Knowledge, Attitude and Practice towards COVID-19 prevention among outpatients from a Private Dental Institution - A Pilot study

In order to slow the COVID-19 pandemic's rapid spread and put an end to it, the world needs to take extraordinary action. The knowledge, attitude, and practises (KAP) of outpatients concerning COVID-19 have an impact on the adherence to control measures. As a result, this research serves as a baseline analysis to assess Knowledge, Attitude, and Practice and serve as the foundation for our mitigation efforts. The outpatients were given this self-administrated survey. The ten-item survey was created in a way that allowed for an accurate evaluation of the knowledge, attitude, and practise components. Using SPSS software, the statistical analysis was conducted. The replies from the Google sheet were loaded into SPSS after being exported to Excel. Data were described using frequency and percentages, and chi square analysis was conducted to see whether there was any correlation between the variables. 85 outpatients in total took part in the survey. While 80% of the participants were aware of the life trajectory of Covid-infected individuals and 77.6% of them paid close attention to government directives, the overall level of awareness about COVID-19 and its prevention was rather high. 54.12% of the participants used hand sanitizer and wore masks constantly. The outcomes indicated that the participants had sound knowledge and a positive outlook. To combat this epidemic, media propaganda and instructional video production must continue to be produced and distributed. © 2023 IEEE.

CORONAVIRUS DISEASE 2019 (COVID-19): PUBLIC HEALTH EMERGENCY

An outbreak of a respiratory sickness started in Wuhan, China in December 2019 and the causative agent was found be a novel betacoronovirus of the same subgenus as SARSCoV and named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) quickly spread around the world, with clinical signs ranging from mild respiratory symptoms to severe pneumonia and a fatality rate estimated around 2%. Lower respiratory tract infections can occur in immunocompromised subjects and the elderly persons. Respiratory droplets are the causative agent for the person-to-person spread of the disease resembling the spread of influenza. Individual to individual spread turned into the primary mode of transmission. The transmission of the disease might be more likely in the earlier stage of infection as the viral RNA levels appear to be higher. Accurate diagnosis in the early stages of the epidemic helps control the spread of the disease. [ FROM AUTHOR] Copyright of Indian Drugs is the property of Indian Drug Manufacturers' Association (IDMA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Attitudes of Medical Practitioners towards Collaboration with Dental Professionals during a Pandemic: A Past Experience and a Future alert

Aim: To determine the attitude of medical practitioners towards collaborating with dental professionals during a pandemic. Material(s) and Method(s): The present study is a cross sectional survey conducted among the medical practitioners of India. 2100 medical practitioners were randomly selected as study subjects. The data pertaining to their attitude toward collaboration with dental professionals were gathered using a self-administered questionnaire. Data was analyzed using descriptive studies. Result(s): Among the study subjects, 93% of the medical doctors said in the future if the pandemic occurs then they would feel contended if they were to be given the provision to be aided by a well-trained dental support team, 80% of them said they experienced high stress during the pandemic. When asked to specify the reason in case they have not approached the dentist during the pandemic, 89% said they did not ponder over the thought of taking help from the dentist. Conclusion(s): If a pandemic occurs in the future, the contribution of the dentist can be beyond dentistry provided we adopt and execute proper measures and plan them beforehand.Copyright © 2021 Muslim OT et al.

Healthcare facilities' level of preparedness response on COVID-19 preventive measures in selected regions of Tanzania: A perspective of healthcare workers

