Praveen SV
@xime.org
Assistant Professor/Management
Scopus Publications
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Scopus Publications
Praveen SV and Vijaya S
Elsevier BV
S. V. Praveen and S. Vijaya
Springer Science and Business Media LLC
Praveen SV and Pranshav Gajjar
Elsevier BV
S.V. Praveen and S. Vijaya
Elsevier BV
S. V. Praveen and Vajratiya Vajrobol
Springer Science and Business Media LLC
S.V. Praveen and R. Deepika
Elsevier BV
S. V. Praveen and Vajratiya Vajrobol
Springer Science and Business Media LLC
SV Praveen and Radhika Lohia
Elsevier BV
Praveen SV, Dharun Kasilingam, Radhika Lohia, Riddhi Bhatia, Chiranjib Chakraborty, Sirwan Khalid Ahmed, and Kuldeep Dhama
Elsevier BV
Rabab G. A. El‐Kader, Rekha J. Ogale, Omar Omar Zidan, Omar Al Jadaan, Vijaya Kumardhas, Sirwan K. Ahmed, Kuldeep Dhama, Praveen SV, and Mohammad Ebad Ur Rehman
Wiley
AbstractBackground and AimStudents sometimes participate in harmful activities that adversely influence their behaviors and well‐being throughout college, which is one of the sensitive phases in an individual's life. Aim: To assess the health‐related behaviors of university students.MethodsA cross‐sectional study that includes systematic randomly selected 383 students from various colleges of Ras Al Khaimah Medical and Health Sciences University (RAKMHSU), Ras Al Khaimah Emirate, United Arab Emirates. A self‐reported questionnaire included students' demographic traits and behaviors, including safety, medication intake, cigarette smoking, nutrition, physical activity, and health‐related topics.ResultsMost participants were females (69.7%), 13.3% were obese while 28.2% were overweight. The data revealed a significant difference between male and female students regarding medication intake without prescription, nutrition, physical activity, and health‐related topics. The data also revealed that the majority of the students were attempting to lose weight, and the former male smokers had fewer trials to quit the use of all tobacco products than females.ConclusionMore than a quarter of participants were overweight, and the majority of students did not adhere to the guidelines for safety and nutritious eating. This study recognized significant health promotion opportunities for university students that can be carried out to establish a healthier youth for society.
S.V. Praveen, Rosemol Boby, Roshan Shaji, Deepak Chandran, Nawfal R. Hussein, Sirwan Khalid Ahmed, Shopnil Akash, and Kuldeep Dhama
Journal of Pure and Applied Microbiology
Concerns about an increase in cases during the COVID-19 pandemic have been heightened by the emergence of a new Omicron subvariant XBB.1.5 that joined the previously reported BF.7 as a source of public health concern. COVID-19 cases have been on the rise intermittently throughout the ongoing pandemic, likely because of the continuous introduction of SARS-CoV-2 subtypes. The present study analyzed the Indian citizen’s perceptions of the latest covid variants XBB.1.5 and BF.7 using the natural language processing technique, especially topic modeling and sentiment analysis. The tweets posted by Indian citizens regarding this issue were analyzed and used for this study. Government authorities, policymakers, and healthcare officials will be better able to implement the necessary policy effectively to tackle the XBB 1.5 and BF.7 crises if they are aware of the people’s sentiments and concerns about the crisis. A total of 8,54,312 tweets have been used for this study. Our sentiment analysis study has revealed that out of those 8,54,312 tweets, the highest number of tweets (n = 3,19,512 tweets (37.3%)) about COVID variants XBB.1.5 and BF.7 had neutral sentiments, 3,16,951 tweets (37.1%) showed positive sentiments and 2,17,849 tweets (25.4%) had negative sentiments. Fear of the future and concerns about the immunity of the vaccines are of prime concerns to tackle the ongoing pandemic.
