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Association of Anopheles sinensis average abundance and climate factors: Use of mosquito surveillance data in Goyang, Korea

Malaria is a vector-borne disease transmitted by Anopheline mosquitoes. In Korea, Plasmodium vivax malaria is an endemic disease and the main vector is Anopheles sinensis. Plasmodium vivax malaria is common in the northwestern part of South Korea, including in the city of Goyang in regions near the...

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Autores principales: Jang, Jin Young, Chun, Byung Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769257/
https://www.ncbi.nlm.nih.gov/pubmed/33370376
http://dx.doi.org/10.1371/journal.pone.0244479
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author Jang, Jin Young
Chun, Byung Chul
author_facet Jang, Jin Young
Chun, Byung Chul
author_sort Jang, Jin Young
collection PubMed
description Malaria is a vector-borne disease transmitted by Anopheline mosquitoes. In Korea, Plasmodium vivax malaria is an endemic disease and the main vector is Anopheles sinensis. Plasmodium vivax malaria is common in the northwestern part of South Korea, including in the city of Goyang in regions near the demilitarized zone. This study aimed to identify the best time-series model for predicting mosquito average abundance in Goyang, Korea. Mosquito data were obtained from the Mosquito Surveillance Program of the Goyang Ilsanseogu Public Health Center for the period 2008–2012. Black light traps were set up periodically in a park, a senior community center, and a village community center, public health center, drainage pumping station, cactus research center, restaurant near forest, in which many activities occur at night. In total, 9,512 female mosquitoes were collected at 12 permanent trapping sites during the mosquito season in the study period. Weekly An. sinensis average abundance was positively correlated with minimum grass temperature (r = 0.694, p < 0.001), precipitation (r = 0.326, p = 0.001). The results showed that seasonal autoregressive integrated moving average (SARIMA) (1,0,0)(0,0,1)(21) with minimum grass temperature variable at time lag0 weeks and the precipitation variable at time lag1 weeks provided that best model of mosquito average abundance. The multivariate model accounted for about 54.1% of the mosquito average abundance variation. Time-series analysis of mosquito average abundance and climate factors provided basic information for predicting the occurrence of malaria mosquitoes.
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spelling pubmed-77692572021-01-08 Association of Anopheles sinensis average abundance and climate factors: Use of mosquito surveillance data in Goyang, Korea Jang, Jin Young Chun, Byung Chul PLoS One Research Article Malaria is a vector-borne disease transmitted by Anopheline mosquitoes. In Korea, Plasmodium vivax malaria is an endemic disease and the main vector is Anopheles sinensis. Plasmodium vivax malaria is common in the northwestern part of South Korea, including in the city of Goyang in regions near the demilitarized zone. This study aimed to identify the best time-series model for predicting mosquito average abundance in Goyang, Korea. Mosquito data were obtained from the Mosquito Surveillance Program of the Goyang Ilsanseogu Public Health Center for the period 2008–2012. Black light traps were set up periodically in a park, a senior community center, and a village community center, public health center, drainage pumping station, cactus research center, restaurant near forest, in which many activities occur at night. In total, 9,512 female mosquitoes were collected at 12 permanent trapping sites during the mosquito season in the study period. Weekly An. sinensis average abundance was positively correlated with minimum grass temperature (r = 0.694, p < 0.001), precipitation (r = 0.326, p = 0.001). The results showed that seasonal autoregressive integrated moving average (SARIMA) (1,0,0)(0,0,1)(21) with minimum grass temperature variable at time lag0 weeks and the precipitation variable at time lag1 weeks provided that best model of mosquito average abundance. The multivariate model accounted for about 54.1% of the mosquito average abundance variation. Time-series analysis of mosquito average abundance and climate factors provided basic information for predicting the occurrence of malaria mosquitoes. Public Library of Science 2020-12-28 /pmc/articles/PMC7769257/ /pubmed/33370376 http://dx.doi.org/10.1371/journal.pone.0244479 Text en © 2020 Jang, Chun http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jang, Jin Young
Chun, Byung Chul
Association of Anopheles sinensis average abundance and climate factors: Use of mosquito surveillance data in Goyang, Korea
title Association of Anopheles sinensis average abundance and climate factors: Use of mosquito surveillance data in Goyang, Korea
title_full Association of Anopheles sinensis average abundance and climate factors: Use of mosquito surveillance data in Goyang, Korea
title_fullStr Association of Anopheles sinensis average abundance and climate factors: Use of mosquito surveillance data in Goyang, Korea
title_full_unstemmed Association of Anopheles sinensis average abundance and climate factors: Use of mosquito surveillance data in Goyang, Korea
title_short Association of Anopheles sinensis average abundance and climate factors: Use of mosquito surveillance data in Goyang, Korea
title_sort association of anopheles sinensis average abundance and climate factors: use of mosquito surveillance data in goyang, korea
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769257/
https://www.ncbi.nlm.nih.gov/pubmed/33370376
http://dx.doi.org/10.1371/journal.pone.0244479
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