Author comment: Overcoming the limitations of wildlife disease monitoring — R0/PR1 DOI Creative Commons
Jorge Ramón López‐Olvera

Published: Sept. 6, 2023

Integrated wildlife monitoring (IWM) combines infection dynamics and the ecology of populations, including aspects defining host community network. Developing implementing IWM is a worldwide priority that faces major constraints biases should be considered addressed when these systems. We identify eleven main limitations in establishment IWM, which could summarized into funding lack harmonization information exchange. The solutions proposed to overcome comprise: (i) selecting indicator species through network analysis, (ii) identifying key pathogens investigate monitor, potentially nonspecific health markers, (iii) improve standardize harmonized methodologies can applied as well communication among stakeholders across within countries, (iv) integration new noninvasive technologies (e.g., camera trapping (CT) environmental nucleic acid detection) tools are under ongoing research artificial intelligence speed-up CT analyses, microfluidic polymerase chain reaction sample volume constraints, or filter paper samples facilitate transport). Achieving optimizing must allows drivers epidemics predicting trends changes disease population before pathogen crosses interspecific barriers.

Language: Английский

Overcoming the limitations of wildlife disease monitoring DOI Creative Commons
Patrícia Barroso, Jorge Ramón López‐Olvera, Théophile Kiluba Wa Kiluba

et al.

Research Directions One Health, Journal Year: 2024, Volume and Issue: 2

Published: Jan. 1, 2024

Abstract Integrated wildlife monitoring (IWM) combines infection dynamics and the ecology of populations, including aspects defining host community network. Developing implementing IWM is a worldwide priority that faces major constraints biases should be considered addressed when these systems. We identify eleven main limitations in establishment IWM, which could summarized into funding lack harmonization information exchange. The solutions proposed to overcome comprise: (i) selecting indicator species through network analysis, (ii) identifying key pathogens investigate monitor, potentially nonspecific health markers, (iii) improve standardize harmonized methodologies can applied as well communication among stakeholders across within countries, (iv) integration new noninvasive technologies (e.g., camera trapping (CT) environmental nucleic acid detection) tools are under ongoing research artificial intelligence speed-up CT analyses, microfluidic polymerase chain reaction sample volume constraints, or filter paper samples facilitate transport). Achieving optimizing must allows drivers epidemics predicting trends changes disease population before pathogen crosses interspecific barriers.

Language: Английский

Citations

16
Evaluating hunting and capture methods for urban wild boar population management DOI Creative Commons

María Escobar-González,

Josep-María López-Martín,

Gregorio Mentaberre

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 940, P. 173463 - 173463

Published: May 25, 2024

Wild ungulates are expanding in range and number worldwide leading to an urgent need manage their populations minimize conflicts promote coexistence with humans. In the metropolitan area of Barcelona (MAB), wild boar is main wildlife species causing a nuisance, from traffic accidents health risks. Selective harvesting specific sex age classes reducing anthropogenic food resources would be most efficient approach dealing overpopulation. Nonetheless, there gap knowledge regarding selectivity capture methods currently applied MAB for population control. Thus, this study aimed evaluate performance bias different hunting seasonal patterns (number captured individuals per event). From February 2014 August 2022, 1454 boars were using drop net, teleanaesthesia, cage traps, night stalks, drive hunting. We generalized linear models (GLM) compare these total boars, belonging each category (i.e., adult, yearling, juvenile), season. The studied showed age-class adults (>2 years). Drive net removed mainly adult females yearlings (1–2 years), having highest males. Instead, traps best juveniles (<1 year). Overall, global was higher summer, decreasingly followed by autumn spring, winter being worst performing Wildlife managers researchers should consider method, as well associated public cost, improve efficiency achieve results management.

Language: Английский

Citations

6
Predicting human-wildlife interaction in urban environments through agent-based models DOI Creative Commons
Carlos González‐Crespo, Beatriz Martínez‐López, Carles Conejero

et al.

