scholarly journals Public Response to the Implementation of Health Protocols during the Covid-19 Pandemic

Author(s):  
Angle Lustre ◽  
Liza Chiu

The public's reaction to the implementation of health protocols during the Covid-19 pandemic is discussed in this report, as well as the idea of enforcing public health protocols, the relevance of implementing health protocols, and the public's reaction to implementing health protocols during the Covid-19 pandemic. This thesis is a quantitative one that relies on data gathered from surveys. The public reaction demonstrates that health guidelines are needed to strengthen attempts to avoid and monitor COVID-19 for people in public places and hospitals in order to avoid the emergence of new epicenters / clusters during the pandemic, as shown by the 78 percent who cooperate and the 22 percent who deliberately and inadvertently disregard. The community's position in breaking the COVID-19 transmission chain, or the possibility of contracting and distributing it, must be accomplished by the implementation of health protocols. The community's reaction to COVID 19 varies; some people really follow the government's protocol, which some people understand; but, for economic reasons, they still operate outside the home to survive.

Author(s):  
Pasquot L ◽  
◽  
Giorgetta S ◽  

Many are the aspects we should ponder on, after 17 months from the burst of the COVID-19 pandemic, especially as nurses. Due to the numerous cuts to the public health sector in the last decades in Italy, the sanitary emergency has been a great sacrifice for health professionals, as public health was completely unprepared to withstand it. The Italian government reacted to this lack of preparation with exceptionally urgent measures. Although, these measures were implemented long after the initial state of confusion and of inappropriate management, they brought about stability and led to a containment strategy for the spread of the virus across the nation [1]. The reduction in the number of COVID-19 diagnoses was mainly achieved through social distancing. At first this was only required to a small number of communities affected by high infection rates, but was eventually extended to the rest of the country from March 2020 [2]. The national lockdown during the first COVID-19 wave (from March to May 2020), was replaced by regional lockdowns in the second wave (from November 2020). As of now, regional lockdowns are integrated by the vaccine campaign and Green Pass enforcement. In November 2020 the Italian Prime Minister at the time, issued legislative measures to enforce regional lockdowns, limiting nonessential movements, cafes, restaurants and other public places opening hours. This legislation established to classify the national territory in different levels of restriction based on the infection rate: red zones - highest risk of infection, orange zones - medium high risk and yellow zones with a minor risk of infection. A later legislation introduced the white zone for territories with the lowest risk of infection (DPCM-14th January 2021). The infection rate has been important to establish a region’s tier status; however, it is not the defining parameter anymore. A new legislation from July 2021 (n.105 - 23rd July 2021), opted to classify a region’s tier status according to the hospital bed’s occupancy rate for COVID-19 patients in intensive care and other medical areas.


2021 ◽  
Vol 31 (Supplement_2) ◽  
Author(s):  
Ana Carênina Albuquerque Ximenes ◽  
Ana Angélica Mathias Macedo ◽  
João José Joaquim ◽  
Marta Vasconcelos Pinto ◽  
Fernando Mendes

Abstract Background The SARS-CoV-2 pandemic imposed challenges to researchers and governments in proposing political strategies to contain the transmission chain. Despite being an issue of global impact, the public policy strategies in fighting this pandemic depend on each country. This scenario demands studies to describe and explore these policies' institutionality. In this context, a question raises on how the biggest economies of the Portuguese language, Brazil and Portugal, have conducted the public policy agenda against the pandemic. Methods A comparative, qualitative, and descriptive study of the public policy agenda setting in Brazil and Portugal to fight against the pandemic was conducted through bibliographic and document research. The theoretical axis adopted was the Institutional Economy and the elaborations and management of public policy, mainly Douglas North, Geoffrey M. Hodgson, and Amatya Sen’s studies. Results The combat against the SARS-CoV-2 pandemic was translated in a search for urgency analytical theories, elaboration, implementation, and evaluation of public policies in Brazil and Portugal. In both countries, social restriction strategies were adopted such as closing public places, stores, and schools. Also, some economic actions were established to mitigate these restrictions’ impacts, more limited in Brazil as a neoliberal picture of the current government. Conclusions The results pointed to differences and similarities in Portuguese and Brazilian agendas, especially with the virus transmission mitigating strategies and the social and economic assistance, being Brazil suffering from the negationism culture that promoted contagion and mortality acceleration.


