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One Health

Elsevier BV

All preprints, ranked by how well they match One Health's content profile, based on 29 papers previously published here. The average preprint has a 0.02% match score for this journal, so anything above that is already an above-average fit. Older preprints may already have been published elsewhere.

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Active surveillance of cats and dogs from households with human COVID-19 cases reveals over one quarter of pets infected with SARS-CoV-2 in 2020-2021 in Texas, United States

Pauvolid-Correa, A.; Davila, E.; Auckland, L.; Zecca, I. B.; Busselman, R. E.; Tang, W.; Roundy, C. M.; Killian, M. L.; Torchetti, M. K.; Jenkins-Moore, M.; Robbe-Austerman, S.; Lantz, K.; Mozingo, K.; Tell, R.; Lim, A.; Akpalu, Y.; Fischer, R. S. B.; Ferreira, F. C.; Hamer, G. L.; Hamer, S. A.

2025-02-04 microbiology 10.1101/2025.02.03.636361 medRxiv
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Households where people have COVID-19 are high risk environments for companion animals that are susceptible to SARS-CoV-2. We sampled 579 pets from 281 households with one or more laboratory-confirmed person with COVID-19 in central Texas from June 2020 to May 2021. Nineteen out of 396 (4.8%) dogs and 21 out of 157 (13.4%) cats were positive for SARS-CoV-2 by RT-qPCR. Additionally, 95/382 (25%) dogs and 52/146 (36%) cats harbored SARS-CoV-2 neutralizing antibodies. Twenty-six companion animals of ten other species were negative. Overall, 164 (29%) pets were positive for SARS-CoV-2 by molecular and/or serological tests; a total of 110 (39%) out of 281 households had at least one animal with active or past SARS-CoV-2 infection. Cats were more likely to be infected by SARS-CoV-2 and had higher endpoint antibody titers than dogs. Through viral isolation from a subset of respiratory swabs, we documented 6 different lineages in dogs and cats, including the B.1.1 lineage in a cat one month prior to the first known human case in the country. We observed animal and human-pet interaction factors associated with higher risk of infection for dogs and cats, such as days after COVID-19 diagnosis and sharing food. Frequency of clinical signs of disease reported by owners of pets with active infections did not differ from uninfected ones, suggesting that not all reported signs are attributed to SARS-CoV-2 infection. Characterizing animal infections using active SARS-CoV-2 surveillance in pets at risk of infection may aid in One Health pandemic prevention, response, and management.

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Household transmission of SARS-CoV-2 from humans to dogs in Washington and Idaho: burden and risk factors

Meisner, J.; Baszler, T.; Kuehl, K.; Ramirez, V.; Baines, A.; Frisbie, L.; Lofgren, E.; DeAvila, D.; Wolking, R.; Bradway, D.; Rabinowitz, P.

2021-04-26 microbiology 10.1101/2021.04.24.440952 medRxiv
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SARS-CoV-2 is believed to have emerged from an animal reservoir; however, the frequency of and risk factors for inter-species transmission remain unclear. We carried out a community-based study of pets in households with one or more confirmed SARS-CoV-2 infection in humans. Among 119 dogs and 57 cats with completed surveys, clinical signs consistent with SARS-CoV-2 were reported in 20 dogs (21%) and 19 cats (39%). Out of 81 dogs and 32 cats sampled for testing, 40% of dogs and 43% of cats were seropositive, and 5% of dogs and 8% of cats were PCR positive; this discordance may be due to delays in sampling. Respondents commonly reported close human-animal contact and willingness to take measures to prevent transmission to their pets. Reported preventative measures showed a slightly protective trend for both illness and seropositivity in pets, while sharing of beds and bowls had slight harmful effects.

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Drivers of host-pathogen community assemblies in European forests and urban green spaces

Sluydts, V.; Bouilloud, M.; Galan, M.; Alburkat, H.; Bordes, A.; Bourret, V.; Colombo, V.; DeBruyn, L.; Dutra, L.; Eccard, J.; Firozpoor, J.; Gallet, R.; Grzybek, M.; Henttonen, H.; Jacob, J.; McManus, A.; Sironen, T.; Stuart, P.; Tatard, C.; Roche, B.; Leirs, H.; Charbonnel, N.