Landscape and Urban Planning, Journal Year: 2023, Volume and Issue: 240, P. 104878 - 104878

Published: Sept. 8, 2023

Synurbic species adapt to global urbanization by increasingly inhabiting urban environments, where social and ecological factors, such as anthropogenic food resources habitat alterations, promote close human-wildlife interactions. Ineffective management of these interactions can result in conflicts, altered animal population dynamics, increased public private expenditures. This study presents the Barcelona wild boar (BCNWB)-prototype model, a spatially explicit, incremental agent-based simulation that captures between citizens (Sus scrofa) agents fine-scale GIS-based scenarios Barcelona. Developed using GAMA software, model's results were analyzed with QGIS R software. The model aims simulate dynamics social-ecological system underlying ecosystem use synurbic boars their humans (peri)urban area Barcelona, Spain. BCNWB-prototype demonstrated high accuracy predicting magnitude location movements (multiple-resolution-goodness-of-fit = 0.73) compared reported presences also forecasted 115 attack events 1,442 direct feeding during one-year period, actual 150 attacks 1,858 annually. strong performance highlights its potential predictive tool for identifying priority areas human-wild conflicts. Additionally, could be employed assess cost-effectiveness strategies evaluate spread, transmission risks, health implications pathogens carried boars.

Language: Английский

Citations

16
Optimizing Antibiotic Use: Addressing Resistance Through Effective Strategies and Health Policies DOI Creative Commons
Maurizio Capuozzo, Andrea Zovi,

Roberto Langella

et al.

Antibiotics, Journal Year: 2024, Volume and Issue: 13(12), P. 1112 - 1112

Published: Nov. 21, 2024

Background: Antimicrobial resistance (AMR) has emerged as a significant challenge to public health, posing considerable threat effective disease management on global scale. The increasing incidence of infections caused by resistant bacteria led heightened morbidity and mortality rates, particularly among vulnerable populations. Main text: This review analyzes current strategies health policies adopted in the European Union (EU) Italy manage AMR, presenting an in-depth examination approaches for containment mitigation. Factors such excessive prescriptions, self-medication, misuse antibiotics livestock contribute selection spread strains. Furthermore, this provides detailed overview mechanisms, including enzymatic inactivation, reduced permeability, efflux pump activity, target site protection, with specific examples provided. underscores urgent need develop new implement diagnostic testing ensure targeted prescriptions effectively combat infections. Current estimates indicate that AMR-related cause over 60,000 deaths annually Europe United States, projections suggesting potential rise 10 million per year 2050 if trends are not reversed. also examines existing Italy, focusing national regional AMR. These include promoting responsible antibiotic use, improving surveillance systems, encouraging research development therapeutic options. Conclusions: Finally, presents short- long-term perspectives from authors, actionable steps policymakers healthcare providers. Ultimately, coordinated multidisciplinary approach involving professionals, policymakers, is essential mitigate impact AMR effectiveness future generations.

Language: Английский

Citations

2
Characterization and treatment protocol of injuries inflicted to humans by synurbic European wild boars (Sus scrofa) DOI
Oriol Pujol,

M.J. Peinador Nuño,

Joan Minguell

et al.

European Journal of Trauma and Emergency Surgery, Journal Year: 2024, Volume and Issue: 50(5), P. 2595 - 2604

Published: Aug. 27, 2024

Language: Английский

Citations

0
Endemic maintenance of human-related hepatitis E virus strains in synurbic wild boars, Barcelona Metropolitan Area, Spain DOI Creative Commons

Laia Ruiz-Ponsell,

Abir Monastiri,

Marc López‐Roig

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176871 - 176871

Published: Oct. 11, 2024

Hepatitis E virus (HEV), shared by humans, domestic animals, and wildlife, is an emerging global public health threat. Because wild boars are a major reservoir of HEV, the new zoonotic interfaces resulting from boar population increase synurbization significantly contribute to increasing risk transmission HEV. This study characterizes HEV strains synurbic assesses their relationship with sympatric human swine strains. We analyzed faeces 312 collected 2016 2021 in Barcelona Metropolitan Area (BMA), where there high density boars, found 7 HEV-positive samples among those between 2019 2020. The molecular analysis these isolates, along 6 additional isolates previous study, allowed us establish close phylogenetic blood donors pigs Catalonia. belonged piglet, juvenile yearling individuals, but not adults, indicating endemic maintenance BMA naïve young individuals. All this classified within genotype 3. results show, for first time, similarity endemically maintained citizens same area period. data could also indicate that infection presents seasonal interannual variability BMA. Further investigation required unveil routes citizens. These findings can serve other wildlife-human throughout world.

Language: Английский

Citations

0
Decision: Overcoming the limitations of wildlife disease monitoring — R1/PR6 DOI Creative Commons
Jorge Ramón López‐Olvera, Patrícia Barroso, Théophile Kiluba Wa Kiluba

et al.

