A framework for the early detection and prediction of dengue outbreaks in the Republic of Panama
The dengue virus (DENV) is endemic in most tropical regions of Central and South America. It is known that when the number of mosquito vectors (Aedes aegypti and Aedes albopictus) for this disease becomes abundant, the number of infectious cases increases. DENV has been known to be continuously circ...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Tropical Diseases |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fitd.2024.1465856/full |
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| author | Grimaldo E. Ureña Yamilka Diaz Juan M. Pascale Sandra López-Vergès Javier E. Sanchez-Galan |
| author_facet | Grimaldo E. Ureña Yamilka Diaz Juan M. Pascale Sandra López-Vergès Javier E. Sanchez-Galan |
| author_sort | Grimaldo E. Ureña |
| collection | DOAJ |
| description | The dengue virus (DENV) is endemic in most tropical regions of Central and South America. It is known that when the number of mosquito vectors (Aedes aegypti and Aedes albopictus) for this disease becomes abundant, the number of infectious cases increases. DENV has been known to be continuously circulating in Panama since 1993, with an increasing number of cases reported in recent years after the COVID-19 pandemic, as well as other vector-borne diseases. Preventing dengue outbreaks by having an early detection system is of the utmost importance. To tackle this task, we propose an overall surveillance system framework tailored to the Panamanian situation but applicable to many countries suffering the same maladies. This manuscript presents a transdisciplinary vision that encompasses aspects of sample management, vector surveillance, sharing of weather information, and georeferencing of cases in a Geographic Information System and defining data-driven software solutions for prediction of possible outbreaks. |
| format | Article |
| id | doaj-art-0a99c82bcc43467eb0f44e07468f9f7f |
| institution | Kabale University |
| issn | 2673-7515 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Tropical Diseases |
| spelling | doaj-art-0a99c82bcc43467eb0f44e07468f9f7f2025-01-27T06:41:06ZengFrontiers Media S.A.Frontiers in Tropical Diseases2673-75152025-01-01510.3389/fitd.2024.14658561465856A framework for the early detection and prediction of dengue outbreaks in the Republic of PanamaGrimaldo E. Ureña0Yamilka Diaz1Juan M. Pascale2Sandra López-Vergès3Javier E. Sanchez-Galan4Dirección de Investigación, Universidad Tecnológica de Panamá, Panamá, PanamaDepartment of Research in Virology and Biotechnology, Gorgas Memorial Institute of Health Studies, Panamá, PanamaDepartment of Research in Virology and Biotechnology, Gorgas Memorial Institute of Health Studies, Panamá, PanamaDepartment of Research in Virology and Biotechnology, Gorgas Memorial Institute of Health Studies, Panamá, PanamaFacultad de Ingenieria de Sistemas Computacionales, Universidad Tecnológica de Panamá, Panamá, PanamaThe dengue virus (DENV) is endemic in most tropical regions of Central and South America. It is known that when the number of mosquito vectors (Aedes aegypti and Aedes albopictus) for this disease becomes abundant, the number of infectious cases increases. DENV has been known to be continuously circulating in Panama since 1993, with an increasing number of cases reported in recent years after the COVID-19 pandemic, as well as other vector-borne diseases. Preventing dengue outbreaks by having an early detection system is of the utmost importance. To tackle this task, we propose an overall surveillance system framework tailored to the Panamanian situation but applicable to many countries suffering the same maladies. This manuscript presents a transdisciplinary vision that encompasses aspects of sample management, vector surveillance, sharing of weather information, and georeferencing of cases in a Geographic Information System and defining data-driven software solutions for prediction of possible outbreaks.https://www.frontiersin.org/articles/10.3389/fitd.2024.1465856/fulldengue virusarbovirusepidemiological surveillanceoutbreakone healthmosquito vectors |
| spellingShingle | Grimaldo E. Ureña Yamilka Diaz Juan M. Pascale Sandra López-Vergès Javier E. Sanchez-Galan A framework for the early detection and prediction of dengue outbreaks in the Republic of Panama Frontiers in Tropical Diseases dengue virus arbovirus epidemiological surveillance outbreak one health mosquito vectors |
| title | A framework for the early detection and prediction of dengue outbreaks in the Republic of Panama |
| title_full | A framework for the early detection and prediction of dengue outbreaks in the Republic of Panama |
| title_fullStr | A framework for the early detection and prediction of dengue outbreaks in the Republic of Panama |
| title_full_unstemmed | A framework for the early detection and prediction of dengue outbreaks in the Republic of Panama |
| title_short | A framework for the early detection and prediction of dengue outbreaks in the Republic of Panama |
| title_sort | framework for the early detection and prediction of dengue outbreaks in the republic of panama |
| topic | dengue virus arbovirus epidemiological surveillance outbreak one health mosquito vectors |
| url | https://www.frontiersin.org/articles/10.3389/fitd.2024.1465856/full |
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