Combining process-based and correlative models improves predictions of climate change effects on schistosoma mansoni transmission in eastern Africa

Geospatial Health

Volumn 11, Issue 1S, 2016, Pages

  Stensgaard, Anna Sofie ^a   Booth, Mark ^b   Nikulin, Grigory ^c   McCreesh, Nicky ^d  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b DURHAM UNIVERSITY   (United Kingdom)

^c SWEDISH METEOROLOGICAL AND HYDROLOGICAL INSTITUTE   (Sweden)

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

Author keywords

Biomphalaria; Climate change; Eastern Africa; Modelling; Schistosomiasis

Indexed keywords

AFRICA; ANIMAL; BIOMPHALARIA; CLIMATE CHANGE; ENDEMIC DISEASE; PHYSIOLOGY; SCHISTOSOMA MANSONI; SCHISTOSOMIASIS MANSONI; STATISTICAL MODEL; TRANSMISSION;

AFRICA, EASTERN; ANIMALS; BIOMPHALARIA; CLIMATE CHANGE; ENDEMIC DISEASES; MODELS, STATISTICAL; SCHISTOSOMA MANSONI; SCHISTOSOMIASIS MANSONI;

EID: 84962339901     PISSN: 18271987     EISSN: 19707096     Source Type: Journal    
DOI: 10.4081/gh.2016.406     Document Type: Article

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