{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T18:48:28Z","timestamp":1775155708441,"version":"3.50.1"},"reference-count":40,"publisher":"American Mosquito Control Association","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6]]},"abstract":"ABSTRACT<\/jats:title>\n Within the contiguous USA, Florida is unique in having tropical and subtropical climates, a great abundance and diversity of mosquito vectors, and high rates of human travel. These factors contribute to the state being the national ground zero for exotic mosquito-borne diseases, as evidenced by local transmission of viruses spread by Aedes aegypti<\/jats:italic>, including outbreaks of dengue in 2022 and Zika in 2016. Because of limited treatment options, integrated vector management is a key part of mitigating these arboviruses. Practical knowledge of when and where mosquito populations of interest exist is critical for surveillance and control efforts, and habitat predictions at various geographic scales typically rely on ecological niche modeling. However, most of these models, usually created in partnership with academic institutions, demand resources that otherwise may be too time-demanding or difficult for mosquito control programs to replicate and use effectively. Such resources may include intensive computational requirements, high spatiotemporal resolutions of data not regularly available, and\/or expert knowledge of statistical analysis. Therefore, our study aims to partner with mosquito control agencies in generating operationally useful mosquito abundance models. Given the increasing threat of mosquito-borne disease transmission in Florida, our analytic approach targets recent Ae. aegypti<\/jats:italic> abundance in the Tampa Bay area. We investigate explanatory variables that: 1) are publicly available, 2) require little to no preprocessing for use, and 3) are known factors associated with Ae. aegypti<\/jats:italic> ecology. Out of our 4 final models, none required more than 5 out of the 36 predictors assessed (13.9%). Similar to previous literature, the strongest predictors were consistently 3- and 4-wk temperature and precipitation lags, followed closely by 1 of 2 environmental predictors: land use\/land cover or normalized difference vegetation index. Surprisingly, 3 of our 4 final models included one or more socioeconomic or demographic predictors. In general, larger sample sizes of trap collections and\/or citizen science observations should result in greater confidence in model predictions and validation. However, given disparities in trap collections across jurisdictions, individual county models rather than a multicounty conglomerate model would likely yield stronger model fits. Ultimately, we hope that the results of our assessment will enable more accurate and precise mosquito surveillance and control of Ae. aegypti<\/jats:italic> in Florida and beyond.<\/jats:p>","DOI":"10.2987\/22-7109","type":"journal-article","created":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T18:46:00Z","timestamp":1687805160000},"page":"96-107","source":"Crossref","is-referenced-by-count":4,"title":["A Habitat Model for Disease Vector Aedes aegypti in the Tampa Bay Area, Florida"],"prefix":"10.2987","volume":"39","author":[{"given":"Johnny A.","family":"Uelmen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Connor D.","family":"Mapes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agne","family":"Prasauskas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carl","family":"Boohene","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonard","family":"Burns","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jason","family":"Stuck","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryan M.","family":"Carney","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1569","reference":[{"issue":"16","key":"i1943-6270-39-2-96-Beeman1","series-title":"PLoS ONE","article-title":"Ensemble ecological niche modeling of West Nile virus probability in Florida","volume":"8","author":"Beeman","year":"2021","unstructured":"Beeman\n SP,\n \n \n Morrison\n AM,\n \n \n Unnasch\n TR,\n \n \n Unnasch\n RS.