دورية أكاديمية
Geographical information system (GIS) modeling territory receptivity to strengthen entomological surveillance: Anopheles (Nyssorhynchus) case study in Rio de Janeiro State, Brazil.
| العنوان: | Geographical information system (GIS) modeling territory receptivity to strengthen entomological surveillance: Anopheles (Nyssorhynchus) case study in Rio de Janeiro State, Brazil. |
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| المؤلفون: | Albuquerque HG; Laboratório de Doenças Parasitárias, Fiocruz, Av. Brasil, 4365 Manguinhos, Rio de Janeiro, RJ, 21040-360, Brazil. hermanofio@gmail.com.; Laboratório de Monitoramento Epidemiológico de Grandes Empreendimentos, Fiocruz, Av. Brasil, 4365 Manguinhos, Rio de Janeiro, RJ, 21040-360, Brazil. hermanofio@gmail.com., Peiter PC; Laboratório de Doenças Parasitárias, Fiocruz, Av. Brasil, 4365 Manguinhos, Rio de Janeiro, RJ, 21040-360, Brazil., Toledo LM; Laboratório de Monitoramento Epidemiológico de Grandes Empreendimentos, Fiocruz, Av. Brasil, 4365 Manguinhos, Rio de Janeiro, RJ, 21040-360, Brazil., Alencar JAF; Laboratório de Diptera, Fiocruz, Av. Brasil, 4365 Manguinhos, Rio de Janeiro, RJ, 21040-360, Brazil., Sabroza PC; Laboratório de Monitoramento Epidemiológico de Grandes Empreendimentos, Fiocruz, Av. Brasil, 4365 Manguinhos, Rio de Janeiro, RJ, 21040-360, Brazil., Dias CG; Secretaria de Estado de Saúde do Rio de Janeiro, R. México, 128 Centro, Rio de Janeiro, RJ, 20031-142, Brazil., Santos JPC; Laboratório de Monitoramento Epidemiológico de Grandes Empreendimentos, Fiocruz, Av. Brasil, 4365 Manguinhos, Rio de Janeiro, RJ, 21040-360, Brazil., Suárez-Mutis MC; Laboratório de Doenças Parasitárias, Fiocruz, Av. Brasil, 4365 Manguinhos, Rio de Janeiro, RJ, 21040-360, Brazil. |
| المصدر: | Parasites & vectors [Parasit Vectors] 2018 Apr 19; Vol. 11 (1), pp. 256. Date of Electronic Publication: 2018 Apr 19. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: BioMed Central Country of Publication: England NLM ID: 101462774 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-3305 (Electronic) Linking ISSN: 17563305 NLM ISO Abbreviation: Parasit Vectors Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : BioMed Central |
| مواضيع طبية MeSH: | Animal Distribution* , Geographic Information Systems* , Topography, Medical*, Anopheles/*growth & development , Malaria/*transmission , Mosquito Vectors/*growth & development, Animals ; Brazil ; Epidemiological Monitoring ; Humans ; Malaria/epidemiology ; Spatial Analysis |
| مستخلص: | Background: Extra-Amazonian malaria mortality is 60 times higher than the Amazon malaria mortality. Imported cases correspond to approximately 90% of extra-Amazonian cases. Imported malaria could be a major problem if it occurs in areas with receptivity, because it can favor the occurrence of outbreaks or reintroductions of malaria in those areas. This study aimed to model territorial receptivity for malaria to serve as an entomological surveillance tool in the State of Rio de Janeiro, Brazil. Geomorphology, rainfall, temperature, and vegetation layers were used in the AHP process for the receptivity stratification of Rio de Janeiro State territory. Results: The model predicted five receptivity classes: very low, low, medium, high and very high. The 'very high' class is the most important in the receptivity model, corresponding to areas with optimal environmental and climatological conditions to provide suitable larval habitats for Anopheles (Nyssorhynchus) vectors. This receptivity class covered 497.14 km 2 or 1.18% of the state's area. The 'high' class covered the largest area, 17,557.98 km 2 , or 41.62% of the area of Rio de Janeiro State. Conclusions: We used freely available databases for modeling the distribution of receptive areas for malaria transmission in the State of Rio de Janeiro. This was a new and low-cost approach to support entomological surveillance efforts. Health workers in 'very high' and 'high' receptivity areas should be prepared to diagnose all febrile individuals and determine the cause of the fever, including malaria. Each malaria case must be treated and epidemiological studies must be conducted to prevent the reintroduction of the disease. |
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| فهرسة مساهمة: | Keywords: Anopheles; GIS; Geoprocessing; Malaria; Receptivity; Surveillance; Vector |
| تواريخ الأحداث: | Date Created: 20180421 Date Completed: 20180925 Latest Revision: 20181114 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC5907705 |
| DOI: | 10.1186/s13071-018-2844-2 |
| PMID: | 29673392 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1756-3305 |
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| DOI: | 10.1186/s13071-018-2844-2 |