Antonio Montresor1, Natacha À Porta2, Marco Albonico3, Albis Francesco Gabrielli2, Dina Jankovic4, Christopher Fitzpatrick2, Jozef Vercruysse5, Bruno Levecke5. 1. Department of Control of Neglected Tropical Diseases, World Health Organization, 20 Av Appia, Geneva 1211, Switzerland montresora@who.int. 2. Department of Control of Neglected Tropical Diseases, World Health Organization, 20 Av Appia, Geneva 1211, Switzerland. 3. Ivo de Carneri Fondation, Milan, Italy. 4. Centre for Health Economics, University of York, York, UK. 5. Department of Virology, Parasitology and Immunology, Ghent University, Faculty of Veterinary Medicine, Merelbeke, Belgium.
Abstract
BACKGROUND: Recently, WHO has developed a predictive model to evaluate the impact of preventive chemotherapy programs to control the morbidity of soil-transmitted helminths (STHs). To make predictions, this model needs baseline information about the proportion of infections classified as low, moderate and high intensity, for each of the three STH species. However, epidemiological data available are often limited to prevalence estimates. METHODS: We reanalyzed available data from 19 surveys in 10 countries and parameterized the relationship between prevalence of STH infections and the proportion of moderate and heavy intensity infections. RESULTS: The equations derived allow feeding the WHO model with estimates of the proportion of the different classes of infection intensity when only prevalence data is available. CONCLUSIONS: The prediction capacities of the STH model using the equations developed in the present study, should be tested by comparing it with the changes on STH epidemiological data observed in control programs operating for several years.
BACKGROUND: Recently, WHO has developed a predictive model to evaluate the impact of preventive chemotherapy programs to control the morbidity of soil-transmitted helminths (STHs). To make predictions, this model needs baseline information about the proportion of infections classified as low, moderate and high intensity, for each of the three STH species. However, epidemiological data available are often limited to prevalence estimates. METHODS: We reanalyzed available data from 19 surveys in 10 countries and parameterized the relationship between prevalence of STH infections and the proportion of moderate and heavy intensity infections. RESULTS: The equations derived allow feeding the WHO model with estimates of the proportion of the different classes of infection intensity when only prevalence data is available. CONCLUSIONS: The prediction capacities of the STH model using the equations developed in the present study, should be tested by comparing it with the changes on STH epidemiological data observed in control programs operating for several years.
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Authors: Layla S Mofid; Martín Casapía; Eder Aguilar; Hermánn Silva; Antonio Montresor; Elham Rahme; William D Fraser; Grace S Marquis; Jozef Vercruysse; Lindsay H Allen; Brittany Blouin; Hugo Razuri; Lidsky Pezo; Theresa W Gyorkos Journal: PLoS Negl Trop Dis Date: 2017-01-05
Authors: Antonio Montresor; David Addiss; Marco Albonico; Said Mohammed Ali; Steven K Ault; Albis-Francesco Gabrielli; Amadou Garba; Elkhan Gasimov; Theresa Gyorkos; Mohamed Ahmed Jamsheed; Bruno Levecke; Pamela Mbabazi; Denise Mupfasoni; Lorenzo Savioli; Jozef Vercruysse; Aya Yajima Journal: PLoS Negl Trop Dis Date: 2015-10-22