Using structured additive regression models to estimate risk factors of malaria: Analysis of 2010 Malawi malaria indicator survey data

PLoS ONE

Volumn 9, Issue 7, 2014, Pages

  Chirombo, James ^a,b   Lowe, Rachel ^c,d   Kazembe, Lawrence ^e  

^a UNIVERSITY OF MALAWI   (Malawi)

^b UNIVERSITY OF NORTH CAROLINA PROJECT   (Malawi)

^c Institut Catalá de Ciéncies del Clima IC3   (Spain)

^d ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS   (Italy)

^e UNIVERSITY OF NAMIBIA   (Namibia)

Author keywords

[No Author keywords available]

Indexed keywords

RAIN;

ALTITUDE; ARTICLE; BAYES THEOREM; CHILD; CLIMATE CHANGE; CONTROLLED STUDY; ENVIRONMENTAL FACTOR; FEMALE; HUMAN; INFECTION RISK; LOGISTIC REGRESSION ANALYSIS; MALARIA; MALE; MONTE CARLO METHOD; PRESCHOOL CHILD; PREVALENCE; RISK FACTOR; RISK REDUCTION; SOCIOECONOMICS; SPATIAL AUTOCORRELATION ANALYSIS; STATISTICAL MODEL; STRUCTURED ADDITIVE REGRESSION MODEL; TEMPERATURE MEASUREMENT; CLIMATE; ENVIRONMENT; INFANT; INFORMATION PROCESSING; MALAWI;

BAYES THEOREM; CHILD, PRESCHOOL; CLIMATE; DATA COLLECTION; ENVIRONMENT; FEMALE; HUMANS; INFANT; LOGISTIC MODELS; MALARIA; MALAWI; MALE; MODELS, STATISTICAL; RISK FACTORS; SOCIOECONOMIC FACTORS;

EID: 84903792052     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0101116     Document Type: Article

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