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1.
Ecol Lett ; 25(6): 1534-1549, 2022 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-35318793

RESUMO

The SARS-CoV-2 pandemic has led to increased concern over transmission of pathogens from humans to animals, and its potential to threaten conservation and public health. To assess this threat, we reviewed published evidence of human-to-wildlife transmission events, with a focus on how such events could threaten animal and human health. We identified 97 verified examples, involving a wide range of pathogens; however, reported hosts were mostly non-human primates or large, long-lived captive animals. Relatively few documented examples resulted in morbidity and mortality, and very few led to maintenance of a human pathogen in a new reservoir or subsequent "secondary spillover" back into humans. We discuss limitations in the literature surrounding these phenomena, including strong evidence of sampling bias towards non-human primates and human-proximate mammals and the possibility of systematic bias against reporting human parasites in wildlife, both of which limit our ability to assess the risk of human-to-wildlife pathogen transmission. We outline how researchers can collect experimental and observational evidence that will expand our capacity for risk assessment for human-to-wildlife pathogen transmission.


Assuntos
Animais Selvagens , COVID-19 , Animais , Humanos , Mamíferos , Pandemias , Primatas , Saúde Pública , SARS-CoV-2
2.
Epidemics ; 37: 100507, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34823222

RESUMO

When a novel pathogen emerges there may be opportunities to eliminate transmission - locally or globally - whilst case numbers are low. However, the effort required to push a disease to elimination may come at a vast cost at a time when uncertainty is high. Models currently inform policy discussions on this question, but there are a number of open challenges, particularly given unknown aspects of the pathogen biology, the effectiveness and feasibility of interventions, and the intersecting political, economic, sociological and behavioural complexities for a novel pathogen. In this overview, we detail how models might identify directions for better leveraging or expanding the scope of data available on the pathogen trajectory, for bounding the theoretical context of emergence relative to prospects for elimination, and for framing the larger economic, behavioural and social context that will influence policy decisions and the pathogen's outcome.


Assuntos
Políticas
3.
Nat Microbiol ; 6(12): 1483-1492, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34819645

RESUMO

Better methods to predict and prevent the emergence of zoonotic viruses could support future efforts to reduce the risk of epidemics. We propose a network science framework for understanding and predicting human and animal susceptibility to viral infections. Related approaches have so far helped to identify basic biological rules that govern cross-species transmission and structure the global virome. We highlight ways to make modelling both accurate and actionable, and discuss the barriers that prevent researchers from translating viral ecology into public health policies that could prevent future pandemics.


Assuntos
Interações Hospedeiro-Patógeno , Viroses/virologia , Fenômenos Fisiológicos Virais , Animais , Humanos , Viroses/fisiopatologia , Vírus/genética , Zoonoses/fisiopatologia , Zoonoses/virologia
4.
Epidemics ; 37: 100516, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34775298

RESUMO

The emergence of infectious agents with pandemic potential present scientific challenges from detection to data interpretation to understanding determinants of risk and forecasts. Mathematical models could play an essential role in how we prepare for future emergent pathogens. Here, we describe core directions for expansion of the existing tools and knowledge base, including: using mathematical models to identify critical directions and paths for strengthening data collection to detect and respond to outbreaks of novel pathogens; expanding basic theory to identify infectious agents and contexts that present the greatest risks, over both the short and longer term; by strengthening estimation tools that make the most use of the likely range and uncertainties in existing data; and by ensuring modelling applications are carefully communicated and developed within diverse and equitable collaborations for increased public health benefit.


Assuntos
Surtos de Doenças , Modelos Teóricos , Previsões , Pandemias
5.
Philos Trans R Soc Lond B Biol Sci ; 374(1782): 20190021, 2019 09 30.
Artigo em Inglês | MEDLINE | ID: mdl-31401962

