Faculty Publications

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  • Item
    Assessing mobile health applications with twitter analytics
    (Elsevier Ireland Ltd, 2018) Pai, R.R.; Alathur, S.
    Introduction: Advancement in the field of information technology and rise in the use of Internet has changed the lives of people by enabling various services online. In recent times, healthcare sector which faces its service delivery challenges started promoting and using mobile health applications with the intention of cutting down the cost making it accessible and affordable to the people. Objectives: The objective of the study is to perform sentiment analysis using the Twitter data which measures the perception and use of various mobile health applications among the citizens. Methods: The methodology followed in this research is qualitative with the data extracted from a social networking site “Twitter” through a tool RStudio. This tool with the help of Twitter Application Programming Interface requested one thousand tweets each for four different phrases of mobile health applications (apps) such as “fitness app” “diabetes app” “meditation app” and “cancer app”. Depending on the tweets, sentiment analysis was carried out, and its polarity and emotions were measured. Results: Except for cancer app there exists a positive polarity towards the fitness, diabetes, and meditation apps among the users. Following a system thinking approach for our results, this paper also explains the causal relationships between the accessibility and acceptability of mobile health applications which helps the healthcare facility and the application developers in understanding and analyzing the dynamics involved the adopting a new system or modifying an existing one. © 2018 Elsevier B.V.
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    Sentiment analysis of an epidemic: A case of Nipah virus in India
    (Inderscience Publishers, 2022) Jayan, V.; Alathur, S.; Pai, R.R.
    Data in social media and other news media can have an impact on the decision-making process of the government and the citizen if properly examined. The mode and pace of dissemination in both media leads to an increase in the delivery of misinformation. This affects the economy of the country and people's mental health. The government must formulate the required measures to counter the proliferation of fake messages and disinformation in the media, which would otherwise lead to an unnecessary burden. Regulation of health communication during the period of epidemic is important, as it has an effect on the mental health of users of the media. The study assesses the emotions of health communication in social media and online news media in the context of the Nipah epidemic in India during 2018. © © 2022 Inderscience Enterprises Ltd.
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    Impact of COVID-19 on individuals’ mental health and preventive health behaviours: a conceptual framework
    (Inderscience Publishers, 2022) Pai, R.R.; Chetty, N.; Alathur, S.
    The corona virus disease (COVID-19) is a pandemic that facilitate a confrontation space for scientific and social existence of human frontiers. The rapid spread and mortality rate of COVID-19 and the preventive measures including social distancing and its impact on economy, developed an unprecedented consciousness around the globe. It has created an effect on the mental health of individuals employed across various sectors and is outlined in this study. There is currently an inadequate theoretical model that focuses on the comprehensive understanding of the psychology of preventive behaviour during the outbreak of pandemics. In this study, a transnational model is delineated for assessing the adoption of preventive behavioural practices associated with COVID-19 pandemic. It uses the components derived from the theories of situational awareness and health belief model and literatures related to impact of containment strategies on various sectors. The contribution includes policy recommendations that can be helpful for the healthcare professionals and government to control the disease spread. © © 2022 Inderscience Enterprises Ltd.
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    An empirical study on mobile-assisted civic and e-learning service through sentiment analysis
    (Inderscience Publishers, 2023) Vanitha, P.S.; Alathur, S.
    This paper aims to analyse the use of mobile phone assisted services in civic and academic learning. General and education-related learning applications useful to educate the users are considered as the input. This paper explores the literature into two different aspects: general and education-related mobile applications. The sentiment analysis is carried out to study users' emotions towards the mobile learning (mLearning) service. More than 30,000 tweets were collected. Through sentiment analysis, the users' awareness about mLearning application is analysed and compared. Fewer studies have reported the usefulness of civic learning apps introduced by government agencies. Moreover, the users' perceptions towards the mLearning apps in higher education are also less reported in the Indian context. The findings show the importance of improving mLearning services initiated by government agencies for civic and education-related learning. The suggestions are also provided for the improvement of mLearning services in India. © 2023 Inderscience Enterprises Ltd.