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Anopheles bionomics in a malaria endemic area of southern Thailand

BACKGROUND: Ivermectin mass drug administration (MDA) could accelerate malaria elimination in the Greater Mekong Subregion. This study was performed to characterize the bionomics of Anopheles in Surat Thani province, Thailand. METHODS: Mosquitoes were collected via human landing collections between...

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Autores principales: Wamaket, Narenrit, Khamprapa, Oranicha, Chainarin, Sittinont, Thamsawet, Panisa, Ninsaeng, Ubolrat, Thongsalee, Suttipong, Suwan, Veerast, Sakolvaree, Jira, Takhampunya, Ratree, Davidson, Silas A., McCardle, Patrick W., Sa-angchai, Patiwat, Mukaka, Mavuto, Kiattibutr, Kirakorn, Khamsiriwatchara, Amnat, Nguitragool, Wang, Sattabongkot, Jetsumon, Sirichaisinthop, Jeeraphat, Kobylinski, Kevin C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317318/
https://www.ncbi.nlm.nih.gov/pubmed/34315509
http://dx.doi.org/10.1186/s13071-021-04870-8
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author Wamaket, Narenrit
Khamprapa, Oranicha
Chainarin, Sittinont
Thamsawet, Panisa
Ninsaeng, Ubolrat
Thongsalee, Suttipong
Suwan, Veerast
Sakolvaree, Jira
Takhampunya, Ratree
Davidson, Silas A.
McCardle, Patrick W.
Sa-angchai, Patiwat
Mukaka, Mavuto
Kiattibutr, Kirakorn
Khamsiriwatchara, Amnat
Nguitragool, Wang
Sattabongkot, Jetsumon
Sirichaisinthop, Jeeraphat
Kobylinski, Kevin C.
author_facet Wamaket, Narenrit
Khamprapa, Oranicha
Chainarin, Sittinont
Thamsawet, Panisa
Ninsaeng, Ubolrat
Thongsalee, Suttipong
Suwan, Veerast
Sakolvaree, Jira
Takhampunya, Ratree
Davidson, Silas A.
McCardle, Patrick W.
Sa-angchai, Patiwat
Mukaka, Mavuto
Kiattibutr, Kirakorn
Khamsiriwatchara, Amnat
Nguitragool, Wang
Sattabongkot, Jetsumon
Sirichaisinthop, Jeeraphat
Kobylinski, Kevin C.
author_sort Wamaket, Narenrit
collection PubMed
description BACKGROUND: Ivermectin mass drug administration (MDA) could accelerate malaria elimination in the Greater Mekong Subregion. This study was performed to characterize the bionomics of Anopheles in Surat Thani province, Thailand. METHODS: Mosquitoes were collected via human landing collections between February and October 2019. Anopheles mosquitoes were morphologically identified to species. Primary Anopheles malaria vectors were dissected to assess parity status, and a subset were evaluated for molecular identification and Plasmodium detection. RESULTS: A total of 17,348 mosquitoes were collected during the study period; of these, 5777 were Anopheles mosquitoes. Morphological studies identified 15 Anopheles species, of which the most abundant were Anopheles minimus (s.l.) (87.16%, n = 5035), An. dirus s.l. (7.05%, n = 407) and An. barbirostris s.l. (2.86%, n = 165). Molecular identification confirmed that of the An. minimus s.l. mosquitoes collected, 99.80% were An. minimus (s.s.) (n = 484) and 0.2% were An. aconitus (n = 1), of the An. dirus (s.l.) collected, 100% were An. baimaii (n = 348), and of the An. maculatus (s.l.) collected, 93.62% were An. maculatus (s.s.) (n = 44) and 6.38% were An. sawadwongporni (n = 3). No Anopheles mosquito tested was Plasmodium positive (0/879). An average of 11.46 Anopheles were captured per collector per night. There were differences between species in hour of collection (Kruskal–Wallis H-test: χ(2) =  80.89, P < 0.0001, n = 5666), with more An. barbirostris (s.l.) and An. maculatus (s.l.) caught earlier compared to An. minimus (s.l.) (P = 0.0001 and P < 0.0001, respectively) and An. dirus (s.l.) (P = 0.0082 and P < 0.001, respectively). The proportion of parous An. minimus (s.l.) captured by hour increased throughout the night (Wald Chi-square: χ(2) = 17.31, P = 0.000, odds ratio = 1.0535, 95% confidence interval 1.0279–1.0796, n = 3400). Overall, An. minimus (s.l.) parity was 67.68% (2375/3509) with an intra-cluster correlation of 0.0378. A power calculation determined that an An. minimus (s.l.) parity reduction treatment effect size = 34%, with four clusters per treatment arm and a minimum of 300 mosquitoes dissected per cluster, at an α = 0.05, will provide 82% power to detect a significant difference following ivermectin MDA. CONCLUSIONS: The study area in Surat Thani province is an ideal location to evaluate the impact of ivermectin MDA on An. minimus parity. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-83173182021-07-28 Anopheles bionomics in a malaria endemic area of southern Thailand Wamaket, Narenrit Khamprapa, Oranicha Chainarin, Sittinont Thamsawet, Panisa Ninsaeng, Ubolrat Thongsalee, Suttipong Suwan, Veerast Sakolvaree, Jira Takhampunya, Ratree Davidson, Silas A. McCardle, Patrick W. Sa-angchai, Patiwat Mukaka, Mavuto Kiattibutr, Kirakorn Khamsiriwatchara, Amnat Nguitragool, Wang Sattabongkot, Jetsumon Sirichaisinthop, Jeeraphat Kobylinski, Kevin C. Parasit Vectors Research BACKGROUND: Ivermectin mass drug administration (MDA) could accelerate malaria elimination in the Greater Mekong Subregion. This study was performed to characterize the bionomics of Anopheles in Surat Thani province, Thailand. METHODS: Mosquitoes were collected via human landing collections between February and October 2019. Anopheles mosquitoes were morphologically identified to species. Primary Anopheles malaria vectors were dissected to assess parity status, and a subset were evaluated for molecular identification and Plasmodium detection. RESULTS: A total of 17,348 mosquitoes were collected during the study period; of these, 5777 were Anopheles mosquitoes. Morphological studies identified 15 Anopheles species, of which the most abundant were Anopheles minimus (s.l.) (87.16%, n = 5035), An. dirus s.l. (7.05%, n = 407) and An. barbirostris s.l. (2.86%, n = 165). Molecular identification confirmed that of the An. minimus s.l. mosquitoes collected, 99.80% were An. minimus (s.s.) (n = 484) and 0.2% were An. aconitus (n = 1), of the An. dirus (s.l.) collected, 100% were An. baimaii (n = 348), and of the An. maculatus (s.l.) collected, 93.62% were An. maculatus (s.s.) (n = 44) and 6.38% were An. sawadwongporni (n = 3). No Anopheles mosquito tested was Plasmodium positive (0/879). An average of 11.46 Anopheles were captured per collector per night. There were differences between species in hour of collection (Kruskal–Wallis H-test: χ(2) =  80.89, P < 0.0001, n = 5666), with more An. barbirostris (s.l.) and An. maculatus (s.l.) caught earlier compared to An. minimus (s.l.) (P = 0.0001 and P < 0.0001, respectively) and An. dirus (s.l.) (P = 0.0082 and P < 0.001, respectively). The proportion of parous An. minimus (s.l.) captured by hour increased throughout the night (Wald Chi-square: χ(2) = 17.31, P = 0.000, odds ratio = 1.0535, 95% confidence interval 1.0279–1.0796, n = 3400). Overall, An. minimus (s.l.) parity was 67.68% (2375/3509) with an intra-cluster correlation of 0.0378. A power calculation determined that an An. minimus (s.l.) parity reduction treatment effect size = 34%, with four clusters per treatment arm and a minimum of 300 mosquitoes dissected per cluster, at an α = 0.05, will provide 82% power to detect a significant difference following ivermectin MDA. CONCLUSIONS: The study area in Surat Thani province is an ideal location to evaluate the impact of ivermectin MDA on An. minimus parity. GRAPHICAL ABSTRACT: [Image: see text] BioMed Central 2021-07-27 /pmc/articles/PMC8317318/ /pubmed/34315509 http://dx.doi.org/10.1186/s13071-021-04870-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wamaket, Narenrit
Khamprapa, Oranicha
Chainarin, Sittinont
Thamsawet, Panisa
Ninsaeng, Ubolrat
Thongsalee, Suttipong
Suwan, Veerast
Sakolvaree, Jira
Takhampunya, Ratree
Davidson, Silas A.
McCardle, Patrick W.
Sa-angchai, Patiwat
Mukaka, Mavuto
Kiattibutr, Kirakorn
Khamsiriwatchara, Amnat
Nguitragool, Wang
Sattabongkot, Jetsumon
Sirichaisinthop, Jeeraphat
Kobylinski, Kevin C.
Anopheles bionomics in a malaria endemic area of southern Thailand
title Anopheles bionomics in a malaria endemic area of southern Thailand
title_full Anopheles bionomics in a malaria endemic area of southern Thailand
title_fullStr Anopheles bionomics in a malaria endemic area of southern Thailand
title_full_unstemmed Anopheles bionomics in a malaria endemic area of southern Thailand
title_short Anopheles bionomics in a malaria endemic area of southern Thailand
title_sort anopheles bionomics in a malaria endemic area of southern thailand
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317318/
https://www.ncbi.nlm.nih.gov/pubmed/34315509
http://dx.doi.org/10.1186/s13071-021-04870-8
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