SPATIAL PATTERNS OF URINARY SCHISTOSOMIASIS INFECTION IN A HIGHLY ENDEMIC AREA OF COASTAL KENYA
| Autor: | Peter Mungai, John H. Ouma, H. Curtis Kariuki, Julie A. Clennon, Eric M. Muchiri, Charles H. King, Uriel Kitron |
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| Rok vydání: | 2004 |
| Předmět: |
Schistosoma haematobium
biology Ecology Schistosomiasis Snail biology.organism_classification medicine.disease law.invention Infectious Diseases Transmission (mechanics) law Virology Environmental health biology.animal parasitic diseases Spatial ecology medicine Parasitology Trematoda Spatial analysis Disease burden |
| Zdroj: | The American Journal of Tropical Medicine and Hygiene. 70:443-448 |
| ISSN: | 1476-1645 0002-9637 |
| DOI: | 10.4269/ajtmh.2004.70.443 |
| Popis: | Urinary schistosomiasis remains a major contributor to the disease burden along the southern coast of Kenya. Selective identification of transmission hot spots offers the potential for more effective, highly-focal snail control and human chemotherapy to reduce Schistosoma haematobium transmission. In the present study, a geographic information system was used to integrate demographic, parasitologic, and household location data for an endemic village and neighboring households with the biotic, abiotic, and location data for snail collection/water contact sites. A global spatial statistic was used to detect area-wide trends of clustering for human infection at the household level. Local spatial statistics were then applied to detect specific household clusters of infection, and, as a focal spatial statistic, to evaluate clustering of infection around a putative transmission site. High infection intensities were clustered significantly around a water contact site with high numbers of snails shedding S. haematobium cercariae. When age was considered, clustering was found to be significant at different distances for different age groups. |
| Databáze: | OpenAIRE |
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