Endemicity of Dengue with Density Figure and Maya Index in Bengkulu City, Indonesia

Dessy Triana; Lala Foresta Valentine Gunasari; Helmiyetti Helmiyetti; Martini Martini; Ari Suwondo; Muchlis A. U. Sofro; Miftahul Haniyah; Meilia Andini

doi:10.3889/oamjms.2021.7718

Authors

Dessy Triana Department of Parasitology, Faculty of Medicine and Health Sciences, Universitas Bengkulu, Bengkulu, Indonesia; Doctoral Program of Medicine and Health Sciences, Faculty of Medicine, Universitas Diponegoro, Semarang, Indonesia https://orcid.org/0000-0001-6117-0765
Lala Foresta Valentine Gunasari Department of Parasitology, Faculty of Medicine and Health Sciences, Universitas Bengkulu, Bengkulu, Indonesia
Helmiyetti Helmiyetti Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Bengkulu, Bengkulu, Indonesia
Martini Martini Department of Occupational Health and Safety, Faculty of Public Health, Universitas Diponegoro, Semarang, Indonesia
Ari Suwondo Department of Occupational Health and Safety, Faculty of Public Health, Universitas Diponegoro, Semarang, Indonesia
Muchlis A. U. Sofro Department of Internal Medicine, Faculty of Medicine, Universitas Diponegoro, Semarang, Indonesia
Miftahul Haniyah Department of Parasitology, Faculty of Medicine and Health Sciences, Universitas Bengkulu, Bengkulu, Indonesia
Meilia Andini Department of Parasitology, Faculty of Medicine and Health Sciences, Universitas Bengkulu, Bengkulu, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2021.7718

Keywords:

Dengue, Aedes spp., Ovitrap index, House index, Container index, Breteau index, Maya index, Density figure

Abstract

BACKGROUND: One of the factors contributing to dengue’s endemicity is the density of the dengue vector, namely, Aedes aegypti as the primary vector and Aedes albopictus as the secondary vector. Bentiring and Kandang Limun villages are high endemic areas of dengue.

AIM: This study aimed to determine the relationship between dengue endemicity and density figure (DF) and Maya index (MI) in Bentiring and Kandang Limun villages, Bengkulu city.

METHODS: This study used a cross-sectional design. The sampling technique used proportionate stratified sampling. The sampling refers to the guidelines for dengue entomology surveys according to the WHO 1999 criteria. A total of 400 ovitraps were installed, 200 ovitraps inside the house and 200 ovitraps outside the house.

RESULTS: The results showed that Bentiring and Kandang Limun villages had a high risk of dengue transmission based on entomological parameters, namely, ovitrap index (OI) 56% and 55% (DF 6), house index (HI) 45% and 44% (DF 6), container index (CI) 23% and 23% (DF 6), and BI 96% and 120% (DF 7 and 8). The areas have a high risk of dengue transmission based on the MI 71% and 76%, respectively. There is a relationship between dengue endemicity and entomological index in Bentiring and Kandang Limun villages, Bengkulu city, with a significance value (p = 0.000) and a powerful correlation (r = 1.000).

CONCLUSION: There is a relationship between dengue endemicity and the MI in Bentiring village and Kandang Limun village, Bengkulu city, with a significance value (p = 0.014 and 0.058) and a powerful correlation (r = 0.920 and r = 1.000), respectively. The entomological index and DF are predictors for dengue prevention and control environment to minimize mosquito breeding sites and reduce disease transmission.

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