Morbidity rate prediction of dengue hemorrhagic fever (DHF) using the support vector machine and the Aedes aegypti infection rate in similar climates and geographical areas

PLoS ONE

Volumn 10, Issue 5, 2015, Pages

  Kesorn, Kraisak ^a   Ongruk, Phatsavee ^a   Chompoosri, Jakkrawarn ^b   Phumee, Atchara ^c   Thavara, Usavadee ^b   Tawatsin, Apiwat ^b   Siriyasatien, Padet ^c,d  

^a NARESUAN UNIVERSITY   (Thailand)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c CHULALONGKORN UNIVERSITY   (Thailand)

^d KING CHULALONGKORN MEMORIAL HOSPITAL   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AEDES AEGYPTI; ARTICLE; BIOGEOGRAPHIC REGION; CLIMATE; DENGUE; DISEASE CONTROL; DISEASE SURVEILLANCE; FEMALE; GEOGRAPHIC DISTRIBUTION; HUMAN; INCIDENCE; INFECTION RATE; INTERMETHOD COMPARISON; KERNEL METHOD; LARVA; MALE; MORBIDITY; NONHUMAN; PREDICTION AND FORECASTING; PROCESS OPTIMIZATION; QUALITY CONTROL; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; THAILAND; AEDES; ALGORITHM; ANIMAL; DENGUE VIRUS; ENVIRONMENT; INSECT VECTOR; REPRODUCIBILITY; SEVERE DENGUE; THEORETICAL MODEL; TRANSMISSION; VIROLOGY;

AEDES AEGYPTI;

AEDES; ALGORITHMS; ANIMALS; CLIMATE; DENGUE VIRUS; ENVIRONMENT; FEMALE; HUMANS; INCIDENCE; INSECT VECTORS; MALE; MODELS, THEORETICAL; MORBIDITY; REPRODUCIBILITY OF RESULTS; SEVERE DENGUE; SUPPORT VECTOR MACHINE; THAILAND;

EID: 84930620235     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0125049     Document Type: Article

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