Personal protective strategies for dengue disease: Simulations in two coexisting virus serotypes scenarios

Cruz, Artur M. C. Brito da; Rodrigues, Helena Sofia

doi:10.1016/j.matcom.2021.04.002

Cited by 9 publications

(5 citation statements)

References 27 publications

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“…This work is the follow up work that the authors started in [2]. In here, the research tried to answer the following question: what is the best strategy to fight dengue disease and, at the same time, spending less money?…”

Section: Discussionmentioning

confidence: 99%

Economic Burden of Personal Protective Strategies for Dengue Disease: an Optimal Control Approach

Cruz

Rodrigues

2021

Communications in Computer and Information Science

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Dengue fever is a vector-borne disease that is widely spread. It has a vast impact on the economy of countries, especially where the disease is endemic. The associated costs with the disease comprise prevention and treatment. This study focus on the impact of adopting individual behaviors to reduce mosquito bites -avoiding the disease's transmission -and their associated costs. An epidemiological model is presented with human and mosquito compartments, modeling the interaction of dengue disease. The model assumed some self-protection measures, namely the use of repellent in human skin, wear treated clothes with repellent, and sleep with treated bed nets. The household costs for these protections are taking into account to study their use. We conclude that personal protection could have an impact on the reduction of the infected individuals and the outbreak duration. The costs associated with the personal protection could represent a burden to the household budget, and its purchase could influence the shape of the infected's curve.

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Section: Discussionmentioning

confidence: 99%

Economic Burden of Personal Protective Strategies for Dengue Disease: an Optimal Control Approach

Cruz

Rodrigues

2021

Communications in Computer and Information Science

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“…Simulation models are useful for understanding the drivers and spread of dengue and for helping to understand the efficacy of potential control methods. Many simulation model studies use dynamical models based on ordinary differential equations [14][15][16]. However, in general, these models do not describe the effects that arise from delays between drivers and reported cases.…”

Section: Dengue Modellingmentioning

confidence: 99%

Multiplicative Mixed-Effects Modelling of Dengue Incidence: An Analysis of the 2019 Outbreak in the Dominican Republic

Freitas

Rodrigues

Martins

et al. 2023

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Dengue is a vector-borne disease that is endemic to several countries, including the Dominican Republic, which has experienced dengue outbreaks for over four decades. With outbreaks growing in incidence in recent years, it is becoming increasingly important to develop better tools to understand drivers of dengue transmission. Such tools are critical for providing timely information to assist healthcare authorities in preparing human, material, and medical resources for outbreaks. Here, we investigate associations between meteorological variables and dengue transmission in the Dominican Republic in 2019, the year in which the country’s largest outbreak to date ocurred. We apply generalized linear mixed modelling with gamma family and log link to model the weekly dengue incidence rate. Because correlations in lags between climate variables and dengue cases exhibited different behaviour among provinces, a backward-type selection method was executed to find a final model with lags in the explanatory variables. We find that in the best models, meteorological conditions such as temperature and rainfall have an impact with a delay of 2–5 weeks in the development of an outbreak, ensuring breeding conditions for mosquitoes.

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“…This potential combination of entomological and control interventions, 48 the depletion of the susceptible population, human population cross-immunity, 11,49 and the adoption of personal protection against the vectors 50 could have caused the shifting of ZIK incidence to the central and northern regions of the country, with a significant proportion in non-endemic DEN municipalities. Displacement between two arboviruses which share a common host and vector has previously been reported.…”

Section: Spatiotemporal Patterns Of Dengue and Zika Incidence In Mexicomentioning

confidence: 99%

Spatiotemporal patterns of dengue and Zika incidence during the 2015-2018 outbreak of Zika in Mexico

et al. 2022

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Objective. Evaluate spatially and temporally simultaneous presence of clusters of dengue and Zika clinical cases and their relationship with expected dengue transmission risk. Materials and methods. A classification of dengue risk transmission was carried out for whole country, and spatial autocorrelation analyses to identify clusters of confirmed clinical cases of dengue and Zika from 2015 to 2018 was conducted using Moran’s Index statistics. Results. Clusters of both diseases were identified in dengue-high risk municipalities at the beginning of the outbreak, but, at the end of the outbreak, Zika clusters occurred in dengue low-risk municipalities. Conclusion. This study identified Zika clusters in low-risk dengue areas suggesting participation of several factors that favor virus introduction and dissemination, such as differences in entomological and control interventions, and the possibility of cross-immunity in the population.

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Personal protective strategies for dengue disease: Simulations in two coexisting virus serotypes scenarios

Cited by 9 publications

References 27 publications

Economic Burden of Personal Protective Strategies for Dengue Disease: an Optimal Control Approach

Economic Burden of Personal Protective Strategies for Dengue Disease: an Optimal Control Approach

Multiplicative Mixed-Effects Modelling of Dengue Incidence: An Analysis of the 2019 Outbreak in the Dominican Republic

Spatiotemporal patterns of dengue and Zika incidence during the 2015-2018 outbreak of Zika in Mexico

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