats:italic>\n                      -specific antibody responses and associated sociodemographic and behavioral determinants among short-term Myanmar migrants in Thailand.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A cross-sectional survey was conducted in March\u2013April 2025 among 300 short-term Myanmar migrants in six malaria high-burden villages of Tha Song Yang District, Tak Province. Sociodemographic and behavioral data were collected via structured questionnaires. Finger-prick dried blood spots were collected to quantify IgG responses to eight\n                      <jats:italic>P. vivax<\/jats:italic>\n                      antigens using a multiplexed Luminex assay. Predicted recent exposure was defined using a previously developed and validated random forest classification algorithm, applying a 95% specificity threshold. Logistic regression models were used to identify factors associated with predicted recent exposure, while linear regression models examined associations with a composite antibody score representing overall seroreactivity across multiple antigens.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among 294 PCR-negative participants, 104 (35.4%) were predicted as recently exposed. In multivariable logistic models, higher odds of predicted recent exposure were observed for age 30\u201339\u00a0years (aOR\u2009=\u20093.11, 95% CI 1.15\u20138.80), secondary education or above (aOR\u2009=\u20093.28, 95% CI 1.09\u201310.3), and Karen ethnicity (aOR\u2009=\u20093.68, 95% CI 1.42\u201310.0). Protective factors included seasonal (aOR\u2009=\u20090.28, 95% CI 0.08\u20130.95) and temporary work (aOR\u2009=\u20090.26, 95% CI 0.08\u20130.84), and income\u2009&gt;\u20095,000 THB (aOR\u2009=\u20090.17, 95% CI 0.06\u20130.45). Exposure was also higher among those living\u2009&gt;\u200915\u00a0min from a health facility (aOR\u2009=\u20092.07, 95% CI 1.00\u20134.43) and with negative malaria attitudes (aOR\u2009=\u20092.02, 95% CI 1.04\u20134.03). Higher composite antibody levels were observed among males (\u03b2\u2009=\u20091.17, 95% CI 0.07\u20132.28,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.038), older participants (\u03b2\u2009=\u20090.12\/year, 95% CI 0.08\u20130.17,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), and agricultural workers (\u03b2\u2009=\u20092.58, 95% CI 0.01\u20135.14,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.049). In contrast, higher income (\u03b2\u2009=\u2009\u2212\u20093.83 per 10,000 THB, 95% CI\u2009\u2212\u20096.28 to\u2009\u2212\u20091.37,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.002), longer stay (\u03b2\u2009=\u2009\u2009\u2212\u20090.02\/day, 95% CI\u2009\u2212\u20090.04 to\u2009\u2212\u20090.00,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.025), and weekly returns to Myanmar (\u03b2\u2009=\u2009\u2212\u20092.44, 95% CI\u2009\u2212\u20094.14 to\u2009\u2212\u20090.74,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.005) were associated with lower antibody levels.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Among PCR-negative short-term migrants, one-third showed evidence of predicted recent\n                      <jats:italic>P. vivax<\/jats:italic>\n                      exposure. Antibody levels varied by demographic, occupational, and mobility-related factors, supporting the use of sero-surveillance to inform border elimination strategies.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12936-026-05921-0","type":"journal-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T17:06:02Z","timestamp":1777482362000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Sociodemographic and behavioral determinants of Plasmodium vivax-specific antibody responses among short-term Myanmar migrants in Thailand"],"prefix":"10.1186","volume":"25","author":[{"given":"Piyarat","family":"Sripoorote","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nichakan","family":"Inthitanon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yupaporn","family":"Wattanagoon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pailene S.","family":"Lim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liwang","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jetsumon","family":"Sattabongkot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel M.","family":"Parker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wang","family":"Nguitragool","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sadudee","family":"Chotirat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rhea J.","family":"Longley","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pyae Linn","family":"Aung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,4,29]]},"reference":[{"key":"5921_CR1","volume-title":"World Malaria Report 2024","author":"WHO","year":"2024","unstructured":"WHO. 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