2024-09-22 ecology 10.1101/2024.09.19.613856 medRxiv
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Major advances in the understanding of infectious diseases have been achieved in the last decades. However, the persistence and re-emergence of pathogens continue to raise public and veterinary health concerns, of which the recent COVID-19 pandemic may be one of the most dramatic examples. Understanding the impact of habitat alterations and concomitant biodiversity loss on pathogen transmission and emergence from wildlife remains challenging. Here, we aim to elucidate the interlinkages between biodiversity and rodent-borne diseases at local and European scales. We present recently collected host-pathogen data from 21 temperate forest sites and eight urban green spaces throughout five European countries, environments where rodents are abundant and human/domestic animals - wildlife interactions are likely to occur. 3766 specimens were analyzed during the period from 2020 to 2022 comprising 15 different small mammal species. Different organ tissues of each specimen were screened for bacteria by either 16S rRNA amplicon sequencing or specific PCR. The presence of antibodies to different families of viruses was screened using immunofluorescent assays. A multitude of pathogens of zoonotic potential from several genera including Bartonella, Borrelia, Mycoplasma, Anaplasma, Neoehrlichia, Leptospira, Orthohantavirus and Orthopoxvirus were detected at non-negligible prevalence in 11 different terrestrial mammal species. A shift in host community composition was observed along the anthropization gradient with more urban adapters in more anthropized sites. Pathogen richness increased with an increase in host species diversity, following the "host-diversity begets parasite-diversity" hypothesis. The absence of some vector-transmitted parasites in urban areas suggests a shift in pathogen community along the anthropization gradient. Host species and host intrinsic factors were dominant explanatory variables for endoparasitic Mycoplasma species and Sarcocystidae, while extrinsic environmental and climatic factors where influential in explaining variations in occurrences of several vector-transmitted pathogens. Apodemus sylvaticus and Clethrionomys glareolus were important connector host species in respectively urban green spaces and temperate forests. Increased host diversity, but not anthropization, correlated with a richer pathogen community. These results ultimately lead to an increased understanding of the complex host-pathogen system at the local landscape that can aid future management decisions and support the public health sector.

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Serological investigation of influenza D virus in cats and dogs in Europe

Trombetta, C.; Fiori, A.; Falsini, A.; Pellegrini, f.; Le Poder, S.; Eichenbaum, A.; Cardona, V.; Oliva, J.; Meyer, G.; Muzyka, N.; Muzyka, D.; Montomoli, E.; Di Martino, B.; Ducatez, M.; Lanave, G.; Martella, V.; Camero, M.

2026-01-08 immunology 10.64898/2026.01.03.697426 medRxiv
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A multicentric European study investigated the seroprevalence of influenza D virus (IDV) in domestic cats and dogs. Serum samples from Italy, France and Ukraine (2015-2018, 2020, 2023-2024) showed no IDV positivity in Italy or in France. In Ukraine, 2.46% of dogs and 0.85% of cats tested positive in 2024.

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Quantifying Uncertainty in ESBL Enterobacterales Transmission from Animals and Environment to Humans in Singapore: A Structured Expert Judgment Approach

Xie, Y.; Graves, N.; Lim, Z. Z.; Mo, Y.; Srivastava, I. M.; Teerawattananon, Y.; Wee, H. L.; Morton, A.

2025-11-27 health economics 10.1101/2025.11.24.25340850 medRxiv
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ObjectivesTo estimate daily transmission rates of ESBL-producing Enterobacterales across hospital environment surface, animal, and community environmental settings in Singapore to address scarce empirical data that constrains One Health modelling and policy design. MethodsA structured expert elicitation was conducted with a panel of eight experts: three for the clinical sector, three for the environmental sector, and two for the animal sector. Expert judgments were aggregated using both equal-weighting and Cookes Classical Model (performance-weighting) for hospital and companion-animal pathways, but only equal-weighting was used for the community-environment pathway. ResultsUnder performance weighting, the daily transmission rate was 2.19 per person-day (95% Credible Interval [CrI] 0.16-10.47) for the hospital-surface pathway and 0.03 (95% CrI 0.00-0.11) for the companion-animal pathway. The corresponding equal-weighted estimates were 0.20 (95% CrI 0.01-2.77) and 2.13 (95% CrI 0.09-24.02), respectively. For the community-environment pathway (equal-weighted only), the rate was 0.81 (95% CrI 0.10-4.12). ConclusionsThese findings suggest that environmental and hospital pathways may represent important but uncertain contributors to ESBL-producing Enterobacterales spread in urban contexts, whereas animal-associated transmission appears limited. This study demonstrates that structured expert elicitation can provide systematic probabilistic priors for transmission and cost-effectiveness models, directly informing future resource allocation and the development of prevention and control strategies. HighlightsO_LIWe addressed the lack of empirical data on ESBL-producing Enterobacterales cross-setting transmission by using Structured Expert Elicitation to generate systematic, probabilistic priors for One Health models. C_LIO_LIEstimated daily transmission rates suggest that environmental and hospital pathways are uncertain but potentially significant contributors to ESBL spread, whereas animal-associated transmission appears limited in the urban context. C_LIO_LIThese novel probabilistic priors can be directly embedded into cost-effectiveness models to inform future resource allocation and the development of data-driven antimicrobial resistance control strategies. C_LI

