바로가기메뉴

본문 바로가기 주메뉴 바로가기

ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

logo

  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Evaluation of Factors for Effective Distribution of Covid-19 Vaccines

Evaluation of Factors for Effective Distribution of Covid-19 Vaccines

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2022, v.20 no.7, pp.57-64
https://doi.org/https://doi.org/10.15722/jds.20.07.202207.57
RAJU, Totakura Bangar (School of Business, University of Petroleum and Energy Studies)
CHAKRABARTI, Deepankar (Jaipuria Institute of Management)
DAS, Neenu (School of Business, University of Petroleum and Energy Studies)
MATHUR, Ravi Prakash (Logistics and Supply chain management, Dr Reddys Laboratories Ltd.)

Abstract

Purpose: The government of India has initiated the Covid-19 Vaccination drive from early January 2021. Vaccination is identified to be best option to protect the people across the globe. However, owing to fast wide spread of the Covid-19, the Vaccine Distribution is a major challenge owing various issues like temperature control, infrastructure, hesitancy, geographical diversity, and other critical factors. Various research is carried out globally to understand and study the Vaccine Distribution issues based on the respective country issues and factors. Research Design, Data, and Methodology: This research paper attempts to explore prominent factors that could be taken up on priority for better and effective vaccination program. The study tries to rank various factors and sub-factors affecting vaccine distribution in India. AHP methodology based on feedback from 22 experts from the Vaccine industry has been deployed to get the desired results. Result: The results show that factors vaccine approval process, geographical prioritization, power supply, infrastructure maintenance costs for vaccine storage, and vaccine pricing are the prominent factors of effective vaccination in the country. Conclusion: The role and need for district-level health officers towards vaccine storage has been brought forward. A long-term effective vaccination policy is needed for optimum vaccine distribution.

keywords
Vaccine, Distribution, AHP, Covid-19, Delivery

참고문헌

1.

Adida, E., Dey, D., & Mamani, H. (2013). Operational issues and network effects in vaccine markets. European Journal of Operational Research, 231(2), 41-427. https://doi.org/10.1016/j.ejor.2013.05.034

2.

Asgari, N., Hassani, A., Jones, D., & Nguye, H. H. (2015). Sustainability ranking of the UK major ports: Methodology and case study. Transportation Research Part E: Logistics and Transportation Review, 78, 19–39. https://doi.org/10.1016/j.tre.2015.01.014

3.

Berkley, S. (2019). Political will and vaccine legislation. Vaccine 37(35), 4838–4839. Elsevier Ltd. https://doi.org/10.1016/j.vaccine.2018.10.036

4.

Bogale, H. A., Amhare, A. F., & Bogale, A. A. (2019). Assessment of factors affecting vaccine cold chain management practice in public health institutions in east Gojam zone of Amhara region. BMC Public Health, 19(1), 1–6. https://doi.org/10.1186/s12889-019-7786-x

5.

Chojnacky, M. J., Santacruz, L. F. C., Miller, W. W., & Strouse, G. F. (2015). Optimizing Data Logger Setup and Use for Refrigerated Vaccine Temperature Monitoring. NCSLI Measure, 10(3), 28–37. https://doi.org/10.1080/19315775.2015.11721733

6.

Das, M. K., Sood, M., Tambe, M. P., Sharma, T. D., Parande, M. A. G., Surwade, J. B., Salunkhe, N. M., Patil, S. S., Pawar, B., Guleri, R., Kaushal, C., & Sindhu, M. (2020). Documentation of vaccine wastage in two different geographic contexts under the universal immunization program in India. BMC Public Health, 20(1). https://doi.org/10.1186/s12889-020-08637-1

7.

Davahli, M. R., Karwowski, W., & Fiok, K. (2021). Optimizing COVID-19 vaccine distribution across the United States using deterministic and stochastic recurrent neural networks. PLoS ONE, 16(7 July). https://doi.org/10.1371/journal.pone.0253925

8.

De Paula, N. O. B., de Araújo Costa, I. P., Drumond, P., Moreira, M. Â. L., Gomes, C. F. S., dos Santos, M., & do Nascimento Maêda, S. M. (2021). Strategic support for the distribution of vaccines against Covid-19 to Brazilian remote areas: A multicriteria approach in the light of the ELECTRE-MOr method. Procedia Computer Science, 199, 40–47. https://doi.org/10.1016/j.procs.2022.01.006

9.

Epling, J. W. (2020). Vaccine Policy in the United States. Primary Care - Clinics in Office Practice, 47(3), 539–553. W.B. Saunders. https://doi.org/10.1016/j.pop.2020.05.011

10.

