Integrating evidence, models and maps to enhance Chagas disease vector surveillance

Gutfraind, Alexander; Peterson, Jennifer K.; Rose, Erica Billig; Arevalo-Nieto, Claudia; Sheen, Justin; Condori-Luna, Gian Franco; Tankasala, Narender; Castillo-Neyra, Ricardo; Condori-Pino, Carlos; Anand, Priyanka; Náquira-Velarde, César; Levy, Michael Z.

doi:10.1371/journal.pntd.0006883

Cited by 15 publications

(21 citation statements)

References 81 publications

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“…The central idea is that, if members of the public understand what CD is and how it is transmitted, this knowledge will reduce infection rates [51]. In addition to community members, these educational interventions can include professional home inspectors [52] and physicians [53,54]. Although the causal mechanism is rarely explained, researchers argue that, if individuals become more aware of the severity of CD and their susceptibility to the disease, they will be more likely to seek preventive measures [55][56][57].…”

Section: Discussionmentioning

confidence: 99%

Determinants of intentions to prevent triatomine infestation based on the health belief model: An application in rural southern Ecuador

et al. 2020

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Introduction Control of triatomine infestation is a key strategy for the prevention of Chagas disease (CD). To promote this strategy, it is important to know which antecedents to behavioral change are the best to emphasize when promoting prevention. Objective The aim of this study was to determine predictors for intention to prevent home infestation based on the Health Belief Model (HBM), a commonly used health intervention planning theory. Materials & methods A cross-sectional study was conducted with 112 heads of household in six communities with endemic and high rates of triatomine infestation in Loja province, Ecuador. The data was collected by a questionnaire including perceived severity, susceptibility, benefits to action, barriers to action, and self-efficacy. These data were also used to predict actual infestation of homes. Results Community members reported strong intentions to prevent home infestation. HBM constructs predicted about 14% of the observed variance in intentions. Perceived susceptibility and severity did not predict behavioral intention well; perceived barriers to small-scale action that reduce likelihood of infestation and self-efficacy in participating in surveillance systems

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Section: Discussionmentioning

confidence: 99%

Determinants of intentions to prevent triatomine infestation based on the health belief model: An application in rural southern Ecuador

et al. 2020

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“…For Chagas disease, spatial analysis has been used to investigate the reinfestation process with T . infestans after community-wide insecticide spraying [33,37–40]; identify factors associated with house infestation [41–43]; evaluate the effects of vector control interventions [44], and generate risk maps at regional and continental levels based on vector distribution [45,46]. By contrast, the spatial component of human T .…”

Section: Introductionmentioning

confidence: 99%

Human Trypanosoma cruzi infection is driven by eco-social interactions in rural communities of the Argentine Chaco

2019

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The transmission of Trypanosoma cruzi to humans is determined by multiple ecological, socio-economic and cultural factors acting at different scales. Their effects on human infection with T. cruzi have often been examined separately or using a limited set of ecological and socio-demographic variables. Herein, we integrated the ecological and social dimensions of human infection risk with the spatial distribution patterns of human and vector (Triatoma infestans) infection in rural communities of the Argentine Chaco composed of indigenous people (90% Qom) and a creole minority. We conducted serosurveys in 470 households aiming at complete population enumeration over 2012–2015. The estimated seroprevalence of T. cruzi prior to the implementation of an insecticide spraying campaign (2008) was 29.0% (N = 1,373 in 301 households), and was twice as large in Qom than creoles. Using generalized linear mixed models, human seropositive cases significantly increased with infected triatomine abundance, having a seropositive household co-inhabitant and household social vulnerability (a multidimensional index of poverty), and significantly decreased with increasing host availability in sleeping quarters (an index summarizing the number of domestic hosts for T. infestans). Vulnerable household residents were exposed to a higher risk of infection even at low infected-vector abundances. The risk of being seropositive increased significantly with house infestation among children from stable households, whereas both variables were not significantly associated among children from households exhibiting high mobility within the communities, possibly owing to less consistent exposures. Human infection was clustered by household and at a larger spatial scale, with hotspots of human and vector infection matching areas of higher social vulnerability. These results were integrated in a risk map that shows high-priority areas for targeted interventions oriented to suppress house (re)infestations, detect and treat infected children, and thus reduce the burden of future disease.

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“…Risk maps for vector infestation were provided on smart phones using the VectorPoint mobile app (described in detail in 9,18 ). Each participant had at least one month of experience using the app prior to the study.…”

Section: Methodsmentioning

confidence: 99%

“…Risk estimates displayed in the map were generated using infestation data from the Arequipa vector control campaign run in a longitudinal, spatio-temporal model described previously 9,18 . The model was run every evening to incorporate new information collected during inspections that day.…”

Section: Methodsmentioning

confidence: 99%

Incentivizing Multiple Objectives in Active Surveillance for Urban Disease Vectors

Arevalo-Nieto

Sheen

Condori-Luna³

et al. 2021

Preprint

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Large-scale vector control campaigns have successfully reduced infectious disease incidence around the world. In addition to preventing new infections, these campaigns produce a wealth of information about the distribution and density of insect vectors, which can be incorporated into risk maps. These maps can effectively communicate risk map data to technicians on the ground, although encouraging them to use the data remains a challenge. We carried out a series of rolling trials in which we evaluated risk map use under different incentive schemes. Participants in the studies were trained field technicians tasked with house-to-house surveillance for insect vectors of Chagas disease in Arequipa, Peru. A novel incentive scheme based on poker best achieved a dual objective: to encourage technicians to preferentially visit higher-risk houses while surveilling evenly across the search zone. The poker incentive structure may be well-suited to improve entomological surveillance activities and other complex multi-objective tasks.

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Integrating evidence, models and maps to enhance Chagas disease vector surveillance

Cited by 15 publications

References 81 publications

Determinants of intentions to prevent triatomine infestation based on the health belief model: An application in rural southern Ecuador

Determinants of intentions to prevent triatomine infestation based on the health belief model: An application in rural southern Ecuador

Human Trypanosoma cruzi infection is driven by eco-social interactions in rural communities of the Argentine Chaco

Incentivizing Multiple Objectives in Active Surveillance for Urban Disease Vectors

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