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Addressing a complicated problem: can COVID-19 asymptomatic cases be detected and epidemics stopped, when testing is limited and the location of such cases unknown?

Rivas, A. L.; Hoogesteyn, A. L.; Hittner, J.; Fasina, F. O.; van Regenmortel, M. H. V.

2020-11-13 health economics 10.1101/2020.11.10.20223495 medRxiv
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Can the COVID-19 pandemic be stopped when the principal disseminators -asymptomatic cases- are not easily observable? This question was addressed exploring the cumulative epidemiologic data reported by 51 countries, up to October 2, 2020. In particular, the validity of test positivity and its inverse (the ratio of tests performed per case detected) to indicate whether asymptomatic cases are being detected and isolated -even when only a minor percentage of the population is tested- was evaluated. By linking test positivity data to the number of COVID-19 related deaths reported per million inhabitants, the research question was answered: countries that expressed a high percentage of test positivity (>5%) reported, on average, 15 times more deaths than countries that exhibited <1% test positivity. It is suggested that such a large difference in outcomes is due to the exponential growth that epidemics may experience when silent (asymptomatic) cases are not detected and, consequently, the disease disseminates. Because temporal and geo-referenced data on test positivity may facilitate cost-effective, site-specific testing policies, it is postulated that the risk of uncontrolled epidemics may be ameliorated when test positivity is investigated.

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The catscape: spatial manifestation of a pet cat population with outdoor access

Bischof, R.; Hansen, N. R.; Skarsgard Nyheim, O.; Kisen, A.; Prestmoen, L.; Haugaasen, T.

2021-12-21 ecology 10.1101/2021.12.20.473457 medRxiv
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The domestic cat (Felis catus) is the most popular companion animal and the most abundant carnivore globally. It is also a pet with an immense ecological footprint, because even non-feral and food-subsidized cats are prolific predators. Whereas knowledge about the spatial behavior of individual domestic cats is growing, we still know little about how a local population of free-ranging pet cats occupies the landscape. Using a citizen science approach, we GPS-tagged 92 pet cats with outdoor access living in a residential area in southern Norway. The resulting position data allowed us to construct both individual home range kernels and a population-level utilization distribution. Our results reveal a dense predatory blanket that outdoor cats drape over and beyond the urban landscape. It is this population-level intensity surface - the "catscape" - that potential prey have to navigate. There were almost no gaps in the catscape within our residential study area and therefore few terrestrial refuges from potential cat predation. However, cats spent on average 79% of their outdoor time within 50 meters to their owners home, which suggests that the primary impact is local and most acute for wildlife in the vicinity to homes with cats. We discuss the catscape as a conceptual and quantitative tool for better understanding and mitigating the environmental impact of domestic cats.

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Towards One Health surveillance of antibiotic resistance, use and residues of antibiotics in France: characterisation and mapping of existing programmes in humans, animals, food and the environment

Collineau, L.; Bourely, C.; Rousset, L.; Berger Carbonne, A.; Ploy, M.-C.; Pulcini, C.; Colomb-Cotinat, M.

2022-11-15 epidemiology 10.1101/2022.11.14.22281639 medRxiv
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International organizations are calling for One Health approaches to tackle antibiotic resistance (ABR). In France, the diversity of surveillance programmes makes it difficult to get an overview of the current surveillance system and its level of integration. This study aimed to map and characterise all French surveillance programmes for ABR, antibiotic use (ABU) and antibiotic residues in humans, animals, food and the environment, to identify integration points, gaps and overlaps. A literature review and interviews with 36 programme coordinators were conducted to identify and characterise programmes using a standardized grid (28 variables). Forty-eight programmes were included. They targeted the human (n=35), animal (n=12), food (n=3) and/or the environment (n=1); 35 programmes focused on ABR, 14 on ABU and two on antibiotic residues. Two programmes were cross-sectoral. Among the 35 ABR programmes, 23 collected bacterial isolates. Bacteria most targeted were Escherichia coli (n=17 programmes), Klebsiella pneumoniae (n=13), and Staphylococcus aureus (n=12). ESBL-producing E. coli was monitored by the majority of ABR programmes in humans, animals and food, and is a good candidate for integrated data analysis. ABU indicators were highly variable. Areas poorly covered were the environmental sector, overseas territories, ABR colonisation in humans and ABU in companion animals. The French surveillance system appears rich and extensive, but with gaps and only few integration points. We believe this mapping will be of high interest to policy makers and surveillance stakeholders, and that our methodology may inspire other countries willing to progress towards One Health surveillance of ABR.

