Jang Jin Young, Chun Byung Chul
Department of Public Health, Korea University Graduate School, Seoul, Korea.
Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.
PLoS One. 2020 Dec 28;15(12):e0244479. doi: 10.1371/journal.pone.0244479. eCollection 2020.
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.
疟疾是一种由按蚊传播的媒介传播疾病。在韩国,间日疟是一种地方病,主要传播媒介是中华按蚊。间日疟在韩国西北部很常见,包括非军事区附近地区的高阳市。本研究旨在确定预测韩国高阳市蚊虫平均丰度的最佳时间序列模型。蚊虫数据来自高阳市一山新区公共卫生中心2008 - 2012年期间的蚊虫监测项目。在公园、老年社区中心、乡村社区中心、公共卫生中心、排水泵站、仙人掌研究中心、森林附近的餐厅定期设置黑光诱捕器,这些地方夜间有很多活动。在研究期间的蚊虫季节,在12个固定诱捕地点共收集到9512只雌蚊。中华按蚊的周平均丰度与最低草地温度呈正相关(r = 0.694,p < 0.001),与降水量呈正相关(r = 0.326,p = 0.001)。结果表明,具有滞后0周的最低草地温度变量和滞后1周的降水量变量的季节性自回归积分滑动平均(SARIMA)(1,0,0)(0,0,1)21模型是蚊虫平均丰度的最佳模型。该多变量模型解释了约54.1%的蚊虫平均丰度变化。蚊虫平均丰度与气候因素的时间序列分析为预测疟疾蚊的发生提供了基础信息。