INSIGHTS AND CHALLENGES FOR THE DEVELOPMENT OF MOSQUITO CONTROL ACTION THRESHOLDS USING HISTORICAL MOSQUITO SURVEILLANCE AND CLIMATE DATASETS

被引:0
|
作者
Steck, Madeline R. [1 ,2 ]
Arheart, Kristopher L. [3 ]
Xue, Rui-de [1 ]
Aryaprema, Vindhya S. [1 ]
Peper, Steve T. [1 ]
Qualls, Whitney A. [1 ]
机构
[1] Anastasia Mosquito Control Dist, 120 EOC Dr, St Augustine, FL 32092 USA
[2] Univ Texas Med Branch, Dept Pathol, 712 Texas Ave, Galveston, TX 77550 USA
[3] Univ Miami, Miller Sch Med, 1600 NW 10th Ave, Miami, FL 33136 USA
关键词
Action threshold; climate data; modeling; mosquito control; surveillance; FIELD; MODEL;
D O I
暂无
中图分类号
Q96 [昆虫学];
学科分类号
摘要
Strategies to advance action threshold development can benefit both civilian and military vector control operations. The Anastasia Mosquito Control District (AMCD) has curated an extensive record database of surveillance programs and operational control activities in St. Johns County, Florida, since 2004. A thorough exploratory data analysis was performed on historical mosquito surveillance and county -wide climate data to identify climate predictors that could be used in constructing proactive threshold models for initiating control of Aedes, Culex, and Anopheles vector mosquitoes. Species counts pulled from Centers for Disease Control and Prevention (CDC) light trap (2004-2019) and BG trap (2014-2019) collection records and climate parameters of temperature (minimum, maximum, average), rainfall, and relative humidity were used in two iterations of generalized linear models. Climate readings were incorporated into models 1) in the form of continuous measurements, or 2) for categorization into number of "hot," "wet," or "humid" days by exceedance of selected biological index threshold values. Models were validated with tests of residual error, comparison of model effects, and predictive capability on testing data from the two recent surveillance seasons 2020 and 2021. Two iterations of negative binomial regression models were constructed for 6 species groups: container Aedes (Ae. aegypti, Ae. albopictus), standing water Culex (Cx. nigripalpus, Cx. quinquefasciatus), floodwater Aedes (Ae. atlanticus, Ae. infirmatus), salt -marsh Aedes (Ae. taeniorhyncus, Ae. sollicitans), swamp water Anopheles (An. crucians), and a combined Total Mosquitoes group. Final significant climate predictors varied substantially between species groups. Validation of models with testing data displayed limited predictive abilities of both model iterations. The most significant climate predictors for floodwater Aedes, the dominant and operationally influential species group in the county, were either total precipitation or frequency of precipitation events (number of "wet" days) at two to four weeks before trap collection week. Challenges hindering the construction of threshold models were discussed. Insights gained from these models provide initial feedback for streamlining the AMCD mosquito control program and analytical recommendations for future modelling efforts of interested mosquito control programs, in addition to generalized guidance for deployed armed forces personnel with needs of mosquito control but lacking active surveillance programs.
引用
收藏
页码:50 / 70
页数:21
相关论文
共 12 条
  • [1] INITIAL SURVEY OF MOSQUITO CONTROL PROGRAMS WITH SET ACTION THRESHOLDS AND ASSOCIATED SURVEILLANCE CHARACTERISTICS
    Aryaprema, Vindhya S.
    Steck, Madeline R.
    Peper, Steven T.
    Farooq, Muhammad
    Xue, Rui-De
    Qualls, Whitney A.
    JOURNAL OF THE AMERICAN MOSQUITO CONTROL ASSOCIATION, 2022, 38 (01) : 29 - 39
  • [3] A systematic review of published literature on mosquito control action thresholds across the world
    Aryaprema, Vindhya S.
    Steck, Madeline R.
    Peper, Steven T.
    Rui-de Xue
    Qualls, Whitney A.
    PLOS NEGLECTED TROPICAL DISEASES, 2023, 17 (03):
  • [4] Trends in mosquito species distribution modeling: insights for vector surveillance and disease control
    Lippi, Catherine A.
    Mundis, Stephanie J.
    Sippy, Rachel
    Flenniken, J. Matthew
    Chaudhary, Anusha
    Hecht, Gavriella
    Carlson, Colin J.
    Ryan, Sadie J.
    PARASITES & VECTORS, 2023, 16 (01)
  • [5] Trends in mosquito species distribution modeling: insights for vector surveillance and disease control
    Catherine A. Lippi
    Stephanie J. Mundis
    Rachel Sippy
    J. Matthew Flenniken
    Anusha Chaudhary
    Gavriella Hecht
    Colin J. Carlson
    Sadie J. Ryan
    Parasites & Vectors, 16
  • [6] Innovative strategies and challenges mosquito-borne disease control amidst climate change
    Zhang, Yuan
    Wang, Minhao
    Huang, Mingliu
    Zhao, Jinyi
    FRONTIERS IN MICROBIOLOGY, 2024, 15
  • [7] Achieving high coverage of larval-stage mosquito surveillance: challenges for a community-based mosquito control programme in urban Dar es Salaam, Tanzania
    Chaki, Prosper P.
    Govella, Nicodem J.
    Shoo, Bryson
    Hemed, Abdullah
    Tanner, Marcel
    Fillinger, Ulrike
    Killeen, Gerry F.
    MALARIA JOURNAL, 2009, 8
  • [8] Achieving high coverage of larval-stage mosquito surveillance: challenges for a community-based mosquito control programme in urban Dar es Salaam, Tanzania
    Prosper P Chaki
    Nicodem J Govella
    Bryson Shoo
    Abdullah Hemed
    Marcel Tanner
    Ulrike Fillinger
    Gerry F Killeen
    Malaria Journal, 8
  • [9] Mosquito surveillance using DNA barcoding can help in vector-born disease control
    Ahirrao, Kiran
    Jamdade, Rahul
    Khedkar, Gulab
    GENOME, 2015, 58 (05) : 185 - 186
  • [10] VECTOR MOSQUITO SURVEILLANCE USING CENTERS FOR DISEASE CONTROL AND PREVENTION AUTOCIDAL GRAVID OVITRAPS IN SAN ANTONIO, TEXAS
    Obregon, Joel A.
    Ximenez, Michelle A.
    Villalobos, Estefany E.
    de Valdez, Megan R. Wise
    JOURNAL OF THE AMERICAN MOSQUITO CONTROL ASSOCIATION, 2019, 35 (03) : 178 - 185