Cargando…

Empirical optimization of risk thresholds for dengue: an approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka

BACKGROUND: Larval indices such as Premise Index (PI), Breteau Index (BI) and Container Index (CI) are widely used to interpret the density of dengue vectors in surveillance programmes. These indices may be useful for forecasting disease outbreaks in an area. However, use of the values of these indi...

Descripción completa

Detalles Bibliográficos
Autores principales: Udayanga, Lahiru, Gunathilaka, Nayana, Iqbal, Mohamed Cassim Mohamed, Najim, Mohamed Mujithaba Mohamed, Pahalagedara, Kusumawathie, Abeyewickreme, Wimaladharma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022305/
https://www.ncbi.nlm.nih.gov/pubmed/29954443
http://dx.doi.org/10.1186/s13071-018-2961-y
_version_ 1783335650841329664
author Udayanga, Lahiru
Gunathilaka, Nayana
Iqbal, Mohamed Cassim Mohamed
Najim, Mohamed Mujithaba Mohamed
Pahalagedara, Kusumawathie
Abeyewickreme, Wimaladharma
author_facet Udayanga, Lahiru
Gunathilaka, Nayana
Iqbal, Mohamed Cassim Mohamed
Najim, Mohamed Mujithaba Mohamed
Pahalagedara, Kusumawathie
Abeyewickreme, Wimaladharma
author_sort Udayanga, Lahiru
collection PubMed
description BACKGROUND: Larval indices such as Premise Index (PI), Breteau Index (BI) and Container Index (CI) are widely used to interpret the density of dengue vectors in surveillance programmes. These indices may be useful for forecasting disease outbreaks in an area. However, use of the values of these indices as alarm signals is rarely considered in control programmes. Therefore, the current study aims to propose threshold values for vector indices based on an empirical modeling approach for the Kandy District of Sri Lanka. METHODS: Monthly vector indices, viz PI, BI and CI, for Aedes aegypti and Aedes albopictus, of four selected dengue high risk Medical Officer of Health (MOH) areas in the Kandy District from January 2010 to August 2017, were used in the study. Gumbel frequency analysis was used to calculate the exceedance probability of quantitative values for each individual larval index within the relevant MOH area, individually and to set up the threshold values for the entomological management of dengue vectors. RESULTS: Among the study MOH areas, Akurana indicated a relatively high density of both Ae. aegypti and Ae. albopictus, while Gangawata Korale MOH area had the lowest. Based on Ae. aegypti, threshold values were defined for Kandy as low risk (BI(agp) > 1.77), risk (BI(agp) > 3.23), moderate risk (BI(agp) > 4.47) and high risk (BI(agp) > 6.23). In addition, PI > 6.75 was defined as low risk, while PI > 9.43 and PI>12.82 were defined as moderate and high risk, respectively as an average. CONCLUSIONS: Threshold values recommended for Ae. aegypti (primary vector for dengue) along with cut-off values for PI (for Ae. aegypti and Ae. albopictus), could be suggested as indicators for decision making in vector control efforts. This may also facilitate the rational use of financial allocations, technical and human resources for vector control approaches in Sri Lanka in a fruitful manner. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-2961-y) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6022305
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-60223052018-07-09 Empirical optimization of risk thresholds for dengue: an approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka Udayanga, Lahiru Gunathilaka, Nayana Iqbal, Mohamed Cassim Mohamed Najim, Mohamed Mujithaba Mohamed Pahalagedara, Kusumawathie Abeyewickreme, Wimaladharma Parasit Vectors Research BACKGROUND: Larval indices such as Premise Index (PI), Breteau Index (BI) and Container Index (CI) are widely used to interpret the density of dengue vectors in surveillance programmes. These indices may be useful for forecasting disease outbreaks in an area. However, use of the values of these indices as alarm signals is rarely considered in control programmes. Therefore, the current study aims to propose threshold values for vector indices based on an empirical modeling approach for the Kandy District of Sri Lanka. METHODS: Monthly vector indices, viz PI, BI and CI, for Aedes aegypti and Aedes albopictus, of four selected dengue high risk Medical Officer of Health (MOH) areas in the Kandy District from January 2010 to August 2017, were used in the study. Gumbel frequency analysis was used to calculate the exceedance probability of quantitative values for each individual larval index within the relevant MOH area, individually and to set up the threshold values for the entomological management of dengue vectors. RESULTS: Among the study MOH areas, Akurana indicated a relatively high density of both Ae. aegypti and Ae. albopictus, while Gangawata Korale MOH area had the lowest. Based on Ae. aegypti, threshold values were defined for Kandy as low risk (BI(agp) > 1.77), risk (BI(agp) > 3.23), moderate risk (BI(agp) > 4.47) and high risk (BI(agp) > 6.23). In addition, PI > 6.75 was defined as low risk, while PI > 9.43 and PI>12.82 were defined as moderate and high risk, respectively as an average. CONCLUSIONS: Threshold values recommended for Ae. aegypti (primary vector for dengue) along with cut-off values for PI (for Ae. aegypti and Ae. albopictus), could be suggested as indicators for decision making in vector control efforts. This may also facilitate the rational use of financial allocations, technical and human resources for vector control approaches in Sri Lanka in a fruitful manner. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-2961-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-28 /pmc/articles/PMC6022305/ /pubmed/29954443 http://dx.doi.org/10.1186/s13071-018-2961-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Udayanga, Lahiru
Gunathilaka, Nayana
Iqbal, Mohamed Cassim Mohamed
Najim, Mohamed Mujithaba Mohamed
Pahalagedara, Kusumawathie
Abeyewickreme, Wimaladharma
Empirical optimization of risk thresholds for dengue: an approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka
title Empirical optimization of risk thresholds for dengue: an approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka
title_full Empirical optimization of risk thresholds for dengue: an approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka
title_fullStr Empirical optimization of risk thresholds for dengue: an approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka
title_full_unstemmed Empirical optimization of risk thresholds for dengue: an approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka
title_short Empirical optimization of risk thresholds for dengue: an approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka
title_sort empirical optimization of risk thresholds for dengue: an approach towards entomological management of aedes mosquitoes based on larval indices in the kandy district of sri lanka
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022305/
https://www.ncbi.nlm.nih.gov/pubmed/29954443
http://dx.doi.org/10.1186/s13071-018-2961-y
work_keys_str_mv AT udayangalahiru empiricaloptimizationofriskthresholdsfordengueanapproachtowardsentomologicalmanagementofaedesmosquitoesbasedonlarvalindicesinthekandydistrictofsrilanka
AT gunathilakanayana empiricaloptimizationofriskthresholdsfordengueanapproachtowardsentomologicalmanagementofaedesmosquitoesbasedonlarvalindicesinthekandydistrictofsrilanka
AT iqbalmohamedcassimmohamed empiricaloptimizationofriskthresholdsfordengueanapproachtowardsentomologicalmanagementofaedesmosquitoesbasedonlarvalindicesinthekandydistrictofsrilanka
AT najimmohamedmujithabamohamed empiricaloptimizationofriskthresholdsfordengueanapproachtowardsentomologicalmanagementofaedesmosquitoesbasedonlarvalindicesinthekandydistrictofsrilanka
AT pahalagedarakusumawathie empiricaloptimizationofriskthresholdsfordengueanapproachtowardsentomologicalmanagementofaedesmosquitoesbasedonlarvalindicesinthekandydistrictofsrilanka
AT abeyewickremewimaladharma empiricaloptimizationofriskthresholdsfordengueanapproachtowardsentomologicalmanagementofaedesmosquitoesbasedonlarvalindicesinthekandydistrictofsrilanka