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1.
PLoS Biol ; 19(9): e3001390, 2021 09.
Article in English | MEDLINE | ID: covidwho-1440977

ABSTRACT

Determining which animal viruses may be capable of infecting humans is currently intractable at the time of their discovery, precluding prioritization of high-risk viruses for early investigation and outbreak preparedness. Given the increasing use of genomics in virus discovery and the otherwise sparse knowledge of the biology of newly discovered viruses, we developed machine learning models that identify candidate zoonoses solely using signatures of host range encoded in viral genomes. Within a dataset of 861 viral species with known zoonotic status, our approach outperformed models based on the phylogenetic relatedness of viruses to known human-infecting viruses (area under the receiver operating characteristic curve [AUC] = 0.773), distinguishing high-risk viruses within families that contain a minority of human-infecting species and identifying putatively undetected or so far unrealized zoonoses. Analyses of the underpinnings of model predictions suggested the existence of generalizable features of viral genomes that are independent of virus taxonomic relationships and that may preadapt viruses to infect humans. Our model reduced a second set of 645 animal-associated viruses that were excluded from training to 272 high and 41 very high-risk candidate zoonoses and showed significantly elevated predicted zoonotic risk in viruses from nonhuman primates, but not other mammalian or avian host groups. A second application showed that our models could have identified Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as a relatively high-risk coronavirus strain and that this prediction required no prior knowledge of zoonotic Severe Acute Respiratory Syndrome (SARS)-related coronaviruses. Genome-based zoonotic risk assessment provides a rapid, low-cost approach to enable evidence-driven virus surveillance and increases the feasibility of downstream biological and ecological characterization of viruses.


Subject(s)
Forecasting/methods , Host Specificity/genetics , Zoonoses/genetics , Animals , COVID-19/genetics , COVID-19/prevention & control , Disease Outbreaks/prevention & control , Genome, Viral/genetics , Humans , Machine Learning , Models, Theoretical , Phylogeny , SARS-CoV-2/genetics , SARS-CoV-2/pathogenicity , Viruses/classification , Viruses/genetics , Zoonoses/classification , Zoonoses/virology
2.
Trends Microbiol ; 29(7): 573-581, 2021 07.
Article in English | MEDLINE | ID: covidwho-1130313

ABSTRACT

Emerging zoonotic diseases exert a significant burden on human health and have considerable socioeconomic impact worldwide. In Asia, live animals as well as animal products are commonly sold in informal markets. The interaction of humans, live domestic animals for sale, food products, and wild and scavenging animals, creates a risk for emerging infectious diseases. Such markets have been in the spotlight as sources of zoonotic viruses, for example, avian influenza viruses and coronaviruses, Here, we bring data together on the global impact of live and wet markets on the emergence of zoonotic diseases. We discuss how benefits can be maximized and risks minimized and conclude that current regulations should be implemented or revised, to mitigate the risk of new diseases emerging in the future.


Subject(s)
Commerce/standards , Communicable Diseases, Emerging/etiology , Food , Orthomyxoviridae Infections/transmission , Zoonoses/transmission , Animals , Asia , Birds/virology , COVID-19/transmission , COVID-19/virology , Commerce/legislation & jurisprudence , Commerce/methods , Communicable Diseases, Emerging/prevention & control , Communicable Diseases, Emerging/virology , Crowding , Humans , Influenza in Birds/transmission , Influenza in Birds/virology , Influenza, Human/virology , Orthomyxoviridae Infections/virology , Zoonoses/classification , Zoonoses/virology
3.
Vet Med Sci ; 7(4): 1199-1210, 2021 07.
Article in English | MEDLINE | ID: covidwho-1111252

