Introduction: <scp>COVID</scp>‐19 Viewpoint Symposium, Part <scp>II</scp>

Zavattaro, Staci M.; Hall, Jeremy L.; Battaglio, R. Paul; Hail, Michael W.

doi:10.1111/puar.13290

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…Response actions and policies adopted by global governments to address the pandemic have ranged from soft to draconian [1][2][3], and they have included a range of "technodriven" and "human-driven" approaches [4]; however, the presence of different levels of governance and multiple perspectives drive the need to define multi-dimensional criteria to assess the status of the emergency, and such criteria should be used to support decision making at the local and regional levels, which includes the potential use of adaptive governance strategies and decentralized decision-making (e.g., [28]).…”

Section: Theory Contributionsmentioning

confidence: 99%

“…In fact, the pandemic required countries from around the world to take effective actions that were aimed at contact tracking, social distancing, and interrupting non-essential activities ("lockdown") to contain the infection while properly accounting for the epidemiological, health-based, economic, and social aspects of the emergency. Such actions were implemented to varying degrees, depending on the government; they either adopted softer or more draconian measures [1][2][3], and they adopted different approaches that were either "techno-driven" or "human-driven". These measures and approaches were implemented to control the transmission of the infection [4].…”

Section: Introduction and Problem Statementmentioning

confidence: 99%

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Multi-Level Governance and Emergency Management: Building a Priority Assessment Matrix in the Pandemic Outbreak

2023

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The execution of effective responses during a large-scale emergency requires gathering appropriate information and implementing priority assessment processes. In particular, the design of comprehensive and multi-dimensional evaluation methods is crucial, especially in countries characterized by the presence of multiple levels of authority and regional governance. In this article, we illustrate the development of a structured method that was used to support emergency decisions during the COVID-19 emergency in Brazil. We applied a design science roadmap in order to produce an artifact development process, based on extensive expert involvement and multiple sources, to identify the core requirements and information needs at healthcare management and governance levels. This study provides an assessment matrix and measurement scale based on twenty indicators and five key criteria (i.e., gravity, urgency, trend, amplitude, and impact). The study provides an evidence-based method for assessing the emergency status of, and defining recommendations for, operators and policymakers. This method can be adopted for other emergency management scenarios and contexts in order to support the analysis and implementation of responses; this has a specific relevance for multi-level governance contexts.

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Section: Theory Contributionsmentioning

confidence: 99%

Section: Introduction and Problem Statementmentioning

confidence: 99%

Multi-Level Governance and Emergency Management: Building a Priority Assessment Matrix in the Pandemic Outbreak

2023

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Shelter from the storm: How perceived extreme event experience and government trust shape public support for climate change mitigation policy in the United States

Giordono

Zanocco

Peterson

et al. 2022

Risk Hazard & Crisis Pub Pol

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As emergency managers and other government and nongovernmental organizations in the United States cope with a variety of catastrophic events, including unprecedented natural disasters and a global pandemic, the role of government trust in responding to and addressing the threat from such events has gained attention among policy and public administration scholars. How changes in government trust following extreme events may influence public support for government‐led climate policy is an unknown, yet potentially important, dimension of climate mitigation policy preference formation. To address this gap, we analyze cross‐sectional survey responses (n = 1756) collected from 10 communities that experienced extreme weather events. We find that perceptions of event‐related harm are positively associated with an increase in self‐reported local government trust following an extreme weather event, and that increases in local and federal government trust are associated with higher levels of support for climate change mitigation policy. Our findings have implications for emergency managers, policymakers, and policy scholars as they consider how interactions with various levels of government during and after extreme events shapes public support for climate policy.

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