Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates

Han, Barbara A.; Majumdar, Subhabrata; Calmon, Flávio P.; Glicksberg, Benjamin S.; Horesh, Raya; Kumar, Abhishek; Perer, Adam; Marschall, Elisa B. von; Wei, Dennis; Mojsilović, Aleksandra; Varshney, Kush R.

doi:10.1016/j.epidem.2019.01.005

Cited by 38 publications

(33 citation statements)

References 31 publications

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“…However, the majority of the work on these imported arboviruses has focused on retrospective analysis of the conditions that enabled their introductions-particularly the global invasion of mosquito vectors A. aegypti and A. albopictus-and the transmission burden in the human population [38][39][40][41]. Only a few recent papers have begun to discuss the threat of enzootic establishment [22][23][24][25]42]. We add to this discussion by considering how each ecological mechanism identified in our Review may affect the trajectory of DENV, CHIKV, and ZIKV in South America, using YFV as a frame of reference.…”

Section: The Case Studymentioning

confidence: 99%

“…A remarkably diverse assemblage of nonhuman primates and mosquitoes inhabit the neotropics. This biodiversity could amplify the probability of novel enzootic infections because New World primates and mosquitoes are competent hosts of a broad range of arboviruses [ 24 , 78 ]. Previous meta-analyses suggest that the probability of cross-species emergence increases as the phylogenetic distance between novel and original host species decreases (i.e., as hosts become more closely related) [ 67 , 68 , 79 – 82 ].…”

Section: Enzootic Infectionmentioning

confidence: 99%

“…The enzootic establishment of YFV in South America is a particularly noteworthy case because three additional Old World arboviruses-DENV, chikungunya virus (CHIKV), and ZIKV-have since been introduced to the New World human population. All three arboviruses now circulate in the same urban transmission cycle as YFV in the South American human population, raising the question: Will their transmission remain within the human population, or will novel enzootic cycles emerge [22][23][24][25]? Identifying mechanisms that shape the outcome of zoonotic translocations is critical for developing strategies to mitigate the public health consequences of global transmission networks.…”

Section: Introductionmentioning

confidence: 99%

“…An emerging body of literature is beginning to discuss the risk that human-to-animal transmission will seed persistent enzootic reservoirs [22][23][24][25], but, overall, disease emergence and spillover from wildlife continues to dominate the conversation on zoonotic transmission. Our understanding of enzootic establishment is limited by the difficulty in quantifying a process that is both highly stochastic and the product of interactions between multiple systems.…”

Section: Introductionmentioning

confidence: 99%

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Ecological processes underlying the emergence of novel enzootic cycles: Arboviruses in the neotropics as a case study

et al. 2020

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Pathogens originating from wildlife (zoonoses) pose a significant public health burden, comprising the majority of emerging infectious diseases. Efforts to control and prevent zoonotic disease have traditionally focused on animal-to-human transmission, or "spillover." However, in the modern era, increasing international mobility and commerce facilitate the spread of infected humans, nonhuman animals (hereafter animals), and their products worldwide, thereby increasing the risk that zoonoses will be introduced to new geographic areas. Imported zoonoses can potentially "spill back" to infect local wildlife-a danger magnified by urbanization and other anthropogenic pressures that increase contacts between human and wildlife populations. In this way, humans can function as vectors, dispersing zoonoses from their ancestral enzootic systems to establish reservoirs elsewhere in novel animal host populations. Once established, these enzootic cycles are largely unassailable by standard control measures and have the potential to feed human epidemics. Understanding when and why translocated zoonoses establish novel enzootic cycles requires disentangling ecologically complex and stochastic interactions between the zoonosis, the human population, and the natural ecosystem. In this Review, we address this challenge by delineating potential ecological mechanisms affecting each stage of enzootic establishment-wildlife exposure, enzootic infection, and persistence-applying existing ecological concepts from epidemiology, invasion biology, and population ecology. We ground our discussion in the neotropics, where four arthropod-borne viruses (arboviruses) of zoonotic origin-yellow fever, dengue, chikungunya, and Zika viruses-have separately been introduced into the human population. This paper is a step towards developing a framework for predicting and preventing novel enzootic cycles in the face of zoonotic translocations.

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Section: The Case Studymentioning

confidence: 99%

Section: Enzootic Infectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ecological processes underlying the emergence of novel enzootic cycles: Arboviruses in the neotropics as a case study

et al. 2020

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“…Data-driven modelling strategies for countering Zika have been explored keeping a diverse types of end goals in mind. In a departure from traditional epidemiological modelling, [37] attempted to predict new primate reservoirs of ZIKV in the wild based on their phenotypical characteristics. This has the potential to help prevent future explosive spreads of the virus through proactive surveillance and prevention of ZIKV spread from the at-risk primate species.…”

Section: Quantitative Epidemiological Modelling Strategies To Preventmentioning

confidence: 99%

Computer-Assisted and Data Driven Approaches for Surveillance, Drug Discovery, and Vaccine Design for the Zika Virus

et al. 2019

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Human life has been at the edge of catastrophe for millennia due diseases which emerge and reemerge at random. The recent outbreak of the Zika virus (ZIKV) is one such menace that shook the global public health community abruptly. Modern technologies, including computational tools as well as experimental approaches, need to be harnessed fast and effectively in a coordinated manner in order to properly address such challenges. In this paper, based on our earlier research, we have proposed a four-pronged approach to tackle the emerging pathogens like ZIKV: (a) Epidemiological modelling of spread mechanisms of ZIKV; (b) assessment of the public health risk of newly emerging strains of the pathogens by comparing them with existing strains/pathogens using fast computational sequence comparison methods; (c) implementation of vaccine design methods in order to produce a set of probable peptide vaccine candidates for quick synthesis/production and testing in the laboratory; and (d) designing of novel therapeutic molecules and their laboratory testing as well as validation of new drugs or repurposing of drugs for use against ZIKV. For each of these stages, we provide an extensive review of the technical challenges and current state-of-the-art. Further, we outline the future areas of research and discuss how they can work together to proactively combat ZIKV or future emerging pathogens.

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Exploration of Epidemic Outbreaks Using Machine and Deep Learning Techniques

Jabeen

Khan

Shah

et al. 2023

Engineering Cyber-Physical Systems and Critical Infrastructures

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Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates

Cited by 38 publications

References 31 publications

Ecological processes underlying the emergence of novel enzootic cycles: Arboviruses in the neotropics as a case study

Ecological processes underlying the emergence of novel enzootic cycles: Arboviruses in the neotropics as a case study

Computer-Assisted and Data Driven Approaches for Surveillance, Drug Discovery, and Vaccine Design for the Zika Virus

Exploration of Epidemic Outbreaks Using Machine and Deep Learning Techniques

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