Preliminary analysis of socioeconomic variable correlation with geospatial modeling in Costa Rica dengue epidemics
Dengue is a mosquito-transmitted disease that affects more than 5 million people worldwide. It is endemic in more than 100 countries and it has presence in 5 continents. Understanding the dynamics of dengue epidemics is crucial in reducing the massive public health impact this disease has. Howeve...
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| Format: | Article |
| Language: | English |
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Instituto Tecnológico de Costa Rica
2024-09-01
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| Series: | Tecnología en Marcha |
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| Online Access: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/7292 |
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| author | Cristina Soto-Rojas Cesar Garita Mariela Abdalah Juan Gabriel Calvo Fabio Sanchez Esteban Meneses |
| author_facet | Cristina Soto-Rojas Cesar Garita Mariela Abdalah Juan Gabriel Calvo Fabio Sanchez Esteban Meneses |
| author_sort | Cristina Soto-Rojas |
| collection | DOAJ |
| description | Dengue is a mosquito-transmitted disease that affects more than 5 million people worldwide.
It is endemic in more than 100 countries and it has presence in 5 continents. Understanding
the dynamics of dengue epidemics is crucial in reducing the massive public health impact
this disease has. However, dengue is a complex phenomenon. There are many variables that
contribute to the spread of the virus and the interconnection of those variables is not clear. We
set out to explore the correlation of socioeconomic variables in dengue epidemics by using a
geospatial model. Our study is centered in Costa Rica, a country with a repeated affectation
by the virus. We found a possible relationship between number of dengue cases and some
socioeconomic variables (dwellings with water pipes, location of work), which open the gates to
consider including them in a more sophisticated epidemiological model. |
| format | Article |
| id | doaj-art-909507747eee45b19ae9d9fb5d4add9f |
| institution | DOAJ |
| issn | 0379-3982 2215-3241 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Instituto Tecnológico de Costa Rica |
| record_format | Article |
| series | Tecnología en Marcha |
| spelling | doaj-art-909507747eee45b19ae9d9fb5d4add9f2025-08-20T03:18:56ZengInstituto Tecnológico de Costa RicaTecnología en Marcha0379-39822215-32412024-09-01ág 112110.18845/tm.v37i7.72926578Preliminary analysis of socioeconomic variable correlation with geospatial modeling in Costa Rica dengue epidemicsCristina Soto-Rojas0https://orcid.org/0000-0001-9180-1628Cesar Garita1https://orcid.org/0000-0003-4592-3266Mariela Abdalah2https://orcid.org/0000-0002-9790-2689Juan Gabriel Calvo3https://orcid.org/0000-0001-9948-9966Fabio Sanchez4https://orcid.org/0000-0002-5552-3672Esteban Meneses5https://orcid.org/0000-0002-4307-6000National High Technology Center and Costa Rica Institute of TechnologyCosta Rica Institute of TechnologyNational High Technology Center and Costa Rica Institute of TechnologyUniversity of Costa Rica. Costa RicaUniversity of Costa RicaNational High Technology Center and Costa Rica Institute of TechnologyDengue is a mosquito-transmitted disease that affects more than 5 million people worldwide. It is endemic in more than 100 countries and it has presence in 5 continents. Understanding the dynamics of dengue epidemics is crucial in reducing the massive public health impact this disease has. However, dengue is a complex phenomenon. There are many variables that contribute to the spread of the virus and the interconnection of those variables is not clear. We set out to explore the correlation of socioeconomic variables in dengue epidemics by using a geospatial model. Our study is centered in Costa Rica, a country with a repeated affectation by the virus. We found a possible relationship between number of dengue cases and some socioeconomic variables (dwellings with water pipes, location of work), which open the gates to consider including them in a more sophisticated epidemiological model.https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/7292geospatial modelingdata sciencedengue epidemics |
| spellingShingle | Cristina Soto-Rojas Cesar Garita Mariela Abdalah Juan Gabriel Calvo Fabio Sanchez Esteban Meneses Preliminary analysis of socioeconomic variable correlation with geospatial modeling in Costa Rica dengue epidemics Tecnología en Marcha geospatial modeling data science dengue epidemics |
| title | Preliminary analysis of socioeconomic variable correlation with geospatial modeling in Costa Rica dengue epidemics |
| title_full | Preliminary analysis of socioeconomic variable correlation with geospatial modeling in Costa Rica dengue epidemics |
| title_fullStr | Preliminary analysis of socioeconomic variable correlation with geospatial modeling in Costa Rica dengue epidemics |
| title_full_unstemmed | Preliminary analysis of socioeconomic variable correlation with geospatial modeling in Costa Rica dengue epidemics |
| title_short | Preliminary analysis of socioeconomic variable correlation with geospatial modeling in Costa Rica dengue epidemics |
| title_sort | preliminary analysis of socioeconomic variable correlation with geospatial modeling in costa rica dengue epidemics |
| topic | geospatial modeling data science dengue epidemics |
| url | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/7292 |
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