\n \n \n 2021.\n\t\t\t\t\tEnsemble ecological niche modeling of West Nile virus probability in Florida.\n\t\t\t\t\tPLoS ONE8:\n\t\t\t\t\t16.\n\t\t\t\t\thttps:\/\/doi.org\/10.1371\/journal.pone.0256868"},{"issue":"675","key":"i1943-6270-39-2-96-Carney1","series-title":"Insects","article-title":"Integrating global citizen science platforms to enable next-generation surveillance of invasive and vector mosquitoes","volume":"13","author":"Carney","year":"2022","unstructured":"Carney\n R,\n \n \n Mapes\n C,\n \n \n Low\n R,\n \n \n Long\n A,\n \n \n Bowser\n A,\n \n \n Durieux\n D,\n \n \n Rivera\n K,\n \n \n Dekramanjian\n B,\n \n \n Bartumeus\n F,\n \n \n Guerrero\n D,\n \n \n Seltzer\n C,\n \n \n Azam\n F,\n \n \n Chellappan\n S,\n \n \n Palmer\n JP.\n \n \n 2022.\n\t\t\t\t\tIntegrating global citizen science platforms to enable next-generation surveillance of invasive and vector mosquitoes.\n\t\t\t\t\tInsects13:\n\t\t\t\t\t675.\n\t\t\t\t\thttps:\/\/doi.org\/10.3390\/insects13080675"},{"key":"i1943-6270-39-2-96-CentersforDiseaseControlandPrevention1","series-title":"[Internet]","article-title":"Potential range of Aedes aegypti and Aedes albopictus in the United States","year":"2017","unstructured":"CDC [Centers for Disease Control and Prevention].\n 2017.\n\t\t\t\t\tPotential range of Aedes aegypti and Aedes albopictus in the United States[Internet].\n\t\t\t\t\tAtlanta, GA:\n\t\t\t\t\tCenters for Disease Control and Prevention[accessed December 18, 2022]."},{"key":"i1943-6270-39-2-96-CentersforDiseaseControlandPrevention2","series-title":"[Internet]","article-title":"Dengue cases in the US","year":"2022","unstructured":"CDC [Centers for Disease Control and Prevention].\n 2022.\n\t\t\t\t\tDengue cases in the US[Internet].\n\t\t\t\t\tAtlanta, GA:\n\t\t\t\t\tCenters for Disease Control and Prevention, National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of Vector-Borne Diseases (DVBD)[accessed December 18, 2022]. 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climate","volume":"13","author":"Kamal","year":"2018","unstructured":"Kamal\n M,\n \n \n Kenawy\n MA,\n \n \n Rady\n MH,\n \n \n Khaled\n AS,\n \n \n Samy\n AM.\n \n \n 2018.\n\t\t\t\t\tMapping the global potential distributions of two arboviral vectors Aedes aegypti and Ae. albopictus under changing climate.\n\t\t\t\t\tPLoS One13:\n\t\t\t\t\te0210122.\n\t\t\t\t\thttps:\/\/doi.org\/10.1371\/journal.pone.0210122"},{"issue":"e0227160","key":"i1943-6270-39-2-96-Karki1","series-title":"PLoS One","article-title":"The drivers of West Nile virus human illness in the Chicago, Illinois, USA area: fine scale dynamic effects of weather, mosquito infection, social, and biological conditions","volume":"15","author":"Karki","year":"2020","unstructured":"Karki\n S,\n \n \n Brown\n WM,\n \n \n Uelmen\n J,\n \n \n Ruiz\n MO,\n \n \n Smith\n RL.\n \n \n 2020.\n\t\t\t\t\tThe drivers of West Nile virus human illness in the Chicago, Illinois, USA area: fine scale dynamic effects of weather, mosquito 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Elife","volume":"4","author":"Kraemer","year":"2015","unstructured":"Kraemer\n MUG,\n \n \n Sinka\n ME,\n \n \n Duda\n KA,\n \n \n Mylne\n AQN,\n \n \n Shearer\n FM,\n \n \n Barker\n CM,\n \n \n Moore\n CG,\n \n \n Carvalho\n RG,\n \n \n Coelho\n GE,\n \n \n Van Bortel\n W,\n \n \n Hendrickx\n G,\n \n \n Schaffner\n F,\n \n \n Elyazar\n IRF,\n \n \n Teng\n HJ,\n \n \n Brady\n OJ,\n \n \n Messina\n JP,\n \n \n Pigott\n DM,\n \n \n Scott\n TW,\n \n \n Smith\n DL,\n \n \n Wint\n GRW,\n \n \n Golding\n N,\n \n \n Hay\n SI.\n \n \n 2015\n b.\n The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. 