Background: After the first patient of COVID-19 was announced by the Ministry of Health in Tanzania from Arusha region, the hottest discussion in the community was the fear on how our health facilities were prepared against the spread of coronavirus disease. Objective and significance: This study aims at assessing healthcare facilities level of preparedness response on preventive measures against COVID-19 in selected regions of Tanzania through the contributions of healthcare workers. This study will add value in building capacity to fight COVID-19 pandemic and possibly any other pandemic of similar significance in the future. Methods: Analytical cross-sectional study design which applied quantitative research strategy was conducted from August to October 2022. A total of 596 healthcare workers were involved in the study from 40 healthcare facilities in Dar es Salaam, Mwanza, Arusha, and Dodoma regions of Tanzania. Descriptive statistics were analyzed by a statistical package SPSS version 26 (IBM Corp., Armonk, NY) giving frequencies, percentages, and significant association between variables. Results: Overall level of preparedness was poor at 52%, only 25% of preventive measures were good prepared and 23% moderately prepared. Availability of hand washing station with soap and water to ensure hand hygiene for healthcare workers was most prepared by 87.1% while designated ambulance facility for transporting patients from isolation area to other COVID-19 referral facilities was less prepared by 30.4% in this study. Conclusion: The preparedness responses was poor in selected regions of Tanzania which cause less capacity to fight against COVID-19 whenever it emerges. © 2020 The author (s).

An Automatic CNN-based Face Mask Detection Algorithm Tested During the COVID-19 Pandemics

The ongoing COVID-19 pandemic has highlighted the importance of wearing face masks as a preventive measure to reduce the spread of the virus. In medical settings, such as hospitals and clinics, healthcare professionals and patients are required to wear surgical masks for infection control. However, the use of masks can hinder facial recognition technology, which is commonly used for identity verification and security purposes. In this paper, we propose a convolutional neural network (CNN) based approach to detect faces covered by surgical masks in medical settings. We evaluated the proposed CNN model on a test set comprising of masked and unmasked faces. The results showed that our model achieved an accuracy of over 96% in detecting masked faces. Furthermore, our model demonstrated robustness to different mask types and fit variations commonly encountered in medical settings. Our approaches reaches state of the art results in terms of accuracy and generalization. © 2022 Copyright for this paper by its authors.

Comparing COVID spread to mask-wearing rates in public transportation using AI detection

The spread of COVID-19 has resulted in several changes worldwide. In particular, border closures and economic stagnation have significantly affected societies. Although the implementation of preventive measures has improved the pandemic scenario in several countries, the effectiveness of vaccines has decreased with the emergence of mutant viruses. With this background, the use of masks is considered the best method for preventing the spread of the virus. Notably, public transportation is closely related to socioeconomic activities, and the spread of infectious diseases is more likely in closed, dense, and congested areas. Moreover, the probability of infection during public transportation also depends on the proportion of commuters wearing masks. Based on the closed-circuit television footage of various public transportation spaces, the number of mask wearers can be analysed using artificial intelligence deep learning, and the probability of COVID-19 spread can be predicted by determining the proportion of mask wearers among the commuters. With this background, in this study, the importance of masks in controlling the spread of the virus is confirmed. In conclusion, appropriate measures can be implemented by determining the probability of infection according to the mask-wearing rate in public transportation spaces. © 2023 ICE Publishing: All rights reserved.

Tropical Conditions and Outbreak of COVID-19

Background: The new novel Coronavirus 2019 (nCOV-19 or COVID-19) has caused an unprecedented pandemic in humans. All nations have heightened their surveillances after the quick diagnosis of potential cases of the COVID-19. Objective(s): Recent statistics have mentioned that virus outbreak in tropical countries is relatively low compared to cold nations. To support this conclusion, we considered the six main tropical regions to investigate the pandemic distribution at the initial phase. Method(s): Chi-square test was applied to understand the correlation between outbreak and temperature changes. Significant probability P-value was set to P<0.01. P-values were calculated to both positive and death cases. Result(s): Out of 1211562 infected cases, 41776 cases (3.45%) were registered at hightemperature countries (P<0.0001) and 1161786 cases (96.55%) at other countries like European countries or the USA. Moreover, only 1433 mortality cases (2.2%) happened, and the remaining 97.8% of mortality happened among other nations. Conclusion(s): Similar to other respiratory viruses like flu and influenza, there is a low outbreak of COVID-19 in tropical nations compared to the other countries. Apart from weather conditions, it is also recommended to follow the serious preventive measures imposed by governments to survive this novel epidemic.Copyright © 2020

