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India is one of the world's worst affected countries due to COVID-19 pandemic. The world is struglling to fight agaisnt centuries pandmemic. Globally goverments have been imposed lockdown and restrictions to control situation and minimise spread of infection. Social media was found the most practical and efficiant mediam to share information and opnions about pandmemic. At time of social distancing, social media helped people to share their feelings and find support. Same time overuse of social media palteform created panic and misinformation across countries. People sharing unconfirmed information about covid pandmemic and goverments were found it difficult to handle.
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This paper is aimed to share the community service experiences held at Boro Sumbersari hamlet which is located at 98A UB forest plot. Boro Sumbersari hamlet is inhabited by Magersaren community. The Magersaren community are farmers and forest workers who depend on forest for their livelihoods. Magersaren has been practicing agroforestry for a long time. They grow Robusta and Arabica coffee among other forest plants. Currently coffee is a favorite beverage, the number of its consumers continues to increase. Many people are interested in the ground coffee beans made by Magersaren traditionally, but it has not been widely marketed. The purpose of this community service program is to generate an alternative source of Magersaren household income, through the added value improvement of local flavored ground coffee beans they have. The added value of magersaren's ground coffee beans can be increased through product development technologies such as attractive packaging techniques and the creation of new variants ground coffe beans by adding brown sugar and powdered ginger. The execution of community service activities that have been carried out consists of: (1)program socialization;(2)focus group discussion;(3)production, packaging and management training;(4)small-business starting up;(5)program evaluation. These community service activities are held during the social distancing due to the COVID-19 pandemic. This condition becomes an obstacle to the effectiveness of program implementation. The start-up small business needs to be continuously supported in order to survive through a critical period of business development, especially under economic pressure during the pandemic.
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It is reported that networks developed through the ACIAR Pacific Plant Biosecurity Partnership programme continue to help strengthen capacity in the prevention of the spread of pests and disease in crops throughout the Pacific region, despite COVID-19 disrupting the programme. Participants from 9 Pacific countries have developed their skills, networks and capacity to facilitate trade and prevent the spread of disease. Relationships and resources created through the programme continue to provide support for information-sharing around plant pests and diseases.
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Information is a form of assistance in itself. Access to accurate information can allow people to make informed decisions to protect themselves. Moreover, understanding drivers of behaviour and integrating that understanding into communication approaches can make information more likely to result in desired action. Preparedness and response activities should be based on protection and related "do no harm" principles and conducted in a participatory manner that is informed by community feedback. Communication efforts must respond to stakeholder concerns, mis/disinformation and behavioral factors. Transparent and consistent messaging in local languages through trusted channels can help address barriers to change. Furthermore, by using community-based networks, engaging key influencers and building local capacities, communication can more effectively mitigate risks to more efficiently establish the authority and trust required to rapidly mount responses. Hence, Risk communication and community engagement (RCCE) refers to the processes and approaches to systematically consult, engage and communicate with communities who are at risk, or whose practices affect risk. The aim is to encourage, enable and include stakeholders in the prevention of and response to risks by adapting communication to local realities. In the case of COVID-19, RCCE enables authorities and communities to work together to promote healthy behaviour and reduce the risk of spreading infectious diseases. The Food and Agriculture Organization of the United Nations (FAO) developed this guidance note to support Pillar IV of the country-level activities under the framework of FAO's component of the Global Humanitarian Response Plan for COVID-19: "Ensuring food supply chain actors are not at risk of COVID 19 transmission" through risk communication and community engagement (RCCE), together with the World Health Organization (WHO) and national authorities. In alignment with the Organization's commitments on Accountability to Affected Populations (AAP), this guidance note aims to support country offices in designing and implementing inclusive RCCE initiatives.
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Parents' trust in information sources on vaccines influences their decision to vaccinate their children. This study explores how trust in information sources can promote or reduce vaccine hesitancy among parents. We conducted a systematic review and qualitative meta-synthesis of 29 vaccine hesitancy studies that focused on information and trust. We found that parents were particularly distrustful of (1) pharmaceutical companies, (2) physicians, (3) the government, and (4) academic research. Distrust partly stemmed from a belief that pharmaceutical companies unduly influenced physicians, the government, and academic research to maximize financial profit at the expense of population health. A non-judgmental, nonpartisan approach-whether with health care providers or family and friends-increased parents' trust in the information source. Strategies that address parental concerns regarding scientific research and improve communication between parents and providers may increase adherence to vaccination schedules.
