Search

Abstract Background Bats (Order Chiroptera) are an important reservoir of emerging zoonotic microbes, including viruses of public health concern such as henipaviruses, lyssaviruses, and SARS-related coronaviruses. Despite the continued discovery of new viruses in bat populations, a significant proportion of these viral agents remain uncharacterized, highlighting the imperative for additional research aimed at elucidating their evolutionary relationship and taxonomic classification. Results In order to delve deeper into the viral reservoir hosted by bats, the present study employed Next Generation Sequencing (NGS) technology to analyze 13,105 swab samples obtained from various locations in China. Analysis of 378 sample pools revealed the presence of 846 vertebrate-associated viruses. Subsequent thorough examination, adhering to the International Committee on Taxonomy of Viruses (ICTV) criteria for virus classification, identified a total of 120 putative viral species with the potential to emerge as novel viruses, comprising a total of 294 viral strains. Phylogenetic analysis of conserved genomic regions indicated the novel virus exhibited a diverse array of viral lineages and branches, some of which displayed close genetic relationships to known human and livestock pathogens, such as poxviruses and pestiviruses. Conclusions This study investigates the breadth of DNA and RNA viruses harbored by bats, delineating several novel evolutionary lineages and offering significant contributions to virus taxonomy. Furthermore, the identification of hitherto unknown viruses with relevance to human and livestock health underscores the importance of this study in encouraging infectious disease monitoring and management efforts in both public health and veterinary contexts. Video Abstract

IntroductionBats are considered the natural reservoirs of several viruses including coronaviruses (CoVs), two genera of which, alpha- and betacoronaviruses, infect humans. Despite widespread screening of bat samples for novel viruses, information on the diversity of coronaviruses in bats inhabiting Russian territory remains scarce. Here, we analyzed the presence and diversity of alphacoronaviruses (Alpha-CoVs) in bats from European Russia.MethodsFourty three fecal samples from bats of 8 species: P. nathusii, P. kuhlii, M. brandtii, M. daubentonii, N. noctula, V. murinus, M. dasycneme, and P. auritus were taken to study.Results and discussionWe detected Alpha-CoV RdRp gene fragments in 30% (13/43) of samples examined in 75% (6/8) of species sampled. Phylogenetic analysis of RdRp showed that most of the identified Alpha-CoV sequences fall into clades within the Pedacovirus subgenus, with minor clusters of nyctacoviruses or myotacoviruses. We assert that closely related pedacoviruses have been circulating for a long time (from 2015 to 2021) in a large region from European Russia to Northern Europe. We propose that closely related pedacoviruses collected from common areas represent a separate species, which we name NE-Alpha coronavirus, with its host being bats of the genus Pipistrellus that inhabit a region from the European part of Russia to Northern Europe. Among the animals sampled, 4.6% (2/43) carried two Alpha-CoVs related to different subgenera (pedacovirus/myotacovirus or pedacovirus/nyctacovirus) simultaneously. We confirmed the presence of two different Alpha-CoV subgenera related to pedacovirus and nyctacovirus in P. kuhlii captured in 2021 and kept in captivity using whole genome sequencing of these viruses. The presence of two or more coronaviruses in one individual animal host is an essential prerequisite for recombination to occur. We also obtained two Alpha-CoV whole genomes from two specimens of P. nathusii captured in 2015. The genomic organization of BatCoV/MOW15-21 and BatCoV/MOW15-23 was similar to other Alpha-CoVs, but the assembled genomes contained a long insertion in the ORF1ab gene which has not been described in other Alpha-CoVs, except for a single sequence from P. nathusii captured in the Netherlands. We propose that the insertion encodes a previously undescribed domain of unknown function, probably related to the SEA domain superfamily.

Abstract Indigenous territories are considered important for conservation, but little is known about their role in maintaining human health. Here we quantified the potential human health and economic benefits of protecting these territories in the Brazilian Amazon, by using cardiovascular and respiratory diseases cases, pollutant and forest cover data. Between 2010 and 2019, 1.68 tons of Particulate Matter of small size (PM2.5) were released every year, with negative effects for human health. A lower number of diseases and infections was also found in municipalities with more forested areas, and with a low level of fragmentation, which probably is related to the potential capacity of the Amazon Forest to absorb PM2.5 (26,376.66 tons year−1, 27% of this absorption capacity in Indigenous territories). Our estimates indicate that by protecting Amazon Indigenous territories, over 15 million of respiratory and cardiovascular cases could be avoided every year, with ~$2 billion USD being saved only in health costs.

