Objectives
Japanese encephalitis is considered as a secondary legal infectious disease in Korea and is transmitted by mosquitoes in the summer season. The purpose of this study was to predict the ratio of Culex tritaeniorhynchus to all the species of mosquitoes present in the study regions. Methods
From 1999 to 2012, black light traps were installed in 10 regions in Korea (Busan, Gyeonggi, Gangwon, Chungbuk, Chungnam, Jeonbuk, Jeonnam, Gyeongbuk, Gyeongnam, and Jeju) to capture mosquitoes for identification and classification under a dissecting microscope. The number of mosquitoes captured/week was used to calculate its daily occurrence (mosquitoes/trap/night). To predict the characteristics of the mosquito population, an autoregressive model of order p (AR(p)) was used to execute the out-of-sample prediction and the in-sample estimation after presumption. Results
Compared with the out-of-sample method, the sample-weighted regression method's case was relatively superior for prediction, and this method predicted a decrease in the frequency of Cx. tritaeniorhynchus for 2013. However, the actual frequency of this species showed an increase in frequency. By contrast, the frequency rate of all the mosquitoes including Cx. tritaeniorhynchus gradually decreased. Conclusion
The number of patients with Japanese encephalitis has been strongly associated with the occurrence and density of vector mosquitoes, and the importance of this infectious disease has been highlighted since 2010. The 2013 prediction indicated an increase after an initial decrease, although the ratio of the two mosquito species decreased. The increase in vector density may be due to changes in temperature and the environment. Thus, continuous prevalence prediction is warranted.
Citations
Citations to this article as recorded by
Joint spatiotemporal modelling reveals seasonally dynamic patterns of Japanese encephalitis vector abundance across India Lydia H. V. Franklinos, David W. Redding, Tim C. D. Lucas, Rory Gibb, Ibrahim Abubakar, Kate E. Jones, Andrew S. Azman PLOS Neglected Tropical Diseases.2022; 16(2): e0010218. CrossRef
Vector competence of anthropophilic mosquitoes for a new mesonivirus in Senegal Alioune Gaye, Moussa Moïse Diagne, El Hadji Ndiaye, Marie Henriette Dior Ndione, Martin Faye, Cheikh Talla, Gamou Fall, Yamar Ba, Diawo Diallo, Ibrahima Dia, Pascal Handschumacher, Ousmane Faye, Amadou Alpha Sall, Mawlouth Diallo Emerging Microbes & Infections.2020; 9(1): 496. CrossRef
The mitochondrial genomes of Culex tritaeniorhynchus and Culex pipiens pallens (Diptera: Culicidae) and comparison analysis with two other Culex species Qian-Chun Luo, You-Jin Hao, Fengxia Meng, Ting-Jing Li, Yi-Ran Ding, Ya-Qiong Hua, Bin Chen Parasites & Vectors.2016;[Epub] CrossRef
Objectives
As the prevalence of tsutsugamushi disease has tripled over the past decade to affect 8307 people in October 2012, this study is conducted to estimate the willingness to pay (WTP) to avoid infection of tsutsugamushi disease in order to analyze the loss of value caused by climate change diseases. Methods
The double-bounded dichotomous choice of contingent valuation method was used to estimate the WTP to avoid infection of tsutsugamushi disease, through surveys conducted in the patient group (n = 120) and the control group (n = 240). Results
More young people in the family, higher level of awareness of risks caused by climate change, more male members (as opposed to female), higher income, lower suggested bid, and greater WTP, is better positioned to avoid infection of disease. The mean of the amount of WTP has been estimated to be 3689 Kwon per month. Conclusion
As people have become increasingly aware of climate change diseases, WTP to avoid infection of tsutsugamushi disease has increased accordingly. The implicit loss of value due to climate change diseases is becoming increasingly higher. Therefore, there should be stronger and more aggressive promotional activities to prevent people from being infected with tsutsugamushi disease and to build a healthier society free from climate change diseases.
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