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Modeling the spatio-temporal annual changes in human tick-borne encephalitis (TBE) risk in Europe

Dagostin, F.; Erazo Quintero, D.; Marini, G.; Da Re, D.; Tagliapietra, V.; Avdicova, M.; Avsic-Zupanc, T.; Dub, T.; Fiorito, N.; Knap, N.; Gossner, C. M.; Kerlik, J.; Makela, H.; Markowicz, M.; Olyazadeh, R.; Richter, L.; Wint, W.; Zuccali, M. G.; Zygutiene, M.; Dellicour, S.; Rizzoli, A.

2024-10-21 ecology 10.1101/2024.10.18.619031 medRxiv
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IntroductionTick-borne encephalitis (TBE), caused by tick-borne encephalitis virus (TBEV), is a zoonotic disease that can cause severe neurological symptoms. Given the increasing number of reported human TBE cases in Europe, a spatio-temporal predictive model to infer the year-to-year probability of human TBE occurrence across Europe at the regional and municipal administrative levels was developed. MethodsThe distribution of human TBE cases at the regional (NUTS-3) level during the period 2017-2022, was derived by using data provided by the European surveillance system (TESSy, ECDC), and at the municipal level by using data from Austria, Finland, Italy, Lithuania, and Slovakia. The probability of presence of human TBE cases at the regional and municipal levels for the period 2017-2024 was modeled with a boosted regression trees model, including covariates that affect both the natural hazard of virus circulation and human exposure to tick bites. ResultsAreas with the highest probability of human TBE infections are primarily located in central-eastern Europe, the Baltic states, and along the coastline of Nordic countries up to the Bothnian Bay. Our results also highlight a statistically significant rising trend in the probability of human TBE infections not only in north-western, but also in south-western European countries, offering a spatio-temporal predictive framework for the assessment of areas where human TBE infection are most likely to occur. The model showed good predictive performance, with a mean AUC of 0.85 (SD = 0.02), sensitivity of 0.82, and specificity of 0.80 at the regional level, and a mean AUC of 0.82 (SD = 0.03), sensitivity of 0.80, and specificity of 0.69 at the municipal level. DiscussionWith ongoing climate and land use changes, the number of human TBE cases is likely to increase and expand into new areas, as trends are already indicating. This underscores the need for predictive models that can help prioritize intervention efforts. The approach adopted, by leveraging lagged covaries, enables timely one-year-ahead predictions, thus supporting surveillance, prevention, and control of human TBE infections by public health authorities. StatementsO_ST_ABSEthical statementC_ST_ABSEthical approval was not needed. Funding statementThis project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 874850 and is catalogued as MOOD 081. The contents of this publication are the sole responsibility of the authors and dont necessarily reflect the views of the European Commission. Conflict of interestNone. Authors contributionsFrancesca Dagostin: Conceptualization, Methodology, Data Curation, Formal Analysis, Writing - Original Draft. Diana Erazo: Conceptualization, Methodology, Writing - Review & Editing. Giovanni Marini: Conceptualization, Methodology, Writing - Review & Editing. Daniele Da Re: Conceptualization, Methodology, Writing - Review & Editing. Valentina Tagliapietra: Conceptualization, Methodology, Writing - Review & Editing. Maria Avdicova: Resources, Writing - Review & Editing. Tatjana Av[s]i[c] - [Z]upanc: Resources, Writing - Review & Editing. Timothee Dub: Conceptualization, Resources, Writing - Review & Editing. Nahuel Fiorito: Resources, Writing - Review & Editing. Nata[s]a Knap: Resources, Writing - Review & Editing. Celine M. Gossner: Resources, Writing - Review & Editing. Jana Kerlik: Resources, Writing - Review & Editing. Henna Makela: Resources, Writing - Review & Editing. Mateusz Markowicz: Resources,Writing - Review & Editing. Roya Olyazadeh: Resources, Writing - Review & Editing. Lukas Richter: Resources, Writing - Review & Editing. William Wint: Resources, Writing - Review & Editing. Maria Grazia Zuccali: Resources, Writing - Review & Editing. Milda [Z]ygutiene: Resources, Writing - Review & Editing. Simon Dellicour: Methodology, Writing - Review & Editing. Annapaola Rizzoli: Conceptualization, Methodology, Writing - Review & Editing. Data availabilityThe data that support the findings of this study were provided by ECDC, Azienda Provinciale per i Servizi Sanitari Provincia Autonoma di Trento (APSS), Unita Locale Socio Sanitaria Dolomiti (ULSS N.1 Dolomiti), Public Health Authority of the Slovak Republic, Austrian Agency for Health and Food Safety (AGES), Finnish Institute for Health and Welfare (THL), National Public Health Center under the Ministry of Health (Lithuania) and University of Ljubljana. Restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. The interactive risk maps can be explored in detail at https://mood-platform.avia-gis.com. DisclaimerThe views and opinions of the authors expressed herein do not necessarily state or reflect those of ECDC. The accuracy of the authors statistical analysis and the findings they report are not the responsibility of ECDC. ECDC is not responsible for conclusions or opinions drawn from the data provided. ECDC is not responsible for the correctness of the data and for data management, data merging and data collation after provision of the data. ECDC shall not be held liable for improper or incorrect use of the data.

