skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: A systematic review of public policy implementation during the Covid‐19 pandemic: Current topics and future directions
Abstract The Covid‐19 pandemic greatly impacted global public policy implementation. There is a lack of research synthesizing the lessons learned during Covid‐19 from a policy perspective. A systematic review was conducted following PRISMA guidelines to examine the literature on public policy implementation during the Covid‐19 pandemic in order to gain comprehensive insights into current topics and future directions. Five clusters of topics were identified: lessons from science, crisis governance, behavior and mental health, beyond the crisis, and frontlines and trust. Extensive collaboration among public health departments emerged as a significant research theme. Thirty recommendations for future research were identified, including the examination of frontline worker behavior, the use of just tech in policy implementation, and the investigation of policies driving improvements in global public health. The findings indicate that current research on public policy implementation during the Covid‐19 pandemic extends beyond health and economic crisis‐related policies. However, further studies in a post‐pandemic context are needed to validate the identified topics and future directions.  more » « less
Award ID(s):
2125530
PAR ID:
10545721
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
Wiley
Date Published:
Journal Name:
Review of Policy Research
ISSN:
1541-132X
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Ahuja, Gautam (Ed.)
    This virtual special issue (VSI) collects together 19 papers published in Organization Science that explore how organizations learn from crises. The objective is to discuss insights that can help us understand the COVID-19 pandemic crisis, implications that existing research carries for organizations’ abilities to keep hard-earned lessons after the storm passes, and opportunities that the current phenomenon offers for future inquiry in this domain. Organizations, large and small, in scores of countries, have suspended normal operations. To survive, many organizations have adapted by shifting almost all human-to-human interactions online while facing an ethical dilemma and a tense tradeoff between public health and economic well-being. We take stock of the research on organizational learning from crises, summarize useful knowledge for managing the current crisis, and provide directions for future research. 
    more » « less
  2. Yang, Yuzhe (Ed.)
    In the face of the unprecedented COVID-19 pandemic, various government-led initiatives and individual actions (e.g., lockdowns, social distancing, and masking) have resulted in diverse pandemic experiences. This study aims to explore these varied experiences to inform more proactive responses for future public health crises. Employing a novel “big-thick” data approach, we analyze and compare key pandemic-related topics that have been disseminatedtothe public through newspapers with those collectedfromthe public via interviews. Specifically, we utilized 82,533 U.S. newspaper articles from January 2020 to December 2021 and supplemented this “big” dataset with “thick” data from interviews and focus groups for topic modeling. Identified key topics were contextualized, compared and visualized at different scales to reveal areas of convergence and divergence. We found seven key topics from the “big” newspaper dataset, providing a macro-level view that covers public health, policies and economics. Conversely, three divergent topics were derived from the “thick” interview data, offering a micro-level view that focuses more on individuals’ experiences, emotions and concerns. A notable finding is the public’s concern about the reliability of news information, suggesting the need for further investigation on the impacts of mass media in shaping the public’s perception and behavior. Overall, by exploring the convergence and divergence in identified topics, our study offers new insights into the complex impacts of the pandemic and enhances our understanding of key issues both disseminated to and resonating with the public, paving the way for further health communication and policy-making. 
    more » « less
  3. null (Ed.)
    During COVID-19, social media has played an important role for public health agencies and government stakeholders (i.e. actors) to disseminate information regarding situations, risks, and personal protective action inhibiting disease spread. However, there have been notable insufficient, incongruent, and inconsistent communications regarding the pandemic and its risks, which was especially salient at the early stages of the outbreak. Sufficiency, congruence and consistency in health risk communication have important implications for effective health safety instruction as well as critical content interpretability and recall. It also impacts individual- and community-level responses to information. This research employs text mining techniques and dynamic network analysis to investigate the actors’ risk and crisis communication on Twitter regarding message types, communication sufficiency, timeliness, congruence, consistency and coordination. We studied 13,598 pandemic-relevant tweets posted over January to April from 67 federal and state-level agencies and stakeholders in the U.S. The study annotates 16 categories of message types, analyzes their appearances and evolutions. The research then identifies inconsistencies and incongruencies on four critical topics and examines spatial disparities, timeliness, and sufficiency across actors and message types in communicating COVID-19. The network analysis also reveals increased communication coordination over time. The findings provide unprecedented insight of Twitter COVID-19 information dissemination which may help to inform public health agencies and governmental stakeholders future risk and crisis communication strategies related to global hazards in digital environments. 
    more » « less
  4. null (Ed.)
    In response to COVID-19, a vast number of visualizations have been created to communicate information to the public. Information exposure in a public health crisis can impact people’s attitudes towards and responses to the crisis and risks, and ultimately the trajectory of a pandemic. As such, there is a need for work that documents, organizes, and investigates what COVID-19 visualizations have been presented to the public. We address this gap through an analysis of 668 COVID-19 visualizations. We present our findings through a conceptual framework derived from our analysis, that examines who, (uses) what data, (to communicate) what messages, in what form, under what circumstances in the context of COVID-19 crisis visualizations. We provide a set of factors to be considered within each component of the framework. We conclude with directions for future crisis visualization research. 
    more » « less
  5. We investigated how tightness-looseness, reflecting strictness of social norms, of state of residence in the USA predicts behaviors and attitudes related to COVID-19. Because individual-level tightness may better capture current attitudes during the pandemic, whereas state-level archival measures reflect historical factors, we assessed the extent to which tightness-looseness at both levels predicted adherence to public health guidelines and biases toward outgroups related to COVID-19. In Spring 2020, 544 mTurk participants, primarily from the 13 tightest and 13 loosest states, completed survey questions about health behaviors in response to COVID-19, endorsement of future policy changes, feeling of responsibility for lives, and attitudes toward groups marginalized during the pandemic (i.e., Asians, older adults). State-level results indicated some associations with attitudes toward Asians and older adults, but effects were not robust. Results based on individuals’ ratings of the tightness of their state indicated that higher levels of perceived tightness were associated with higher levels of protective self-reported public health behaviors (e.g., mask wearing, handwashing) during COVID-19, more endorsement of future policy changes to contain the pandemic, higher reported feelings of responsibility for one’s life, and stronger negative attitudes toward Asians. The relations between tightness and health outcomes persisted after controlling for political attitudes and demographics. Thus, individual, more than state, tightness-looseness accounted for some degree of public health behaviors (unique contribution of individual tightness: R 2  = .034) and attitudes toward marginalized groups ( R 2  = .020) early during the COVID-19 pandemic. The implications of these findings for interventions to support behavior change or combat anti-Asian bias are discussed. 
    more » « less