Spillovers of Nipah virus (NiV) from Pteropus bats to humans occurs frequently in Bangladesh, but the risk for spillover into other animals is poorly understood. We detected NiV antibodies in cattle, dogs, and cats from 6 sites where spillover human NiV infection cases occurred during 2013–2015.

Bats are presumed reservoirs of diverse α- and β- coronaviruses (CoVs) and understanding the diversity of bat-CoVs and the role bats play in CoV transmission is highly relevant in the context of the current COVID pandemic. We sampled bats in Côte d'Ivoire (2016–2018) living at ecotones between anthropogenic and wild habitats in the Marahoué National Park, a recently encroached protected area, to detect and characterize the CoVs circulating in bats and humans. A total of 314 bats were captured, mostly during the rainy season (78%), and CoV RNA was detected in three of the bats (0.96%). A CoV RNA sequence similar to Chaerephon bat coronavirus/Kenya/KY22/2006 (BtKY22) was found in a Chaerephon cf. pumilus and a Mops sp. fecal swab, while a CoV RNA sequence similar to the two almost identical Kenya bat coronaviruses BtKY55 and BtKY56 (BtKY55/56) was detected in an Epomops buettikoferi oral swab. Phylogenetic analyses indicated differences in the degree of evolutionary host-virus co-speciation for BtKY22 and BtKY55/56. To assess potential for human exposure to these viruses, we conducted human syndromic and community-based surveillance in clinics and high-risk communities. We collected data on participant characteristics, livelihoods, animal contact, and high-risk behaviors that may be associated with exposure to zoonotic diseases. We then collected biological samples for viral testing from 401 people. PCR testing of these biological samples revealed no evidence of CoV infection among the enrolled individuals. We identified higher levels of exposure to bats in people working in crop production and in hunting, trapping and fishing. Finally, we used the ‘Spillover’ risk-ranking tool to assess the potential for viral spillover and concluded that, while there is no evidence to suggest imminent risk of spillover for these CoVs, their host range and other traits suggest caution and vigilance are warranted in people with high exposure risk.

Coronaviruses may spill over from bats to humans. This study uses epidemiological data, species distribution models, and probabilistic risk assessment to map overlap among people and SARSr-CoV bat hosts and estimate how many people are infected with bat-origin SARSr-CoVs in Southeast Asia annually.

Knowledge of the dynamics and genetic diversity of Nipah virus circulating in bats and at the human-animal interface is limited by current sampling efforts, which produce few detections of viral RNA. We report a series of investigations at Pteropus medius bat roosts identified near the locations of human Nipah cases in Bangladesh during 2012–2019. Pooled bat urine was collected from 23 roosts; 7 roosts (30%) had >1 sample in which Nipah RNA was detected from the first visit. In subsequent visits to these 7 roosts, RNA was detected in bat urine up to 52 days after the presumed exposure of the human case-patient, although the probability of detection declined rapidly with time. These results suggest that rapidly deployed investigations of Nipah virus shedding from bat roosts near human cases could increase the success of viral sequencing compared with background surveillance and could enhance understanding of Nipah virus ecology and evolution.

Abstract Background Hunters, vendors, and consumers are key actors in the wildlife trade value chain in North Sulawesi, Indonesia, and potentially face an elevated risk of exposure to zoonotic diseases. Understanding the knowledge, attitudes, and practices (KAP) associated with the risk of zoonotic disease transmission in these communities is therefore critical for developing recommendations to prevent or mitigate zoonotic outbreaks in the future. Methods Qualitative and quantitative methods were combined to understand KAP associated zoonotic diseases transmission risk in communities involved in the wildlife trade in North Sulawesi. Qualitative data were collected through semi-structured ethnographic interviews and focus group discussions (FGDs) while quantitative data were collected using questionnaires. We conducted 46 ethnographic interviews and 2 FGDs in 2016, and 477 questionnaire administrations in 2017–2018 in communities from five districts in North Sulawesi. We also collected biological specimens, including nasal swab, oropharyngeal swab, and blood, from 254 participants. The study sites were targeted based on known wildlife consumption and trade activities. The participants for qualitative data collection were purposively selected while participants for quantitative data collection were randomly selected. Biological samples were tested for five viral families including Coronaviridae, Filoviridae, Flaviviridae, Orthomyxoviridae and Paramyxoviridae. Results Knowledge regarding disease transmission from animals to humans was similar across the participants in qualitative focus groups, including knowledge of rabies and bird flu as zoonotic diseases. However, only a small fraction of the participants from the quantitative group (1%) considered that contact with wild animals could cause sickness. Our biological specimen testing identified a single individual (1/254, 0.004%) who was sampled in 2018 with serological evidence of sarbecovirus exposure. Overall, participants were aware of some level of risk in working with open wounds while slaughtering or butchering an animal (71%) but most did not know what the specific risks were. However, significant differences in the attitudes or beliefs around zoonotic disease risk and health seeking behaviors were observed across our study sites in North Sulawesi. Conclusions Our study showed variable levels of knowledge, attitudes, and practices associated with the risk of zoonotic disease transmission among study participants. These findings can be used to develop locally responsive recommendations to mitigate zoonotic disease transmission.

