Exploring clustering of leprosy in the Comoros and Madagascar: A geospatial analysis
| Autor: | Bouke C. de Jong, Zahara Salim, Randrianantoandro Andriamira, Bertrand Cauchoix, Assoumani Younoussa, Mohamed Amidy, Annemieke Geluk, Jan Hendrik Richardus, Sofie Braet, Stéphanie Ramboarina, Aboubacar Mzembaba, Tahinamandranto Rasamoelina, Nimer Ortuno-Gutierrez, Emmanuelle Cambau, Saverio Grillone, Epco Hasker, Abdallah Baco |
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| Přispěvatelé: | Public Health |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Microbiology (medical) Geospatial analysis Scan statistic 030106 microbiology Total population Infectious and parasitic diseases RC109-216 computer.software_genre Clustering Comoros 03 medical and health sciences symbols.namesake 0302 clinical medicine SDG 3 - Good Health and Well-being Leprosy medicine Madagascar Cluster Analysis Humans 030212 general & internal medicine Poisson regression Cluster analysis Spatial Analysis General Medicine Baseline survey Active case finding medicine.disease Infectious Diseases Geography Relative risk symbols computer Demography |
| Zdroj: | International Journal of Infectious Diseases, 108, 96-101. Elsevier International Journal of Infectious Diseases, Vol 108, Iss, Pp 96-101 (2021) International Journal of Infectious Diseases, 108, 96-101. ELSEVIER SCI LTD |
| ISSN: | 1878-3511 1201-9712 |
| Popis: | Objectives: To identify patterns of spatial clustering of leprosy. Design: We performed a baseline survey for a trial on post-exposure prophylaxis for leprosy in Comoros and Madagascar. We screened 64 villages, door-to-door, and recorded results of screening, demographic data and geographic coordinates. To identify clusters, we fitted a purely spatial Poisson model using Kulldorff's spatial scan statistic. We used a regular Poisson model to assess the risk of contracting leprosy at the individual level as a function of distance to the nearest known leprosy patient. Results: We identified 455 leprosy patients; 200 (4 4.0%) belonged to 2735 households included in a cluster. Thirty-eight percent of leprosy patients versus 10% of the total population live 100 m. Conclusions: We documented significant clustering of leprosy beyond household level, although 56% of cases were not part of a cluster. Control measures need to be extended beyond the household, and social networks should be further explored. (c) 2021 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-ncnd/4.0/). |
| Databáze: | OpenAIRE |
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