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Evidence of exposure to SARS-CoV-2 in cats and dogs from households in Italy

Patterson, E. I.; Elia, G.; Grassi, A.; Giordano, A.; Desario, C.; Medardo, M.; Smith, S. L.; Anderson, E. R.; Lorusso, E.; Lucente, M. S.; Lanave, G.; Lauzi, S.; Bonfanti, U.; Stranieri, A.; Martella, V.; Solari Basano, f.; Barrs, V. R.; Radford, A. D.; Hughes, G. L.; Paltrinieri, S.; Decaro, N.

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SARS-CoV-2 originated in animals and is now easily transmitted between people. Sporadic detection of natural cases in animals alongside successful experimental infections of pets, such as cats, ferrets and dogs, raises questions about the susceptibility of animals under natural conditions of pet ownership. Here we report a large-scale study to assess SARS-CoV-2 infection in 817 companion animals living in northern Italy, sampled at a time of frequent human infection. No animals tested PCR positive. However, 3.4% of dogs and 3.9% of cats had measurable SARS-CoV-2 neutralizing antibody titers, with dogs from COVID-19 positive households being significantly more likely to test positive than those from COVID-19 negative households. Understanding risk factors associated with this and their potential to infect other species requires urgent investigation. One Sentence SummarySARS-CoV-2 antibodies in pets from Italy.

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Cross-sector collaboration reduces SARS-CoV-2 risk in deer

Cook, J. D.; Rosenblatt, E.; DiRenzo, G. V.; Campbell Grant, E. H.; Mosher, B.; Arce, F.; Christensen, S.; Ghai, R.; Runge, M.

2023-10-17 ecology 10.1101/2023.10.13.562192 medRxiv
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One Health helps achieve optimal health outcomes for people, animals, plants, and their shared environments. We describe a multidisciplinary effort to better understand and mitigate SARS-CoV-2 spread in white-tailed deer across One Health sectors. We first framed the risk problem with three governance sectors that manage captive and wild deer and human public health. The framing included the objectives for each sector, interactions that facilitate human-to-deer and deer-to-deer transmission, and alternatives intended to reduce risk. We then developed a dynamic compartmental model that linked wild and captive deer herds and humans and simulated SARS-CoV-2 dynamics. For baseline conditions, we estimated that median SARS-CoV-2 prevalence in wild and captive herds varied between 0.03 - 0.07, incidence between 0.68 - 1.46, and probability of persistence between 0.64 - 0.97 across 120-day simulations. We then tested single-sector alternatives alone and in combination with other sector actions. We found that single sector alternatives varied in their ability to reduce transmission and that the best performing alternative required collaborative actions among wildlife management, agricultural management, and public health agencies.

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Linking mpox wastewater surveillance with reported clinical cases in three countries in Sub-Saharan Africa

Sgarabotto, E.; Tiwari, A.; Kabena, M.; Lyimo, E.; Lompo, P.; Shea, D.; Ngelesi, E.; Mushumbusi, J. P.; Zakaria, G.; Msoma, E.; Kabore, B.; Mnyawonga, S. C.; Yougbare, S.; Chuwa, M.; Tran, T. T.; Salmivirta, E.; Miller, T.; Rytkonen, A.; Lood, R.; Krolicka, A.; Tahita, M. C.; Baraka, V.; Maketa, V.; Pitkanen, T.

