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. 2020 Jul 24:8:328.
doi: 10.3389/fpubh.2020.00328. eCollection 2020.

Stegomyia Indices and Risk of Dengue Transmission: A Lack of Correlation

Triwibowo Ambar Garjito  1   2   3 , Muhammad Choirul Hidajat  1 , Revi Rosavika Kinansi  1 , Riyani Setyaningsih  1 , Yusnita Mirna Anggraeni  1 , Mujiyanto  1 , Wiwik Trapsilowati  1 , Jastal  4 , Ristiyanto  1 , Tri Baskoro Tunggul Satoto  5 , Laurent Gavotte  6 , Sylvie Manguin  2   3 , Roger Frutos  2   7   8
Affiliations

Stegomyia Indices and Risk of Dengue Transmission: A Lack of Correlation

Triwibowo Ambar Garjito et al. Front Public Health. .

Abstract

Dengue is present in 128 countries worldwide and is still expanding. There is currently no treatment or universally approved vaccine available. Therefore, prevention and control of mosquito vectors remain the most efficient ways of managing the risk of dengue outbreaks. The Stegomyia indices have been developed as quantitative indicators of the risk of dengue outbreaks. However, conflictual data are circulating about their reliability. We report in this article the first extensive study on Stegomyia indices, covering 78 locations of differing environmental and socio-economic conditions, climate, and population density across Indonesia, from West Sumatra to Papua. A total of 65,876 mosquito larvae and pupae were collected for the study. A correlation was found between incidence and human population density. No correlation was found between the incidence of dengue and the Stegomyia indices.

Keywords: Aedes aegypti; Aedes albopictus; Stegomyia indices; dengue; incidence; mosquito-borne disease.

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Figures

Figure 1
Figure 1
Map of the sampling sites in Indonesia. (A) Locations of urban and rural sampling sites. (B) Locations of coastal and inland sampling sites. These maps are original artworks created by the authors from a blank map background of the Republic of Indonesia displaying the district limits. This map background was provided by the Indonesian Geospatial Information Agency under agreement to use it in publication signed with IVRCRD-NIHRD.
Figure 2
Figure 2
Non-normal distribution of dengue incidence.
Figure 3
Figure 3
Principal Component Analysis (PCA) of indices, number of mosquitoes, human population density, and incidence of dengue. (A) PCA for Ae. aegypti. (B) PCA for Ae. albopictus. (C) PCA for Ae. aegypti and Ae. albopictus together.
See this image and copyright information in PMC

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