RESUMO

Pathogen circulation among reservoir hosts is a precondition for zoonotic spillover. Unlike the acute, high morbidity infections typical in spillover hosts, infected reservoir hosts often exhibit low morbidity and mortality. Although it has been proposed that reservoir host infections may be persistent with recurrent episodes of shedding, direct evidence is often lacking. We construct a generalized SEIR (susceptible, exposed, infectious, recovered) framework encompassing 46 sub-models representing the full range of possible transitions among those four states of infection and immunity. We then use likelihood-based methods to fit these models to nine years of longitudinal data on henipavirus serology from a captive colony of Eidolon helvum bats in Ghana. We find that reinfection is necessary to explain observed dynamics; that acute infectious periods may be very short (hours to days); that immunity, if present, lasts about 1-2 years; and that recurring latent infection is likely. Although quantitative inference is sensitive to assumptions about serology, qualitative predictions are robust. Our novel approach helps clarify mechanisms of viral persistence and circulation in wild bats, including estimated ranges for key parameters such as the basic reproduction number and the duration of the infectious period. Our results inform how future field-based and experimental work could differentiate the processes of viral recurrence and reinfection in reservoir hosts. This article is part of the theme issue 'Dynamic and integrative approaches to understanding pathogen spillover'.


Assuntos
Quirópteros , Reservatórios de Doenças/veterinária , Infecções por Henipavirus/veterinária , Henipavirus/fisiologia , Animais , Animais de Zoológico , Reservatórios de Doenças/virologia , Gana/epidemiologia , Infecções por Henipavirus/epidemiologia , Infecções por Henipavirus/transmissão , Infecções por Henipavirus/virologia , Prevalência , Estudos Soroepidemiológicos
6.
PLoS Negl Trop Dis ; 13(6): e0007428, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-31194734

RESUMO

The preparedness of health systems to detect, treat, and prevent onward transmission of Ebola virus disease (EVD) is central to mitigating future outbreaks. Early detection of outbreaks is critical to timely response, but estimating detection rates is difficult because unreported spillover events and outbreaks do not generate data. Using three independent datasets available on the distributions of secondary infections during EVD outbreaks across West Africa, in a single district (Western Area) of Sierra Leone, and in the city of Conakry, Guinea, we simulated realistic outbreak size distributions and compared them to reported outbreak sizes. These three empirical distributions lead to estimates for the proportion of detected spillover events and small outbreaks of 26% (range 8-40%, based on the full outbreak data), 48% (range 39-62%, based on the Sierra Leone data), and 17% (range 11-24%, based on the Guinea data). We conclude that at least half of all spillover events have failed to be reported since EVD was first recognized. We also estimate the probability of detecting outbreaks of different sizes, which is likely less than 10% for single-case spillover events. Comparing models of the observation process also suggests the probability of detecting an outbreak is not simply the cumulative probability of independently detecting any one individual. Rather, we find that any individual's probability of detection is highly dependent upon the size of the cluster of cases. These findings highlight the importance of primary health care and local case management to detect and contain undetected early stage outbreaks at source.


Assuntos
Controle de Doenças Transmissíveis/métodos , Surtos de Doenças , Transmissão de Doença Infecciosa , Doença pelo Vírus Ebola/epidemiologia , Doença pelo Vírus Ebola/transmissão , Guiné/epidemiologia , Humanos , Serra Leoa/epidemiologia
7.
Vet J ; 233: 25-34, 2018 03.
Artigo em Inglês | MEDLINE | ID: mdl-29486875

RESUMO

Bat-borne viruses carry undeniable risks to the health of human beings and animals, and there is growing recognition of the need for a 'One Health' approach to understand their frequently complex spill-over routes. While domesticated animals can play central roles in major spill-over events of zoonotic bat-borne viruses, for example during the pig-amplified Malaysian Nipah virus outbreak of 1998-1999, the extent of their potential to act as bridging or amplifying species for these viruses has not been characterised systematically. This review aims to compile current knowledge on the role of domesticated animals as hosts of two types of bat-borne viruses, henipaviruses and filoviruses. A systematic literature search of these virus-host interactions in domesticated animals identified 72 relevant studies, which were categorised by year, location, design and type of evidence generated. The review then focusses on Africa as a case study, comparing research efforts in domesticated animals and bats with the distributions of documented human cases. Major gaps remain in our knowledge of the potential ability of domesticated animals to contract or spread these zoonoses. Closing these gaps will be necessary to fully evaluate and mitigate spill-over risks of these viruses, especially with global agricultural intensification.


Assuntos
Animais Domésticos/virologia , Quirópteros/virologia , Reservatórios de Doenças/virologia , Filoviridae , Henipavirus , África/epidemiologia , Animais , Infecções por Filoviridae/transmissão , Infecções por Filoviridae/veterinária , Infecções por Henipavirus/transmissão , Infecções por Henipavirus/veterinária , Humanos , Zoonoses/transmissão , Zoonoses/virologia
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