2026-06-23 occupational and environmental health 10.64898/2026.06.18.26355929 medRxiv
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The emergence of the novel monkeypox virus (MPXV) clade Ib in the Democratic Republic of the Congo (DRC) and neighboring countries in late 2023 highlighted the need for rapid, scalable surveillance approaches to support outbreak detection and response. As part of the ODIN-Mpox project, wastewater surveillance (WWS) systems were established as an emergency public health measure in three Sub-Saharan African countries (DRC, Tanzania, and Burkina Faso) to evaluate the feasibility of wastewater-based monitoring for mpox and strengthen local surveillance capacity. Between January 2025 and April 2026, 117 wastewater samples were collected from selected sites and analyzed for MPXV DNA using targeted qPCR assays. Clinical mpox data were obtained from national surveillance systems and WHO reports to assess epidemiological linkages between wastewater detections and reported infections. Six wastewater samples tested positive for MPXV DNA. During the study period, DRC experienced the highest disease burden, with weekly reported cases peaking at about 3,000 in January 2025, while Tanzania reported a peak of 20 weekly cases in March 2025. No confirmed clinical cases were reported in Burkina Faso. No clear relationship was observed between reported case numbers and qPCR Ct values in positive wastewater samples. Despite the low detection frequency, the project demonstrated the operational feasibility of implementing MPXV wastewater surveillance in resource-limited settings and established laboratory capacity for environmental monitoring of emerging infectious diseases. Given the early stage of WWS implementation in the region, the study identified opportunities for further system strengthening, including optimization of sample processing and reporting workflows, improved access to laboratory supplies, and enhanced integration of environmental and clinical surveillance data streams. These findings highlight the value of WWS as a complementary component of integrated public health surveillance systems and emphasize the need for continued investment in laboratory capacity, harmonized methodologies, governance frameworks, and knowledge exchange to enhance outbreak preparedness and response in low-resource settings.

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Emergent strategies for climate protection among German hospitals -- A survey of hospital administrative leaders

Schmidt, L.; Bohnet-Joschko, S.

2024-10-14 health economics 10.1101/2024.10.13.24315412 medRxiv
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Hospitals emit large amounts of greenhouse gas emissions during healthcare delivery due to their extensive resource utilization and substantial waste generation. By implementing climate actions, hospitals can significantly contribute to climate protection in healthcare. This paper delves into the climate protection efforts of German hospitals, with a specific focus on the emergent strategies of hospital administrative leaders and the employee engagement within the framework of Stakeholder Theory. The investigation is based on primary data from an online survey of hospital administrative leaders in German hospitals. Employing a hierarchical cluster analysis, the study identifies four distinct clusters of hospitals. These clusters vary significantly in their organization and communication strategies regarding climate protection and allocation of responsibilities, indicating that German hospitals prioritize climate protection to varying degrees. The findings suggest that employee engagement depends on how hospital administrative leaders organize and communicate the topic of climate protection in their institutions. The study underscores the importance of strategic leadership for climate protection in hospitals.

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Potential Pathways of Spread of Highly Pathogenic Avian Influenza A/H5N1 Clade 2.3.4.4b Across Dairy Farms in the United States

Stone, H.; Jindal, M.; Lim, S.; Dawson, R.; Quigley, A.; Scotch, M.; MacIntyre, C. R.

2024-05-04 epidemiology 10.1101/2024.05.02.24306785 medRxiv
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The emergence of Highly Pathogenic Avian Influenza (HPAI) A/H5N1 clade 2.3.4.4b has led to an unprecedented intercontinental spread, affecting a broad spectrum of avian and mammalian species. Recent outbreaks in US dairy farms, underscore the urgent need to understand the transmission pathways. The study aimed to evaluate the modes of introduction and transmission to dairy farms, through geospatial and exposure analyses. Our findings favour a singular introduction over multiple independent introductions, with non-waterfowl species exhibiting the highest dairy farm exposure, which is a major shift from historical waterfowl spread. Moreover, bidirectional spread between cattle and poultry highlights the intricate nature of disease transmission within the agricultural ecosystem. Additional factors such as livestock trade, poultry litter feed and contaminated milking machinery likely contributed to the amplification of the outbreaks throughout the United States. As large-scale outbreaks persist in the United States, the likelihood of a human pandemic increases, making it imperative to enact and sustain heightened surveillance measures across all potentially impacted species.