S.V. Praveen, R. Sundar, Vajratiya Vajrobol, Rajesh Ittamalla, K. Srividya, Ramadan Abdelmoez Farahat, Hitesh Chopra, Mohammad Ebad Ur Rehman, Chiranjib Chakraborty, and Kuldeep Dhama
Journal of Pure and Applied Microbiology
Individuals with comorbidities (i.e., Diabetes Mellitus, hypertension, heart diseases) are more likely to develop a more severe form of coronavirus disease 2019 (COVID-19), thus, they should take necessary precautions to avoid infection with severe acute respiratory syndrome coronavirus–2 (SARS-CoV-2) and its emerging variants and subvariants by getting COVID-19 vaccination and booster doses. In this regard, we used text analytics techniques, specifically Natural Language Processing (NLP), to understand the perception of Twitter users having comorbidities (diabetes, hypertension, and heart diseases) towards the COVID-19 vaccine booster doses. Understanding and identifying Twitter users’ perceptions and perspectives will help the members of medical fraternities, governments, and policymakers to frame and implement a suitable public health policy for promoting the uptake of booster shots by such vulnerable people. A total of 176,540 tweets were identified through the scrapping process to understand the perception of individuals with the mentioned comorbidities regarding the COVID-19 booster dose. From sentiment analysis, it was revealed that 57.6% out of 176,540 tweets expressed negative sentiments about the COVID-19 vaccine booster doses. The reasons for negative expressions have been found using the topic modeling approach (i.e., risk factors, fear of myocardial fibrosis, stroke, or death, and using vaccines as bio-weapons). Of note, enhancing the COVID-19 vaccination drive by administering its booster doses to more and more people is of paramount importance for rendering higher protective immunity under the current threats of recently emerging newer Omicron subvariants which are presently causing a rise in cases in a few countries, such as China and others, and might lead to a feasible new wave of the pandemic with the surge in cases at the global level.
Nelson Navamniraj K, Sivasabari K, Ankitha Indu J, Deepika Krishnan, Anjali M R, Akhil P R, Pran M, Firzan Nainu, Praveen S V, Prachi Singh,et al.
Journal of Experimental Biology and Agricultural Sciences
Goats provide an essential food supply in the form of milk and meat. Goat milk has distinct qualities, but it shares many similarities with human and bovine milk regarding its nutritional and therapeutic benefits. Because of their different compositions, goat and cow milk products could have different tastes, nutrients, and medicinal effects. Modification in composition aid of goat milk determining the viability of goat milk processing methods. Comparatively, goat's milk has higher calcium, magnesium, and phosphorus levels than cow's or human milk but lower vitamin D, B12, and folate levels. Goat milk is safe and healthy for infants, the old, and healing ailments. Capric, caprylic, and capric acid are three fatty acids that have shown promise as potential treatments for various medical issues. Considering the benefits and drawbacks of goat milk over cow milk is essential; goat milk is more digestible, has unique alkalinity, has a better buffering capacity, and has certain medicinal benefits. Acidifying goat milk shrinks fat globules and makes protein friable (with less αs1-casein and more αs2-casein). Goat milk treats malabsorption illnesses because it has more short- and medium-chain triglycerides that give developing children energy. In wealthy countries, goat milk and its products—yoghurt, cheeses, and powdered goods—are popular with connoisseurs and persons with allergies and gastrointestinal issues who need alternative dairy products. A food product category containing fermented goat milk with live probiotic microbes appears promising nutritionally and medicinally. This article presents anecdotal evidence of the therapeutic effects of consuming goat milk for human health and its nutritional value.
