Title

A Comparative Analysis of COVID-19 Vaccine Distribution Efforts in India and Mongolia through Data Visualization

Authors

Paridhi Latawa, International Socioeconomics Laboratory
Sadhana Kumar, International Socioeconomics Laboratory
Udeshna Srimal, International Socioeconomics Laboratory
Rachana Tanksali, International Socioeconomics Laboratory
Edward Ning '23, Illinois Mathematics and Science AcademyFollow
Ajay Macherla, International Socioeconomics Laboratory
Haily Nguyen, International Socioeconomics Laboratory
Kristina Lian, International Socioeconomics Laboratory
Joy Jiang, International Socioeconomics Laboratory
Julia Ding, International Socioeconomics Laboratory
Daniel Stewart, International Socioeconomics Laboratory

Files

External Research Program

Harvard, International Socioeconomics Laboratory

Description

COVID-19 vaccine allocation efforts have posed challenges and offered opportunities to alleviate the ongoing pandemic. Nations have employed varying approaches for COVID-19 vaccine distribution; in particular, Mongolia and India have differed in approaches to vaccine allocation efforts. As of June 2021, Mongolia has vaccinated more than 60% of its population, whereas India has only vaccinated about 7.5%. This disparity highlights the need for the present study, which utilizes a mixed-method approach to examine the two countries' vaccine distribution strategies and COVID-19 containment policies from January to July 2021. The study has three major components: 1) policy analysis to highlight core differences between legislative approaches for containment, 2) dissemination of a survey to both nations to assess public perception of vaccine allocation and distribution efforts, and 3) mathematical vaccine modeling to analyze vaccination coverage in both countries. For the survey, 311 responses from India and 307 responses from Mongolia were analyzed using the statistical software JASP and SPSS. Results showed that Mongolian and Indian respondents had similar views regarding vaccine effectiveness, but that country and region influenced whether distance from a vaccination center was an obstacle for getting the vaccine. Policy analysis revealed key factors—such as early response policies, vaccine diplomacy, and resource allocation—had significant implications on the two nations' distribution efforts. Vaccine distribution pipeline modeling was based on the critical vaccination coverage fraction in each country and revealed that India would not have enough doses to achieve critical vaccination coverage at the current rate of administration.

Publication Date

2022

Publisher

Across the Spectrum of Socioeconomics, Volume 1 Issue 5

Keywords

COVID-19, Vaccine Distribution, Vaccine Strategy, Public Health Response, Vaccine Modeling, India, Mongolia

Disciplines

Immunology and Infectious Disease | Public Health

Comments

Advisors: Himani Tiwari MS², Gopal Barik MS², Kim Warren PhD⁴, Maurice Glucksman MS^3,5, Shankar Suryanarayan MS³, Ryenchindorj Erkhembayar MN⁶, Dorjbalam Gansukh⁶, Harshita Magroria⁵, Brahmani Nutakki⁵, Sonam Maske⁵, Sukhada Gole⁵, Yasashree Rane⁵, Enkhtungalag Chuluunbaatar⁷, Byambatsetseg Lkhavgasuren⁷

Affiliations: ¹International Socioeconomics Laboratory TM, ²Tata Institute of Social Sciences, ³Massachusetts Institute of Technology, ⁴London Business School, ⁵The COVID-19 Localisation Modelling Group, ⁶Mongolian National University of Medical Sciences, ⁷Public Lab Mongolia

Recommended Citation

Latawa, Paridhi; Kumar, Sadhana; Srimal, Udeshna; Tanksali, Rachana; Ning, Edward '23; Macherla, Ajay; Nguyen, Haily; Lian, Kristina; Jiang, Joy; Ding, Julia; and Stewart, Daniel, "A Comparative Analysis of COVID-19 Vaccine Distribution Efforts in India and Mongolia through Data Visualization" (2022). External Student Research Opportunities. 3.
https://digitalcommons.imsa.edu/external_student_research/3