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Background: Health infodemic undermines public health response, results in poor observance of public health measures and costs lives. Health campaigns will not produce intended results without controlling misinformation. This study aimed to analyzed the correlation between infodemic, COVID-19 stress and media trust. Subjects and Method: This was a cross sectional study conducted using online structured questionnaire, from December 2020 to January 2021. A total of 470 participants among African twitter community were randomly selected for this study. The dependent variables were COVID-19 stress and media trust. The independent variable was while Infodemic serve. The data was analysed using Pearson's product moment correlation coefficient test.
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Health is an important part of human life. The awareness about the quality health care plays a major role in the human life. The present Corona virus Disease (COVID-19) is infectious and fast spreading. In a country like India, prevention of the infection is still the best option. The use of Geo-Information Communication Technology (Geo-ICT) framework can help in the prevention of spread of the disease. The use of geo-spatial technologies simplifies the complex data to improve decision making. In this manuscript, an attempt is made to design a geo-spatial framework to capture data, store data in centralized geo-spatial data bank and use the data to alert the citizens in near real time for COVID-19 clusters using mobile map interface. The solution will support citizens in protecting themselves from infection. The paper also discusses the methods of data moderation and data dissemination to the mobile app users. We conclude that the present study is an effort towards enabling the information dissemination process for quick and reliable mitigation measures.
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Anti-vaccine content is rapidly propagated via social media, fostering vaccine hesitancy, while pro-vaccine content has not replicated the opponent's successes. Despite this dis-parity in the dissemination of anti- and pro-vaccine posts, linguistic features that facilitate or inhibit the propagation of vaccine-related content remain less known. Moreover, most prior machine-learning algorithms classified social-media posts into binary categories (e.g., misinformation or not) and have rarely tackled a higher-order classification task based on divergent perspectives about vaccines (e.g., anti-vaccine, pro-vaccine, and neutral). Our objectives are (1) to identify sets of linguistic features that facilitate and inhibit the propagation of vaccine-related content and (2) to compare whether anti-vaccine, pro-vaccine, and neutral tweets contain either set more frequently than the others. To achieve these goals, we collected a large set of social media posts (over 120 million tweets) between Nov. 15 and Dec. 15, 2021, coinciding with the Omicron variant surge. A two-stage framework was developed using a fine-tuned BERT classifier, demonstrating over 99 and 80 percent accuracy for binary and ternary classification. Finally, the Linguistic Inquiry Word Count text analysis tool was used to count linguistic features in each classified tweet. Our regression results show that anti-vaccine tweets are propagated (i.e., retweeted), while pro-vaccine tweets garner passive endorsements (i.e., favorited). Our results also yielded the two sets of linguistic features as facilitators and inhibitors of the propagation of vaccine-related tweets. Finally, our regression results show that anti-vaccine tweets tend to use the facilitators, while pro-vaccine counterparts employ the inhibitors. These findings and algorithms from this study will aid public health officials' efforts to counteract vaccine misinformation, thereby facilitating the delivery of preventive measures during pandemics and epidemics. © 2022 IEEE.
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One of the main causes of deterioration in mental health in the pandemic was the mishandling of information. The objective of this study was to evaluate the frequency of fear or perception of misinformation transmitted by the media and its influence on the mental health of the Peruvian population after the first wave. Analytical cross-sectional study. Which measured in almost 10,000 Peruvian inhabitants the perception of fear or exaggeration of the news with a previously validated instrument (global Cronbach's Alpha: 0.92), but this was post-first wave. The main perceptions were shown and it was associated with sex, age and educational level. Television broadcast more fear (12% strongly agree and 27% agree) and exaggeration (13% strongly agree and 26% agree);followed by social media. Men had a higher fear score in general (Coefficient: 1.83;95% CI: 1.01-3.31;p value = 0.047);Furthermore, according to the level of education, compared to those who had up to primary school, those who had secondary school had a higher overall score (Coefficient: 4.53;95% CI: 1.93-10.64;p value = 0.001), of exaggeration (Coefficient: 1.73;95% CI: 1.31-2.28;p value < 0.001), of fear (Coefficient: 1.73;95% CI: 1.31-2.28;p value < 0.001) and communication by friends / health personnel (Coefficient: 1.72;95% CI: 1.29-2.30;p value < 0.001);adjusted for age and department of residence. In general, it was observed that those with only secondary education were more afraid and were influenced by relatives and acquaintances.