2020 ◽  
Author(s):  
Jia Xue ◽  
Junxiang Chen ◽  
Ran Hu ◽  
Chen Chen ◽  
Chengda Zheng ◽  
...  

BACKGROUND It is important to measure the public response to the COVID-19 pandemic. Twitter is an important data source for infodemiology studies involving public response monitoring. OBJECTIVE The objective of this study is to examine COVID-19–related discussions, concerns, and sentiments using tweets posted by Twitter users. METHODS We analyzed 4 million Twitter messages related to the COVID-19 pandemic using a list of 20 hashtags (eg, “coronavirus,” “COVID-19,” “quarantine”) from March 7 to April 21, 2020. We used a machine learning approach, Latent Dirichlet Allocation (LDA), to identify popular unigrams and bigrams, salient topics and themes, and sentiments in the collected tweets. RESULTS Popular unigrams included “virus,” “lockdown,” and “quarantine.” Popular bigrams included “COVID-19,” “stay home,” “corona virus,” “social distancing,” and “new cases.” We identified 13 discussion topics and categorized them into 5 different themes: (1) public health measures to slow the spread of COVID-19, (2) social stigma associated with COVID-19, (3) COVID-19 news, cases, and deaths, (4) COVID-19 in the United States, and (5) COVID-19 in the rest of the world. Across all identified topics, the dominant sentiments for the spread of COVID-19 were anticipation that measures can be taken, followed by mixed feelings of trust, anger, and fear related to different topics. The public tweets revealed a significant feeling of fear when people discussed new COVID-19 cases and deaths compared to other topics. CONCLUSIONS This study showed that Twitter data and machine learning approaches can be leveraged for an infodemiology study, enabling research into evolving public discussions and sentiments during the COVID-19 pandemic. As the situation rapidly evolves, several topics are consistently dominant on Twitter, such as confirmed cases and death rates, preventive measures, health authorities and government policies, COVID-19 stigma, and negative psychological reactions (eg, fear). Real-time monitoring and assessment of Twitter discussions and concerns could provide useful data for public health emergency responses and planning. Pandemic-related fear, stigma, and mental health concerns are already evident and may continue to influence public trust when a second wave of COVID-19 occurs or there is a new surge of the current pandemic.


Author(s):  
Craig D. Croskery ◽  
Kathleen Sherman-Morris ◽  
Michael E. Brown

AbstractThe coronavirus disease 2019 (COVID-19) pandemic resulted in unprecedented challenges that dramatically affected the way of life in the United States and globally in 2020. The pandemic also made the process of protecting individuals from tornadoes more challenging, especially when their personal residence lacks suitable shelter, particularly for residents of mobile homes. The necessity of having to shelter with other families – either in a public shelter or at another residence – in order to protect themselves from a tornado threat conflicted with the advice of public health officials who recommended avoiding public places and limiting contact with the public to minimize the spread of COVID-19. There was also a perception that protecting against one threat could amplify the other threat. A survey was undertaken with the public to determine the general viewpoint to see if that was indeed the case.The results found that it was possible to attenuate both threats provided that careful planning and actions were undertaken. Understanding how emergency managers should react and plan for such dual threats is important to minimize the spread of COVID-19 while also maintaining the safety of the public. As there was no precedence for tornado protection scenarios amidst a pandemic, both short-term and long-term recommendations were suggested which may also be useful in future pandemic situations.


Author(s):  
Abrar Ahmed ◽  
Syed Shariq Jaffrey ◽  
Farhat Fatima ◽  
Fatimah Ahmed Elnour ◽  
Marwa Saleh Mohamed Abuzaid ◽  
...  