ABSTRACT

Zoonotic diseases cause repeated outbreaks in humans globally. The majority of emerging infections in humans are zoonotic. COVID-19 is an ideal example of a recently identified emerging zoonotic disease, causing a global pandemic. Anthropogenic factors such as modernisation of agriculture and livestock farming, wildlife hunting, the destruction of wild animal habitats, mixing wild and domestic animals, wildlife trading, changing food habits and urbanisation could drive the emergence of zoonotic diseases in humans. Since 2001, Bangladesh has been reporting many emerging zoonotic disease outbreaks such as nipah, highly pathogenic avian influenza, pandemic H1N1, and COVID-19. There are many other potential zoonotic pathogens such as Ebola, Middle East respiratory syndrome coronavirus, Kyasanur forest disease virus and Crimean-Congo haemorrhagic fever that may emerge in the future. However, we have a limited understanding of zoonotic diseases' overall risk in humans and associated factors that drive the emergence of zoonotic pathogens. This narrative review summarised the major emerging, re-emerging, neglected and other potential zoonotic diseases in Bangladesh and their associated risk factors. Nipah virus and Bacillus anthracis caused repeated outbreaks in humans. More than 300 human cases with Nipah virus infection were reported since the first outbreak in 2001. The highly pathogenic avian influenza virus (H5N1) caused more than 550 outbreaks in poultry, and eight human cases were reported so far since 2007. People of Bangladesh are frequently exposed to zoonotic pathogens due to close interaction with domestic and peri-domestic animals. The rapidly changing intensified animal-human-ecosystem interfaces and risky practices increase the risk of zoonotic disease transmission. The narrative review's findings are useful to draw attention to the risk and emergence of zoonotic diseases to public health policymakers in Bangladesh and the application of one-health approach to address this public health threat.


Subject(s)
COVID-19/epidemiology , Zoonoses/epidemiology , Animals , Bangladesh/epidemiology , COVID-19/classification , Communicable Diseases, Emerging/classification , Communicable Diseases, Emerging/epidemiology , Humans , One Health , Risk Factors , Zoonoses/classification
4.
Front Public Health ; 8: 596944, 2020.
Article in English | MEDLINE | ID: covidwho-979060

ABSTRACT

The World Health Organization defines a zoonosis as any infection naturally transmissible from vertebrate animals to humans. The pandemic of Coronavirus disease (COVID-19) caused by SARS-CoV-2 has been classified as a zoonotic disease, however, no animal reservoir has yet been found, so this classification is premature. We propose that COVID-19 should instead be classified an "emerging infectious disease (EID) of probable animal origin." To explore if COVID-19 infection fits our proposed re-categorization vs. the contemporary definitions of zoonoses, we reviewed current evidence of infection origin and transmission routes of SARS-CoV-2 virus and described this in the context of known zoonoses, EIDs and "spill-over" events. Although the initial one hundred COVID-19 patients were presumably exposed to the virus at a seafood Market in China, and despite the fact that 33 of 585 swab samples collected from surfaces and cages in the market tested positive for SARS-CoV-2, no virus was isolated directly from animals and no animal reservoir was detected. Elsewhere, SARS-CoV-2 has been detected in animals including domesticated cats, dogs, and ferrets, as well as captive-managed mink, lions, tigers, deer, and mice confirming zooanthroponosis. Other than circumstantial evidence of zoonotic cases in mink farms in the Netherlands, no cases of natural transmission from wild or domesticated animals have been confirmed. More than 40 million human COVID-19 infections reported appear to be exclusively through human-human transmission. SARS-CoV-2 virus and COVID-19 do not meet the WHO definition of zoonoses. We suggest SARS-CoV-2 should be re-classified as an EID of probable animal origin.


Subject(s)
COVID-19/classification , Communicable Diseases, Emerging , SARS-CoV-2/classification , Zoonoses , Animals , Animals, Wild , China , Communicable Diseases, Emerging/classification , Communicable Diseases, Emerging/transmission , Communicable Diseases, Emerging/virology , Humans , World Health Organization , Zoonoses/classification , Zoonoses/transmission , Zoonoses/virology
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