scholarly journals The Risk Perception, Behavior of the Public and Public Emotional Guidance Under Emergency of Public Health Research

Author(s):  
Hui-Min Zong ◽  
Yu-Jia Wang ◽  
Lin-Ling Shi ◽  
Yi-Bo Wu

The psychological changes and behavior of the public in the face of public health emergencies are the important reference for emergency decision-making. This paper systematically reviews the risk perception, behavior and emotion under public health emergencies, and attempts to provide a theoretical framework for the in-depth study of the relationship and influencing factors among the three, so as to further explore the impact of emergency communication resource allocation on public risk perception, behavior and emotion. To provide a theoretical basis for the establishment of a multi-level and comprehensive emotional guidance mechanism.

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yi-Cheng Zhang ◽  
Zhi Li ◽  
Guo-Bing Zhou ◽  
Nai-Ru Xu ◽  
Jia-Bao Liu

After the occurrence of public health emergencies, due to the uncertainty of the evolution of events and the asymmetry of pandemic information, the public’s risk perception will fluctuate dramatically. Excessive risk perception often causes the public to overreact to emergencies, resulting in irrational behaviors, which have a negative impact on economic development and social order. However, low-risk perception will reduce individual awareness of prevention and control, which is not conducive to the implementation of government pandemic prevention and control measures. Therefore, it is of great significance to accurately evaluate public risk perception for improving government risk management. This paper took the evolution of public risk perception based on the COVID-19 region as the research object. First, we analyze the characteristics of infectious diseases in the evolution of public risk perception of public health emergencies. Second, we analyze the characteristics of risk perception transmission in social networks. Third, we establish the dynamic model of public risk perception evolution based on SEIR, and the evolution mechanism of the public risk perception network is revealed through simulation experiments. Finally, we provide policy suggestions for government departments to deal with public health emergencies based on the conclusions of this study.


Author(s):  
Shama E. Haque ◽  
Nazmun Nahar ◽  
Sadia Chowdhury ◽  
Ali S. Sakib ◽  
Ahsan Saif ◽  
...  

Purpose of the study: The purpose of the study is to determine whether the partial relocation of Hazaribagh tanneries has any effect on the area’s soil quality with respect to chromium and to determine a possible link between human exposure/diseases to chromium, with the focus being placed on children and vulnerable population. Methodology: Geochemical sampling and public health research related to fieldwork (Focus Group Discussions, two In-Depth Interview, and Key Informant Interview). Main Findings: The study indicates that there is a significant presence of chromium in the area’s soil two years following the partial relocation of Hazaribagh tanneries. Flu-like symptoms, generalized skin rash, and fertility issues are common in the vulnerable population. The residents are ignorant, belong to the marginalized section of the society, and do not fully comprehend of the impact of environmental exposure to chromium. Applications of this study: The geochemical data may be used to identify in situ treatment technologies for remediation of the area’s soil. The public health data will allow health policymakers to generate ideas and implement solutions to one of the greatest health challenges faced by the impacted population. Novelty/Originality of this study: The study is multidisciplinary by nature and employs science and technology to systematically develop an insight into the environmental contamination resulting from the release of untreated effluent and solid waste containing chromium.


2021 ◽  
Vol 37 (03) ◽  
pp. 278-286
Author(s):  
Zahid Sarwar ◽  
Muhammad Asif Khan ◽  
Aaqib Sarwar

This article narrates that strategic leadership thinking and quick decision- making ability are vital to minimize the negative impact of COVID 19 on the public health and safety. Current outbreak poses serious need to develop a model for tackling the outbreak. The study also argues that the strategic management process and emergency decision-making provide direction to the leadership efforts in ensuring public health and enable scientific allocation of resources during the COVID 19 pandemic. The study presents the strategic management model of COVID 19 by integrating the strategic management process with emergency decision-making model. The study applies the model on People's Republic of China experience with COVID 19 and finds high applicability of proposed model. Moreover, the study argues that other countries can use proposed model to guard the public health and safety by defeating COVID 19. Deloped strategic management model posses a significant practical implications in the current scenarios, as COVID 19 is posing a threat to human race.


Author(s):  
Adriana Viola Miranda ◽  
Lowilius Wiyono ◽  
Ian Christopher N. Rocha ◽  
Trisha Denise D. Cedeño ◽  
Don Eliseo III Lucero-Prisno

The Association of Southeast Asian Nations (ASEAN) region is known to be a global hotspot to viral outbreaks because of many factors. To limit the impact of future outbreaks, it is crucial for the ASEAN governments to strengthen regional virology research capacity. The ASEAN governments have collaborated in several virology initiatives, with the most recent being the establishment of the ASEAN Regional Center for Public Health Emergencies and Emerging Diseases. However, several challenges, including technology disparities, nationalistic tendencies, and the lack of public acceptance toward virus sharing, need to be addressed to maximize the region’s collaboration potential in virology research. We recommend the governments to 1) prioritize the strengthening of research capacities; 2) develop stronger cooperation and possible centralization of efforts on top of national capacities; 3) develop an equitable and secure research framework; and 4) improve the public awareness regarding the importance of regional public health responses.


