A review of the economic evidence of<i>Aedes</i>-borne arboviruses and<i>Aedes</i>-borne arboviral disease prevention and control strategies

Thompson, Ryan R.; Campo, Jorge Martin del; Constenla, Dagna

doi:10.1080/14760584.2020.1733419

Cited by 26 publications

(18 citation statements)

References 88 publications

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“…Chikungunya virus (CHIKV), Dengue virus (DENV), and Zika virus (ZIKV) are transmitted to humans in urban cycles through A. aegypti mosquitoes and rarely cause mortality. However, the high number of annual cases and debilitation of some infected people make these diseases an economic and worldwide health problem [29]. Yellow fever virus (YFV) is also transmitted by Aedes aegypti (urban cycle), and Aedes africanus, Haemagogus, and Sabethes mosquitoes (sylvatic cycle), and this arbovirus have a high mortality rate.…”

Section: Arbovirusesmentioning

confidence: 99%

“…However, most of these vaccine candidates are still in preclinical or clinical trials. Many of the vaccines that are under development or phase I trials were based on purified subunits, recombinant proteins, or other microbial components that are generally safe [29,41,42]. However, these antigens could be poorly immunogenic and therefore need the use of adjuvants and/or delivery systems to induce optimal immune responses [7,43].…”

Section: Arbovirusesmentioning

confidence: 99%

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Nanoparticles as Vaccines to Prevent Arbovirus Infection: A Long Road Ahead

et al. 2021

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Arthropod-borne viruses (arboviruses) are a significant public health problem worldwide. Vaccination is considered one of the most effective ways to control arbovirus diseases in the human population. Nanoparticles have been widely explored as new vaccine platforms. Although nanoparticles’ potential to act as new vaccines against infectious diseases has been identified, nanotechnology’s impact on developing new vaccines to prevent arboviruses is unclear. Thus, we used a comprehensive bibliographic survey to integrate data concerning the use of diverse nanoparticles as vaccines against medically important arboviruses. Our analysis showed that considerable research had been conducted to develop and evaluate nanovaccines against Chikungunya virus, Dengue virus, Zika virus, Japanese encephalitis virus, and West Nile virus. The main findings indicate that nanoparticles have great potential for use as a new vaccine system against arboviruses. Most of the studies showed an increase in neutralizing antibody production after mouse immunization. Nevertheless, even with significant advances in this field, further efforts are necessary to address the nanoparticles’ potential to act as a vaccine against these arboviruses. To promote advances in the field, we proposed a roadmap to help researchers better characterize and evaluate nanovaccines against medically important arboviruses.

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Section: Arbovirusesmentioning

confidence: 99%

Section: Arbovirusesmentioning

confidence: 99%

Nanoparticles as Vaccines to Prevent Arbovirus Infection: A Long Road Ahead

et al. 2021

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“…Along with this clinical presentation, ZIKV has currently spread to over 80 countries worldwide and has become a global public health threat (Gubler et al, 2017;World Health Organization, 2019). Also, the economic and social burden of ZIKV infections is of great concern (Peiter et al, 2020;Thompson et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

In vitro antiviral activity against Zika virus from a natural product of the Brazilian red seaweed Bryothamnion triquetrum

Cirne-Santos¹,

Barros²,

Rabelo³

et al. 2022

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“…The last update by the Pan American Health Organization reported that more than 1.6M cases of arboviral diseases occurred in the Americas between the first and 42nd epidemiological weeks of 2020 [2]. Even though COVID-19 has of late dominated the agendas of global health institutions, the grave and harmful effects of arboviruses should not be neglected [3,4]. Indeed, after the connection between Zika infection and microcephaly in newborns To simulate infectious diseases transmitted by mosquitoes, double population compartmental models represent the cross-infection dynamics between humans and vectors [5,6,7,8].…”

Section: Introductionmentioning

confidence: 99%