Interrogating COVID-19 vaccine intent in the Philippines with a nationwide open-access online survey

Relative contribution of biomedical, demographic, and socioeconomic factors to COVID-19 vaccine receipt in rural India

BACKGROUND

In the first year of roll-out, vaccination for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) prevented almost 20 million deaths from coronavirus disease 2019 (COVID-19). Yet, little is known about the factors influencing access to vaccination at the individual level within rural poor settings of low-income countries. The aim of this study was to examine determinants of vaccine receipt in rural India.

METHODS

A census of a rural village in Tamil Nadu was undertaken from June 2021 to September 2022. We surveyed 775 participants from 262 households. Household-level data on socioeconomic status (SES), water, sanitation, and hygiene practices, and individual-level demographic information, travel history, and biomedical data, including anthropometry, vital signs, and comorbidities, were collected. Logistic regression models with 5-fold cross-validation were used to identify the biomedical, demographic, and socioeconomic determinants of vaccine receipt and the timing of receipt within the first 30 days of eligibility. Vaccine ineligible participants were excluded leaving 659 eligible participants. There were 650 eligible participants with complete biomedical, demographic, and socioeconomic data.

RESULTS

There were 68.0% and 34.0% of individuals (N = 650) who had received one and two vaccine doses, respectively. Participants with household ownership of a permanent account number (PAN) or ration card were 2.15 (95% CI:1.32-3.52) or 3.02 (95% CI:1.72-5.29) times more likely to receive at least one vaccine dose compared to households with no ownership of such cards. Participants employed as housewives or self-employed non-agricultural workers were 65% (95% CI:0.19-0.67) or 59% (95% CI:0.22-0.76) less likely to receive at least one vaccine dose compared to salaried workers. Household PAN card ownership, occupation and age were linked to the timing of vaccine receipt. Participants aged ≤18 and 45-60 years were 17.74 (95% CI:5.07-62.03) and 5.51 (95% CI:2.74-11.10) times more likely to receive a vaccine within 30 days of eligibility compared to 19-44-year-olds. Biomedical factors including BMI, vital signs, comorbidities, and COVID-19 specific symptoms were not consistently associated with vaccine receipt or timing of receipt. No support was found that travel history, contact with COVID-19 cases, and hospital admissions influenced vaccine receipt or timing of receipt.

CONCLUSION

Factors linked to SES were linked to vaccine receipt, more so than biomedical factors which were targeted by vaccine policies. Future research should explore if government interventions including vaccine mandates, barriers to vaccine access, or peer influence linked to workplace or targeted vaccine promotion campaigns underpin these findings.

How Well the Constructs of Health Belief Model Predict Vaccination Intention: A Systematic Review on COVID-19 Primary Series and Booster Vaccines

This systematic review synthesizes the findings of quantitative studies examining the relationships between Health Belief Model (HBM) constructs and COVID-19 vaccination intention. We searched PubMed, Medline, CINAHL, Web of Science, and Scopus using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and identified 109 eligible studies. The overall vaccination intention rate was 68.19%. Perceived benefits, perceived barriers, and cues to action were the three most frequently demonstrated predictors of vaccination intention for both primary series and booster vaccines. For booster doses, the influence of susceptibility slightly increased, but the impact of severity, self-efficacy, and cues to action on vaccination intention declined. The impact of susceptibility increased, but severity's effect declined sharply from 2020 to 2022. The influence of barriers slightly declined from 2020 to 2021, but it skyrocketed in 2022. Conversely, the role of self-efficacy dipped in 2022. Susceptibility, severity, and barriers were dominant predictors in Saudi Arabia, but self-efficacy and cues to action had weaker effects in the USA. Susceptibility and severity had a lower impact on students, especially in North America, and barriers had a lower impact on health care workers. However, cues to action and self-efficacy had a dominant influence among parents. The most prevalent modifying variables were age, gender, education, income, and occupation. The results show that HBM is useful in predicting vaccine intention.

Application of behavioral change theory and models on COVID-19 preventive behaviors, worldwide: A systematic review

Objective:

This systematic review aimed to assess the global application of behavioral change theory and models on COVID-19 preventive behaviors.

Methods:

This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedure. Databases such as PubMed/MIDLINE, Web of Science, Scopus, EMB ASE, World Health Organization libraries, and Google Scholar were used to search all published articles in the area of application of behavioral change theory and model on COVID-19 preventive behavior until October 1, 2022. Studies published in another language other than English were excluded. Two independent reviewers did the article selection and quality check. A third reviewer asked if any disagreement were found.

