An evaluation of community satisfaction with the government's COVID-19 pandemic response in Aceh, Indonesia

Evidence-Based Policy Recommendations for Public Health Emergency Operation Centers in Regional Settings: A Case Study in Indonesia

Background: Public health emergencies require integration between multiple stakeholders in different sectors to monitor the situation and carry out an appropriate response. As a country with a large land area consisting of thousands of islands, Indonesia's centralized Public Health Emergency Operation Center (PHEOC) system is currently unable to effectively contain diseases. A PHEOC system reform is required to accommodate Indonesia's circumstances, particularly at the regional level. We have outlined potential models at the sub-national level for PHEOC based on existing evidence. Policy Options and Recommendations: Based on existing evidence of PHEOC models internationally, we have formulated three policy models for regional-level PHEOC. These models (the ad hoc agency model, the independent agency model, and the Province Health Office (PHO)-based model) entail different chains of command, and each has its own benefits. Conclusion: We recommend that the Ministry of Health in Indonesia adopt the third PHEOC policy model, in which the chain of command lies under the PHO. This is the most practical approach, as the PHO has the authority to mobilize units and access resources in response to imminent public health emergencies. Further training and capacity-building are required to support the PHO as the commander of the regional PHEOC.

Neighborhood Governance and Happiness during the COVID-19 Pandemic: An Empirical Analysis of Wuhan's Lockdown

The outbreak of COVID-19 posed a challenge to global governance, residents' happiness, and economic systems around the world. Since the crux of previous research centers on the reactions of both local and national governments, studies on how governance arrangement at the neighborhood level influences people's happiness during the crisis response remain insufficient. This paper aims to explore the relationship between neighborhood governance and residents' happiness based on first-hand data collected during Wuhan's first lockdown. This study highlights the significance of neighborhood governance in crisis response, which includes providing diverse public services, ensuring access to life's necessities, and offering prompt medical treatment. All of these factors are essential for maintaining overall satisfaction with governance and contributing to the happiness of individuals within the community. However, active governance actions do not always lead to favorable results. For example, increased group participation may lead to social conflicts among those involved, ultimately diminishing one's happiness. Furthermore, the COVID-19 pandemic has acted as a risk 'amplifier', exposing and exacerbating pre-existing hukou-based social inequalities in the governance process. The impact of the pandemic on citizen happiness is the cumulative effect of both the immediate social crisis brought on by the pandemic and long-standing structural inequalities. To improve people's happiness and establish inclusive policies, this paper advocates for a 'people-centered' urban governance that enhances public satisfaction and addresses the needs and priorities of migrant populations.

Fear of COVID-19 and Anxiety: Serial Mediation by Trust in the Government and Hope

Purpose

How to reduce the damage of COVID-19 pandemic to people's mental health is a current research hotspot. The present study examined the mediating role of trust in the government and hope in the relationship between fear of COVID-19 and anxiety.

Participants and Methods

In this cross-sectional study, a total of 1053 Chinese subjects (20.24±3.97 years old, 85.3% female) were investigated by using the Fear of COVID-19 Scale, Anxiety Scale, Trust in the Government Measure Scale and Herth Hope Scale, which was conducted by an online survey using snowball sampling technique. Hayes PROCESS macro for SPSS was used to test the hypothesized mediating effects of trust in the government and hope in the relationship between fear of COVID-19 and anxiety.

Results

The fear of COVID-19 could positively predict anxiety level (β=0.36, p<0.001). Results of the mediation analyses demonstrated that trust in the government (β=-0.16, p<0.001) and hope (β=-0.28, p<0.001) mediated the relationship between fear of COVID-19 and anxiety level respectively. Moreover, fear of COVID-19 could also indirectly predict anxiety level through the chain-mediated role of the trust in the government and the hope (β=0.28, p<0.001).

Conclusion

Our findings shed light on a correlation between fear of COVID-19 and anxiety. This study emphasizes the value of trust in the government and hope in maintaining mental health when individuals face public stress events from both external and internal perspectives.

Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China's Urban Communities

In the post-epidemic era, China's urban communities are at the forefront of implementing the whole chain of accurate epidemic prevention and control. However, the uncertainty of COVID-19, the loopholes in community management and people's overly optimistic judgment of the epidemic have led to the frequent rebound of the epidemic and serious consequences. Existing studies have not yet formed a panoramic framework of community anti-epidemic work under the concept of resilience. Therefore, this article first summarizes the current research progress of resilient communities from three perspectives, including ideas and perspectives, theories and frameworks and methods and means, and summarizes the gap of the current research. Then, an innovative idea on the epidemic resilience of urban communities in China is put forward: (1) the evolution mechanism of community anti-epidemic resilience is described through the change law of dynamic networks; (2) the anti-epidemic resilience of urban communities is evaluated or predicted through the measurement criteria; (3) a simulation platform based on Multi-Agent and dynamic Bayesian networks simulates the interactive relationship between "epidemic disturbance-cost constraint--epidemic resilience"; (4) the anti-epidemic strategies are output intelligently to provide community managers with decision-making opinions on community epidemic prevention and control.

The impact of major public health emergencies on Trust in Government: From SARS to COVID-19

Major public health emergencies always test the credibility of the government. The success of governments’ strategies relies on trust in government and broad acceptance of response measures. The profound experience of the epidemic often has a long-term impact on people’s cognition. We construct a difference-in-difference estimator by combining the variations of epidemic effects across cohorts and regions, and intend to evaluate the long-term effect of individuals’ early SARS experience on trust in government during the COVID-19 pandemic. We also use the instrumental variable method to overcome the endogenous problem caused by two-way causality. The results show that the impact of COVID-19 has significantly reduced trust in government of the groups who had not been exposed to the SARS epidemic (including groups who were in early childhood and the unborn during the SARS outbreak). While it has a positive impact on trust in government of people experienced SARS in adolescence, and only a little negative impact on trust in government of people experienced SARS in adulthood. We also find that the impact of COVID-19 mainly reduced the trust in government among groups socially vulnerable or without SARS experience (e.g., low income, low social status etc.). The results suggest that: (a) the trust created by governments’ successful anti-epidemic measures is long-lasting; (b) governments should pay more attention to their trust among socially vulnerable groups.

An analysis of COVID-19 information sources

Background

The COVID-19 pandemic has brought new situations that require the effective delivery of health information across the world and it’s important to offer clear, consistent, and credible information on the pandemic to mitigate and control the outbreak.

Aim

To assess COVID-19 information source, need and trust among the rural community of southwest Ethiopia.

Methods

A community-based cross-sectional study design was conducted among 634 rural communities of southwest Ethiopia. The data were collected by interviewing individuals from selected households and analyzed by SPSS version 26. A multivariable logistic regression model was used to assess factors affecting information needs.

Results

Radio 484 (76.3%) was mostly used as a source of information for COVID-19, and government 404 (63.7%) and health professionals 345 (57.7%) were trusted. However, only 10 (1.6%) of the participants acquired information from health professionals. Around 395 (62.3%) of the participants needed additional information on COVID-19. Around 230 (58.2%) and 186 (47.1%) of the participants required additional information on cause and sign and symptoms, respectively. Age of < 45 years old (AOR: 2.11, 95% CI: 1.43, 3.12, P < 0.001), and absence of formal education (AOR: 2.00, 95% CI: 1.35, 2.95, P: 0.001) were factors positively affecting the information needs of the participants on COVID-19. Church goers (AOR: 3.24; 95% CI: 2.03, 5.19; P < 0.001), television (AOR: 2.39; 95% CI: 1.63, 3.49; P < 0.001) and social media users (AOR: 4.52; 95% CI: 2.26, 9.04; P < 0.001) as source of information required additional information on COVID-19, and the participants that trusted social media (AOR: 2.52; 95% CI: 1.64, 3.87; P < 0.001) and friends/relatives (AOR: 2.95: 95% CI: 1.51, 5.76; P < 0.001) were also required additional information on COVID-19.

