Predictability of epidemic malaria under non-stationary conditions with process-based models combining epidemiological updates and climate variability

Malaria Journal

Volumn 14, Issue 1, 2015, Pages

  Roy, Manojit ^a   Bouma, Menno ^b,c   Dhiman, Ramesh C ^d   Pascual, Mercedes ^a,e  

^a UNIVERSITY OF MICHIGAN   (United States)

^b LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^c Institut Catala de Sciencies Del Clima   (Spain)

^d NATIONAL INSTITUTE OF MALARIA RESEARCH   (India)

^e UNIVERSITY OF CHICAGO   (United States)

Author keywords

Epidemic malaria; Forecasting; India; Prediction skill; Transmission model

Indexed keywords

RAIN;

ARTICLE; BARMER MODEL; BIKANER MODEL; CLIMATE CHANGE; CLINICAL EFFECTIVENESS; CONTROLLED STUDY; DISEASE SURVEILLANCE; DISEASE TRANSMISSION; EPIDEMIC; EPIDEMIOLOGICAL DATA; HUMAN; INCIDENCE; JAISALMER MODEL; KUTCH MODEL; MALARIA FALCIPARUM; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; NONHUMAN; PLASMODIUM VIVAX MALARIA; PREDICTION; RETROSPECTIVE STUDY; TREND STUDY; CLIMATE; EPIDEMIOLOGY; INDIA; MALARIA, FALCIPARUM; MALARIA, VIVAX; STATISTICAL MODEL; TRANSMISSION;

CLIMATE; EPIDEMICS; EPIDEMIOLOGIC METHODS; INCIDENCE; INDIA; MALARIA, FALCIPARUM; MALARIA, VIVAX; MODELS, STATISTICAL; RETROSPECTIVE STUDIES;

EID: 84945940977     PISSN: None     EISSN: 14752875     Source Type: Journal    
DOI: 10.1186/s12936-015-0937-3     Document Type: Article

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