A Deep Learning-Based Preventive Measures of COVID-19 in a crowd using Reinforcement Model over GAN for Enhanced efficiency

The fast human-to-human spread of COVID-19 has caused significant lifestyle changes for many individuals. At the end of January 2020, the pandemic began, and many nations responded with varying degrees of testing, sanitation, lockdown, and quarantine centers. New normals of testing, sanitization, social separation, and lockdown are being implemented, and people are gradually returning to work and other daily routines. The COVID-19 infected population is monitored by testing individuals regularly. But it's a resource-heavy endeavor to test everyone without good reason. An optimum strategy is required to efficiently identify persons who are most likely to test positive for COVID-19. Sanitation is utilized for both persons and public spaces to eliminate germs. However, the disruption of governmental operations and economic development makes the use of lockdown and quarantine centers a resource-intensive endeavor. Conversely, it degrades the standard of living across a society. Furthermore, keeping people inside their houses or quarantine centers for an unlimited amount of time would not allow the government to care for everyone. These variables impact virus propagation, human health and happiness, available resources, and the economy's health, making their management resource-intensive. counting and density estimation are both attempts to create clever and efficient algorithms that can interpret the data provided by images to carry out Efficiency. GANs have been proven to have promising applications in overcoming the data dearth problem in COVID-19 lung image analysis. The Convolutional Neural Network (CNN) models built for the diagnosis of COVID-19 have benefited from the GAN-generated data used to refine their training. Moreover, GANs have helped improve the performance of CNNs by super-resolving pictures and performing segmentation. This work highlights the Reinforcement deep learning model over the fundamental constraints of the possible transformation of GANs-based approaches. This work proposes the model be developed with a new intelligent approach using RL to quantify these different types of testing considered for social distancing, face mask detection, limiting the gathering, and locking the location using the Q Learning technique. Different RL algorithms are implemented, and agents are equipped with these algorithms so that they may interact with the environment and learn the optimum method for doing so. © 2023 IEEE.

Knowledge, Attitude, Practice and Preparedness toward COVID-19 Pandemic among Healthcare Workers in Designated COVID Hospitals of a North-Eastern State of India.

The knowledge, attitude, and practice (KAP) of healthcare workers (HCW) toward the COVID-19 pandemic influence their preparedness to accept the preventative measures. This study investigates KAP toward COVID-19 among the HCWs working in two designated COVID hospitals. It was a cross-sectional study. The overall KAP scores were calculated, and the difference in mean scores among various demographic and other variables was tested using t-test and one-way ANOVA. The participants were knowledgeable about transmission modes and disease symptoms and were aware of the preventive measures like hand sanitisations for 96% and 91% for wearing masks. Among the knowledgeable group, 87% were aware of the control measures of COVID-19 infection like isolation and treatment of the infected; quarantine of their close contacts; and 92% had the acquaintance about the avoidance of public transport and crowded places as a safety measure. The HCWs also showed a positive attitude toward keeping distance and staying at home (81.13% strongly agreed) and regularly washing hands (agreed 91%). The mean knowledge, attitude, and practice scores of the study participants were 19.67(±1.85), 27.95(1.81) and 4.61(0.51), respectively. Nurses were found to have significantly better knowledge, attitude, and practice toward COVID-19 than laboratory technicians and pharmacists. HCWs having higher education levels were also found to have better knowledge about COVID-19. The majority of the HCWs who participated in the study also strongly agreed that the referred hospitals are well prepared for infection prevention and control (IPC). Better knowledge, attitude and practices toward COVID-19 may considerably decrease the risk of getting the disease.

Differences in adoption of COVID-19 pandemic related preventive behaviour by viral load suppression status among people living with HIV during the first wave of the pandemic.

