표제지
목차
서론 11
1. 연구 배경 12
2. 연구 목적 16
1장 감염병매개체 모기 밀도 및 플라비바이러스속(Flavivirus) 병원체 검사 연구 17
1. 서론 18
2. 재료 및 방법 20
가. 연구 대상지 20
나. 연구 대상지 개황 21
다. 연구 기간 및 매개체 동정 25
라. 병원체 분석 27
마. 데이터 분석 33
3. 결과 34
가. 일일 밀도 감시 34
나. 모기 종 및 밀도 분포 36
다. 트랩 효율성 분석 51
라. 병원체 감시 53
4. 고찰 54
가. 일일 밀도 감시 54
나. 모기 종 및 밀도 분포 55
다. 트랩 효율성 분석 57
라. 병원체 감시 57
2장 모기 발생 예측 모형 개발 58
1. 서론 59
2. 재료 및 방법 61
가. 연구 지역 61
나. 모기 개체수 및 변수 데이터 수집 63
다. 모기 개체수 예측산식 모델 개발 89
3. 결과 92
가. 모기 밀도 분석 92
나. 기상요인 데이터 분석 96
다. 공간정보 데이터 분석 100
라. 서울시 모기 개체수 예측산식 도출 및 정확도 검정 104
4. 고찰 114
3장 Mass trapping을 이용한 Mosquito Free Zone 연구 119
1. 서론 120
2. 재료 및 방법 122
가. 연구 지역 122
나. 연구 기간 및 모니터링 트랩 124
다. 매개체 분류 및 동정 127
라. 데이터 수집 129
마. 데이터 분석 129
3. 결과 131
가. 모기 속 분포 및 밀도 131
나. 트랩 별 모기 밀도 133
다. 연도별 평균 모기 밀도 136
4. 고찰 141
결론 144
참고문헌 148
부록 161
Appendix 1-1. Mean number of mosquitoes by species in the metropolitan area in 2021. 162
Appendix 1-2. Mean number of mosquitoes per month in study site in 2021. 163
Appendix 1-3. Mean number of mosquitoes by species in study site in 2021. 164
Appendix 1-4. Mean number of mosquitoes by species in study site in 2021. 165
Appendix 2-1. Results of analysis of mosquito populations in Seoul. 166
Appendix 2-2. The mean number of mosquito population per -gu in Seoul from 2015 to 2021 (continued).. 167
Appendix 2-3. Correlation analysis of mean mosquito population by DMS in 2021 according to land cover classification of 100m radius of DMS and altitude in Seoul. 169
Appendix 2-4. Analysis of the prediction formula for the mosquito population using meteorological factors and spatial variables according to delay date (continued). 170
Appendix 2-5. Scatter regression equation of observed and predicted mosquito population according to delay date in 2021. 172
Appendix 2-6. Analysis of the prediction formula for the mosquito population using meteorological factors and spatial variables (continued).. 173
Appendix 2-7. Scatter regression equation of observed mosquito population and predicted mosquito population in 2021 by month. 197
ABSTRACT 198
Table 1. Mosquito-borne legal infectious disease notified by the Korea Disease Control and Prevention Agency. 15
Table 1-1. Mosquito collection site in the metropolitan area of surveillance of infectious disease-borne mosquitoes. 24
Table 1-2. Collection traps for surveillance infectious disease-borne mosquitoes. 26
Table 1-3. Methods for surveillance of infectious disease-borne mosquitoes. 29
Table 1-4. Real time PCR conditions far diagnosis of Flavivirus. 30
Table 1-5. 2nd PCR conditions for diagnosis of Flavivirus. 31
Table 1-6. Primer sequence of 2ⁿd PCR for diagnosis of flavivirus.[이미지참조] 32
Table 1-7. Mosquito population surveillance results for infectious disease-borne mosquitoes in the metropolitan area. 37
Table 1-8. Infectious disease-bore mosquito monitoring pathogen test results. 53
Table 2-1. Locations of DMS device installed in 25 district offices at Seoul in 2021 (continued). 69
Table 2-2. Meteorological station information at Seoul in 2021. 74
Table 2-3. Meteorological factors of measuring instruments provided by the Korea Meteorological Administration in 2021 (continued). 75
Table 2-4. Location, of ASOS at Seoul in 2021. 81
Table 2-5. Land Cover Classification System (continued). 85
Table 2-6. Correlation analysis of daily mean mosquito population according to meteorological factors one day before in Seoul from 2015 to 2021. 98
Table 2-7. Correlation analysis of daily mean mosquito population according to meteorological factors in Seoul reflecting delay date from 2015 to 2021. 99
Table 2-8. Total land cover ratio of Seoul and land cover ratio of 100 m radius of DMS. 101
Table 2-9. Land cover rate of 100m radius of DMS by landscape element. 102
