Quantifying aggregated uncertainty in Plasmodium falciparum malaria prevalence and populations at risk via efficient space-time geostatistical joint simulation

PLoS Computational Biology

Volumn 6, Issue 4, 2010, Pages

  Gething, Peter W ^a   Patil, Anand P ^a   Hay, Simon I ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; HEALTH RISKS; MAPPING; RISK ASSESSMENT; RISK PERCEPTION; UNCERTAINTY ANALYSIS;

DECISION MAKERS; FALCIPARUM MALARIA; GEOSTATISTICAL; GLOBAL SCALE; INFECTIOUS DISEASE; JOINT SIMULATION; MODEL-BASED GEOSTATISTICS; PLASMODIUM FALCIPARUM; SPACETIME; UNCERTAINTY;

MAPS;

ALGORITHM; ARTICLE; COMPUTER PREDICTION; COMPUTER SIMULATION; ENDEMIC DISEASE; GEOGRAPHIC DISTRIBUTION; GEOSTATISTICAL ANALYSIS; HEALTH CARE PLANNING; HIGH RISK POPULATION; INFECTION RATE; MALARIA FALCIPARUM; PARASITE PREVALENCE; PARASITE TRANSMISSION; PUBLIC HEALTH; BIOLOGICAL MODEL; BIOLOGY; HUMAN; METHODOLOGY; PLASMODIUM FALCIPARUM; PREVALENCE; REPRODUCIBILITY; RISK; TOPOGRAPHY;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; HUMANS; MALARIA, FALCIPARUM; MODELS, BIOLOGICAL; PLASMODIUM FALCIPARUM; PREVALENCE; REPRODUCIBILITY OF RESULTS; RISK; TOPOGRAPHY, MEDICAL;

EID: 77954612924     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000724     Document Type: Article

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