BACKGROUND: Adherence to antiretroviral therapy and COVID-19 preventive behaviours among people living with HIV during the pandemic has received little attention in the literature. To address this gap in knowledge, the present study assessed the associations between viral load, adherence to antiretroviral therapy and the use of COVID-19 prevention strategies during the first wave of the COVID-19 pandemic. This was a secondary analysis of data generated through an online survey recruiting participants from 152 countries. Complete data from 680 respondents living with HIV were extracted for this analysis. RESULTS: The findings suggest that detectable viral load was associated with lower odds of wearing facemasks (AOR: 0.44; 95% CI:0.28-0.69; p < 0.01) and washing hands as often as recommended (AOR: 0.64; 95% CI: 0.42-0.97; p = 0.03). Also, adherence to the use of antiretroviral drugs was associated with lower odds of working remotely (AOR: 0.60; 95% CI: 0.38-0.94; p = 0.02). We found a complex relationship between HIV positive status biological parameters and adherence to COVID-19 preventive measures that may be partly explained by risk-taking behaviours. Further studies are needed to understand the reasons for the study findings.

A cross-sectional study of knowledge, attitude, behaviour and preventive measures for COVID-19 infection in Lebanon.

Background: The World Health Organization has often reiterated its recommendations for the prevention of COVID-19, however, the success of these measures largely depends on public knowledge and attitudes. Aims: This study assessed the relationship between knowledge, attitude, behaviour and preventive measures for COVID-19 infection in a Lebanese population. Methods: This cross-sectional study was conducted between September and October 2020 using the snowball sampling technique and an online self-administered questionnaire. The questionnaire had 4 parts targeting sociodemographic characteristics; medical history; knowledge, attitude and practices (preventive measures and behaviours related to COVID-19); and mental health variables such as psychological distress. Two models were derived using multivariable binomial logistic regression to optimize the picture of COVID-19 correlates. Results: Our sample comprised 1119 adults. Being older, female, a regular alcohol consumer, waterpipe smoker, having low level of education, low family income, and having contact with a COVID-19 patient correlated with increased odds of ever having been diagnosed with COVID-19. Participants who had ever been diagnosed with COVID-19 had a significantly better knowledge and a higher risky practice scale [adjusted odds ratio (ORa) = 1.49; 95% CI 1.27-1.74; P < 0.001; and ORa = 1.04; 95% CI 1.01-1.08; P = 0.024, respectively]. Conclusion: The most important predictors of COVID-19 infection appear to be generally well-known among the general population, however, their knowledge and adherence to preventive measures should be continuously re-evaluated. This study highlights the need for greater awareness to improve precautionary behaviours among the public.

Factors Associated With COVID-19 Non-Vaccination in Switzerland: A Nationwide Study.

Objectives: We compared socio-demographic characteristics, health-related variables, vaccination-related beliefs and attitudes, vaccination acceptance, and personality traits of individuals who vaccinated against COVID-19 and who did not vaccinate by December 2021. Methods: This cross-sectional study used data of 10,642 adult participants from the Corona Immunitas eCohort, an age-stratified random sample of the population of several cantons in Switzerland. We used multivariable logistic regression models to explore associations of vaccination status with socio-demographic, health, and behavioral factors. Results: Non-vaccinated individuals represented 12.4% of the sample. Compared to vaccinated individuals, non-vaccinated individuals were more likely to be younger, healthier, employed, have lower income, not worried about their health, have previously tested positive for SARS-CoV-2 infection, express lower vaccination acceptance, and/or report higher conscientiousness. Among non-vaccinated individuals, 19.9% and 21.3% had low confidence in the safety and effectiveness of SARS-CoV-2 vaccine, respectively. However, 29.1% and 26.7% of individuals with concerns about vaccine effectiveness and side effects at baseline, respectively vaccinated during the study period. Conclusion: In addition to known socio-demographic and health-related factors, non-vaccination was associated with concerns regarding vaccine safety and effectiveness.

Risk perception, knowledge about SARS-CoV-2, and perception towards preventive measures in Italy: a nationwide cross-sectional study.

