A framework for predicting endemic cholera using satellite derived environmental determinants

Environmental Modelling and Software

Volumn 47, Issue , 2013, Pages 148-158

  Jutla, Antarpreet S ^a   Akanda, Ali S ^b   Islam, Shafiqul ^c  

^a West Virginia University   (United States)

^b Bldg 142   (United States)

^c Tufts University   (United States)

Author keywords

Bangladesh; CDOM; Chlorophyll; Cholera prediction; Hydrology; Remote sensing; River discharge; SeaWiFS; Vibrio cholerae

Indexed keywords

BANGLADESH; CDOM; RIVER DISCHARGE; SEAWIFS; VIBRIO CHOLERAE;

ATMOSPHERIC THERMODYNAMICS; BACTERIA; BLOOMS (METAL); CHLOROPHYLL; COASTAL ZONES; FORECASTING; HYDROLOGY; MATHEMATICAL MODELS; OCEAN HABITATS; PLANKTON; REMOTE SENSING; SATELLITES;

DISEASES;

ACCURACY ASSESSMENT; AIR TEMPERATURE; ALGAL BLOOM; BACTERIUM; BIOTYPE; CHLOROPHYLL; CHOLERA; DISEASE PREVALENCE; DISEASE SPREAD; INFECTIOUS DISEASE; PLANKTON; PREDICTION; REMOTE SENSING; RIVER DISCHARGE; SEAWIFS;

BANGLADESH; GANGES DELTA;

BACTERIA (MICROORGANISMS); VIBRIO CHOLERAE;

EID: 84879308252     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.05.008     Document Type: Article

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