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Zika virus\u2014Miami-Dade and Broward Counties, Florida, June\u2013August 2016","volume":"65","author":"Likos","year":"2016","unstructured":"Likos\n A,\n \n \n Griffin\n I,\n \n \n Bingham\n AM,\n \n \n Stanek\n D,\n \n \n Fischer\n M,\n \n \n White\n S,\n \n \n Hamilton\n J,\n \n \n Eisenstein\n L,\n \n \n Atrubin\n D,\n \n \n Mulay\n P,\n \n \n Scott\n B,\n \n \n Jenkins\n P,\n \n \n Fernandez\n D,\n \n \n Rico\n E,\n \n \n Gillis\n L,\n \n \n Jean\n R,\n \n \n Cone\n M,\n \n \n Blackmore\n C,\n \n \n McAllister\n J,\n \n \n Vasquez\n C,\n \n \n Rivera\n L,\n \n \n Philip\n C.\n \n \n 2016.\n\t\t\t\t\tLocal mosquito-borne transmission of Zika virus\u2014Miami-Dade and Broward Counties, Florida, June\u2013August 2016.\n\t\t\t\t\tMMWR Morb Mortal Wkly Rep65:\n\t\t\t\t\t1032\u2013\n\t\t\t\t\t1038.\n\t\t\t\t\thttps:\/\/doi.org\/10.15585\/mmwr.mm6538e1"},{"key":"i1943-6270-39-2-96-Little1","series-title":"J Med Entomol","first-page":"1183","article-title":"Socio-ecological mechanisms 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scalable tool to track disease-carrying mosquitoes","volume":"8","author":"Palmer","year":"2017","unstructured":"Palmer\n JRB,\n \n \n Oltra\n A,\n \n \n Collantes\n F,\n \n \n Delgado\n JA,\n \n \n Lucientes\n J,\n \n \n Delacour\n S,\n \n \n Bengoa\n M,\n \n \n Eritja\n R,\n \n \n Bartumeus\n F.\n \n \n 2017.\n\t\t\t\t\tCitizen science provides a reliable and scalable tool to track disease-carrying mosquitoes.\n\t\t\t\t\tNat Commun8:\n\t\t\t\t\t916.\n\t\t\t\t\thttps:\/\/doi.org\/10.1038\/s41467-017-00914-9"},{"key":"i1943-6270-39-2-96-Patterson1","series-title":"West J Emerg Med","first-page":"671","article-title":"Dengue, Zika and Chikungunya: emerging arboviruses in the New World","volume":"17","author":"Patterson","year":"2016","unstructured":"Patterson\n J,\n \n \n Sammon\n M,\n \n \n Garg\n M.\n \n \n 2016.\n\t\t\t\t\tDengue, Zika and Chikungunya: emerging arboviruses in the New World.\n\t\t\t\t\tWest J Emerg 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2014.\n\t\t\t\t\tDengue in Florida (USA).\n\t\t\t\t\tInsects5:\n\t\t\t\t\t991\u2013\n\t\t\t\t\t1000.\n\t\t\t\t\thttps:\/\/doi.org\/10.3390\/insects5040991"},{"issue":"1230","key":"i1943-6270-39-2-96-Sallam1","series-title":"Int J Environ Res Public Health","article-title":"Systematic review: land cover, meteorological, and socioeconomic determinants of Aedes mosquito habitat for risk mapping","volume":"14","author":"Sallam","year":"2017","unstructured":"Sallam\n MF,\n \n \n Fizer\n C,\n \n \n Pilant\n AN,\n \n \n Whung\n PY.\n \n \n 2017.\n\t\t\t\t\tSystematic review: land cover, meteorological, and socioeconomic determinants of Aedes mosquito habitat for risk mapping.\n\t\t\t\t\tInt J Environ Res Public Health14:\n\t\t\t\t\t1230.\n\t\t\t\t\thttps:\/\/doi.org\/10.3390\/ijerph14101230"},{"issue":"e58511","key":"i1943-6270-39-2-96-Shocket1","series-title":"Elife","article-title":"Transmission of West Nile and five other temperate mosquito-borne viruses peaks at temperatures between 23\u00b0C and 26\u00b0C","volume":"9","author":"Shocket","year":"2020","unstructured":"Shocket\n MS,\n \n \n Verwillow\n AB,\n \n \n Numazu\n MG,\n \n \n Slamani\n H,\n \n \n Cohen\n JM,\n \n \n el Moustaid\n F,\n \n \n Rohr\n J,\n \n \n Johnson\n LR,\n \n \n Mordecai\n EA.\n \n \n 2020.\n\t\t\t\t\tTransmission of West Nile and five other temperate mosquito-borne viruses peaks at temperatures between 23\u00b0C and 26\u00b0C.\n\t\t\t\t\tElife9:\n\t\t\t\t\te58511.\n\t\t\t\t\thttps:\/\/doi.org\/10.7554\/ELIFE.58511"},{"key":"i1943-6270-39-2-96-Takken1","series-title":"Annu Rev Entomol","first-page":"433","article-title":"Host preferences of blood-feeding mosquitoes","volume":"58","author":"Takken","year":"2013","unstructured":"Takken\n W,\n \n \n Verhulst\n NO.\n \n \n 2013.\n\t\t\t\t\tHost preferences of blood-feeding mosquitoes.\n\t\t\t\t\tAnnu Rev 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