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Surveillance for SARS-CoV-2 in Ohio's wildlife, companion, and agricultural animals

Ehrlich, M.; Madden, C.; McBride, D.; Nolting, J. M.; Huey, D.; Kenney, S.; Wang, Q.; Saif, L.; Vlasova, A.; Dennis, P.; Lombardi, D.; Gibson, S.; McLaine, A.; Lauterbach, S.; Yaxley, P.; Winston, J.; Diaz-Campos, D.; Pesapane, R.; Flint, M.; Flint, J.; Junge, R.; Faith, S. A.; Bowman, A. S.; Hale, V. L.

2022-12-30 microbiology 10.1101/2022.12.30.522311 medRxiv
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in humans in late 2019 and spread rapidly to become a global pandemic. A zoonotic spillover event from animal to human was identified as the presumed origin. Subsequently, reports began emerging regarding spillback events resulting in SARS-CoV-2 infections in multiple animal species. These events highlighted critical links between animal and human health while also raising concerns about the development of new reservoir hosts and potential viral mutations that could alter virulence and transmission or evade immune responses. Characterizing susceptibility, prevalence, and transmission between animal species became a priority to help protect animal and human health. In this study, we coalesced a large team of investigators and community partners to surveil for SARS-CoV-2 in domestic and free-ranging animals around Ohio between May 2020 and August 2021. We focused on species with known or predicted susceptibility to SARS-CoV-2 infection, highly congregated or medically compromised animals (e.g. shelters, barns, veterinary hospitals), and animals that had frequent contact with humans (e.g. pets, agricultural animals, zoo animals, or animals in wildlife hospitals). This included free-ranging deer (n=76), mink (n=57), multiple species of bats (n=65), and other wildlife in addition to domestic cats (n=275) and pigs (n= 184). In total, we tested 800 animals (34 species) via rRT-PCR for SARS-CoV-2 RNA. SARS-CoV-2 viral RNA was not detected in any of the tested animals despite a major peak in human SARS-CoV-2 cases that occurred in Ohio subsequent to the peak of animal samplings. Importantly, due to lack of validated tests for animals, we did not test for SARS-CoV-2 antibodies in this study, which limited our ability to assess exposure. While the results of this study were negative, the surveillance effort was critical and remains key to understanding, predicting, and preventing re-emergence of SARS-CoV-2 in humans or animals.

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Antibiotic pressures in livestock and meat systems: evidence and interventions for a One Health future

Lu, Y.; Ma, H.

2025-09-07 ecology 10.1101/2025.09.03.673933 medRxiv
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Antibiotic use (ABU) in livestock is a major driver of antimicrobial resistance, yet global levels, determinants, and long-term trajectories remain poorly resolved. We compiled a harmonized dataset across countries for 2020 and a longitudinal series of meat production from 1961 to 2023 to quantify patterns, evaluate socioeconomic and regulatory correlates, and forecast to 2050 using a production linked proxy model. Total ABU correlated strongly with national meat output (Spearman r = 0.906, p < 0.001). ABU intensity in milligrams per kilogram meat was highly heterogeneous and showed no global association with production. Gross domestic product per capita was unrelated to total use or intensity, learning adjusted years of schooling related only weakly to intensity, and legal controls on use or sales alone did not improve efficiency. Projections indicate a near linear rise of about 1,663 tonnes per year, reaching 131,828 tonnes in 2030 and 165,094 tonnes in 2050, with cumulative use in 2020 to 2050 surpassing 1950 to 2020. Reducing intensity by ten to fifty percent by 2050 would avert 16,509 to 82,548 tonnes. Findings motivate an integrated roadmap of source control, farm and market stewardship, and scalable surveillance using production as a proxy within a One Health framework. HighlightsO_LIModern livestock production remains heavily dependent on antibiotics. C_LIO_LIHigher antibiotic use in livestock correlates with lower usage efficiency at the global scale. C_LIO_LICurrent legislative controls on antibiotic use have failed to enhance usage efficiency. C_LIO_LISince the 1950s, global antibiotic use in livestock has followed a steady linear rise, projected to continue through 2050. C_LI

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Projected Burden of Bloodstream Infections and the Impact of Molecular Rapid Diagnostic Testing in England and the United States (2025-2029)

Karichu, J. K.; Pennington, M.; Lander, K.; Smith, T. T.; Thornberg, A.

