Detalhes bibliográficos
| Ano de defesa: |
2018 |
| Autor(a) principal: |
Chitolina, Pablo
 |
| Orientador(a): |
Fernandes, José Maurício Cunha
|
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade de Passo Fundo
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Computação Aplicada
|
| Departamento: |
Instituto de Ciências Exatas e Geociências – ICEG
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Área do conhecimento CNPq: |
|
| Link de acesso: |
http://tede.upf.br/jspui/handle/tede/1560
|
Resumo: |
The mosquito Aedes aegypti is capable of transmitting dengue, zika and chikungunya, diseases related to arboviruses that cause serious public health problems in Brazil. The A. aegypti mosquito originates in Africa and is now widespread in all continents. As the largest mosquito populations are found in tropical countries, the largest mosquito populations are most often found in the ocean. Attention to public health problems by the mosquito is a policy implementation tool that can help improve understanding of the mosquito situation in certain environments. This work aims to create an agent-based simulation model to simulate the proliferation of Aedes aegypti in a computational environment. Making use of weather prediction data, the model will be able to predict daily the possible variations of the mosquitoes population for a certain area. The results will be distributed on a chart through a web page and a Mobile application. Since the application will also be a tool where users can send and view information in real time about the outbreaks identified in your city. |