Introduction: After COVID-19 outbreak, governments adopted several containment measures. Risk perception and knowledge may play a crucial role since they can affect compliance with preventive measures. This study aimed to explore the extent and the associated factors of risk perception, knowledge regarding SARS-CoV2, and perception towards preventive measures among the Italian population. Methods: A nationwide cross-sectional study involving adults was conducted in April-May 2021: an online survey was distributed through social media. The outcomes were: Knowledge Score (KS) (0 to 100%: higher scores correspond to higher COVID-19 related knowledge); Risk Perception Score (RPS) (1 to 4: higher values indicate higher concern); Preventive measures Perception Score (PPS) (1 to 4: higher values indicate higher confidence). Multivariable regression models were performed. Results: A total of 1120 participants were included. Median KS was 79.5% (IQR = 72.7%-86.4%). Lower education and poor economic conditions were negatively associated with the KS. Median RPS was 2.8 (IQR = 2.4-3.2). Female gender, sharing house with a fragile person, suffering from a chronic disease, having a family member/close friend who contracted SARS-CoV-2 infection were positively associated with the RPS. Median PPS was 3.1 (IQR = 2.8-3.4). Lower educational level was negatively associated with the PPS. Vaccine hesitancy was negatively associated with all three outcomes. The three scores were positively associated with each other. Conclusions: Fair levels of knowledge, risk perception and perception towards preventive measures were reported. Reciprocal relationships between the outcomes and a relevant relationship with vaccine hesitancy were highlighted. Further investigations should be focused on studying underlying determinants and consequences.

Features of sanitary and anti-epidemic (preventive) measures among the personnel of camp training events in military educational organizations in the context of the spread of the new COVID-19 coronavirus infection

The experience of medical maintenance for assembly events annually held on the basis of the educational process of the Military Medical Academy named after S.M. Kirov. The main directions of the organization of sanitary and anti-epidemic (preventive) measures among the personnel at each stage of the camp gathering have been determined. It is shown that at the preparatory stage it is advisable to develop additional plans that concretize sanitary and anti-epidemic (preventive) measures for the stages of the camp gathering. At the stage of accepting participants, the main direction is the organization of events that prevent the introduction of infection with the arriving personnel. At the main stage of the camp training, the leading role belongs to disinfection measures. At the stage of departure of participants, the main efforts should be focused on minimizing the potential risk of infection along the route and the introduction of infection into their military units. The features of disinfection are described depending on the type of object being processed. The results of testing a designed device for fixing dispensers with a skin antiseptic on the basis of a unified military stand in a camp gathering are presented. The features of the organization of medical control over the material and household provision of the personnel of the training camp are stated. The basic principles of prophylaxis and anti-epidemic protection during assembly activities in the context of the spread of COVID-19 have been formulated. © 2019 Eco-Vector LLC. All rights reserved.

A study to assess associated risk factors to the Knowledge, Attitude and Practice regarding Corona Pandemic among the Rural Population of Gwalior