Praveen SV, Pooja Upasana Bhanj, Paras Jha, Deepak Chandran, Prachi Singh, Sandip Chakraborty, Abhijit Dey, and Kuldeep Dhama
Journal of Experimental Biology and Agricultural Sciences
Most, if not all, the vaccine candidates designed to counteract COVID-19 due to SARS-CoV-2 infection require parenteral administration. Mucosal immunity established by vaccination could significantly contribute to containing the SARS-CoV-2 pandemic, which is spread by infected respiratory secretions. The world has been impacted on many fronts by the COVID-19 pandemic since early 2020 and has yet to recover entirely from the impact of the crisis. In late 2022 and early 2023, China experienced a new surge of COVID-19 outbreaks, mainly in the country's northeastern region. With the threat of new variants like XBB 1.5 and BF.7, India might experience a similar COVID-19 surge as China and needs to be prepared to avoid destruction again. An intranasal vaccine can elicit multiple immunological responses, including IgG neutralization, mucosal IgA production, and T-cell responses. In order to prevent further infection and the spread of COVID-19, local immune responses in the nasal mucosa are required. iNCOVACC is a recombinant vaccine vectored by an adenovirus that contains a SARS-CoV-2 spike protein that has been pre-fusion stabilized. This vaccine candidate has shown promise in both early and late-stage clinical trials. iNCOVACC has been designed for intranasal administration via nasal drops. The nasal delivery system was created to reduce expenses for those living in poor and moderate-income countries. The newly introduced intranasal COVID vaccine will be beneficial in mass immunizing the public as it does not need any syringe and can be proven to be an effective method to boost immunity against the SARS-CoV-2 virus. This study uses natural language processing (NLP) techniques to analyze the Indian citizen's perceptions of the newly developed iNCOVACC vaccine in social media. For this study, we have used social media posts (tweets) as data. We have analyzed 125,300 tweets to study the general perception of Indian citizens regarding the iNCOVACC vaccine. Our results have indicated 43.19% of social media posts discussing the COVID-19 nasal vaccine in a neutral tone, nearly 34.29% of social media posts are positive, and 22.5% of social media posts discussions are negative. The general positive feeling that the iNCOVACC vaccine will work and the risks in the new vaccine are the two significant aspects Indian citizens voice out in social media posts about the iNCOVACC vaccine.
Saketh Maddineni, Gerard Deepak, and S. V. Praveen
Springer Nature Singapore
Sirwan Khalid Ahmed, Deepak Chandran, Safin Hussein, Praveen SV, Sandip Chakraborty, Md. Rabiul Islam, and Kuldeep Dhama
SAGE Publications
A 7.8-magnitude earthquake in Turkey and Syria, followed by a 7.6-magnitude earthquake, caused over 50 000 deaths and over 100 000 injuries. The immediate physical injuries were severe, but the health repercussions, including the strain on healthcare services and the possibility of disease outbreaks, were equally concerning. Infections due to multidrug resistant microbes were also a matter of concern. Earthquake has caused not only loss of property and physical damage but also has a great negative impact on the mental health of the people. It is associated with serious psychological trauma. Moreover, the risk of malnutrition also became evident. Food aid and nutritional supplements can reduce the risk of malnutrition, but they are not a long-term solution. Establishment of sustainable food systems and restoration of agricultural productions are essential. Other demanding issues like derth of access to essential services related to health care, chances of child birth related complications following earthquake also need to be addressed. Emerging crises and disasters (conflicts, pandemics, epidemics), in addition to pre-existing conditions (collapsed health facilities, cold winter conditions, destruction of lifeline infrastructures, overcrowding in emergency shelters, poor sanitation, and unfavorable socio-economic conditions), may further exacerbate the already precarious public health situation and significantly delay the recovery process. The early warning and protection against the development of infectious diseases in earthquake-affected areas depend on good disease surveillance at the local and regional levels, which has been proposed as one of several techniques for prevention and management of infectious diseases in these areas. Our article outlines high-level approaches to reduce the risk of health issues among victims of Turkey and Syria.
Praveen SV, Rajesh Ittamalla, Mukka Mahitha, and Kokilavayamatham Spoorthi
Informa UK Limited
Praveen S. V., Rajesh Ittamalla, Manju Mahipalan, Mukka Mahitha, and Deekshitha Hima Priya
Informa UK Limited
Kuldeep Dhama, Deepak Chandran, Hitesh Chopra, Md. Aminul Islam, Talha Bin Emran, Mohammad Ebad Ur Rehman, Abhijit Dey, Ranjan K. Mohapatra, Praveen SV, Pran Mohankumar,et al.
