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Utility of entomological indices for predicting transmission of dengue virus: secondary analysis of data from the Camino Verde trial in Mexico and Nicaragua
Dengue vector entomological indices are widely used to monitor vector density and disease control activities. But the value of these indices as predictors of dengue infection is not established. We used data from the impact assessment of a trial of community mobilization for dengue prevention (Camin...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588090/ https://www.ncbi.nlm.nih.gov/pubmed/33104693 http://dx.doi.org/10.1371/journal.pntd.0008768 |
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author | Morales-Pérez, Arcadio Nava-Aguilera, Elizabeth Hernández-Alvarez, Carlos Alvarado-Castro, Víctor Manuel Arosteguí, Jorge Legorreta-Soberanis, José Flores-Moreno, Miguel Morales-Nava, Liliana Harris, Eva Ledogar, Robert J. Andersson, Neil Cockcroft, Anne |
author_facet | Morales-Pérez, Arcadio Nava-Aguilera, Elizabeth Hernández-Alvarez, Carlos Alvarado-Castro, Víctor Manuel Arosteguí, Jorge Legorreta-Soberanis, José Flores-Moreno, Miguel Morales-Nava, Liliana Harris, Eva Ledogar, Robert J. Andersson, Neil Cockcroft, Anne |
author_sort | Morales-Pérez, Arcadio |
collection | PubMed |
description | Dengue vector entomological indices are widely used to monitor vector density and disease control activities. But the value of these indices as predictors of dengue infection is not established. We used data from the impact assessment of a trial of community mobilization for dengue prevention (Camino Verde) to examine the associations between vector indices and evidence of dengue infection and their value for predicting dengue infection levels. In 150 clusters in Mexico and Nicaragua, two entomological surveys, three months apart, allowed calculation of the mean Container Index, Breteau index, Pupae per Household Index, and Pupae per Container Index across the two surveys. We measured recent dengue virus infection in children, indicated by a doubling of dengue antibodies in paired saliva samples over the three-month period. We examined the associations between each of the vector indices and evidence of dengue infection at household level and at cluster level, accounting for trial intervention status. To examine the predictive value for dengue infection, we constructed receiver operating characteristic (ROC) curves at household and cluster level, considering the four vector indices as continuous variables, and calculated the positive and negative likelihood ratios for different levels of the indices. None of the vector indices was associated with recent dengue infection at household level. The Breteau Index was associated with recent infection at cluster level (Odds ratio 1.36, 95% confidence interval 1.14–1.61). The ROC curve confirmed the weak predictive value for dengue infection of the Breteau Index at cluster level. Other indices showed no predictive value. Conventional vector indices were not useful in predicting dengue infection in Mexico and Nicaragua. The findings are compatible with the idea of sources of infection outside the household which were tackled by community action in the Camino Verde trial. |
format | Online Article Text |
id | pubmed-7588090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75880902020-10-30 Utility of entomological indices for predicting transmission of dengue virus: secondary analysis of data from the Camino Verde trial in Mexico and Nicaragua Morales-Pérez, Arcadio Nava-Aguilera, Elizabeth Hernández-Alvarez, Carlos Alvarado-Castro, Víctor Manuel Arosteguí, Jorge Legorreta-Soberanis, José Flores-Moreno, Miguel Morales-Nava, Liliana Harris, Eva Ledogar, Robert J. Andersson, Neil Cockcroft, Anne PLoS Negl Trop Dis Research Article Dengue vector entomological indices are widely used to monitor vector density and disease control activities. But the value of these indices as predictors of dengue infection is not established. We used data from the impact assessment of a trial of community mobilization for dengue prevention (Camino Verde) to examine the associations between vector indices and evidence of dengue infection and their value for predicting dengue infection levels. In 150 clusters in Mexico and Nicaragua, two entomological surveys, three months apart, allowed calculation of the mean Container Index, Breteau index, Pupae per Household Index, and Pupae per Container Index across the two surveys. We measured recent dengue virus infection in children, indicated by a doubling of dengue antibodies in paired saliva samples over the three-month period. We examined the associations between each of the vector indices and evidence of dengue infection at household level and at cluster level, accounting for trial intervention status. To examine the predictive value for dengue infection, we constructed receiver operating characteristic (ROC) curves at household and cluster level, considering the four vector indices as continuous variables, and calculated the positive and negative likelihood ratios for different levels of the indices. None of the vector indices was associated with recent dengue infection at household level. The Breteau Index was associated with recent infection at cluster level (Odds ratio 1.36, 95% confidence interval 1.14–1.61). The ROC curve confirmed the weak predictive value for dengue infection of the Breteau Index at cluster level. Other indices showed no predictive value. Conventional vector indices were not useful in predicting dengue infection in Mexico and Nicaragua. The findings are compatible with the idea of sources of infection outside the household which were tackled by community action in the Camino Verde trial. Public Library of Science 2020-10-26 /pmc/articles/PMC7588090/ /pubmed/33104693 http://dx.doi.org/10.1371/journal.pntd.0008768 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Morales-Pérez, Arcadio Nava-Aguilera, Elizabeth Hernández-Alvarez, Carlos Alvarado-Castro, Víctor Manuel Arosteguí, Jorge Legorreta-Soberanis, José Flores-Moreno, Miguel Morales-Nava, Liliana Harris, Eva Ledogar, Robert J. Andersson, Neil Cockcroft, Anne Utility of entomological indices for predicting transmission of dengue virus: secondary analysis of data from the Camino Verde trial in Mexico and Nicaragua |
title | Utility of entomological indices for predicting transmission of dengue virus: secondary analysis of data from the Camino Verde trial in Mexico and Nicaragua |
title_full | Utility of entomological indices for predicting transmission of dengue virus: secondary analysis of data from the Camino Verde trial in Mexico and Nicaragua |
title_fullStr | Utility of entomological indices for predicting transmission of dengue virus: secondary analysis of data from the Camino Verde trial in Mexico and Nicaragua |
title_full_unstemmed | Utility of entomological indices for predicting transmission of dengue virus: secondary analysis of data from the Camino Verde trial in Mexico and Nicaragua |
title_short | Utility of entomological indices for predicting transmission of dengue virus: secondary analysis of data from the Camino Verde trial in Mexico and Nicaragua |
title_sort | utility of entomological indices for predicting transmission of dengue virus: secondary analysis of data from the camino verde trial in mexico and nicaragua |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588090/ https://www.ncbi.nlm.nih.gov/pubmed/33104693 http://dx.doi.org/10.1371/journal.pntd.0008768 |
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