Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water

We modeled surface wetness at high resolution, using a dynamic hydrology model, to predict flood and swamp water mosquito abundances. Historical meteorologic data, as well as topographic, soil, and vegetation data, were used to model surface wetness and identify potential fresh and swamp water breed...

Full description

Bibliographic Details
Main Authors: Jeffrey Shaman, Marc Stieglitz, Colin Stark, Sylvie Le Blancq, Mark Cane
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2002-01-01
Series:Emerging Infectious Diseases
Subjects:
Online Access:https://wwwnc.cdc.gov/eid/article/8/1/01-0049_article
_version_ 1818009393604591616
author Jeffrey Shaman
Marc Stieglitz
Colin Stark
Sylvie Le Blancq
Mark Cane
author_facet Jeffrey Shaman
Marc Stieglitz
Colin Stark
Sylvie Le Blancq
Mark Cane
author_sort Jeffrey Shaman
collection DOAJ
description We modeled surface wetness at high resolution, using a dynamic hydrology model, to predict flood and swamp water mosquito abundances. Historical meteorologic data, as well as topographic, soil, and vegetation data, were used to model surface wetness and identify potential fresh and swamp water breeding habitats in two northern New Jersey watersheds. Surface wetness was positively associated with the subsequent abundance of the dominant floodwater mosquito species, Aedes vexans, and the swamp water species, Anopheles walkeri. The subsequent abundance of Culex pipiens, a species that breeds in polluted, eutrophic waters, was negatively correlated with local modeled surface wetness. These associations permit real-time monitoring and forecasting of these floodwater and nonfloodwater species at high spatial and temporal resolution. These predictions will enable public health agencies to institute control measures before the mosquitoes emerge as adults, when their role as transmitters of disease comes into play.
first_indexed 2024-04-14T05:41:20Z
format Article
id doaj.art-8d23b958a0ec411aa71b6881023bf8f8
institution Directory Open Access Journal
issn 1080-6040
1080-6059
language English
last_indexed 2024-04-14T05:41:20Z
publishDate 2002-01-01
publisher Centers for Disease Control and Prevention
record_format Article
series Emerging Infectious Diseases
spelling doaj.art-8d23b958a0ec411aa71b6881023bf8f82022-12-22T02:09:26ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592002-01-018181310.3201/eid0801.010049Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp WaterJeffrey ShamanMarc StieglitzColin StarkSylvie Le BlancqMark CaneWe modeled surface wetness at high resolution, using a dynamic hydrology model, to predict flood and swamp water mosquito abundances. Historical meteorologic data, as well as topographic, soil, and vegetation data, were used to model surface wetness and identify potential fresh and swamp water breeding habitats in two northern New Jersey watersheds. Surface wetness was positively associated with the subsequent abundance of the dominant floodwater mosquito species, Aedes vexans, and the swamp water species, Anopheles walkeri. The subsequent abundance of Culex pipiens, a species that breeds in polluted, eutrophic waters, was negatively correlated with local modeled surface wetness. These associations permit real-time monitoring and forecasting of these floodwater and nonfloodwater species at high spatial and temporal resolution. These predictions will enable public health agencies to institute control measures before the mosquitoes emerge as adults, when their role as transmitters of disease comes into play.https://wwwnc.cdc.gov/eid/article/8/1/01-0049_articleentomologyhydrologyCulicidaeAedesAnophelesCulex
spellingShingle Jeffrey Shaman
Marc Stieglitz
Colin Stark
Sylvie Le Blancq
Mark Cane
Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
Emerging Infectious Diseases
entomology
hydrology
Culicidae
Aedes
Anopheles
Culex
title Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
title_full Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
title_fullStr Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
title_full_unstemmed Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
title_short Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
title_sort using a dynamic hydrology model to predict mosquito abundances in flood and swamp water
topic entomology
hydrology
Culicidae
Aedes
Anopheles
Culex
url https://wwwnc.cdc.gov/eid/article/8/1/01-0049_article
work_keys_str_mv AT jeffreyshaman usingadynamichydrologymodeltopredictmosquitoabundancesinfloodandswampwater
AT marcstieglitz usingadynamichydrologymodeltopredictmosquitoabundancesinfloodandswampwater
AT colinstark usingadynamichydrologymodeltopredictmosquitoabundancesinfloodandswampwater
AT sylvieleblancq usingadynamichydrologymodeltopredictmosquitoabundancesinfloodandswampwater
AT markcane usingadynamichydrologymodeltopredictmosquitoabundancesinfloodandswampwater