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Artículo en Chino | MEDLINE | ID: mdl-23687805

RESUMEN

OBJECTIVE: To clarify the role of socio-economy and management in the sustainable schistosomiasis-control in Taoyuan County, an endemic area in hilly region, Hunan Province, China. METHODS: From 1996 to 2011, the data of socio-economy, the management of schistosomiasis control organizations, environment, and the changes in schistosomiasis prevalence were collected in Taoyuan County where schistosomiasis transmission had been controlled since 2008. A sampling survey of schistosomiasis prevalence of human and bovine was performed in 2011 to verify the current status of schistosomiasis transmission. All the data were analyzed statistically to evaluate the role of socio-economy and management in the sustainable schistosomiasis control. RESULTS: During the period from 1998 to 2012, the socio-economy including the residents' productive mode and daily life in Taoyuan County improved dramatically, but the recurrence risk of schistosomiasis endemic still existed due to the retuning of out-going workers and the migrating population. Moreover, the introduction of exotic species of plants and animals may increase the risk. The low running cost of schistosomiasis control organization as well as the efficient and adequate resource allocation in the county was in line with the national requirement to strengthen the rural grass-roots public health system. CONCLUSION: The harmonious development of socio-economy and the scientific and efficient health system in Taoyuan County are the key factors for the sustainable transmission control of schistosomiasis.


Asunto(s)
Control de Enfermedades Transmisibles/métodos , Desarrollo Económico/estadística & datos numéricos , Administración en Salud Pública/estadística & datos numéricos , Esquistosomiasis/prevención & control , Esquistosomiasis/transmisión , Adolescente , Animales , Bovinos , Niño , China , Enfermedades Endémicas/prevención & control , Conocimientos, Actitudes y Práctica en Salud , Humanos , Población Rural/estadística & datos numéricos , Esquistosomiasis/epidemiología
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