NTDs mapping for effective programmes 1

Published on September 30, 2024   39 min

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0:00
Hello. My name is Prof. David Molyneux. I'm editor of the NTD HS Talks series, and I'm recording this presentation on behalf of Prof. B. E. B. Nwoke, a Professor of Public Health, Parasitology, and Entomology at the Biological Sciences Department, Imo State University, in Owerri, Nigeria. He's a member of the Mectizan Expert Committee, and Chair of the Nigerian Onchocerciasis Elimination Committee.
0:35
At the end of this talk, you should be able to understand the importance of mapping for Neglected Tropical Diseases, particularly those preventive chemotherapy NTDs which are the focus of mass drug administration. These programs have arisen from the availability of preventive chemotherapy against five diseases, which we'll discuss during this lecture. The purpose of the lecture is to enable students to understand the concept of mapping of diseases and why we map for the distribution of NTDs. For them to appreciate the diagnostic procedures that have been developed over the past two decades for these neglected diseases, and understand those procedures and guidelines and their importance in the success of the programs. This lecture will focus on three infections: onchocerciasis, loiasis, or tropical eye worm, and lymphatic filariasis.
1:36
Mapping is an activity or process of making a map, to allow the collection of data that is linked to a particular geographic location. Mapping has been used, and continues to be used, in the study of many human diseases, to ensure that those practitioners working on programs know the incidence and the prevalence of these infections. It's been a long path of public health activities, because it enables to understand the epidemiology of the diseases under study. Mapping has developed, over the recent decades, using new technologies, particularly geographical information systems and computers which allow storage of data, the capture of data, and then the analysis and presentation of data, particularly data in relation to space.

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