Background: Case investigation and surveillance is a key step in managing any epidemic. This report aimed to identify the main challenges faced by COVID-19 case investigators in Qatar and to suggest possible solutions to improve the case investigation process in managing future pandemics. Methods: Purposive sampling was used to select 40 COVID-19 case investigators posted at the Ministry of Public Health, Qatar. Interviewees were from diverse educational and cultural backgrounds and had been investigating COVID-19 cases for more than 6 months, at the time of interview. Face-to-face semi-structured interviews were done to collect data which was anonymized before analyzing for the purpose of this qualitative study. Results: The most common concern faced in conducting case investigations was language barrier, given the multinational and diverse diasporas Qatar is host to. Authenticity of the investigation was a matter of suspicion for many patients; whereas the majority of the investigators opined that multiple calls received from different healthcare departments asking for information overwhelmed many patients. Laborers/migrant workers often did not divulge information due to fear of repercussions from their supervisors. Social stigma associated with COVID-19caused reluctance to reveal the index case and close contacts. Information regarding social gatherings attended and public places visited was often concealed . Cultural differences as well hindered smooth investigation in a few cases. Rising case load at times put restraints on improved coordination between different health departments and structured guidance for investigators about the pandemic response system, which could help to deliver appropriate health services more efficiently. Comprehensive orientation in using the Electronic Surveillance database could also improve the efficacy of epidemiological analysis for improved public health outcomes. Conclusion: Addressing these challenges will help the public health team in Qatar to increase preparedness and efficiency in managing potential future outbreaks, especially in view of upcoming mass gathering events such as the FIFA 2022 World Cup.


2021 ◽  
pp. 089011712110172
Author(s):  
Feng Hao ◽  
Wanyun Shao

Purpose: To examine multilevel predictors on American public response to COVID-19. Design: Multilevel study. Setting: A national survey was conducted by Qualtrics from August 24 to September 11, 2020. The state-level variables were constructed on data from multiple sources. Subjects: 2,440 respondents 18 years and older from all 50 states and D.C. Measures: The outcome variable is the public response to COVID-19 measured by threat perception, behavioral adjustment, and policy support. The predictors include individual-level sociodemographic factors and state-level indicators about public health conditions, political context, and economic recovery. Analysis: Multilevel structural equation modeling is used for statistical estimation. Results: People from states with more COVID-19 cases (β = 0.020, p < 0.1), mandatory face mask policies (β = 0.069, p < 0.05), and liberal governments (β = 0.002, p < 0.05) are more likely to respond while people from states whose economies have recovered closer to the pre-pandemic level are less likely to do so (β = −0.005, p < 0.05). Regarding individual-level predictors, older people (β = 0.005, p < 0.001) and people with better education (β = 0.029, p < 0.01), leaning toward the Democrat Party (β = 0.066, p < 0.001) and liberal political ideology (β = 0.094, p < 0.001), and have stronger generalized trust (β = 0.033, p < 0.001) are more likely to respond than their counterparts. Conclusion: Differences in the public response to the pandemic stem from variations in individual characteristics and contextual factors of states where people live. These findings contribute to the rapidly growing literature and have implications for public health policies.


Author(s):  
Akif Mustafa ◽  
Imaduddin Ansari ◽  
Subham Kumar Mohanta ◽  
Shalem Balla

Emergency situations typically lead to a plethora of public attention on social media platforms like ‘Twitter’. Twitter provides a unique opportunity for public health researchers to analyze untampered information shared during a disease outbreak. Considering the ongoing public health emergency, we conducted a study investigating the public reaction to COVID-19 pandemic around the world using in-depth thematic analysis of Twitter data. A dataset of 212846 tweets was retrieved over a period of seven days (from April 13, 2020, to April 19, 2020) via Twitter Application Programme Interface (API). The following five keywords were used to collect the tweets: “coronavirus”, “covid-19”, “corona”, “covid”, “covid19”. After data filtering and cleaning 6348 tweets were randomly selected for in-depth thematic analysis. Thematic analysis was done manually using a two-level coding guide. A total of six main themes emerged from the analysis: ‘sentiments and feelings’, ‘Information’, ‘General Discussion’, ‘Politics’, ‘Food’, and ‘Sarcasm or humor’. The aforementioned themes were divided into 26 sub-themes. The results of the thematic analysis show that 30.1% of the tweets were regarding ‘sentiments and feelings’, 15.6% were regarding ‘politics’, and 6.5% were related to ‘sarcasm or humor’. The present study is the first study that has analyzed the public response to COVID-19 on Twitter. The study demonstrates that social media platforms (like Twitter) can be used to conduct infodemiological studies related to public health emergencies like the COVID-19 pandemic. We believe that the results of this study will be of potential interest to policymakers, health authorities, stakeholders, and public health and social science researchers. KEYWORDS:COVID-19, Twitter, Social Media, Coronavirus, Lockdown, Pandemic