Result:

Seventeen thousand four hundred thirty-six total articles were retrieved from all sources after the removal of duplicated articles and those not evaluating the outcome of interest were excluded. Finally, 82 articles done using behavioral change theory and model on COVID-19 preventive behaviors were included. The health belief model (HBM) and theory of planned behavior (TPB) were most commonly used in COVID-19 preventive behaviors. The constructs of most behavioral theories and models were significantly associated with COVID-19 preventive behaviors such as hand washing, face mask use, vaccine uptake, social isolation, self-quarantine, social distance, and use of sanitizers.

Conclusion:

This systematic review summarizes comprehensive evidence on the application of behavioral change theory and model on COVID-19 preventive behaviors globally. A total of seven behavioral change theories and models were included. The HBM and TPBs were most commonly used for COVID-19 preventive behaviors. Therefore, the application of behavioral change theory and models is recommended for developing behavioral change interventional strategies.

Filipinos' COVID-19 vaccine hesitancy comments in TikTok videos: A manifest content analysis

OBJECTIVES

Vaccine hesitancy is one of the top 10 threats to world health. The ongoing pandemic highlighted this health threat. The COVID-19 vaccine hesitancy remains underreported in the Philippines. Thus, this study aimed to describe and analyze the comments of Filipinos in TikTok videos about COVID-19 vaccine hesitancy.

DESIGN

Manifest content analysis.

SAMPLE

A total of 25 TikTok videos and their comments (n = 4564) were analyzed.

METHODS

We collected data between July 2021 and October 2021. Bengtsson's approach to content analysis was utilized to analyze the data. Data were validated using member-checking and intercoder reliability.

RESULTS

This study afforded three themes of COVID-19 vaccine hesitancy: (a) fear and mistrust (subthemes: influence of Dengvaxia vaccine, the influence of people who refuse to be vaccinated, lack of trust in the government, lack of trust in healthcare workers, doubts on vaccines' effectiveness), (b) misinformation and disinformation (subthemes: misbeliefs, insufficient knowledge), and (c) adamant attitudes (subthemes: unwillingness to be vaccinated, picky on vaccine brand).

CONCLUSION

Our study established Filipinos' diverse reasons for COVID-19 vaccine hesitancy. TikTok, as a social media platform, is used for COVID-19 vaccine discussions and the dissemination of misinformation. To prepare for the next pandemic or public health disaster, the government, HCWs, and the public must efficiently convey timely, accurate health information and dispel misinformation on social media platforms.

Optimal selection of COVID-19 vaccination sites in the Philippines at the municipal level

In this work, we present an approach to determine the optimal location of coronavirus disease 2019 (COVID-19) vaccination sites at the municipal level. We assume that each municipality is subdivided into smaller administrative units, which we refer to as barangays. The proposed method solves a minimization problem arising from a facility location problem, which is formulated based on the proximity of the vaccination sites to the barangays, the number of COVID-19 cases, and the population densities of the barangays. These objectives are formulated as a single optimization problem. As an alternative decision support tool, we develop a bi-objective optimization problem that considers distance and population coverage. Lastly, we propose a dynamic optimization approach that recalculates the optimal vaccination sites to account for the changes in the population of the barangays that have completed their vaccination program. A numerical scheme that solves the optimization problems is presented and the detailed description of the algorithms, which are coded in Python and MATLAB, are uploaded to a public repository. As an illustration, we apply our method to determine the optimal location of vaccination sites in San Juan, a municipality in the province of Batangas, in the Philippines. We hope that this study may guide the local government units in coming up with strategic and accessible plans for vaccine administration.

Optimal selection of COVID-19 vaccination sites in the Philippines at the municipal level

In this work, we present an approach to determine the optimal location of coronavirus disease 2019 (COVID-19) vaccination sites at the municipal level. We assume that each municipality is subdivided into smaller administrative units, which we refer to as barangays. The proposed method solves a minimization problem arising from a facility location problem, which is formulated based on the proximity of the vaccination sites to the barangays, the number of COVID-19 cases, and the population densities of the barangays. These objectives are formulated as a single optimization problem. As an alternative decision support tool, we develop a bi-objective optimization problem that considers distance and population coverage. Lastly, we propose a dynamic optimization approach that recalculates the optimal vaccination sites to account for the changes in the population of the barangays that have completed their vaccination program. A numerical scheme that solves the optimization problems is presented and the detailed description of the algorithms, which are coded in Python and MATLAB, are uploaded to a public repository. As an illustration, we apply our method to determine the optimal location of vaccination sites in San Juan, a municipality in the province of Batangas, in the Philippines. We hope that this study may guide the local government units in coming up with strategic and accessible plans for vaccine administration.