Spatial variation and socio-economic determinants of Plasmodium falciparum infection in northeastern Tanzania

Malaria Journal

Research

Thor G Theander¹  Thomas H Scheike²  John P Lusingu³  Mathias L Kamugisha³  Filbert Francis³  Bruno P Mmbando³  Martha M Lemnge³  Deus S Ishengoma³ 

[1] Centre for Medical Parasitology, Institute for Medical Microbiology and Immunology, University of Copenhagen, Denmark;Department of Biostatistics, University of Copenhagen, Denmark;National Institute for Medical Research, Tanga Centre, Tanzania;

关键词: Malaria;    Malaria Transmission;    Spatial Effect;    Generalize Estimate Equation;    Demographic Surveillance System;   

DOI  :  10.1186/1475-2875-10-145

 received in 2011-02-23, accepted in 2011-05-25,  发布年份 2011

来源: Springer

【 摘 要 】

BackgroundMalaria due to Plasmodium falciparum is the leading cause of morbidity and mortality in Tanzania. According to health statistics, malaria accounts for about 30% and 15% of hospital admissions and deaths, respectively. The risk of P. falciparum infection varies across the country. This study describes the spatial variation and socio-economic determinants of P. falciparum infection in northeastern Tanzania.MethodsThe study was conducted in 14 villages located in highland, lowland and urban areas of Korogwe district. Four cross-sectional malaria surveys involving individuals aged 0-19 years were conducted during short (Nov-Dec) and long (May-Jun) rainy seasons from November 2005 to June 2007. Household socio-economic status (SES) data were collected between Jan-April 2006 and household's geographical positions were collected using hand-held geographical positioning system (GPS) unit. The effects of risk factors were determined using generalized estimating equation and spatial risk of P. falciparum infection was modelled using a kernel (non-parametric) method.ResultsThere was a significant spatial variation of P. falciparum infection, and urban areas were at lower risk. Adjusting for covariates, high risk of P. falciparum infection was identified in rural areas of lowland and highland. Bed net coverage levels were independently associated with reduced risk of P. falciparum by 19.1% (95%CI: 8.9-28.2, p < 0.001) and by 39.3% (95%CI: 28.9-48.2, p < 0.001) in households with low and high coverage, respectively, compared to those without bed nets. Households with moderate and lower SES had risk of infection higher than 60% compared to those with higher SES; while inhabitants of houses built of mud walls were at 15.5% (95%CI: 0.1 - 33.3, p < 0.048) higher risk compared to those living in houses built by bricks. Individuals in houses with thatched roof had an excess risk of 17.3% (95%CI: 4.1 - 32.2, p < 0.009) compared to those living in houses roofed with iron sheet.ConclusionsThere was high spatial variation of risk of P. falciparum infection and urban area was at the lowest risk. High bed net coverage, better SES and good housing were among the important risk factors associated with low risk of P. falciparum infection.

【 授权许可】

CC BY   
© Mmbando et al; licensee BioMed Central Ltd. 2011