2026-03-20 health economics 10.64898/2026.03.18.26348587 medRxiv
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Introduction Data on bloodstream infections (BSI) indicate a growth in incidence over time. This analysis utilised national data from England and the best available United States (US) evidence to predict BSI incidence over the years 2025 to 2029. The analysis utilised evidence on the cost-effectiveness of molecular rapid diagnostic tests (mRDT) to estimate the cost and mortality associated with BSI, and the potential for increased use of mRDT to save lives. Methods Data on BSI incidence by age group and sex for England in 2017 and the US (Minnesota) for 2003 to 2005 were combined with demographic projections over the years 2025 to 2029 to estimate the number of BSIs. Published costs and mortality associated with BSI, according to the method of identification of the pathogen, were used to estimate the lives saved and the cost impact of widespread use of mRDT in England and the US. Results BSI cases in England and the US are predicted to total 1.02 million and 6.24 million over the years 2025 to 2029, associated costs are GBP14.6 million and $221 million, respectively. Expanding the use of mRDT would save 2,219 and 7,554 lives in England and the US, respectively, over a 5-year period and would reduce healthcare expenditure in both countries. Conclusion There is a compelling argument to increase the uptake of mRDT to improve patient outcomes. This analysis demonstrates that expanded mRDT adoption can significantly reduce BSI burden, saving over 9,700 lives and decreasing healthcare expenditure in both countries.

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SARS-CoV-2 surveillance between 2020 and 2021 of all mammalian species in two Flemish zoos (Antwerp Zoo and Planckendael Zoo)

Joffrin, L.; Cooreman, T.; Verheyen, E.; Vercammen, F.; Marien, J.; Leirs, H.; Gryseels, S.

2023-02-28 molecular biology 10.1101/2023.02.28.530444 medRxiv
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The COVID-19 pandemic has led to millions of human infections and deaths worldwide. Several other mammal species are also susceptible to SARS-CoV-2, and multiple instances of transmission from humans to pets, farmed mink, wildlife and zoo animals have been recorded. We conducted a systematic surveillance of SARS-CoV-2 in all mammal species in two zoos in Belgium between September and December 2020 and July 2021 in four sessions, and a targeted surveillance of selected mammal enclosures following SARS-CoV-2 infection in hippos in December 2021. A total of 1523 faecal samples were tested for SARS-CoV-2 via real-time PCR. None of the samples tested positive for SARS-CoV-2. Additional surrogate virus neutralization tests conducted on 50 routinely collected serum samples during the same period were all negative. This study is a first to our knowledge to conduct active SARS-CoV-2 surveillance for several months in all mammal species of a zoo. We conclude that at the time of our investigation, none of the screened animals were excreting SARS-CoV-2.

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Serological screening suggests single SARS-CoV-2 spillover events to cattle

Wernike, K.; Boettcher, J.; Amelung, S.; Albrecht, K.; Gaertner, T.; Donat, K.; Beer, M.

2022-01-20 microbiology 10.1101/2022.01.17.476608 medRxiv
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Widespread human SARS-CoV-2 infections pose a constant risk for virus transmission to animals. Here, we serologically investigated 1000 cattle samples collected in late 2021 in Germany. Eleven sera tested antibody-positive, indicating that cattle may be occasionally infected by contact to SARS-CoV-2-positive keepers, but there is no indication of further spreading.

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Opportunity Drives Spillover: Serological Surveillance across Carnivores, Omnivores and Herbivores in an HPAIV H5 Hotspot in North-East Germany, 2023-2025

Günther, A.; Wassermann, J.; Heck, J.; Bussi, M.; Aebischer, A.; Staubach, C.; Bergmann, H.; Leendertz, F. H.; Beer, M.; Schares, G.; Wernike, K.

2025-10-01 ecology 10.1101/2025.09.30.678011 medRxiv
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In North-East Germanys offshore islands and mainland coast, wild ruminants, boar, and carnivores were tested for H5-HPAI antibodies. Wild ruminants were seronegative; 3.5% of boar and 12.5-21.9% of carnivores were seropositive, evidencing frequent spillover. Because such events may accelerate mammalian--and ultimately human--adaptation, sustained One- Health monitoring is essential. SummaryAcross offshore islands and the mainland coast of North-East Germany, H5 HPAI serosurveillance in wildlife found no seroconversion in ruminants, but positives in 3.5% of boar and 12.5-21.9% of carnivores, indicating ongoing spillover and risk of avian-to- mammalian adaptation.