ArticlePLoS neglected tropical diseases2021
Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia.
Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Household and community drivers of Aedes aegypti infestation in tropical cities: Guiding community-led interventions.PLoS neglected tropical diseases · 2026Article
- Emergence and phylogeography of the dengue vector Aedes aegypti in Southeastern Iran.PLoS neglected tropical diseases · 2026Article
- Lagged and non-linear effects of Aedes surveillance indices on dengue incidence in Malaysia: evidence from sentinel-site data.Tropical medicine and health · 2026Article
- Analyzing the influence of environment, demographic and socio-economic factors on Aedes albopictus (Diptera: Culicidae) mosquito density at the micro-level using XGBoost and SHAP.Parasites & vectors · 2026Article
- The toolbox for mosquito vector research.Parasites & vectors · 2025Review
- Climate-driven models reveal temporal trends in Aedes breeding: implications for outbreak preparedness and control interventions.BMC public health · 2025Article
- Integrated vector management with the sterile insect technique component for the suppression of Aedes aegypti in an urban setting in Indonesia.PLoS neglected tropical diseases · 2025Article
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- Suppression of Aedes albopictus in Sri Lanka using the Sterile Insect Technique (SIT) with a sustained effect.Parasite (Paris, France) · 2025Article
- Collection of entomological, demographic, water and sanitation, and climatic data of interest for arbovirus surveillance in Praia, Cabo Verde.GigaByte (Hong Kong, China) · 2025Article
- Enhancing vector control: AI-based identification and counting of Aedes albopictus (Diptera: Culicidae) mosquito eggs.Parasites & vectors · 2024Article
- Socio-ecological predictors of dengue in high incidence area of Delhi, India.Scientific reports · 2024Article
- Article
- Potential Way to Develop Dengue Virus Detection inTropical medicine and infectious disease · 2024Review
- Identification of Aedes aegypti and Aedes albopictus eggs based on image processing and elliptic fourier analysis.Scientific reports · 2023Article
- Control methods for invasive mosquitoes ofVeterinary world · 2023Review
- Dataset of vector mosquito images.Data in brief · 2022Article
- Risk Assessment on the Release ofInsects · 2022Article
- Insecticide Resistance Profiles and Synergism of Field Aedes aegypti from Indonesia.PLoS neglected tropical diseases · 2022Article
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Authors and funding
11 authors.
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Abstract
Larval surveillance is the central approach for monitoring dengue vector populations in Indonesia. However, traditional larval indices are ineffective for measuring mosquito population dynamics and predicting the dengue transmission risk. We conducted a 14-month ovitrap surveillance. Eggs and immature mosquitoes were collected on a weekly basis from an urban village of Bandung, namely Sekejati. Ovitrap-related indices, namely positive house index (PHI), ovitrap index (OI), and ovitrap density index (ODI), were generated and correlated with environmental variables, housing type (terraced or high-density housing), ovitrap placement location (indoor or outdoor; household or public place), and local dengue cases. Our results demonstrated that Aedes aegypti was significantly predominant compared with Aedes albopictus at each housing type and ovitrap placement location. Ovitrap placement locations and rainfall were the major factors contributing to variations in PHI, OI, and ODI, whereas the influences of housing type and temperature were subtle. Indoor site values were significantly positively correlated to outdoor sites' values for both OI and ODI. OI and ODI values from households were best predicted with those from public places at 1- and 0-week lags, respectively. Weekly rainfall values at 4- and 3-week lags were the best predictors of OI and ODI for households and public places, respectively. Monthly mean PHI, OI, and ODI were significantly associated with local dengue cases. In conclusion, ovitrap may be an effective tool for monitoring the population dynamics of Aedes mosquitoes, predicting dengue outbreaks, and serving as an early indicator to initiate environmental clean-up. Ovitrap surveillance is easy for surveyors if they are tasked with a certain number of ovitraps at a designated area, unlike the existing larval surveillance methodology, which entails identifying potential breeding sites largely at the surveyors' discretion. Ovitrap surveillance may reduce the influence of individual effort in larval surveillance that likely causes inconsistency in results.
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