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This article briefly describes a series of extension materials created by LSU AgCenter and Louisiana Sea Grant to assist different sectors of the community to respond to public health concerns associated with COVID-19. The materials created included a series of fact sheets on a variety of issues, including food delivery and take-out, fishing safety information and seafood processing plants. In addition, a series of six posters was developed to create awareness of social distancing among store employees and customers. Two fact sheets were created for the seafood industry. "Fishing Safety and Information During a Public Health Emergency" highlights the health of people working on the boats, the proper use of disinfectants, and considerations when fishers sell their catch directly to consumers. The other fact sheet is "Public Health Emergency Response for Seafood Processing Plants During COVID-19," which provides guidance on the risks associated for processing plants during the pandemic, how to identify high-risk areas, and how to control and prevent the transmission of the virus among employees and visitors. The goal is to minimize person-to-person contact in the plant and during processing. To help create awareness on the control and prevention of the transmission of COVID-19, graphics and videos are available on the LSU AgCenter website for sharing through social media.
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The study carried out an assessment of the perceptions of health professionals in Nigeria on the awareness messaging on COVID-19 directed at the public using the SMS (Short Message Service) Technology. The researcher focused on health professionals in the metropolitan areas of Nigeria as the respondents. A structured questionnaire titled "health professionals' perception on awareness of messaging on COVID-19" was used to collect data from the respondents. The mode of data collection was a questionnaire survey administered online. The findings suggest that health professionals who participated in the survey have a very positive perception of the usefulness and appropriateness, coverage, and impact of the COVID-19 broadcast messages from the Nigerian Centre for Disease Control (NCDC);their responses show that the short messages were sent to Nigerians from different backgrounds and locations to inform the populace about the outbreak of COVID-19, prevention, knowledge about early symptoms, how to reduce the spread of COVID-19 in case of infection and what to do in case of emergency. Additionally, the research outcomes show that SMS broadcast was the leading channel of information dissemination and reception for COVID-19 response as against the traditional channel of information dissemination on radio, TV, and others. These findings have highlighted the importance and value of digital health services such as SMS technology in responding to health emergencies.
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Background: Influenza vaccination coverages among health care students are low. The aim of this study was to find out which measures, according to medical and nursing students, could contribute to improve these vaccination rates.
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Countries around the globe, including India, are making strides to combat maternal and child health issues. To support these efforts, Digital Green implemented Project Samvad, a USAID-funded reproductive, maternal, newborn, and child health (RMNCH) project working across six states in India. The project used a human-mediated community video approach to improve maternal and child health outcomes. In early 2020, due to mobility-related restrictions and norms related to physical distancing resulting from the COVID-19 pandemic, Project Samvad's field activities stalled. This descriptive study highlights the project's pivot to the use of digital tools to reach beneficiaries during the COVID-19 pandemic. The project delivered COVID-19 related information by layering it on the existing RMNCH messages. It used WhatsApp and Interactive Voice Response System to reach out to the community and frontline workers. The content of the messages was locally relevant, culturally appropriate, and addressed the concerns of the local community concerning their immediate needs related to RMNCH and COVID-19. The project recorded a listenership of 85,199 and a content viewership of 283,866 in three months. The initiative also oriented 918 frontline workers virtually on their roles and responsibilities during COVID-19. The insights from the adaptation of our approach in the context of COVID-19 can help project managers and policymakers address communication issues during the pandemic or any other emergency, using digital dissemination for reaching beneficiaries, building the capacities of partners, engaging community members and frontline workers for improved learning, and dealing with process-related challenges.
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Background: Communication about COVID-19 pandemic has a huge impact on coordination, control and mitigation efforts against the disease. Patterns and trends of COVID-19 pandemic conversations amongst African tweeps between the year 2019 and 2020 was studied. This study aimed to determine the impact of Twitter COVID-19 information dissemination on attitudes, behaviour and decision making during the pandemic. Subjects and Method: This was a cohort study with combined quantitative and qualitative approach. This study was conducted in Africa, from December 2019 to December 2020. The quantitative approach was founded on data mining and data analytics research approach, applying measurements in terms of counts, numbers and frequencies while qualitative approach was founded on Natural Language Processing (NPL) algorithm to extract themes/topics and further applying sentiment analysis to a body of large textual data.
