COVID-19 Vaccination Perceptions, Issues, and Challenges: An Analysis of Tweets Using Machine Learning Models

COVID-19 Vaccination Perceptions, Issues, and Challenges: An Analysis of Tweets Using Machine Learning Models

Sreekantha Desai Karanam, Krithin M., R. V. Kulkarni
DOI: 10.4018/978-1-6684-5264-6.ch006
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Abstract

The vaccines are developed to protect us from diseases, and these vaccines are saving millions of people every year. The acceptance of taking COVID-19 vaccinations was affected by their knowledge and opinion on COVID-19 vaccines. The ever-increasing misinformation and opposition to take COVID-19 vaccines have created a major problem for healthcare professionals in meeting the targets set for vaccine coverage. There is an urgent need to apply supportive and inclusive approaches to enhance people's self-confidence and acceptance of these vaccines by taking away their misconceptions. To control the spread of COVID-19 disease, practicing all the social operational standards and high vaccination coverage are required. Most healthcare workers in Asia are vaccinated. This chapter reviewed the papers on COVID-19 vaccination perceptions, issues, and side effects. The authors also designed a machine learning model to analyze the perceptions of the people from analysing their tweets. This analysis provides an insight into perceptions and drives-focused vaccination programmes.
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Introduction

All viruses including coronavirus that leads to Covid-19 disease undergoes evolution with time. The virus makes copies of itself with minor random modifications each time for its sustainability. Vaccines will strengthen the body immune by fighting against viruses. The safety and effectiveness of vaccines are tested rigorously. Billions of people have safely received Covid-19 vaccines already. All licensed Covid-19 vaccines have been cautiously undergone a multi-stage testing process, with a large number of clinical trials involving tens of thousands of people. These clinical trials are carefully developed to discover all safety concerns. The Covid-19 vaccination drive needs to be the top priority to achieve herd immunity. The resistance to the Covid-19 vaccine is much higher than other vaccines. The benefits such as trust, protection, social acceptance are realized from vaccination promote taking Covid-19 are by the people. The people below the age group of 54 have more resistance to the Covid-19 vaccine. The vaccination acceptance rate is also associated with existing healthcare system performance, available support facilities during pandemic times. The vaccination drive should concentrate on areas where poor people live in less hygienic conditions with low Socio-Economic Status (SES) having heavy disease burden to ensure equality of vaccine distribution to provide more rigorous disease mitigation. Today there are many conflicting problems related to the frequency of administration, vaccine efficacy and durability, preferred vaccine type, pregnant/lactating women, and vaccination in children (<18 years). These problems need to resolve in due time. Researchers discovered that there is a significantly higher risk of cardiac involvement from Covid-19 infection compared to Covid-19 vaccination.

COVAX: The COVID-19 Vaccines Global Access Facility

Covax is unique global cooperation for accelerating up the invention, development, manufacture and equitable distribution of Covid-19 vaccines. COVAX objective is to develop effective Covid-19 vaccines. The COVAX Advance Market Commitment (AMC) is an innovative financing instrument that will support the collaboration of 92 low- and middle-income economies in the COVAX facility - availing to donor-funded doses of safe and effective Covid-19 vaccines. A National Deployment and Vaccination Plans (NDVP) is an operational plan to implement and monitor the Covid-19 vaccination roll-out in a country. AMC92 countries must design a Covid-19 NDVPs and submit them. This NDVP serves as the “one-country plan” and main framework for a country’s vaccine distribution and vaccination process.

The list of Acronyms used in this paper used are shown below in <<tbc1>>1

Table 1.
The list of Acronyms used in this paper
AcronymDescriptionAcronymDescription
Covid-19Corona Virus Disease of 2019cMRICardiac Magnetic Resonance Imaging
WHOWorld Health OrganizationDHVIDuke’s Human Vaccine Institute
COVAXThe COVID-19 Vaccines Global Access FacilityBERTBidirectional Encoder Representations from Transformers
NDVPsNational Deployment and Vaccination PlansIPFSInter Planetary File System
WTPWillingness To PayBCGBacille Calmette-Guerin, is a vaccine for tuberculosis
COVAX AMC9292 countries entering Advance Market Commitment for Covid-19 vaccination18F-FDG PET/CTPositron Emission Tomography with2-deoxy-2-[fluorine-18] Fluoro-D-Glucose
UNICEFUnited Nations International Children's Emergency FundLDLTLiving Donor Liver Transplantation
SESSocio Economic status.PPARsPeroxisome Proliferator-Activated Receptors
ICUIntensive Care UnitDMDiabetes Mellitus
RTPCRReverse Transcription Polymerase Chain ReactionSARS-CoV-2Severe Acute Respiratory Syndrome CoronaVirus-2
LLPCsLong-Lived Plasma CellsVRVVaccine Record Verification
SBISociety of Breast ImagingDWMsDark Web Marketing
LAPLymph Adeno PathyCPHClinical Public Health
HCWsHealth Care WorkersVOCVariants of Concern
RNARibo Nucleic AcidACADICArtificial Intelligence and Data Innovation Consortium

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