Journal of Experimental Biology and Agricultural Sciences
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron versions have been the sole one circulating for quite some time. Subvariants BA.1, BA.2, BA.3, BA.4, and BA.5 of the Omicron emerged over time and through mutation, with BA.1 responsible for the most severe global pandemic between December 2021 and January 2022. Other Omicron subvariants such as BQ.1, BQ.1.1, BA.4.6, BF.7, BA.2.75.2, XBB.1 appeared recently and could cause a new wave of increased cases amid the ongoing COVID-19 pandemic. There is evidence that certain Omicron subvariants have increased transmissibility, extra spike mutations, and ability to overcome protective effects of COVID-19 neutralizing antibodies through immunological evasion. In recent months, the Omicron BF.7 subvariant has been in the news due to its spread in China and a small number of other countries, raising concerns about a possible rebound in COVID-19 cases. More recently, the Omicron XBB.1.5 subvariant has captured international attention due to an increase in cases in the United States. As a highly transmissible sublineage of Omicron BA.5, as well as having a shorter incubation time and the potential to reinfect or infect immune population, BF.7 has stronger infection ability. It appears that the regional immunological landscape is affected by the amount and timing of previous Omicron waves, as well as the COVID-19 vaccination coverage, which in turn determines whether the increased immune escape of BF.7 and XBB.1.5 subvariants is sufficient to drive new infection waves. Expanding our understanding of the transmission and efficacy of vaccines, immunotherapeutics, and antiviral drugs against newly emerging Omicron subvariants and lineages, as well as bolstering genomic facilities for tracking their spread and maintaining a constant vigilance, and shedding more light on their evolution and mutational events, would help in the development of effective mitigation strategies. Importantly, reducing the occurrence of mutations and recombination in the virus can be aided by bolstering One health approach and emphasizing its significance in combating zoonosis and reversal zoonosis linked with COVID-19. This article provides a brief overview on Omicron variant, its recently emerging lineages and subvairants with a special focus on BF.7 and XBB.1.5 as much more infectious and highly transmissible variations that may once again threaten a sharp increase in COVID-19 cases globally amid the currently ongoing pandemic, along with presenting salient mitigation measures.
Praveen S.V., Rajesh Ittamalla, and Dhilip Subramanian
Emerald
Purpose Despite numerous positive aspects of digital contact tracing, the implied nature of contact tracing is still viewed with skepticism. Those in favor of contact tracing often undermine various risks involved with it, while those against it often undermine its positive benefits. However, unless the government and the app makers can convince a significant section of the population to use digital contact apps, desired results cannot be achieved. This study aims to focus on analyzing the perception of citizens belonging to developing countries about digital contact tracing. Design/methodology/approach For this study, data were collected from Twitter. Tweets containing hashtag and the word “contact tracing” were crawled using Python library Tweepy. Tweets across the top five developing countries (India, Brazil, South Africa, Argentina and Columbia) with high COVID-19 cases were collected for this study. After eliminating tweets of other languages, we selected 50,000 unique English tweets for this study. Using the machine learning algorithm, we have detected the sentiment of all the tweets belonging to each country. Structural topic modeling was performed for the tweets to understand the concerns shared by citizens of the developing countries about digital contact tracing. Findings The study was conducted in two parts. Study 1 results show that Indians and Brazilians citizens record more negative sentiments toward “digital contact tracing” than other major developing countries. Surprisingly, the citizens of India and Brazil also records more positive sentiments about contact tracing. This shows the polarized nature of the population of both countries while dealing with digital contact tracing. Overall, only 33.3% of total tweets were positively related to contact tracing, while 53.7% of the total tweets were neutral. Study 2 results show that factors such as the reliability of the contact tracing apps, contact tracing may lead to unnecessary panic, invasion of privacy and data misuse as the prominent reasons why the citizens of the five countries feel pessimistic about contact tracing. Originality/value After the COVID-19 strikes, numerous studies were conducted to analyze and suggest the best possible way of implementing digital contact tracing to curb COVID. However, only a handful of studies were conducted examining how the general public perceives the concept of digital contact tracing, especially pertaining to developing countries. This study fills that gap.
