Geographic viewer for monitoring dengue cases in the City of Puerto Maldonado, Peru
DOI:
https://doi.org/10.55873/rad.v1i2.193Keywords:
heat map, dengue, geospatial data, geographic viewerAbstract
Dengue is a disease transmitted by the bite of the infected Aedes Aegypti mosquito, found in semi-urban and urban areas with poor basic sanitation. In the world, there are millions of cases that are registered annually in tropical and subtropical countries, proving to be a great threat to the health of the human south. Dengue in our country is found with a higher proportion in Amazonian departments such as Loreto, Madre de Dios and Ucayali. The objective of this article is to implement a geographic viewer to improve the monitoring of dengue cases in the City of Puerto Maldonado-Peru, its development was based on PostgreSQL database and its geospatial complement PostGis, the publication of geospatial data through Geoserver and the presentation with Leaflet. Finally, the application shows a heat map, identifying areas with the highest incidence of dengue, improving case monitoring and planning with prevention campaigns.
Downloads
References
America Noticias. (2018). Madre de Dios: declaran emergencia sanitaria por riesgo elevado de dengue. https://www.americatv.com.pe/noticias/actualidad/madre-dios-declaran-emergencia-sanitaria-riesgo-elevado-dengue-n345614
Arévalo-Maldonado, E. X. (2020). Geoportales históricos como medios de difusión cultural. Universitas, 33, 39–60. https://doi.org/10.17163/uni.n33.2020.02
Ascuntar, J., & Jaimes, F. (2016). Ronda clínica y epidemiológica : sistemas de información geográfica (SIG) en salud. IATREIA, 29(1), 97–103. https://doi.org/10.17533/udea.iatreia.v29n1a10.97
Castrillón, J. C., Castaño, J. C., & Urcuqui, S. (2015). Dengue en Colombia: diez años de evolución. Revista Chilena de Infectología, 32(2), 142–149. https://doi.org/10.4067/S0716-10182015000300002
Chiquete Félix, N., & Uribe-Álvarez, C. (2017). Revista de la Facultad de Medicina, Universidad Nacional Autónoma de México. In Revista de la Facultad de Medicina (México) (Vol. 60, Issue 6). Universidad Nacional Autónoma de México, Facultad de Medicina. http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0026-17422017000600051&lng=es&nrm=iso&tlng=es
Diouf, G., Seck, M. T., Ciss, M., Faye, B., Biteye, B., Bakhoum, M. T., & Fall, A. G. (2021). Improving the efficiency of the BG sentinel 2 trap to assess the activity of Aedes (Stegomyia) aegypti [Linnaeus, 1762] in Senegal. Acta Tropica, 222, 106065. https://doi.org/10.1016/J.ACTATROPICA.2021.106065
Enríquez-Mamani, V., Bolívar-Espinoza, N., Gallegos-Ramos, J. R., Laura-Huanca, J. C., Marín-Mamani, G., Marín-Paucara, E., Yunga-Zegarra, E., Enríquez-Mamani, V., Bolívar-Espinoza, N., Gallegos-Ramos, J. R., Laura-Huanca, J. C., Marín-Mamani, G., Marín-Paucara, E., & Yunga-Zegarra, E. (2021). Spatial analysis in the identification of COVID-19 risk areas as a tool for public management in Juliaca, Perú. Revista Científica de La UCSA, 8(2), 30–38. https://doi.org/10.18004/ucsa/2409-8752/2021.008.02.030
Gaytán-Lugo, M. S., Farías-Mendoza, N., Chávez-Valdez, R. E., Cervantes-Zambrano, F., Gaytán-Lugo, M. S., Farías-Mendoza, N., Chávez-Valdez, R. E., & Cervantes-Zambrano, F. (2020). Diseño e Implementación de un Geoportal Catastral para Visualización de Cartografía e Integración de Servicios Geoespaciales. RIIIT. Revista Internacional de Investigación e Innovación Tecnológica, 8(45), 20–39. http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S2007-97532020000400002&lng=es&nrm=iso&tlng=es
Londoño, L. A., Restrepo, C., & Marulanda, E. (2014). Distribución espacial del dengue basado en herramientas del Sistema de Información Geográfica. Revista Facultad Nacional Salud Pública, 31, 7–15.
Martí Ciriquián, P., Garcia-Mayor, C., Martí-Ciriquián, P., & García-Mayor, C. (2018). Frentes marítimo-fluviales en ciudades españolas: nuevos espacios urbanos. Bitácora Urbano Territorial, 28(3), 71–79. https://doi.org/10.15446/bitacora.v28n3.72186
Navarro, J. C. (2019). Infraestructura de Datos Espaciales para el Catastro Agrícola - Forestal en el Gobierno Regional Madre de Dios [Universidad Nacional de San Agustín de Arequipa]. http://repositorio.unsa.edu.pe/bitstream/handle/20.500.12773/11407/UPnavejc.pdf?sequence=1&isAllowed=y
Navarro Vega, J. C., & Castro-Gutierrez, E. (2019). Framework de Datos Geoespaciales para el Catastro Rural-Forestal de Regiones Selváticas. Caso: Gobierno Regional Madre De Dios, Perú. Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation, and Infrastructure for Sustainable Cities and Communities.” https://doi.org/10.18687/LACCEI2019.1.1.102
OMS. (2019). Dengue y dengue grave. https://www.who.int/es/news-room/fact-sheets/detail/dengue-and-severe-dengue
OMS. (2020). Enfermedades transmitidas por vectores. Revista Cientifica. https://www.who.int/es/news-room/fact-sheets/detail/vector-borne-diseases
Rizwan, M., Dass, S. C., Asirvadam, V. S., Gill, B. S., & Sulaiman, L. H. (2018). DenMap: A Dengue Surveillance System for Malaysia. Journal of Physics: Conference Series, 1123, 012045. https://doi.org/10.1088/1742-6596/1123/1/012045
Valayer, C., Schade, S., Hernandez, L., Tsinaraki, C., Pignatelli, F., & Boguslawski, R. (2022). Benchmarking the role of the public sector and location intelligence in smart spaces. Publications Office of the European Union. https://doi.org/doi/10.2760/51828
Yamashita, A., Sakamoto, T., Sekizuka, T., Kato, K., Takasaki, T., & Kuroda, M. (2016). DGV: Dengue Genographic Viewer. Frontiers in Microbiology, 7. https://doi.org/10.3389/fmicb.2016.00875
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Jose Carlos Navarro-Vega, Ralph Miranda-Castillo, Ronald Quispe-Flores
This work is licensed under a Creative Commons Attribution 4.0 International License.
