Evidence map›Paper›PMID 42729144›Full record

ArticleFrontiers in public health2026

Public-private partnerships for UAV-assisted emergency medical services in aging communities: an evolutionary game approach.

Jingling Zhong, Yali Gao

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Jingling ZhongResearch Center for the Smart Health and Older Adult Care Industry in the Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou Huashang College, Guangzhou, China.
Yali GaoSchool of Management, Guangzhou Huashang College, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the current "market failure" in the large-scale deployment of UAV-assisted automated external defibrillator (AED) delivery networks for aging communities, and to explore innovative "Public-Private Partnership" (PPP) business models to overcome the "cold-start" institutional deadlock. Methods: This study introduces a three-party evolutionary game model comprising community representatives, medical institutions, and UAV operators. By integrating principles of "health economics," we simulated the interactive decision-making processes under bounded rationality. Multi-scenario numerical simulations were employed to quantify the impact of government subsidies, revenue-sharing coefficients, and emergency order densities on the system's long-term evolutionary stability. Results: The simulation results reveal a significant systemic mismatch and an inherent "collective action dilemma" in the absence of policy intervention. A critical non-linear threshold was identified under our model assumptions: a minimum government subsidy ratio of 27.3% is required to effectively hedge early-stage infrastructure risks and trigger a Nash equilibrium. Furthermore, long-term stability analysis demonstrates that while initial fiscal "boosters" are essential, an endogenous emergency call density exceeding 0.12 valid calls per thousand residents monthly-a value that corresponds closely to real-world epidemiological incidences of out-of-hospital cardiac arrest (OHCA)-serves as the critical determinant for systemic sustainability within the simulated environment. Conclusion: The normalized operation of UAV-assisted EMS networks is not merely an engineering optimization problem but a "socio-technical system" challenge plagued by institutional gridlock. There is an urgent need to transition from a technology-driven to an institution-driven governance paradigm. We advocate for inclusive business models based on targeted public health service procurement and the integration of UAV-assisted EMS networks into national medical reimbursement frameworks to bridge the "last-mile" emergency gap and foster "health equity" in aging populations.

Indexed as

Emergency Medical ServicesGame TheoryPublic-Private Sector PartnershipsHumansaging societydigital health infrastructureevolutionary game theoryhealth policypublic–private partnership (PPP)UAV-assisted emergency medical services

Identifiers

PMID42729144
PMCPMC13561843

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.