Praveen S.V., Rajesh Ittamalla, and Dhilip Subramanian
Emerald
Purpose The word “digital contact tracing” is often met with different reactions: the reaction that passionately supports it, the reaction that neither supports nor oppose and the one that vehemently opposes it. Those who support the notion of digital contact tracing vouch for its effectiveness and how the complicated process can be made simpler by implementing digital contact tracing, and those who oppose it often criticize the imminent threats it possesses. However, without earning the support of a large population, it would be difficult for any government to implement digital contact tracing to perfection. The purpose of this paper is to analyze, using machine learning, how different continents have different sentiments over digital contact tracing being used as a measure to curb COVID-19. Design/methodology/approach For the analysis, data were collected from Twitter. Tweets that contain the hashtag and the word “digital contact tracing” were crawled using Python library Tweepy. Tweets across countries of four continents were collected from March 2020 to August 2020. In total, 70,212 tweets were used for this study. Using the machine learning algorithm, the authors detected the sentiment of all the tweets belonging to each continent. Structural topic modeling was used to understand the overall significant issues people voice out by global citizens while sharing their opinions on digital contact tracing. Findings This study was conducted in two parts. Study one results show that North American and European citizens share more negative sentiments toward “digital contact tracing.” The citizens of the Asian and South American continent mostly share neutral sentiments regarding the digital contact tracing. Overall, only 33% of total tweets were positively related to contact tracing, whereas 52% of the total tweets were neutral. Study two results show that factors such as fear of government using contact tracing to spy on its people, the feeling of being unsafe and contact tracing being used to promote an agenda were the three major issues concerning the overall general public. Originality/value Despite numerous studies being conducted about how to implement the contact tracing efficiently, minimal studies were done to explore the possibility and challenges in implementing it. This study fills the gap.
Praveen S.V. and Rajesh Ittamalla
Emerald
Purpose Governments worldwide are taking various measures to prevent the spreading of COVID virus. One such effort is digital contact tracing. However, the aspect of digital contact tracing was met with criticism, as many critics view this as an attempt of the government to control people and a fundamental breach of privacy. Using machine learning techniques, this study aims to deal with understanding the general public’s emotions toward contact tracing and determining whether there is a change in the attitude of the general public toward digital contact tracing in various months of crises. This study also analyzes the significant concerns voiced out by the general public regarding digital contact tracing. Design/methodology/approach For the analysis, data were collected from Reddit. Reddit posts discussing the digital contact tracing during COVID-19 crises were collected from February 2020 to July 2020. A total of 5,025 original Reddit posts were used for this study. Natural language processing, which is a part of machine learning, was used for this study to understand the sentiments of the general public about contact tracing. Latent Dirichlet allocation was used to understand the significant issues voiced out by the general public while discussing contact tracing. Findings This study was conducted in two parts. Study 1 results show that the percentage of general public viewing the aspect of contact tracing positively had not changed throughout the time period of Data frame (March 2020 to July 2020). However, compared to the initial month of the crises, the later months saw a considerable increase in negative sentiments and a decrease in neutral sentiments regarding the digital contact tracing. Study 2 finds out the significant issues public voices out in their negative sentiments are a violation of privacy, fear of safety and lack of trust in government. Originality/value Although numerous studies were conducted on how to implement contact tracing effectively, to the best of the authors’ knowledge, this is the first study conducted with an objective of understanding the general public’s perception of contact tracing.
Praveen SV, Jose Manuel Lorenz, Rajesh Ittamalla, Kuldeep Dhama, Chiranjib Chakraborty, Daruri Venkata Srinivas Kumar, and Thivyaa Mohan
MDPI AG
This study analyzed perceptions of Indians regarding COVID-19 booster dose vaccines using natural language processing techniques, particularly, sentiment analysis and topic modeling. We analyzed tweets generated by Indian citizens for this study. In late July 2022, the Indian government hastened the process of COVID-19 booster dose vaccinations. Understanding the emotions and concerns of the citizens regarding the health policy being implemented will assist the government, health policy officials, and policymakers implement the policy efficiently so that desired results can be achieved. Seventy-six thousand nine hundred seventy-nine tweets were used for this study. The sentiment analysis study revealed that out of those 76,979 tweets, more than half (n = 40,719 tweets (52.8%) had negative sentiments, 24,242 tweets (31.5%) had neutral sentiments, and 12,018 tweets (15.6%) had positive sentiments. Social media posts by Indians on the COVID-19 booster doses have focused on the feelings that younger people do not need vaccines and that vaccinations are unhealthy.
Sandip Chakraborty, Ranjan K. Mohapatra, Deepak Chandran, Mahmoud Alagawany, Praveen Sv, Md Aminul Islam, Chiranjib Chakraborty, and Kuldeep Dhama
Elsevier BV