Anopheles bionomics in a malaria endemic area of southern Thailand
Abstract 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 b...
Main Authors: | , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-07-01
|
Series: | Parasites & Vectors |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13071-021-04870-8 |
id |
doaj-f1794eaca6e84253bb2d676d1ef1a761 |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Narenrit Wamaket Oranicha Khamprapa Sittinont Chainarin Panisa Thamsawet Ubolrat Ninsaeng Suttipong Thongsalee Veerast Suwan Jira Sakolvaree Ratree Takhampunya Silas A. Davidson Patrick W. McCardle Patiwat Sa-angchai Mavuto Mukaka Kirakorn Kiattibutr Amnat Khamsiriwatchara Wang Nguitragool Jetsumon Sattabongkot Jeeraphat Sirichaisinthop Kevin C. Kobylinski |
spellingShingle |
Narenrit Wamaket Oranicha Khamprapa Sittinont Chainarin Panisa Thamsawet Ubolrat Ninsaeng Suttipong Thongsalee Veerast Suwan Jira Sakolvaree Ratree Takhampunya Silas A. Davidson Patrick W. McCardle Patiwat Sa-angchai Mavuto Mukaka Kirakorn Kiattibutr Amnat Khamsiriwatchara Wang Nguitragool Jetsumon Sattabongkot Jeeraphat Sirichaisinthop Kevin C. Kobylinski Anopheles bionomics in a malaria endemic area of southern Thailand Parasites & Vectors Anopheles Plasmodium Malaria Thailand Surat Thani Parity |
author_facet |
Narenrit Wamaket Oranicha Khamprapa Sittinont Chainarin Panisa Thamsawet Ubolrat Ninsaeng Suttipong Thongsalee Veerast Suwan Jira Sakolvaree Ratree Takhampunya Silas A. Davidson Patrick W. McCardle Patiwat Sa-angchai Mavuto Mukaka Kirakorn Kiattibutr Amnat Khamsiriwatchara Wang Nguitragool Jetsumon Sattabongkot Jeeraphat Sirichaisinthop Kevin C. Kobylinski |
author_sort |
Narenrit Wamaket |
title |
Anopheles bionomics in a malaria endemic area of southern Thailand |
title_short |
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_sort |
anopheles bionomics in a malaria endemic area of southern thailand |
publisher |
BMC |
series |
Parasites & Vectors |
issn |
1756-3305 |
publishDate |
2021-07-01 |
description |
Abstract 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 |
topic |
Anopheles Plasmodium Malaria Thailand Surat Thani Parity |
url |
https://doi.org/10.1186/s13071-021-04870-8 |
work_keys_str_mv |
AT narenritwamaket anophelesbionomicsinamalariaendemicareaofsouthernthailand AT oranichakhamprapa anophelesbionomicsinamalariaendemicareaofsouthernthailand AT sittinontchainarin anophelesbionomicsinamalariaendemicareaofsouthernthailand AT panisathamsawet anophelesbionomicsinamalariaendemicareaofsouthernthailand AT ubolratninsaeng anophelesbionomicsinamalariaendemicareaofsouthernthailand AT suttipongthongsalee anophelesbionomicsinamalariaendemicareaofsouthernthailand AT veerastsuwan anophelesbionomicsinamalariaendemicareaofsouthernthailand AT jirasakolvaree anophelesbionomicsinamalariaendemicareaofsouthernthailand AT ratreetakhampunya anophelesbionomicsinamalariaendemicareaofsouthernthailand AT silasadavidson anophelesbionomicsinamalariaendemicareaofsouthernthailand AT patrickwmccardle anophelesbionomicsinamalariaendemicareaofsouthernthailand AT patiwatsaangchai anophelesbionomicsinamalariaendemicareaofsouthernthailand AT mavutomukaka anophelesbionomicsinamalariaendemicareaofsouthernthailand AT kirakornkiattibutr anophelesbionomicsinamalariaendemicareaofsouthernthailand AT amnatkhamsiriwatchara anophelesbionomicsinamalariaendemicareaofsouthernthailand AT wangnguitragool anophelesbionomicsinamalariaendemicareaofsouthernthailand AT jetsumonsattabongkot anophelesbionomicsinamalariaendemicareaofsouthernthailand AT jeeraphatsirichaisinthop anophelesbionomicsinamalariaendemicareaofsouthernthailand AT kevinckobylinski anophelesbionomicsinamalariaendemicareaofsouthernthailand |
_version_ |
1721245946510049280 |
spelling |
doaj-f1794eaca6e84253bb2d676d1ef1a7612021-08-01T11:28:21ZengBMCParasites & Vectors1756-33052021-07-0114111910.1186/s13071-021-04870-8Anopheles bionomics in a malaria endemic area of southern ThailandNarenrit Wamaket0Oranicha Khamprapa1Sittinont Chainarin2Panisa Thamsawet3Ubolrat Ninsaeng4Suttipong Thongsalee5Veerast Suwan6Jira Sakolvaree7Ratree Takhampunya8Silas A. Davidson9Patrick W. McCardle10Patiwat Sa-angchai11Mavuto Mukaka12Kirakorn Kiattibutr13Amnat Khamsiriwatchara14Wang Nguitragool15Jetsumon Sattabongkot16Jeeraphat Sirichaisinthop17Kevin C. Kobylinski18Department of Entomology, Armed Forces Research Institute of Medical SciencesDepartment of Entomology, Armed Forces Research Institute of Medical SciencesDepartment of Entomology, Armed Forces Research Institute of Medical SciencesSurat Thani Vector-Borne Diseases Control Center 11.3Surat Thani Vector-Borne Diseases Control Center 11.3Surat Thani Vector-Borne Diseases Control Center 11.3Surat Thani Vector-Borne Diseases Control Center 11.3Department of Entomology, Armed Forces Research Institute of Medical SciencesDepartment of Entomology, Armed Forces Research Institute of Medical SciencesDepartment of Entomology, Armed Forces Research Institute of Medical SciencesDepartment of Entomology, Armed Forces Research Institute of Medical SciencesDepartment of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol UniversityMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol UniversityMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol UniversityCenter of Excellence for Biomedical and Public Health Informatics, Faculty of Tropical Medicine, Mahidol UniversityMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol UniversityMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol UniversityDepartment of Disease Control, Ministry of Public HealthDepartment of Entomology, Armed Forces Research Institute of Medical SciencesAbstract 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 abstracthttps://doi.org/10.1186/s13071-021-04870-8AnophelesPlasmodiumMalariaThailandSurat ThaniParity |