Breteau index as a promising early warning signal for dengue fever outbreaks in the Colombo District, Sri Lanka

Aryaprema, Vindhya S.; Xue, Rui

doi:10.1016/j.actatropica.2019.105155

Cited by 20 publications

(30 citation statements)

References 22 publications

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“…The entomology index can be used to predict mosquito density and dengue infection [15], [35], as well as intervention in risk areas [36,37]. A high entomology index is an early warning for an outbreak in an area [38,39,40]. This study found high entomology indexes: house index (31.2%), container index (20.4%), and breteau index (103.6%).…”

Section: U N I T Y P a R T I C I P A T I O N P R E F E R S S P R A Y mentioning

confidence: 75%

Knowledge, Attitudes and Practices towards the Density of Aedes Larvae in a Tourist Destination in Bali

Purnama

Susanna

Kardiwinata

et al. 2020

AJESS

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Introduction: The lack of information can affect the level of knowledge, attitudes, and practices for dengue control. The purpose of this study was to measure knowledge, attitudes, and practices associated with the larvae density of Aedes sp. Study Design: This study used a cross-sectional design by sampling as many as 250 households. Data measurements were carried out quantitatively using questionnaires and direct observation. Results: The variable knowledge, attitudes, practices, family income, and door-to-door health promotion associated with Aedes larvae density. People who eradicated mosquito breeding sites were mothers (74.4%), draining mosquito breeding sites routinely once a week (43%). The media favored direct counseling (53%), television as much as (34%). The preferred electronic media was interactive interviews (78.8%). The Aedes sp entomology survey results were house index (HI): 31.2%, container index (CI): 20.4%, and breteau index (BI): 103.6%. Conclusion: The knowledge, attitude, practice, family income, and door-to-door health promotion variables were associated with the density of Aedes larvae. Education programs in the community could increase awareness of controlling dengue vectors.

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Section: U N I T Y P a R T I C I P A T I O N P R E F E R S S P R A Y mentioning

confidence: 75%

Knowledge, Attitudes and Practices towards the Density of Aedes Larvae in a Tourist Destination in Bali

Purnama

Susanna

Kardiwinata

et al. 2020

AJESS

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“…For example, Liu et al (2009) found that a dead bird sighting in the last 30 days and a West Nile virus-positive bird in the last 30 days were significantly associated with increased risk of human infection. Aryaprema and Xue (2019) demonstrated that Ae. aegypti Breteau Index over 2.45 in the Colombo District, Sri Lanka, will increase the number of dengue cases in the following months.…”

Section: Discussionmentioning

confidence: 99%

Initial Survey of Mosquito Control Programs with Set Action Thresholds and Associated Surveillance Characteristics

Aryaprema

Steck

Peper

et al. 2022

Journal of the American Mosquito Control Association

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The establishment of action thresholds is becoming critical in mosquito control management to implement effective proactive control measures using limited available resources. As a part of a large-scale study to identify different mosquito control action thresholds used in different geographical regions, we conducted an initial survey to identify mosquito control programs that claim to have set action thresholds and to investigate their associated program characteristics. We identified 68% (USA), 60% (mainland Australia), 78% (Asia), 35% (Africa), and 50% (US military units) of the responding programs, which perform mosquito control, have set mosquito control action thresholds. More than 50% of the programs that have not set mosquito control action thresholds already collect basic surveillance information as do the programs with thresholds. Further investigations with the selected mosquito control programs from this initial survey will help develop guidelines on establishing action thresholds by identifying different types of actual action thresholds used by programs in different geographical settings and other related information.

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“…Traditional vector control approaches using larval and container surveys provide an estimate of the number of vectors but they are costly, labor-intensive, and are not feasible to implement for the large area, and are not sustainable in long term [2,40,41]. Studies related to vector-borne disease modeling often include the proxies of mosquito breeding or resting sites based on the vector-knowledge reviewed in the literature [42,43], survey data [13], and Breteau Index [15]. In this paper, we conducted a proof-of-concept study to determine the effects of outdoor container information detected from geotagged images in risk models.…”

Section: Discussionmentioning

confidence: 99%

“…Their results suggest that the adult mosquito infestation index is a good predictor of dengue occurrence. Aryaprema et al [15] use the Breteau index in predicting dengue risk. They constructed ROC curves to determine the performance of the Breteau indices as predictors of impending dengue outbreaks and to establish a threshold value.…”

Section: Related Workmentioning

confidence: 99%

Added-value of mosquito vector breeding sites from street view images in the risk mapping of dengue incidence in Thailand

et al. 2021

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Dengue is an emerging vector-borne viral disease across the world. The primary dengue mosquito vectors breed in containers with sufficient water and nutrition. Outdoor containers can be detected from geotagged images using state-of-the-art deep learning methods. In this study, we utilize such container information from street view images in developing a risk mapping model and determine the added value of including container information in predicting dengue risk. We developed seasonal-spatial models in which the target variable dengue incidence was explained using weather and container variable predictors. Linear mixed models with fixed and random effects are employed in our models to account for different characteristics of containers and weather variables. Using data from three provinces of Thailand between 2015 and 2018, the models are developed at the sub-district level resolution to facilitate the development of effective targeted intervention strategies. The performance of the models is evaluated with two baseline models: a classic linear model and a linear mixed model without container information. The performance evaluated with the correlation coefficients, R-squared, and AIC shows the proposed model with the container information outperforms both baseline models in all three provinces. Through sensitivity analysis, we investigate the containers that have a high impact on dengue risk. Our findings indicate that outdoor containers identified from street view images can be a useful data source in building effective dengue risk models and that the resulting models have potential in helping to target container elimination interventions.

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Breteau index as a promising early warning signal for dengue fever outbreaks in the Colombo District, Sri Lanka

Cited by 20 publications

References 22 publications

Knowledge, Attitudes and Practices towards the Density of Aedes Larvae in a Tourist Destination in Bali

Knowledge, Attitudes and Practices towards the Density of Aedes Larvae in a Tourist Destination in Bali

Initial Survey of Mosquito Control Programs with Set Action Thresholds and Associated Surveillance Characteristics

Added-value of mosquito vector breeding sites from street view images in the risk mapping of dengue incidence in Thailand

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