Preliminary analysis of socioeconomic variable correlation with geospatial modeling in Costa Rica dengue epidemics

 

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون: Soto-Rojas, Cristina, Garita, Cesar, Abdalah, Mariela, Calvo, Juan Gabriel, Sanchez, Fabio, Meneses, Esteban
التنسيق: artículo original
الحالة:Versión publicada
تاريخ النشر:2024
الوصف: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.
البلد:Portal de Revistas TEC
المؤسسة:Instituto Tecnológico de Costa Rica
Repositorio:Portal de Revistas TEC
اللغة:Inglés
OAI Identifier:oai:ojs.pkp.sfu.ca:article/7292
الوصول للمادة أونلاين:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/7292
كلمة مفتاحية:Geospatial modeling
data science
dengue epidemics
Modelado geoespacial
ciencia de datos
epidemia de dengue