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Until a vaccine is widely available, face masks and other nonpharmaceutical interventions (NPIs) will continue to be the frontline defense against Covid-19 in developing countries. But their effectiveness depends critically on compliance by young adults, who are most likely both to become infected and to infect others. We conducted a randomized controlled trial in Bogot.., Colombia, to assess the effectiveness of informational nudges on university students concern about Covid-19, recent compliance with NPI recommendations, and intended future compliance. Although nudges boosted concern, they had limited effects on either recent or intended future compliance. We attribute these null results to high baseline levels of information about and compliance with NPIs an informational diminishing returns scenario that is likely to be increasingly common globally. Nudges were more effective at boosting recent compliance among participants who were politically left-wing, were relatively poor, and lived with more people.
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Primipara are often faced the difficulty and even failure in breastfeeding, the low of lactation management is the main cause. This research aimed to assess the difference in lactation management education media on increasing knowledge, attitude, and practice of lactation management in primipara aged 0-3 months at the Sudiang Raya Public Health Center Makassar City. The research method was a quasi-experimental design with a pre-posttest control group design. The total sample was 60 primiparas who had infants aged 0-3 months (30 intervention groups, 30 control groups). Sampling was done by a simple random sampling. The intervention group used modern media, namely an apllication based on smartphone called MOMASI (Mobile Lactation Management) used for 12 weeks and the control group used a conventional media, leaflets. Data were analyzed using Paired T-test, Independent T-test, Mann Whitney and Chi-Square. The results showed, before education there was no significant difference between the two groups on the average score of knowledge, attitude, and lactation management practice (p= 0.671, 0.910, 0.095;p > 0.000). In the intervention and control groups, there was a significant increase on the average score of knowledge, attitude, and practice of lactation management between before and after the intervention (p=0.000). After education, there was a significant difference between the two groups on the average score of knowledge, attitude, and practice of lactation management (p=0.000). In the difference on the average scores of knowledge, attitude, and practice of lactation management after the intervention, the MOMASI group was better than the Leaflet group. MOMASI and Leaflets can improve knowledge, attitude, and practice of lactation management. However, MOMASI is more efficient and effective in Communication, Information and Education (KIE), especially during the Covid-19 pandemic.
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The COVID 19 has been around us for a while now and so far it is next to impossible to prevent the spread. Considering a reduced number of daily tests for COVID-19, the reported cases have dropped drastically as one has to pay for those tests. While the rest of the world is dealing with how to discover the best possible way to spread it, a new form of COVID has been discovered recently in the Europe and United Kingdom which islikely to spread at a higher rate than that of its predecessor. Based on several data collected via questionnaire a set of guidelines have been developed for individuals. Internet of Things (IoT) can play a vital role in stopping the COVID spread unless its true potentials are realized on time. Using the connected devices physically with each other equipped with internet and sensors gets us the ability o monitor the spread and respond on time having the actual set of data in hand. This research paper consists of focusing area on educational institutes, how the monitoring activity can be put in place, and its technique with a possible architecture of IoT, using which measures for prevention against the covid spread could be adopted. The manuscript underlines the integration patterns of IoT for analytics and prediction of patients using machine learning and Message Queueing Telemetry Transport (MQTT). The presented outcomes are quite effectual and performance aware on the assorted dimensions.
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Background and purpose: Today, the Coronavirus disease 2019 (COVID-19), as a pandemic disease, has a high incidence and mortality rate. The experiences of those who have recovered could be of great benefit in understanding and management of the disease. This study aimed at determining the experiences of patients who have recovered from COVID-19. Materials and methods: A phenomenological study was performed in recovered COVID-19 patients (n=17) in Yavaran Mehdi Convalescent Care Center in Qom, Iran 2020. Purposive sampling was done and continued until data saturation was reached. Semi-structured in-depth interviews were conducted. Data analysis was performed using Colaizzi method and MAXQDA 2018 was used to encode the data.
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Background: In the midst of the current COVID-19 pandemic, the mortality risk being presented by both the media and some public health information providers is often misleading and so increasing the risk of suboptimal policy decisions and lower than desired voluntary compliance rates. Objectives: We make the following contributions.