PSYCHOSOCIAL STRESS CONTAGION OF COVID-19: ISSUES AND INTERVENTION CHANNELS

Ensemble ◽  
2021 ◽  
Vol SP-1 (1) ◽  
pp. 44-53
Author(s):  
DR. SOURAV MADHUR DEY ◽  
Keyword(s):  
Social Media ◽  
Substance Dependence ◽  
Virus Disease ◽  
Financial Burden ◽  
Psychosocial Impact ◽  
Economic Losses ◽  
Post Traumatic Stress ◽  
Crisis Prevention ◽  
The Government ◽  
Frontline Healthcare Workers

Along with its elevated contamination and fatality rates, the 2019 Corona Virus Disease (COVID-19) has caused worldwide psychosocial impact by causing mass hysteria, financial burden and economic losses. Mass fear of COVID-19, termed as “coronaphobia”, has generated a glut of psychiatric exposition across diverse strata of the society. So, this review has been set about to portray psychosocial impact of COVID-19. Disease itself conglomerated by mandatory quarantine to counter COVID-19 applied by countrywide lockdowns can generate acute panic, angst, obsessive behaviors, stock piling, paranoia and depression, and post-traumatic stress disorder in due course. These have been stirred up by an “infodemic” spread via various platforms of social media. Outbreak of racism, stigmatization, and xenophobia against particular communities are also being extensively reported. Nonetheless, frontline healthcare workers are at elevated risk of acquiring the disease as well as experiencing detrimental psychological outcomes in shape of exhaustion, worry, trepidation of transmitting infection, augmented substance-dependence and PTSD. The present article attempts to investigate these areas of contagion and suggest intervention dynamics to address the issue and therefore observes that psychosocial crisis prevention and intervention models should be urgently devised by the government, health care personnel and other stakeholders. Appropriate application of internet services, technology and social media to control both pandemic and ‘infodemic’ require to be initiated. Psychosocial alertness by setting up mental organizations particular for future pandemics is indeed crucial.

scholarly journals Extracting Typhoon Disaster Information from VGI Based on Machine Learning

2019 ◽  
Vol 7 (9) ◽  
pp. 318 ◽  
Author(s):  
Yu ◽  
Zhao ◽  
Chin
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Classification System ◽  
High Reliability ◽  
Economic Losses ◽  
Application Range ◽  
Disaster Information ◽  
Disaster Situation ◽  
Typhoon Disaster ◽  
The Government

The southeastern coast of China suffers many typhoon disasters every year, causing huge casualties and economic losses. In addition, collecting statistics on typhoon disaster situations is hard work for the government. At the same time, near-real-time disaster-related information can be obtained on developed social media platforms like Twitter and Weibo. Many cases have proved that citizens are able to organize themselves promptly on the spot, and begin to share disaster information when a disaster strikes, producing massive VGI (volunteered geographic information) about the disaster situation, which could be valuable for disaster response if this VGI could be exploited efficiently and properly. However, this social media information has features such as large quantity, high noise, and unofficial modes of expression that make it difficult to obtain useful information. In order to solve this problem, we first designed a new classification system based on the characteristics of social medial data like Sina Weibo data, and made a microblogging dataset of typhoon damage with according category labels. Secondly, we used this social medial dataset to train the deep learning model, and constructed a typhoon disaster mining model based on a deep learning network, which could automatically extract information about the disaster situation. The model is different from the general classification system in that it automatically selected microblogs related to disasters from a large number of microblog data, and further subdivided them into different types of disasters to facilitate subsequent emergency response and loss estimation. The advantages of the model included a wide application range, high reliability, strong pertinence and fast speed. The research results of this thesis provide a new approach to typhoon disaster assessment in the southeastern coastal areas of China, and provide the necessary information for the authoritative information acquisition channel.

scholarly journals Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China

2019 ◽  
Vol 8 (4) ◽  
pp. 185 ◽  
Author(s):  
Xuehua Han ◽  
Juanle Wang
Keyword(s):  
Social Media ◽  
Spatial Distribution ◽  
Latent Dirichlet Allocation ◽  
Developmental Stages ◽  
Classification Model ◽  
Economic Losses ◽  
Public Servants ◽  
Public Sentiment ◽  
South Central ◽  
The Government

