title: Hierarchical spatial modelling of pneumonia prevalence when response outcome has misclassification error: Applications to household data from Malawi.
abstract: Pneumonia remains a major cause of child mortality in less developed countries. However, the accuracy of its prevalence and burden remains a challenge because disease data is often based on self-reports, resulting in measurement error in a form of under- and over-reporting. We propose hierarchical disease mapping approaches that permit measurement error, through different prior distributions of sensitivity and specificity. Proposed models were used to evaluate spatial variation of risk of pneumonia in children in Malawi. Results show that the true prevalence was 0.50 (95 CI: 0.4-0.66), however, estimates were dependent on sensitivity and specificity parameters. The estimated sensitivity was 0.76 (95% CI: 0.68-0.95), whereas specificity was 0.84 (95% CI: 0.72-0.93). A lower specificity underestimated the true prevalence, while sensitivity and specificity of greater or equal to 0.75 provided reliable and stable prevalence estimates. The spatial variation in disease risk changed little; however, misclassification of areas as high risk was visible.
authors.affiliation: Department of Statistics and Population Studies, University of Namibia, Private Bag 13301 Windhoek, 340 Mandume Ndemufayo Avenue, Pionerspark, Namibia. Electronic address: lkazembe@yahoo.com.
authors.forename: Lawrence N
authors.initials: LN
authors.lastname: Kazembe
authors.affiliation: School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
authors.forename: Mphatso S
authors.initials: MS
authors.lastname: Kamndaya
mesh_terms: D001499:Bayes Theorem; D002648:Child; D003951:Diagnostic Errors / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008295:Malawi / Q000453:epidemiology; D008297:Male; D015233:Models, Statistical; D011014:Pneumonia / Q000453:epidemiology*; D015995:Prevalence; D012680:Sensitivity and Specificity; D062206:Spatial Analysis
keywords: Hierarchical spatial modelling; Malawi; Misclassification error; Pneumonia