Introduction: The community understands, practice and attitude of COVID-19 had an impact on their adherence to preventive actions. This study looked on the community knowledge, attitudes, and practises regarding COVID-19 during the pandemic in rural area of Gwalior District in Madhya Pradesh. Material Methods: This was a cross sectional study conducted in rural area of Gwalior among 500 Participants. Percentage, Proportion was calculated, Chi square test was applied. Binary logistic regression was applied. Risk Ratio (OR) and Adjusted Odds Ratio (AOR) with their 95% CI was calculated . A p-value of less than 0.05 was considered statistically significant at 95% confidence level. Statistical analysis of the data was carried out using SPSS Windows version 16.0. Result: In the present study 343(68%) Participant had good knowledge of every aspect of Covid-19 Pandemic. The participants who belonged to Joint family were having Excellent Knowledge. The Age group (25-45) years (AOR: 8.77), OBC Caste Category (AOR: 1.11), Nuclear Family (AOR:1.82) were emerged as significant risk for Poor Knowledge. In the present study 431(86%) participants were having Good Attitude. The Age group (25-45) years had less risk for poor attitude (AOR- 0.24);SC/ST Category were found to had less risk for Poor Attitude (AOR-0.14). The Participants who were involved in Agriculture (AOR-0.15) and Labourer (AOR- 0.23) were at Low Risk for Poor Attitude & Nuclear Family were at less risk for Poor Attitude (AOR- 0.42). While 446(89%) Participants were having Good Practice. The participant which belonged to Hindu Religion, SC/ST category and Joint family were having good practices Farmers and literate participant also had good practice Conclusion: This was the first investigation of KAP's role in the COVID-19 outbreak among rural population of Gwalior. According to this study research, Age Group (25-45) years, Joint Family had a strong understanding of COVID-19 and Males, SC/ST category participants and Nuclear family, had favourable attitude and Practice about it. [ FROM AUTHOR] Copyright of Journal of Cardiovascular Disease Research (Journal of Cardiovascular Disease Research) is the property of Journal of Cardiovascular Disease Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Exposure to risk communication, compliance with preventive measures and information-sharing behavior among students during the COVID-19 pandemic

PurposeDuring the coronavirus disease 2019 (COVID-19) pandemic, public health risk communication has been a vital work. Students account for a large proportion of the population and are often highly mobile;thus, they face a high risk of contagion and spreading the disease. Therefore, risk communication to this group during the pandemic has been essential. This research examines the relationship between risk communication to students and their appropriate behaviors (compliance with COVID-19 preventive measures and COVID-19 information sharing).Design/methodology/approachThis research used structural equation model (SEM) and generalized structural equation model (GSEM) to analyze the data collected from students during the COVID-19 pandemic.FindingsThe findings revealed that risk communication in mass media was positively associated with students' compliance with preventive measures and sharing pandemic-related information. Additionally, their compliance behavior was positively associated with their information-sharing behavior.Practical implicationsThis research offers some implications regarding the containment of a highly-infectious virus, especially for the context when the risk of outbreak is high and an effective vaccine is not available, by focusing on risk communication and compliance and information-sharing behaviors.Originality/valueThis research is one of the early attempts to examine the risk communication to students, their compliance with preventive measures and their information-sharing behavior during a pandemic.

Who wears the face mask? Preventive measures against COVID-19 in Latin America before vaccination.

OBJECTIVES: We analyze the profile of adults who used a mask in the context of the COVID-19 pandemic in Latin America, between October and November 2020, right before the mass vaccination campaigns. STUDY DESIGN: Based on the Latinobarometer 2020 data, we assess the individual, regional, cultural and political factors of people who used a mask in the context of the COVID-19 pandemic in 18 countries of Latin America. METHODS: We applied a logistic regression to model the probability of using the mask regularly to avoid being infected with the COVID-19 virus. RESULTS: Women, older people, those with higher education, those being employed and not working in temporarily jobs, retirees, students, people with a centrist political ideology, and Catholics had a higher chance of using a face mask on a regular basis. People living in Venezuela, Chile, Costa Rica and Brazil were the most likely to use face masks. CONCLUSION: These results highlight the need to understand the social forces behind the willingness to adopt non-pharmacological preventive measures to make them more effective in health crisis emergencies.

Challenges of COVID-19 prevention during protracted conflicts: differential adherence to preventive measures in "contact line" regions in eastern Ukraine.