Social media has been applied to all natural disaster risk-reduction phases, including pre-warning, response, and recovery. However, using it to accurately acquire and reveal public sentiment during a disaster still presents a significant challenge. To explore public sentiment in depth during a disaster, this study analyzed Sina-Weibo (Weibo) texts in terms of space, time, and content related to the 2018 Shouguang flood, which caused casualties and economic losses, arousing widespread public concern in China. The temporal changes within six-hour intervals and spatial distribution on sub-district and city levels of flood-related Weibo were analyzed. Based on the Latent Dirichlet Allocation (LDA) model and the Random Forest (RF) algorithm, a topic extraction and classification model was built to hierarchically identify six flood-relevant topics and nine types of public sentiment responses in Weibo texts. The majority of Weibo texts about the Shouguang flood were related to “public sentiment”, among which “questioning the government and media” was the most commonly expressed. The Weibo text numbers varied over time for different topics and sentiments that corresponded to the different developmental stages of the flood. On a sub-district level, the spatial distribution of flood-relevant Weibo was mainly concentrated in high population areas in the south-central and eastern parts of Shouguang, near the river and the downtown area. At the city level, the Weibo texts were mainly distributed in Beijing and cities in the Shandong Province, centering in Weifang City. The results indicated that the classification model developed in this study was accurate and viable for analyzing social media texts during a disaster. The findings can be used to help researchers, public servants, and officials to better understand public sentiments towards disaster events, to accelerate disaster responses, and to support post-disaster management.

Sentiment Analysis of the Indonesian Health Ministry Performance in Covid-19 Crisis using Support Vector Machine (SVM)

2021 ◽  
Vol 10 (1) ◽  
pp. 65
Author(s):  
Fathiyarizq Mahendra Putra ◽  
I Wayan Santiyasa
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Virus Disease ◽  
Recall Rate ◽  
Training Data ◽  
Support Vector ◽  
Communication Tool ◽  
Ministry Of Health ◽  
Internet Users ◽  
The Government

Corona Virus Disease or COVID 19 is a new virus disease that originated in 2019 [6], Indonesia has reported first COVID-19 In 2nd March 2020. Various attempts have been made by the government, such as taking strict measures by temporal lockdown or cordoning off the areas that were suspected of having risks of community spread. As a source of information, the internet has changed substantially,. for example, social media. social media is a communication tool that is very popular among internet users today, From social media, users can update status, send messages, even, become a platform for exchanging socio-economic opinions and political views both in their place of residence or their country. This paper deals with the sentiment analysis of Indonesian after the peformance of Indonesian Ministry Of Health. We used the social media platform Twitter for our analysis. Tweets were studied to gauge the opinion of Indonesian towards peformance of Indonesian Ministry Of Health. Tweets were extracted using the two prominent keywords used namely: “terawan ”and “menkes” from June 15th to September 19th 2020. A total of 200 tweets were considered for the analysis. This study has successfully implemented the SVM algorithm for sentiment analysis on tweet data about peformance of Indonesian Ministry Of Health during COVID-19 Crisis. This is shown by the accuracy of using tweet data as much as 200 data, which is 172 data are training data and 28 are testing data. Besides the amount of data that affects accuracy, there are also other factors, namely the use of the kernel and the number of classes used. The results show that the Linear Kernel has the best accuracy, precision and recall rate compared to other kernels, respectively 75% for accuracy, 78.4% for precision and a recall value of 75%. for polynomial kernels, Gaussian and Sigmoid have the same accuracy, precision, and recall rates, namely, respectively. 60.71% for accuracy, 36.86% for precision and 60.71% recall value.

scholarly journals DAKWAH DI TENGAH PANDEMI (STUDI TERHADAP RESPONS DAI DI MEDIA SOSIAL)