Table 2-10. Mosquito population prediction formula derived from the mosquito forecast system in Seoul (continued). 107
Table 3-1. Collection traps for Mosquito. 126
Table 3-2. Occurrence of mosquitoes collected with DMS at 5 sites in Ansan city from August 2018. 128
Table 3-3. Comparison of the percentage of mosquito population during June-October per year. 139
Table 3-4. Comparison of meteorological factors during June~October per year. 140
Figure 1-1. Infectious disease-borne mosquitoes surveillance study site for daily density monitoring. 22
Figure 1-2. Infectious disease-borne mosquitoes surveillance study site for Tran efficiency analysis. 23
Figure 1-3. Flow chart of the study progress for the surveillance of Infectious disease-borne mosquitoes. 33
Figure 1-4. Mosquito population density patterns collected with DMS devices and weather conditions at Seoul in 2021. 35
Figure 1-5. Mean number of mosquitoes by species in the metropolitan area. 38
Figure 1-6. Total number of mosquitoes in study site. 39
Figure 1-7. Mean mosquito population by study site in 2021. 40
Figure 1-8. Mean monthly mosquito population by study site in 2021. 42
Figure 1-9. Mean mosquito populations by species by study site in 2021. 44
Figure 1-10. Percentage of mosquito species populations for each month by study site in 2021. 46
Figure 1-11. DMS mean accuracy by study area in 2021. 50
Figure 1-12. Mean number of mosquitoes per trap in St. 3 and St. 4. 52
Figure 2-1. The location of the DMS(Digital mosquito monitoring system) device for mosquito forecast and ASOS(Automated Synoptic Observing System) device of the Korea Meteorological Administration in Seoul. 62
Figure 2-2. DMS (Digital mosquito monitoring system) diagram. 64
Figure 2-3. Mean mosquito population data and outlier removal data collected by DMS from 2015 to 2021 (continued). 66
Figure 2-4. Mosquito's life cycle. 82
Figure 2-5. DMS and ASOS locations and Large classification(resolution 30m class) land cover map in Seoul. 87
Figure 2-6. DMS and ASOS location and altitude status in Seoul. 88
Figure 2-7. Flow chart of the study progress to derive the prediction formula for the mosquito forecast for Seoul according to climate factors and... 91
Figure 2-8. Results of analysis of mosquito populations in Seoul. 93
Figure 2-9. DMS mean mosquito population by landscape element in 2021 94
Figure 2-10. Maen number of mosquitoes per -gu in Seoul from 2015 to 2021. 95
Figure 2-11. Correlation of daily mean mosquito population according to delay date of meteorological factors in Seoul from 2015 to 2021. 97
Figure 2-12. Correlation analysis of mean mosquito population by DMS in 2021 according to land cover classification of 100m radius of DMS and... 103
Figure 2-13. Analysis of the accuracy observed daily mean mosquito population in 2021 and Predicted daily mean mosquito population in Seoul... 106
Figure 2-14. Analysis of accuracy of observed daily mean mosquito population in 2021 and predicted daily mean mosquito population in Seoul. 112
Figure 2-15. Observed and predicted daily mean mosquito populations for 2021. 113
Figure 3-1. The study site and land cover of Mosquito free zone using mass trapping of of physical control. 123
Figure 3-2. Research design for establishing mosquito free zone using mass trapping of physical control. 125
Figure 3-3. Flow chart of the study progress of establishing mosquito free zone using mass trapping of physical control. 130
Figure 3-4. Mosquito population by Genus captured by MOS-HOLE PRO trap. 132
Figure 3-5. Mean mosquito population per trap. 134
Figure 3-6. Mean mosquito population for time series by per trap. 135
Figure 3-7. Mean mosquito population per year collected by DMS. 137
Figure 3-8. Daily mean mosquito collected by DMS trap per year. 138