Abstract Background Interactions between humans and animals are the key elements of zoonotic spillover leading to zoonotic disease emergence. Research to understand the high-risk behaviors associated with disease transmission at the human-animal interface is limited, and few consider regional and local contexts. Objective This study employed an integrated behavioral–biological surveillance approach for the early detection of novel and known zoonotic viruses in potentially high-risk populations, in an effort to identify risk factors for spillover and to determine potential foci for risk-mitigation measures. Method Participants were enrolled at two community-based sites (n = 472) in eastern and western Thailand and two hospital (clinical) sites (n = 206) in northeastern and central Thailand. A behavioral questionnaire was administered to understand participants’ demographics, living conditions, health history, and animal-contact behaviors and attitudes. Biological specimens were tested for coronaviruses, filoviruses, flaviviruses, influenza viruses, and paramyxoviruses using pan (consensus) RNA Virus assays. Results Overall 61/678 (9%) of participants tested positive for the viral families screened which included influenza viruses (75%), paramyxoviruses (15%), human coronaviruses (3%), flaviviruses (3%), and enteroviruses (3%). The most salient predictors of reporting unusual symptoms (i.e., any illness or sickness that is not known or recognized in the community or diagnosed by medical providers) in the past year were having other household members who had unusual symptoms and being scratched or bitten by animals in the same year. Many participants reported raising and handling poultry (10.3% and 24.2%), swine (2%, 14.6%), and cattle (4.9%, 7.8%) and several participants also reported eating raw or undercooked meat of these animals (2.2%, 5.5%, 10.3% respectively). Twenty four participants (3.5%) reported handling bats or having bats in the house roof. Gender, age, and livelihood activities were shown to be significantly associated with participants’ interactions with animals. Participants’ knowledge of risks influenced their health-seeking behavior. Conclusion The results suggest that there is a high level of interaction between humans, livestock, and wild animals in communities at sites we investigated in Thailand. This study highlights important differences among demographic and occupational risk factors as they relate to animal contact and zoonotic disease risk, which can be used by policymakers and local public health programs to build more effective surveillance strategies and behavior-focused interventions.

IntroductionBats are critical to maintaining healthy ecosystems and many species are threatened primarily due to global habitat loss. Bats are also important hosts of a range of viruses, several of which have had significant impacts on global public health. The emergence of these viruses has been associated with land-use change and decreased host species richness. Yet, few studies have assessed how bat communities and the viruses they host alter with land-use change, particularly in highly biodiverse sites.MethodsIn this study, we investigate the effects of deforestation on bat host species richness and diversity, and viral prevalence and richness across five forested sites and three nearby deforested sites in the interior Atlantic Forest of southern Brazil. Nested-PCR and qPCR were used to amplify and detect viral genetic sequence from six viral families (corona-, adeno-, herpes-, hanta-, paramyxo-, and astro-viridae) in 944 blood, saliva and rectal samples collected from 335 bats.ResultsWe found that deforested sites had a less diverse bat community than forested sites, but higher viral prevalence and richness after controlling for confounding factors. Viral detection was more likely in juvenile males located in deforested sites. Interestingly, we also found a significant effect of host bat species on viral prevalence indicating that viral taxa were detected more frequently in some species than others. In particular, viruses from the Coronaviridae family were detected more frequently in generalist species compared to specialist species.DiscussionOur findings suggest that deforestation may drive changes in the ecosystem which reduce bat host diversity while increasing the abundance of generalist species which host a wider range of viruses.