Conclusions

The popular sources of COVID-19-related information were radio and television. The participants trusted the government and health professionals on COVID-19. However, less than 2% of the participants had information from health professionals. The majority of the participants wanted to learn more about COVID-19. The areas the participants required additional information include cause and signs and symptoms. Age, educational status, trust in social media, trust in friends, using the church, television and social media as a source were factors associated with information needs.

Understanding citizens’ satisfaction with the government response during the COVID-19 pandemic in China: comprehensive analysis of the government hotline

Purpose

The objective of this study was to analyse the influencing factors of citizens' dissatisfaction with government services during the COVID-19 pandemic to help government departments identify problems in the service process and possible countermeasures.

Design/methodology/approach

The authors first used cosine interesting pattern mining (CIPM) to analyse citizens' complaints in different periods of the pandemic. Second, the potential evaluation indices of customer satisfaction were extracted from the hotline business system through a hypothesis analysis and modelled using multiple regression analysis. During the index transformation and standardization process, a machine-learning algorithm of clustering and emotion analysis was adopted. Finally, the authors used the random forest algorithm to evaluate the importance of the indicators and obtain the indicators more important to citizen satisfaction.

Findings

The authors found that the complaint topic, appeal time, urgency of citizens' complaints, citizens' emotions, level of detail in the case record, and processing timeliness and efficiency significantly influenced citizens' satisfaction. When the government addresses complaints in a more standardized and efficient manner, citizens are more satisfied.

Originality/value

During the pandemic, government departments should be more patient with citizens, increase the speed of the case circulation and shorten the processing period of appeals. Staff should record appeals in a more standardized manner, highlighting themes and prioritizing urgent cases to appease citizens and relieve their anxiety.

Impact of COVID-19 on Construction Projects: The Case of India

The COVID-19 pandemic has affected the whole world, including India, especially in the construction sector. The study aims to identify, compare, and analyze the critical pandemic impacts (CPI) on construction projects in India. To achieve this, 40 interviews with industry professionals, are followed by a systematic review to identify the CPI. The data collected was used to develop a survey, sent to industry professionals all over India, with a return of 92 valid responses. The data were analyzed using reliability analysis, mean score ranking, overlap analysis, agreement analysis, and correlation analysis. The overall critical pandemic impact includes ‘labor scarcity,’ ‘supply chain disruption,’ ‘decreased construction productivity,’ ‘increased project financing rejection rate,’ and ‘reduced foreign investment in the construction industry.’ The findings could aid authorities and policymakers in taking suitable actions toward solving the current CPI in India. Project managers and owners could consider the current CPI in order to formulate better plans. Overcoming CPI could lead to an economic leap in India.

Consumers’ Perspectives and Behaviors towards Corporate Social Responsibility—A Cross-Cultural Study

This study measured consumers’ perspectives and behaviors with respect to corporate social responsibility (CSR). Specifically, we explored the components of CSR, including CSR aimed towards the environment, society, customers, employees, suppliers, and shareholders. We also examined the impact of CSR practices on brand attitude and purchase intention. The study surveyed 616 consumers across three locations, with detailed questionnaires in four languages. A total of 564 samples (186 from Vietnam, 189 from Indonesia, and 189 from Taiwan) qualified for data analysis. Additionally, statistics software including LISREL 8.8, STATISTICA 10, and MINITAB 19 were utilized to evaluate our hypotheses and construct a structural model. The results indicated that the consumers across the three areas were not concerned about CSR aimed towards shareholders, while all consumers considered CSR aimed towards themselves. Vietnamese customers prioritized a company’s care for its employees, while both Indonesian and Taiwanese consumers concentrated on the environment and society. In addition, suppliers’ benefits and rights attracted Indonesians’ attention. Furthermore, CSR had a positive significant impact on brand reputation in all three cultures. However, while CSR had a positive influence on customer purchase intention in Indonesia and Taiwan, it did not in Vietnam.