Measuring added value from integrated methods: towards a game theory of one health.

‘One health’ is particularly suited to serve mobile pastoralists. Dinka pastoralists in Sudan inspired Calvin Schwabe to coin the term ‘one medicine’, indicating that there is no difference in paradigm between human and veterinary medicine. Our contemporary definition of ‘one health’ is any added value in terms of improved health of humans and animals or financial savings or environmental services resulting from a closer cooperation of human and animal health sectors. Here we present a summary of ‘one health’ studies with mobile pastoralists in Africa which were done in research partnership, demonstrating such an added value. Initial joint human and animal health studies revealed higher livestock vaccination coverage than in the pastoralist community, leading to joint animal and human vaccination intervention studies which demonstrated a better access to primary health care services for pastoralists in Chad. Further simultaneous animal and human serological studies showed that camel breeding was associated with human Q-fever seropositivity. In Borana communities in Ethiopia, human cases of Mycobacterium bovis infection could be related to strains isolated from cattle. A challenge remained with regard to how to assess vaccination coverage in mobile populations. With the advent of mobile phones, health and demographic surveillance could be established for mobile pastoralists and their animals. This presents vast possibilities for surveillance and control of human and animal diseases. Pastoralists prefer a ‘one health’ approach and therefore contribute toward the validation of this concept by showing real added value of the cooperation between human and animal health services.

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A One Health Research Framework for Animal-Assisted Interventions

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16040640 ◽

2019 ◽

Vol 16 (4) ◽

pp. 640 ◽

Cited By ~ 13

Author(s):

Karin Hediger ◽

Andrea Meisser ◽

Jakob Zinsstag

Keyword(s):

One Health ◽

Synergistic Effects ◽

Animal Health ◽

Health Assessment ◽

Integrated Approach ◽

Research Field ◽

Added Value ◽

Health Study ◽

Research Designs ◽

Animal Assisted Intervention

Background: The integration of animals into healthcare, referred to as animal-assisted intervention, is a rapidly growing research field and was previously related to One Health. However, the assessment of synergistic effects of animal-assisted interventions (AAI) has been poorly addressed to date. Method: We discuss experiences in integrated human and animal assessments in AAI and provide a methodical framework for One Health approaches in AAI research. We propose theoretical consideration of an integrated human and animal health assessment, as well as the use of such an integrated approach in research. Based on the existing research, we argue that, for a deeper understanding of AAI mechanisms, parallel research designs are needed. Results and Conclusion: Our paper shows that a One Health study design is necessary to ensure that a tradeoff in health of animals is prevented and that an added value, or synergistic benefit, can be achieved on both sides during animal-assisted interventions.

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Implementing One Health approaches to confront emerging and re-emerging zoonotic disease threats: lessons from PREDICT

One Health Outlook ◽

10.1186/s42522-019-0007-9 ◽

2020 ◽

Vol 2 (1) ◽

Cited By ~ 7

Author(s):

Terra R. Kelly ◽

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Catherine Machalaba ◽

William B. Karesh ◽

Paulina Zielinska Crook ◽

...

Keyword(s):

One Health ◽

Ebola Virus ◽

Virus Disease ◽

Nipah Virus ◽

Early Response ◽

Emerging Diseases ◽

Added Value ◽

Shared Knowledge ◽

Practical Implementation ◽

The One

AbstractRecurring outbreaks of emerging and re-emerging zoonoses, such as Ebola virus disease, avian influenza, and Nipah virus, serve as a reminder that the health of humans, animals, and the environment are interconnected and that early response to emerging zoonotic pathogens requires a coordinated, interdisciplinary, cross-sectoral approach. As our world becomes increasingly connected, emerging diseases pose a greater threat, requiring coordination at local, regional, and global levels. One Health is a multisectoral, transdisciplinary, and collaborative approach promoted to more effectively address these complex health threats. Despite strong advocacy for One Health, challenges for practical implementation remain. Here we discuss the value of the One Health approach for addressing global health challenges. We also share strategies applied to achieve successful outcomes through the USAID Emerging Pandemic Threats Program PREDICT project, which serve as useful case studies for implementing One Health approaches. Lastly, we explore methods for promoting more formal One Health implementation to capitalize on the added value of shared knowledge and leveraged resources.

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The Network for Evaluation of One Health: evidence-based added value of One Health

Infection Ecology & Epidemiology ◽

10.3402/iee.v5.28164 ◽

2015 ◽

Vol 5 (1) ◽

pp. 28164 ◽

Cited By ~ 2

Author(s):

Eva Haxton ◽

Špela Šinigoj ◽

Ana Rivière-Cinnamond

Keyword(s):

One Health ◽

Added Value ◽

Evidence Based

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Cooperating for added value: Using participatory game theory in implementing nature-based flood defences

Ecological Engineering ◽

10.1016/j.ecoleng.2021.106507 ◽

2022 ◽

Vol 176 ◽

pp. 106507

Author(s):

Heleen Vreugdenhil ◽

Stephanie Janssen ◽

Leon Hermans ◽

Jill Slinger

Keyword(s):

Game Theory ◽

Added Value

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One Health Approach in Traditional Milk Production as a Part of Steps towards SDGs

European Journal of Sustainable Development ◽

10.14207/ejsd.2020.v9n1p263 ◽

2020 ◽

Vol 9 (1) ◽

pp. 263

Author(s):

Marija Jevtic ◽

Branislava Belic ◽

Danica Glavas–Trbic

Keyword(s):