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Diajeng Laily Hidayati ◽  
Reza Fahlevi
Keyword(s):  
Social Media ◽  
Social Life ◽  
Virus Disease ◽  
Affective Response ◽  
Real Life ◽  
Face Mask ◽  
Positive Thinking ◽  
Social Media Data ◽  
The Government ◽  
Media Data

The Covid-19 (Corona Virus Disease-19) outbreak has managed to change the patterns of social life on society, including the change regarding the way Da’wa is performed; from conventional direct Da’wa to mediated Da’wa through internet. This article aims at describing responses of the Da’is (proselytizers) in social media pertaining to the spread of the Covid-19. This article applied qualitative method to analyse Da’wa contents related to Covid-19 on social media. Data were collected through observation and documentation. Findings show that there are at least three types of responses from the Da’is; cognitive, affective, and behavioural responses.  Cognitive response is manifested in the form of delivering information regarding Covid-19 from the general and medical perspective such as promoting frequent hand-washing, maintaining good hygiene, obeying the government measurements, maintaining healthy level of gratitude and praying to God to be saved from the outbreak. Affective response is manifested in the form of promoting empathy, positive thinking, and avoiding panic. Behavioural response is manifested in the form of giving real-life example such as performing online congregation (pengajian online), wearing face mask, applying appropriate disinfection, and helping those heavily affected by the outbreak.Keywords: Covid-19, Dai, responses, and social media. 

scholarly journals COVID Infodemic is turning public into Covidiots: What can be done?

2021 ◽  
Vol 33 (2) ◽  
pp. 236-238
Author(s):  
Neeta Kumar ◽  
Sanjiv Kumar
Keyword(s):  
Social Media ◽  
Virus Disease ◽  
Digital Technologies ◽  
False Information ◽  
Misleading Information ◽  
The Public ◽  
The World ◽  
The Government ◽  
Google Search ◽  
Desirable Behavior

An unprecedented pandemic of Corona Virus Disease 2019 (COVID 19) has overwhelmed the health systems of countries across the world. The government and other scientific bodies are providing authentic information to educate the public and promote desirable behavior to prevent new infections and reduce deaths.  COVID-19 pandemic is the first in human history in which social media and new digital technologies are being used as key tools to inform the public. However, there is a lot of misinformation also being spread through these channels. Misinformation is false, inaccurate, or misleading information that is communicated regardless of an intention to deceive. Access to social media has improved substantially, which has contributed to spread of misinformation. Today, anybody can write anything on social media such as Twitter, WhatsApp, Facebook, TikTok, YouTube etc without any evidence or falsely attribute the wrong information to well-known experts or renowned institutions. They may be doing it to support their own biases or malign the government purposefully or innocently without checking authenticity. The number of mentions in media for Ebola were 11.1 million, for MERS, 23.2 million, HIV, 40 million, SARS, 56.2 million and COVID19 it has crossed 1.1 billion.3. A google search for COVID 19 on 08 June 2021 gave 5340 million hits compared to 216 million for a much older disease HIV/AIDS. This editorial is an attempt to help spot the false information and deal with it.

scholarly journals Effectiveness of Covid-19 Information through Social Media based on Public Intention

2021 ◽  
Vol 4 (1) ◽  
pp. 37-44
Author(s):  
Dwi Yuniarto ◽  
Hasna Nazzala Khozinaturrohmah ◽  
Aedah Binti Abd. Rahman
Keyword(s):  
Social Media ◽  
Virus Disease ◽  
Partial Least Square ◽  
Least Square ◽  
Work Relations ◽  
Task Forces ◽  
Corona Virus ◽  
The Government ◽  
Use Of Social Media ◽  
The Relationship