10.2196/20550 ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. e20550
Author(s):  
Jia Xue ◽  
Junxiang Chen ◽  
Ran Hu ◽  
Chen Chen ◽  
Chengda Zheng ◽  
...  

Background It is important to measure the public response to the COVID-19 pandemic. Twitter is an important data source for infodemiology studies involving public response monitoring. Objective The objective of this study is to examine COVID-19–related discussions, concerns, and sentiments using tweets posted by Twitter users. Methods We analyzed 4 million Twitter messages related to the COVID-19 pandemic using a list of 20 hashtags (eg, “coronavirus,” “COVID-19,” “quarantine”) from March 7 to April 21, 2020. We used a machine learning approach, Latent Dirichlet Allocation (LDA), to identify popular unigrams and bigrams, salient topics and themes, and sentiments in the collected tweets. Results Popular unigrams included “virus,” “lockdown,” and “quarantine.” Popular bigrams included “COVID-19,” “stay home,” “corona virus,” “social distancing,” and “new cases.” We identified 13 discussion topics and categorized them into 5 different themes: (1) public health measures to slow the spread of COVID-19, (2) social stigma associated with COVID-19, (3) COVID-19 news, cases, and deaths, (4) COVID-19 in the United States, and (5) COVID-19 in the rest of the world. Across all identified topics, the dominant sentiments for the spread of COVID-19 were anticipation that measures can be taken, followed by mixed feelings of trust, anger, and fear related to different topics. The public tweets revealed a significant feeling of fear when people discussed new COVID-19 cases and deaths compared to other topics. Conclusions This study showed that Twitter data and machine learning approaches can be leveraged for an infodemiology study, enabling research into evolving public discussions and sentiments during the COVID-19 pandemic. As the situation rapidly evolves, several topics are consistently dominant on Twitter, such as confirmed cases and death rates, preventive measures, health authorities and government policies, COVID-19 stigma, and negative psychological reactions (eg, fear). Real-time monitoring and assessment of Twitter discussions and concerns could provide useful data for public health emergency responses and planning. Pandemic-related fear, stigma, and mental health concerns are already evident and may continue to influence public trust when a second wave of COVID-19 occurs or there is a new surge of the current pandemic.


2016 ◽  
Vol 5 (3) ◽  
pp. 117-123 ◽  
Author(s):  
Greg Swensen

Swensen, G. (2016). Public space and alcohol advertising: Exploratory study of the role of local government. The International Journal Of Alcohol And Drug Research, 5(3), 117-123. doi:http://dx.doi.org/10.7895/ijadr.v5i3.224The paper argues that local government bodies in Western Australia, which have a long-standing key role in overseeing public health standards and regulating business activities, potentially have a major, but under-recognized, capability to regulate the promotion and advertising of alcohol in public places overseen by them. It is contended that because local government bodies already possess extensive statutory powers to undertake this function, there is a compelling case for them to actively regulate alcohol advertising as they “own” most of the public space in Australian cities and towns.As the proposition would involve the prohibition of alcohol advertising, this could mean that local authorities may balk at assuming this responsibility due to a possible loss of revenue if they have already issued licenses to companies to construct and maintain key parts of the public infrastructure, like bus shelters, seating, and other street furniture, in return for being able to charge fees for advertising on these facilities.It is contended that local government authorities would ably perform a front-line role in regulating alcohol advertising in public places because of their reliance on community-based processes of consultation and decision-making for planning, in addition to understanding this role as an extension of a long standing role concerned with the advancement of public health and traffic safety.


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