Dengue infection in the nervous system: lessons learned for Zika and Chikungunya

Puccioni-Sohler, Márzia; Roveroni, Natalia; Rosadas, Carolina; Ferry, Fernando Raphael de Almeida; Peralta, José Mauro; Tanuri, Amílcar

doi:10.1590/0004-282x20160189

Cited by 27 publications

(21 citation statements)

References 39 publications

(48 reference statements)

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“…[34] While most cases are travel-related, autochthonus transmission of dengue in the US is becoming increasingly possible. [34] The Zika virus does have some important distinctions from dengue, such as additional routes of transmission like sexual, perinatal, and possibly transfusion,[35, 36] and the population’s lack of exposure and thus immunity to the virus (since Zika is a novel virus compared to dengue) that could further facilitate its spread. Therefore, our study used the assumptions outlined in our previously published modeling study.…”

Section: Discussionmentioning

confidence: 99%

The potential economic burden of Zika in the continental United States

et al. 2017

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BackgroundAs the Zika virus epidemic continues to spread internationally, countries such as the United States must determine how much to invest in prevention, control, and response. Fundamental to these decisions is quantifying the potential economic burden of Zika under different scenarios.Methodology/Principle findingsTo inform such decision making, our team developed a computational model to forecast the potential economic burden of Zika across six states in the US (Alabama, Florida, Georgia, Louisiana, Mississippi, and Texas) which are at greatest risk of Zika emergence, under a wide range of attack rates, scenarios and circumstances. In order to accommodate a wide range of possibilities, different scenarios explored the effects of varying the attack rate from 0.01% to 10%. Across the six states, an attack rate of 0.01% is estimated to cost $183.4 million to society ($117.1 million in direct medical costs and $66.3 million in productivity losses), 0.025% would result in $198.6 million ($119.4 million and $79.2 million), 0.10% would result in $274.6 million ($130.8 million and $143.8 million) and 1% would result in $1.2 billion ($268.0 million and $919.2 million).ConclusionsOur model and study show how direct medical costs, Medicaid costs, productivity losses, and total costs to society may vary with different attack rates across the six states and the circumstances at which they may exceed certain thresholds (e.g., Zika prevention and control funding allocations that are being debated by the US government). A Zika attack rate of 0.3% across the six states at greatest risk of Zika infection, would result in total costs that exceed $0.5 billion, an attack rate of 1% would exceed $1 billion, and an attack rate of 2% would exceed $2 billion.

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Section: Discussionmentioning

confidence: 99%

The potential economic burden of Zika in the continental United States

et al. 2017

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“…Taciana de Souza Bayão [1] , Marli do Carmo Cupertino [1], [2] , Andréia Patrícia Gomes [1] and Rodrigo Siqueira-Batista [1], [2] [1]. Laboratório de Métodos Epidemiológicos e Computacionais em Saúde, Departamento de Medicina e Enfermagem, Universidade Federal de Viçosa, Viçosa, MG, Brasil.…”

Section: Yellow Fever Vaccination and Neurological Complicationsunclassified

“…Laboratório de Métodos Epidemiológicos e Computacionais em Saúde, Departamento de Medicina e Enfermagem, Universidade Federal de Viçosa, Viçosa, MG, Brasil. [2]. Escola de Medicina, Faculdade Dinâmica do Vale do Piranga, Ponte Nova, MG, Brasil.…”

Section: Yellow Fever Vaccination and Neurological Complicationsunclassified

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Yellow fever vaccination and neurological complications

Bayão

Cupertino

Gomes

et al. 2018

Rev. Soc. Bras. Med. Trop.

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“…Many pathogens can be transmitted to humans from infected mosquitoes such as Aedes aegypti (Linnaeus, 1762), a species responsible for the transmission of dengue fever, yellow fever, Chikungunya and Zika. In Brazil, this vector is one of the main public health problems, since it is extremely urban, has high population growth rates and is difficult to control (Simon et al, 2008;Puccioni-Sohler et al, 2017).…”

Section: Introductionmentioning

confidence: 99%