Corona Virus Disease-19 pandemic has changed people's habits today. Likewise, with the use of social media in terms of conveying information to the public. The government has now formed task forces in each region to prevent the spread of the virus. Among its duties is to convey information related to the prevention and spread of Corona Virus Disease-19. Considering that information delivery is deemed ineffective, some people do not fully know information about the Corona Virus Disease-19. The purpose of this study is to determine the effectiveness of information on Corona Virus Disease-19. To understand the relationship between the public's intention to end the Covid-19 pandemic and the effectiveness of Covid-19 information through social media the statistical analysis used is Cramer's V Non-Parametric Statistics, meanwhile, to find out whether the public's intention to end the Covid-19 pandemic affects the effectiveness of Covid-19 information through social media it is done through the partial least square approach. Questionnaire distribution via WhatsApp and made in google form to facilitate the distribution and filling. The number of responses was 401 respondents. The results obtained, the relationship between the latest education and attitudes when receiving hoax information and work relations with the frontline to end Corona Virus Disease-19 is that the community is declared insignificant, while the intention variable does not have a significant effect on the effectiveness factor. Different objects and respondents will be more interesting for further research as material for other researchers. Research results can be used as material for related parties, in this case the government to determine the media used to convey information about Covid-19.

EFFECT OF DIGITAL COMMUNITY TOWARDS DEMOCRACY PROCESS: DIGITAL PARTISIPATION ANALYSIS IN INDONESIA

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Alih Aji Nugroho
Keyword(s):  
Public Policy ◽  
Social Media ◽  
Political Participation ◽  
Public Space ◽  
Rapid Development ◽  
Critical Mass ◽  
Digital Society ◽  
Digital World ◽  
Digital Community ◽  
The Government

The world is entering a new phase of the digital era, including Indonesia. The unification of the real world and cyberspace is a sign, where the conditions of both can influence each other (Hyung Jun, 2018). The patterns of behavior and public relations in the virtual universe gave rise to new social interactions called the Digital Society. One part of Global Megatrends has also influenced public policy in Indonesia in recent years. Critical mass previously carried out conventionally is now a virtual movement. War of hashtags, petitions, and digital community comments are new tools and strategies for influencing policy. This paper attempts to analyze the extent of digital society's influence on public policy in Indonesia. As well as what public policy models are needed. Methodology used in this analysis is qualitative descriptive. Data collection through literature studies by critical mass digital recognition in Indonesia and trying to find a relationship between political participation through social media and democracy. By processing the pro and contra views regarding the selection of social media as a level of participation, this paper finds that there are overlapping interests that have the potential to distort the articulation of freedom of opinion and participation. - which is characteristic of a democratic state. The result is the rapid development of digital society which greatly influences the public policy process. Digital society imagines being able to participate formally in influencing policy in Indonesia. The democracy that developed in the digital society is cyberdemocracy. Public space in the digital world must be guaranteed security and its impact on the policies that will be determined. The recommendation given to the government is that a cyber data analyst is needed to oversee the issues that are developing in the digital world. Regulations related to the security of digital public spaces must be maximized. The government maximizes cooperation with related stakeholders.Keywords: Digital Society; Democracy; Public policy; Political Participation

The Use of Social Media by the Botswana Government and Governance of Liquid Communication

Mousaion ◽  
2019 ◽  
Vol 37 (1) ◽  
Author(s):  
Tshepho Lydia Mosweu
Keyword(s):  
Social Media ◽  
Customer Service ◽  
Community Involvement ◽  
Media Content ◽  
Service Access ◽  
Communication Tool ◽  
African Countries ◽  
The World ◽  
The Government ◽  
Use Of Social Media

Social media as a communication tool has enabled governments around the world to interact with citizens for customer service, access to information and to direct community involvement needs. The trends around the world show recognition by governments that social media content may constitute records and should be managed accordingly. The literature shows that governments and organisations in other countries, particularly in Europe, have social media policies and strategies to guide the management of social media content, but there is less evidence among African countries. Thus the purpose of this paper is to examine the extent of usage of social media by the Botswana government in order to determine the necessity for the governance of liquid communication. Liquid communication here refers to the type of communication that goes easily back and forth between participants involved through social media. The ARMA principle of availability requires that where there is information governance, an organisation shall maintain its information assets in a manner that ensures their timely, efficient and accurate retrieval. The study adopted a qualitative case study approach where data were collected through documentary reviews and interviews among purposively selected employees of the Botswana government. This study revealed that the Botswana government has been actively using social media platforms to interact with its citizens since 2011 for increased access, usage and awareness of services offered by the government. Nonetheless, the study revealed that the government had no official documentation on the use of social media, and policies and strategies that dealt with the governance of liquid communication. This study recommends the governance of liquid communication to ensure timely, efficient and accurate retrieval when needed for business purposes.