Public Health ◽

Milk Production ◽

Agricultural Production ◽

One Health ◽

Added Value ◽

Family Farms ◽

Sources Of Pollution ◽

Systems Research ◽

Health Concept ◽

Hard Cheese

The production of milk and cheese assumes activities in the field of agricultural production, veterinary health, and the use of milk and dairy products has public health significance, and can be viewed through the "one health" concept. The aim of the paper is to underline public health and sustainability significance of interconnection among agriculture, veterinary and technology. Production of hard cheese with added value from milk produced in organic and self-sustaining systems research the risks, advantages and possibilities of traditional cheese production and focused on creating conditions for organic milk and hard cheese with added value production, with precisely defined conditions: isolating land plots, livestock farms and processing facilities from possible sources of pollution, water quality, harmonized development of plant and animal production and the capability of producers for organic agriculture with the obligation to constantly innovate knowledge. The new products ensure the employment and livelihood of people in the countryside, the economic prosperity of small family farms, link the activities in the field of veterinary health and agricultural production, contribute to the development of risk-management technology, healthy chooses and compatible with SDGs. Keywords: One Health approach, Traditional Milk Production, sustainability, Healthy Choices, SDGs

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Human-Machine Cooperative Decision Making Outperforms Individualism and Autonomy

10.36227/techrxiv.16780273 ◽

2021 ◽

Author(s):

Simon Rothfuß ◽

Maximilian Wörner ◽

Jairo Inga ◽

Andrea Kiesel ◽

Sören Hohmann

Keyword(s):

Game Theory ◽

Decision Making ◽

Experimental Design ◽

Experimental Evaluation ◽

Added Value ◽

Negotiation Theory ◽

Decision Level ◽

Decision Making Models ◽

Cooperation Partners ◽

Cooperative Decision Making

<div>The experiment reported in this paper provides a first experimental evaluation of human-machine cooperation on decision level: It explicitly focuses on the interaction of human and machine in cooperative decision making situations for which a suitable experimental design is introduced. Furthermore, it challenges conventional leader-follower approaches by comparing them to newly proposed automation designs based on cooperative decision making models. These models originate from negotiation theory and game theory and allow for an investigation of cooperative decision making between equal partners. This equality is motivated by similar approaches on the action level of human-machine cooperation. <br></div><div>The experiment’s results indicate an added value of the proposed automation designs in terms of objective cooperative performance as well as human trust in and satisfaction with the cooperation. Hence, the experiment yields the same insight on decision level as already observed on action level: it may be beneficial to design machines as equal cooperation partners and in accordance to models of emancipated human-machine cooperation.</div>

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Pricing in Information Orchestrators and Maximizing Stable Networks

International Game Theory Review ◽

10.1142/s0219198918500135 ◽

2019 ◽

Vol 21 (03) ◽

pp. 1850013

Author(s):

Bernardo C. Lustosa ◽

Alberto L. Albertin ◽

Fernando Moreira

Keyword(s):

Game Theory ◽

Nash Equilibrium ◽

Information Exchange ◽

Added Value ◽

Innovation Networks ◽

Network Stability ◽

Financial Benefit ◽

Equilibrium Conditions ◽

Rational Agents ◽

Pricing Options

In innovation networks based on information exchange, an orchestrating actor, or hub, captures information from peripheral actors, promotes innovation and then distributes it to the network in the form of added value. This paper identifies the pricing options proposed by the orchestrating hub that would result in the network’s stability and efficiency. Since all the companies in this ecosystem can be seen as rational agents, game theory is an appropriate framework for studying pricing as a mechanism to promote network stability. We analyze the equilibrium conditions in this context and conclude that the Nash equilibrium entails the network’s stability. Our findings indicate that, in order to maximize the innovation power of the network, the agents should be charged a price proportional to the financial benefit obtained by the net innovation. This study fills relevant gaps in the literature on monopolistic orchestrated innovation and the pricing structures of network connections.

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Economic analysis of implementing VMI model using game theory

Oeconomia Copernicana ◽

10.24136/oc.2019.013 ◽

2019 ◽

Vol 10 (2) ◽

pp. 253-272 ◽

Cited By ~ 5

Author(s):

Vojtěch Stehel ◽

Marek Vochozka ◽

Tomas Kliestik ◽

Vladimir Bakes

Keyword(s):

Game Theory ◽

Evolutionary Game Theory ◽

Evolutionary Game ◽

Value Added ◽

Point Of View ◽

Added Value ◽

Theory Approach ◽

The Matrix ◽

Comprehensive Picture ◽

The Individual

Research background: The article deals with implementing VMI between the supplier and customer. To assess whether the system will be implemented, the evolution game theory is used. The contribution is based on the limitations of the study of the evolutionary game theory approach to modelling VMI policies (Torres et al., 2014) and its later extension, The evolutionary game theory approach to modelling VMI policies (Torres & García-Díaz, 2018). It aims is to complement the studies and provide a comprehensive picture of the issue. Purpose of the article: The main objective of the contribution is to respond to the question whether the VMI system will be introduced between the supplier and customer. Methods: In the first phase, the matrix is analysed from the point of view of the game meaning and its limit parameters. The limit parameters are set taking into account the economic reality. The only examined states of the matrix are those where the result is not obvious. For the purposes of the contribution, we work with a 5-year period. A new software capable of calculating evolutionary focus and their stability is created. Sensitivity analysis is carried out for the individual parameters that affect the system behaviour. Findings & Value added: Value added is a complex description of the system and complementation of previous studies in this field. VMI is confirmed. The results obtained can be used for practical management, so that the managers are able to identify what the actual costs are and what the probability of introducing the sys-tem is. At the same time, they can identify the parameters that can be influenced by them and observe their impact on the shift of the system introduction probability.

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