Objectives: Despite the epidemiological importance of social vulnerabilities in compliance with preventive measures, little is known about the disproportional nature of preventive behaviors in crisis-affected populations. We examined adherence to COVID-19 preventive behaviors, focusing on social distancing measures in the conflict-affected regions in eastern Ukraine. Methods: From a multisectoral needs assessment conducted in 2020 using a household interview of a stratified simple random sample, we included 1,617 rural and urban households located in the government-controlled area. We performed multivariable binary logistic regression analysis with latent class analysis (LCA) to identify unmeasured patterns of classification of preventive measures using data from a cross-sectional survey. Results: The conflict-affected populations showed difficulty in complying with COVID-19 preventive measures due to losses of housing, partners, and access to food resources due to conflicts. Among the various preventive measures, wearing a face mask (88.1%) and washing hands more regularly (71.4%) were the most frequently reported. Compliance with social distancing was significantly lower in those who experienced the direct impacts of conflicts indicated by damaged accommodation or being widowed. Three different groups who showed distinctive patterns of employing COVID-19 preventive measures were identified via the LCA model, which were "highly complying group", "moderately complying group", and "face masks only group". The group membership was associated with a respondent's poverty status. Conclusion: The findings show the difficulty in compliance with COVID-19 preventive measures among conflict-affected populations indicating secondary impacts of the conflicts on preventive health behaviors. To mitigate the health impacts of conflicts, immediate attention is needed to address barriers to COVID-19 preventive measures among conflict-affected populations in Ukraine. This study suggests the need for public health strategies to improve preventive health behaviors in conflict-affected populations under pandemics or large-scale outbreaks.

INSIGHT OF PANDEMIC COVID-19: DEVELOPMENTS AND CHALLENGES

This review focuses on the characteristics of coronavirus disease-19 (COVID-19) including virus structure, ecoepidemiology and pathophysiology, signs and symptoms in infected people, and data on virus pathogenicity, severity, and survivability in COVID-19 infected patients. The emphasis is on immunological reactions, diagnosis, prophylactic methods, and the zoonotic significance of COVID-19. The authors feel that the review's contents will be valuable to epidemiologists, virologists, public health officials, diagnosticians, laboratory workers, environmentalists, and socioeconomic experts. It has information on the many types of coronavirus variants, the disease situation in Pakistan and the WHO criteria for COVID-19 prevention is given. Moreover, lessons learned from the COVID-19 pandemic are also outlined.

Comprehensive sentimental analysis of tweets towards COVID-19 in Pakistan: a study on governmental preventive measures.

Sentiments are the key factors that lead to influence our behavior. Sentiment analysis is a technique that analyzes people's behaviors, attitudes, and emotions toward a service, product, topic, or event. Since 2020, no country has remained untouched by COVID-19, and the governing bodies of most countries have been applying several anti-pandemic countermeasures to combat it. In this regard, it becomes tremendously important to analyze people's sentiments when tackling infectious diseases similar to COVID-19. The countermeasures taken by any country to control the pandemic leave a direct and crucial impact on each sector of public life, and every individual reacts to them differently. It is necessary to consider these reactions to implement appropriate messaging and decisive policies. Pakistan has done enough to control this virus's spread like every other country. This research aims to perform a sentimental analysis on the famous microblogging social platform, Twitter, to get insights into public sentiments and the attitudes displayed towards the precautionary steps taken by the Government of Pakistan in the years 2020 and 2021. These steps or countermeasures include the closure of educational institutes, suspension of flight operations, lockdown of business activities, enforcement of several standard operating procedures (SOPs), and the commencement of the vaccination program. We implemented four approaches for the analysis, including the Valence Aware Dictionary and sEntiment Reasoner (VADER), TextBlob, Flair, and Bidirectional Encoder Representations from Transformers (BERT). The first two techniques are lexicon-based. Flair is a pre-trained embedding-based approach, whereas BERT is a transformer-based model. BERT was fine-tuned and trained on a labeled dataset, achieving a validation accuracy of 92%. We observed that the polarity score kept varying from month to month in both years for all countermeasures. This score was analyzed with real-time events occurring in the country, which helped understand the public's sentiment and led to the possible formation of a notable conclusion. All implemented approaches showed independent performances. However, we noticed from the classification results of both TextBlob and the fine-tuned BERT model that neutral sentiment was dominant in the data, followed by positive sentiment.