Using a dynamic hydrology model to predict mosquito abundances in flood and swamp water

scientific article

Using a dynamic hydrology model to predict mosquito abundances in flood and swamp water is …
instance of (P31):
scholarly articleQ13442814
review articleQ7318358

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P356DOI10.3201/EID0801.010049
P3181OpenCitations bibliographic resource ID392489
P932PMC publication ID2730265
P698PubMed publication ID11749741

P50authorJeffrey ShamanQ87278412
Marc StieglitzQ113517941
P2093author name stringMark Cane
Colin Stark
Sylvie Le Blancq
P2860cites workPredicting key malaria transmission factors, biting and entomological inoculation rates, using modelled soil moisture in KenyaQ31977961
Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of diseaseQ36810084
Mortality rates and population density of tsetse flies correlated with satellite imageryQ39405653
Application of remote sensing to arthropod vector surveillance and control.Q40667749
Detection of Rift Valley fever viral activity in Kenya by satellite remote sensing imageryQ40798660
Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission.Q44170591
Assessment of a remote sensing-based model for predicting malaria transmission risk in villages of Chiapas, MexicoQ44174748
Manual on environmental management for mosquito control with special emphasis on malaria vectorsQ72542895
P433issue1
P407language of work or nameEnglishQ1860
P921main subjecthydrologyQ42250
infectious diseaseQ18123741
P304page(s)6-13
P577publication date2002-01-01
P1433published inEmerging Infectious DiseasesQ5235761
P1476titleUsing a dynamic hydrology model to predict mosquito abundances in flood and swamp water
P478volume8

Reverse relations

cites work (P2860)
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