Abstract One Health is a cross‐sectoral and transdisciplinary approach that emphasizes the fundamental ways in which the health of humans, domestic and wild animals, fungi, plants, microbes, and natural and built ecosystems are interdependent. One Health approaches recognize the links between human health and a range of environmental concerns including biodiversity, climate, freshwater, food, harmful chemicals, and healthy oceans. Yet the conservation community and its broad interest in biodiversity and the natural world has been notably lacking in discussions about One Health. Partly as a result, both policy and practice have been narrowly focused on one or a few links between human and other healths, such as the human and wildlife health nexus. We provide a set of principles and components that will balance existing discussions by including the natural world and biodiversity and provide a framework for more active involvement by the conservation community. Incorporating these principles and components will enable One Health practice to guide inclusive, multidisciplinary, and cross‐sectoral efforts that consider the shared costs and benefits of human, animal, plant, and ecosystem health and help readjust humanity's pursuit of a green, just, and equitable sustainability pathway.

Background: The 2014 Ebola crisis in West Africa mainly affected Guinea, Liberia, and Sierra Leone, claiming the lives of over 11 000 people, including health-care workers. Following this crisis, the Ebola Host Project worked to identify the wildlife reservoir for the virus that started the epidemic, to detect other related filoviruses, and to better understand ecological and human behavioral dynamics that could inform future risk reduction and prevention strategies. Here, we report key ecological and behavioral results for Liberia. Methods: In Liberia, this cross-sectional study was conducted in 13 sites throughout eight counties. The project used a One Health biological-behavioral surveillance approach that included catch-and-release wildlife sampling and behavioral risk surveys. These sites were chosen from counties with forested areas inhabited by bats and rodents and included counties that were both severely and minimally impacted by the Ebola crisis. The analysis included 5000 bat and rodent biological samples, and the behavioural risk survey included 585 enrolled human participants from eight counties. Participants were selected from villages within a 5 km range of the 18 sampling sites, and they provided writteninformed consent. In addition to US based approvals, the Liberian National Ethical and Review Board, the Liberian Forest Development Authority and local government authorities approved the study and community work. Findings: This sampling effort led to the first-time discovery of an Ebolavirus in a west African bat (Miniopterus inflatus) in January 2019. Across five of the eight counties, including Nimba County where the infected Miniopterus inflatus was sampled, mosquitos and tsetse flies were also identified as present vectors. Respondents reported the ways in which they interfaced with taxa of interest such as rodents. These interactions included wildlife consumption and proximity to human dwellings—interactions that present the risk of zoonotic infections that may go misdiagnosed as fevers of unknown origin. Respondents additionally described gaps in knowledge around topics such as the aetiology of Ebola in Liberia, as well as changes in the level of concern towards Ebola risk, which rose during the crisis but later returned to pre-crisis levels. Interpretation: Our results highlight how, against the backdrop of human-wildlife interactions in these Liberian communities that present spillover risk, there exist opportunities to bridge knowledge gaps and create cues to encourage continued vigilance against transmission. Funding: This project was funded by USAID, and analysis with regard to the risk of acute febrile illnesses continues with funding from the US Defense Threat Reduction Agency.

Emerging diseases of zoonotic origin such as COVID-19 are a continuing public health threat in China that lead to a significant socioeconomic burden. This study reviewed the current laws and regulations, government reports and policy documents, and existing literature on zoonotic disease preparedness and prevention across the forestry, agriculture, and public health authorities in China, to articulate the current landscape of potential risks, existing mandates, and gaps. A total of 55 known zoonotic diseases (59 pathogens) are routinely monitored under a multi-sectoral system among humans and domestic and wild animals in China. These diseases have been detected in wild mammals, birds, reptiles, amphibians, and fish or other aquatic animals, the majority of which are transmitted between humans and animals via direct or indirect contact and vectors. However, this current monitoring system covers a limited scope of disease threats and animal host species, warranting expanded review for sources of disease and pathogen with zoonotic potential. In addition, the governance of wild animal protection and utilization and limited knowledge about wild animal trade value chains present challenges for zoonotic disease risk assessment and monitoring, and affect the completeness of mandates and enforcement. A coordinated and collaborative mechanism among different departments is required for the effective monitoring and management of disease emergence and transmission risks in the animal value chains. Moreover, pathogen surveillance among wild animal hosts and human populations outside of the routine monitoring system will fill the data gaps and improve our understanding of future emerging zoonotic threats to achieve disease prevention. The findings and recommendations will advance One Health collaboration across government and non-government stakeholders to optimize monitoring and surveillance, risk management, and emergency responses to known and novel zoonotic threats, and support COVID-19 recovery efforts.