Published: Dec. 28, 2023

Integrated wildlife monitoring (IWM) combines infection dynamics and the ecology of populations, including aspects defining host community network. Developing implementing IWM is a worldwide priority that faces major constraints biases should be considered addressed when these systems. We identify eleven main limitations in establishment IWM, which could summarized into funding lack harmonization information exchange. The solutions proposed to overcome comprise: (i) selecting indicator species through network analysis, (ii) identifying key pathogens investigate monitor, potentially nonspecific health markers, (iii) improve standardize harmonized methodologies can applied as well communication among stakeholders across within countries, (iv) integration new noninvasive technologies (e.g., camera trapping (CT) environmental nucleic acid detection) tools are under ongoing research artificial intelligence speed-up CT analyses, microfluidic polymerase chain reaction sample volume constraints, or filter paper samples facilitate transport). Achieving optimizing must allows drivers epidemics predicting trends changes disease population before pathogen crosses interspecific barriers.

Language: Английский

Citations

0
Author comment: Overcoming the limitations of wildlife disease monitoring — R1/PR5 DOI Creative Commons
Jorge Ramón López‐Olvera

Published: Dec. 22, 2023

Integrated wildlife monitoring (IWM) combines infection dynamics and the ecology of populations, including aspects defining host community network. Developing implementing IWM is a worldwide priority that faces major constraints biases should be considered addressed when these systems. We identify eleven main limitations in establishment IWM, which could summarized into funding lack harmonization information exchange. The solutions proposed to overcome comprise: (i) selecting indicator species through network analysis, (ii) identifying key pathogens investigate monitor, potentially nonspecific health markers, (iii) improve standardize harmonized methodologies can applied as well communication among stakeholders across within countries, (iv) integration new noninvasive technologies (e.g., camera trapping (CT) environmental nucleic acid detection) tools are under ongoing research artificial intelligence speed-up CT analyses, microfluidic polymerase chain reaction sample volume constraints, or filter paper samples facilitate transport). Achieving optimizing must allows drivers epidemics predicting trends changes disease population before pathogen crosses interspecific barriers.

Language: Английский

Citations

0
Recommendation: Overcoming the limitations of wildlife disease monitoring — R0/PR4 DOI Creative Commons
Jorge Ramón López‐Olvera, Patrícia Barroso, Théophile Kiluba Wa Kiluba

et al.

Published: Dec. 11, 2023

Integrated wildlife monitoring (IWM) combines infection dynamics and the ecology of populations, including aspects defining host community network. Developing implementing IWM is a worldwide priority that faces major constraints biases should be considered addressed when these systems. We identify eleven main limitations in establishment IWM, which could summarized into funding lack harmonization information exchange. The solutions proposed to overcome comprise: (i) selecting indicator species through network analysis, (ii) identifying key pathogens investigate monitor, potentially nonspecific health markers, (iii) improve standardize harmonized methodologies can applied as well communication among stakeholders across within countries, (iv) integration new noninvasive technologies (e.g., camera trapping (CT) environmental nucleic acid detection) tools are under ongoing research artificial intelligence speed-up CT analyses, microfluidic polymerase chain reaction sample volume constraints, or filter paper samples facilitate transport). Achieving optimizing must allows drivers epidemics predicting trends changes disease population before pathogen crosses interspecific barriers.

Language: Английский

Citations

0
Review: Overcoming the limitations of wildlife disease monitoring — R0/PR3 DOI Creative Commons
Jorge Ramón López‐Olvera, Patrícia Barroso, Théophile Kiluba Wa Kiluba

et al.

Published: Nov. 23, 2023

Integrated wildlife monitoring (IWM) combines infection dynamics and the ecology of populations, including aspects defining host community network. Developing implementing IWM is a worldwide priority that faces major constraints biases should be considered addressed when these systems. We identify eleven main limitations in establishment IWM, which could summarized into funding lack harmonization information exchange. The solutions proposed to overcome comprise: (i) selecting indicator species through network analysis, (ii) identifying key pathogens investigate monitor, potentially nonspecific health markers, (iii) improve standardize harmonized methodologies can applied as well communication among stakeholders across within countries, (iv) integration new noninvasive technologies (e.g., camera trapping (CT) environmental nucleic acid detection) tools are under ongoing research artificial intelligence speed-up CT analyses, microfluidic polymerase chain reaction sample volume constraints, or filter paper samples facilitate transport). Achieving optimizing must allows drivers epidemics predicting trends changes disease population before pathogen crosses interspecific barriers.

Language: Английский

Citations

0