Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law
Introduction: Dengue is the most widespread arbovirus worldwide. In Paraguay, it reappeared in 1988-1989, with one of the largest epidemic outbreaks occurring in 2011. Objective: To evaluate the performance of the dengue epidemiological surveillance system in Paraguay between 2009 and 2011. Material...
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Instituto Nacional de Salud
2016
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| Acceso en línea: | https://repository.urosario.edu.co/handle/10336/23544 https://doi.org/10.7705/biomedica.v36i4.2731 |
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ir-10336-235442022-05-02T12:37:21Z Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law Gómez-Camponovo, Mariana Idrovo, Álvaro Javier Páez, Malvina Achkar, Marcel Moreno-Montoya, Jose Animal Animal husbandry Bovine Dengue Disease notification Epidemic Health survey Human Paraguay Population density Statistical distribution Statistics and numerical data Animal husbandry Animals Cattle Dengue Disease notification Disease outbreaks Humans Paraguay Population density Population surveillance Statistical distributions Dengue Disease notification Epidemiological surveillance Paraguay Statistical distributions Vector control Introduction: Dengue is the most widespread arbovirus worldwide. In Paraguay, it reappeared in 1988-1989, with one of the largest epidemic outbreaks occurring in 2011. Objective: To evaluate the performance of the dengue epidemiological surveillance system in Paraguay between 2009 and 2011. Materials and methods: We conducted an ecological study with secondary epidemiological surveillance data. We analyzed notified cases of the disease based on the distribution expected by Benford's law. To this end, we used the first and second digits from the global records stratified by region, season, population density, indicators of housing conditions and heads of cattle. Results: The epidemiological surveillance system performed better during non-epidemic periods and in the states with better housing conditions and fewer heads of cattle. Conclusion: Given that a difference in the performance existed, we recommended that the system remains operating at the same high alert level even during periods when fewer cases are expected. The technology used by the method proposed to monitor the notification of cases is easy to transfer to operational staff. 2016 2020-05-26T00:02:57Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repository.urosario.edu.co/handle/10336/23544 https://doi.org/10.7705/biomedica.v36i4.2731 eng info:eu-repo/semantics/openAccess application/pdf Instituto Nacional de Salud instname:Universidad del Rosario |
| institution |
EdocUR - Universidad del Rosario |
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DSpace |
| language |
Inglés (English) |
| topic |
Animal Animal husbandry Bovine Dengue Disease notification Epidemic Health survey Human Paraguay Population density Statistical distribution Statistics and numerical data Animal husbandry Animals Cattle Dengue Disease notification Disease outbreaks Humans Paraguay Population density Population surveillance Statistical distributions Dengue Disease notification Epidemiological surveillance Paraguay Statistical distributions Vector control |
| spellingShingle |
Animal Animal husbandry Bovine Dengue Disease notification Epidemic Health survey Human Paraguay Population density Statistical distribution Statistics and numerical data Animal husbandry Animals Cattle Dengue Disease notification Disease outbreaks Humans Paraguay Population density Population surveillance Statistical distributions Dengue Disease notification Epidemiological surveillance Paraguay Statistical distributions Vector control Gómez-Camponovo, Mariana Idrovo, Álvaro Javier Páez, Malvina Achkar, Marcel Moreno-Montoya, Jose Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law |
| description |
Introduction: Dengue is the most widespread arbovirus worldwide. In Paraguay, it reappeared in 1988-1989, with one of the largest epidemic outbreaks occurring in 2011. Objective: To evaluate the performance of the dengue epidemiological surveillance system in Paraguay between 2009 and 2011. Materials and methods: We conducted an ecological study with secondary epidemiological surveillance data. We analyzed notified cases of the disease based on the distribution expected by Benford's law. To this end, we used the first and second digits from the global records stratified by region, season, population density, indicators of housing conditions and heads of cattle. Results: The epidemiological surveillance system performed better during non-epidemic periods and in the states with better housing conditions and fewer heads of cattle. Conclusion: Given that a difference in the performance existed, we recommended that the system remains operating at the same high alert level even during periods when fewer cases are expected. The technology used by the method proposed to monitor the notification of cases is easy to transfer to operational staff. |
| format |
Artículo (Article) |
| author |
Gómez-Camponovo, Mariana Idrovo, Álvaro Javier Páez, Malvina Achkar, Marcel Moreno-Montoya, Jose |
| author_facet |
Gómez-Camponovo, Mariana Idrovo, Álvaro Javier Páez, Malvina Achkar, Marcel Moreno-Montoya, Jose |
| author_sort |
Gómez-Camponovo, Mariana |
| title |
Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law |
| title_short |
Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law |
| title_full |
Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law |
| title_fullStr |
Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law |
| title_full_unstemmed |
Monitoring the Paraguayan epidemiological dengue surveillance system (2009-2011) using Benford's law |
| title_sort |
monitoring the paraguayan epidemiological dengue surveillance system (2009-2011) using benford's law |
| publisher |
Instituto Nacional de Salud |
| publishDate |
2016 |
| url |
https://repository.urosario.edu.co/handle/10336/23544 https://doi.org/10.7705/biomedica.v36i4.2731 |
| _version_ |
1740172525360381952 |
| score |
12,131701 |