2021 ◽  
Author(s):  
Feng Han ◽  
ZiHeng Zhang ◽  
HongJian Zhang ◽  
Tomohiko Aoki ◽  
Katsuhiko Ogasawara

Abstract BackgroundSocial media analysis tools have been used to monitor public sentiment and communication methods during public health emergencies.Public health emergencies are required to better understand the impact of the crisis on the public and to provide reference material for the prevention of future public health emergencies. We are concentrating on the sentiments around the public health emergency created by COVID-19.ObjectiveThis study aims to better understand the impact of public health emergencies on citizens and provide reference material for future public health emergency prevention.MethodsThe Fuzzy-c-means method was used to divide the 850,083 content of Weibo from January 24, 2020, to March 31, 2020, into seven categories of emotions: fear, happiness, disgust, surprise, sadness, anger, and good. The changes in emotion were tracked over time.ResultsThe results indicated that people showed "surprise" overall (55.89%); however with time, the "surprise" decreased. As the knowledge regarding the coronavirus disease 2019 (COVID-19) increased (contents about COVID-19 knowledge: from 21.16% to 4.19%), the "surprise" of the citizens decreased (from 59.95% to 46.58%). Citizens' feelings of "fear" and "good" increased as the number of deaths associated with COVID-19 increased ("fear”: from 15.42% to 20.95% "good”: 10.31% to 18.89%). As the infection was suppressed, the feelings of "fear" and "good" diminished ("fear”: from 20.95% to 15.79% "good”: from 18.89% to 8.46%).ConclusionsIn this study, the emotions and changes in emotions of Weibo users were analyzed in chronological order. The results of this study can prepare for future public health emergencies.


1985 ◽  
Vol 17 (10) ◽  
pp. 127-138
Author(s):  
Hisashi Sumitomo

Chlorination has been believed to be the best sterilization method in water supply engineering for many years. However, the recent carcinogenic problem of trihalomethanes (THM) formed from organic compounds by chlorination requires us to assess the public health risk of THM. The author tried an assessment of a suitable chlorination technique considering both the effects of THM and viruses on human health, using Lake Biwa as a representative example of a water resource in Japan. Statistical handling of data was revealed to be important because of the statistical nature of the data. In other words, since both concentrations are very low in tap water, we need to quantify both the effects and concentrations with probabilities. In the first part of this paper, a statistical procedure and numerical results of the assessment of virus and THM risks are shown. In the second part some results of accuracies in virus experiments are briefly shown. These experiments concerning statistical problems are particularly important for more precise assessment of the public risk of viruses in tap water.


Author(s):  
Effy Vayena ◽  
Lawrence Madoff

“Big data,” which encompasses massive amounts of information from both within the health sector (such as electronic health records) and outside the health sector (social media, search queries, cell phone metadata, credit card expenditures), is increasingly envisioned as a rich source to inform public health research and practice. This chapter examines the enormous range of sources, the highly varied nature of these data, and the differing motivations for their collection, which together challenge the public health community in ethically mining and exploiting big data. Ethical challenges revolve around the blurring of three previously clearer boundaries: between personal health data and nonhealth data; between the private and the public sphere in the online world; and, finally, between the powers and responsibilities of state and nonstate actors in relation to big data. Considerations include the implications for privacy, control and sharing of data, fair distribution of benefits and burdens, civic empowerment, accountability, and digital disease detection.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Jevtic ◽  
C Bouland

Abstract Public health professionals (PHP) have a dual task in climate change. They should persuade their colleagues in clinical medicine of the importance of all the issues covered by the GD. The fact that the health sector contributes to the overall emissions of 4.4% speaks to the lack of awareness within the health sector itself. The issue of providing adequate infrastructure for the health sector is essential. Strengthening the opportunities and development of the circular economy within healthcare is more than just a current issue. The second task of PHP is targeting the broader population. The public health mission is being implemented, inter alia, through numerous activities related to environmental monitoring and assessment of the impact on health. GD should be a roadmap for priorities and actions in public health, bearing in mind: an ambitious goal of climate neutrality, an insistence on clean, affordable and safe energy, a strategy for a clean and circular economy. GD provides a framework for the development of sustainable and smart transport, the development of green agriculture and policies from field to table. It also insists on biodiversity conservation and protection actions. The pursuit of zero pollution and an environment free of toxic chemicals, as well as incorporating sustainability into all policies, is also an indispensable part of GD. GD represents a leadership step in the global framework towards a healthier future and comprises all the non-EU members as well. The public health sector should consider the GD as an argument for achieving goals at national levels, and align national public health policies with the goals of this document. There is a need for stronger advocacy of health and public-health interests along with incorporating sustainability into all policies. Achieving goals requires the education process for healthcare professionals covering all of topics of climate change, energy and air pollution to a much greater extent than before.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Frank de Vocht ◽  
Srinivasa Vittal Katikireddi ◽  
Cheryl McQuire ◽  
Kate Tilling ◽  
Matthew Hickman ◽  
...  

Abstract Background Natural or quasi experiments are appealing for public health research because they enable the evaluation of events or interventions that are difficult or impossible to manipulate experimentally, such as many policy and health system reforms. However, there remains ambiguity in the literature about their definition and how they differ from randomized controlled experiments and from other observational designs. We conceptualise natural experiments in the context of public health evaluations and align the study design to the Target Trial Framework. Methods A literature search was conducted, and key methodological papers were used to develop this work. Peer-reviewed papers were supplemented by grey literature. Results Natural experiment studies (NES) combine features of experiments and non-experiments. They differ from planned experiments, such as randomized controlled trials, in that exposure allocation is not controlled by researchers. They differ from other observational designs in that they evaluate the impact of events or process that leads to differences in exposure. As a result they are, in theory, less susceptible to bias than other observational study designs. Importantly, causal inference relies heavily on the assumption that exposure allocation can be considered ‘as-if randomized’. The target trial framework provides a systematic basis for evaluating this assumption and the other design elements that underpin the causal claims that can be made from NES. Conclusions NES should be considered a type of study design rather than a set of tools for analyses of non-randomized interventions. Alignment of NES to the Target Trial framework will clarify the strength of evidence underpinning claims about the effectiveness of public health interventions.


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