Decision-making methodology in the outbreak OK vectors transmitting tropical diseases, using heterogeneous geospatial information
- Lucas Herrera,
- Wilver Auccahuasi(corresponding author),
- Karin Rojas,
- ,
- Ena Cuba,
- Edward Flores
- Universidad Continental, Huancayo,
- Universidad Privada del Norte,
- Universidad Nacional Federico Villarreal,
- Universidad César Vallejo,
- Universidad Tecnológica del Perú
Open access
Publication Information
Output type
Original language
EnglishArticle number
050004Publication milestones
- Published - 04/04/2023
Publication status
Publisher
American Institute of Physics Inc.Publication series
- Publication series name: AIP Conference Proceedings
ISSN (Print): 0094-243X
ISSN (Electronic): 1551-7616
Volume: 2725
ISBN (Electronic)
9780735444072Publication IDs
- Scopus: 85152779828
Host publication title
2nd International Conference on Circuits, Signals, Systems and Securities, ICCSSS 2022Host publication editors
- R. Harikumar
- C. Ganesh Babu
- C. Poongodi
Abstract
The analysis and processing of data is important in different areas, and we must pay more attention when it comes to the health of people, in the development of the protocol to prevent the outbreak of vectors transmitting tropical diseases with an emphasis on the mosquito "AedesAegypti ", being able to control its reproduction is of vital importance, and is one of the objectives of the protocol, understanding the reproduction times corresponds to the times where we must take necessary actions to be able to cut its reproduction cycle, within the mechanisms Technological we indicate the use of meteorological information to be able to analyze and predict the favorable conditions so that the mosquito can reproduce, added to the valuable information provided by earth observation satellites, in their access to satellite images, which will provide us with Current images of the area of interest, for rapid detection of bodies of water that will be the future nests of the mosquitoes, the heterogeneous processing is characterized by the analysis of the meteorological data in the CPU and the processing of the satellite images in the GPU both running in parallel processes in the same computer, with which we optimize the use of resources available in applications dedicated to health care.
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Sustainable Development Goals
- SDG 3 Good Health and Well