Psychological/psychiatric impact of the novel coronavirus outbreak: lessons learnt from China and call for timely crisis interventions in Italy

2020 ◽  
Author(s):  
Patrizia Zeppegno ◽  
Carla Gramaglia ◽  
Chiara Guerriero ◽  
Fabio Madeddu ◽  
Raffaella Calati
Keyword(s):  
Mental Health ◽  
Migrant Workers ◽  
Mental Health Problems ◽  
Virus Disease ◽  
Selection Process ◽  
Psychiatric Patients ◽  
Homeless People ◽  
World Health ◽  
Rapid Review ◽  
Post Traumatic Stress

Background: The World Health Organization declared the Corona Virus Disease 19 (Covid-19) a pandemic in March 2020. Psychological impact of Covid-19 can be consisent and should be prevented with adequate measures. Methods: We performed a literature mini review searching for studies in PubMed focusing on the psychological/psychiatric impact of Covid-19.Results: The selection process yielded 34 papers focusing on the relation between Covid-19 and mental health: 9 correspondence, 8 letters to the editor, 7 commentaries, 3 editorials, 4 original studies, 2 brief reports, and 1 a rapid review. The majority of the articles were performed in China. They focused on the general population and particular categories considered more fragile, e.g., psychiatric patients, older adults, international migrant workers, homeless people. Authors are unanimous in believing that Covid-19 will likely increase the risk of mental health problems and worsen existing psychiatric disorders/symptoms in patients, exposed subjects, and staff. Together with the negative emotionality related to the unpredictability of the situation, uncertainty concerning the risk, excessive fear, fear of death, loneliness, guilt, stigma, denial, anger, frustration, boredome, some symptoms might appear such as insomnia until patophobia (specifically, coronaphobia), depressive and anxiety disorders, post-traumatic stress disorder, and suicidal risk.Limitations: Literature is rapidly increasing and present results are only partial. Conclusions: Mental health care should not be overlooked in this moment. The experience of China should be of help for all the countries facing with Covid-19, among them Italy.

Psychosocial Impact of Covid-19 Pandemic on Frontline Healthcare Workers in Pakistan: A Cross-Sectional Study

2020 ◽  
Author(s):  
Quratul-Ain Zafar
Keyword(s):  
Data Collection ◽  
Emotional Distress ◽  
Healthcare Workers ◽  
Cross Sectional Study ◽  
Psychosocial Impact ◽  
Control Group ◽  
Study Group ◽  
Sectional Study ◽  
Cross Sectional ◽  
Frontline Healthcare Workers

Objective: The purpose of this study was to evaluate the impact of the COVID-19 pandemic on frontline healthcare workers in Pakistan in terms of psychological factors emotional distress, insomnia, and burnout. Study Design: Observational cross-sectional study. Place and Duration of Study: This study was conducted at different hospitals across Pakistan and data collection was carried out from 15th June 2020 till 15th August 2020. Material and Methods: This was a questionnaire-based study aiming to compare the levels of burnout and emotional distress between frontline COVID-19 and non-COVID-19 healthcare workers. Any physician, nurse, and other healthcare workers were recruited from emergency care units and Covid-19 care units (target group), and non-COVID-19 care units (control group). Participation was voluntary and participants had to complete self-reported questionnaires and scales. A mixed-mode data collection was carried out, either in paper or web-based form to ensure maximum participation. Results: The independent t-test showed a statistically significant difference between the two groups regarding depression, stress, and insomnia. The study group showed higher scores for these factors than the control group. Chi-square test of association revealed significant scores of burnout and professional fulfillment in both groups. There was a higher prevalence of burnout in the study group than in the control group. Conclusion: This study concludes that there was a significant psychosocial impact of the Covid-19 pandemic in the frontline healthcare workers measured in terms of emotional distress, insomnia, and burnout.

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