Eshun-Wilson, I., Mody, A., Tram, K. H., Bradley, C., Sheve, A., Fox, B., Thompson, V., and Geng, E. H. (2021). Preferences for COVID-19 vaccine distribution strategies in the US: A discrete choice survey. PLoS ONE, 16(8) 1-15. https://doi.org/10.1371/journal.pone.0256394

11.

Falcón, V. C., Porras, Y. V. V., Altamirano, C. M. G., & Kartoglu, U. (2020). A vaccine cold chain temperature monitoring study in the United Mexican States. Vaccine, 38(33), 5202–5211. https://doi.org/10.1016/j.vaccine.2020.06.014

12.

Gaudenzi, B., & Borghesi, A. (2006). Managing risks in the supply chain using the AHP method. The International Journal of Logistics Management, 17(1), 114–136. https://doi.org/10.1108/09574090610663464

13.

Guichard, S., Hymbaugh, K., Burkholder, B., Diorditsa, S., Navarro, C., Ahmed, S., & Rahman, M. M. (2010). Vaccine wastage in Bangladesh. Vaccine, 28(3), 858–863. https://doi.org/10.1016/j.vaccine.2009.08.035

14.

Haidari, L. A., Connor, D. L., Wateska, A. R., Brown, S. T., Mueller, L. E., Norman, B. A., Schmitz, M. M., Paul, P., Rajgopal, J., Welling, J. S., Leonard, J., Chen, S. I., & Lee, B. Y. (2013). Augmenting Transport versus Increasing Cold Storage to Improve Vaccine Supply Chains. PLoS ONE, 8(5) 1-17. https://doi.org/10.1371/journal.pone.0064303

15.

Hussain, S. F., Boyle, P., Patel, P., & Sullivan, R. (2016). Eradicating polio in Pakistan: An analysis of the challenges and solutions to this security and health issue. Globalization and Health 12(1) 1-9. https://doi.org/10.1186/s12992-016-0195-3

16.

Iwu, C. J., Ngcobo, N., McCaul, M., Mangqalaza, H., Magwaca, A., Chikte, U., & Wiysonge, C. S. (2020). Vaccine stock management in primary health care facilities in OR Tambo District, Eastern Cape, South Africa. Vaccine, 38(25), 4111–4118. https://doi.org/10.1016/j.vaccine.2020.04.019

17.

Jadhav, S., Gautam, M., & Gairola, S. (2014). Role of vaccine manufacturers in developing countries towards global healthcare by providing quality vaccines at affordable prices. Clinical Microbiology and Infection 20(5), 37–44. Blackwell Publishing Ltd. https://doi.org/10.1111/1469-0691.12568

18.

Klumpp, M., Monfared, I. G., & Vollmer, S. (2022). Public opinion on global distribution of COVID-19 vaccines: Evidence from two nationally representative surveys in Germany and the United States. Vaccine, 40(16), 2457–2461. https://doi.org/10.1016/j.vaccine.2022.02.084

19.

Lahariya, C. (2014). A brief history of vaccines & vaccination in India. International Journal of Medical Research, 139, 491–511.

20.

Lemmens, S., Decouttere, C., Vandaele, N., & Bernuzzi, M. (2016). A review of integrated supply chain network design models:Key issues for vaccine supply chains. Chemical Engineering Research and Design, 109, 366–384. https://doi.org/10.1016/j.cherd.2016.02.015

21.

Lin, Q., Zhao, Q., & Lev, B. (2020). Cold chain transportation decision in the vaccine supply chain. European Journal of Operational Research, 283(1), 182–195. https://doi.org/10.1016/j.ejor.2019.11.005

22.

Long, A. J., & Hayney, M. S. (2013). Best practices essential for storage and temperature monitoring of refrigerated vaccines. Journal of the American Pharmacists Association, 53(6), 660–661. https://doi.org/10.1331/JAPhA.2013.13537

23.

Matthias, D. M., Robertson, J., Garrison, M. M., Newland, S., & Nelson, C. (2007). Freezing temperatures in the vaccine cold chain: A systematic literature review. Vaccine, 25(20), 3980–3986. https://doi.org/10.1016/j.vaccine.2007.02.052

24.

Mihigo, R., Okeibunor, J., Cernuschi, T., Petu, A., Satoulou, A., & Zawaira, F. (2019). Improving access to affordable vaccines for middle-income countries in the african region. Vaccine, 37(21), 2838–2842. https://doi.org/10.1016/j.vaccine.2019.03.077

25.

Norman, B. A., Rajgopal, J., Lim, J., Gorham, K., Haidari, L., Brown, S. T., & Lee, B. Y. (2015). Modular vaccine packaging increases packing efficiency. Vaccine, 33(27), 3135–3141. https://doi.org/10.1016/j.vaccine.2015.04.091

26.

Otieno, N. A., Nyawanda, B. O., Audi, A., Emukule, G., Lebo, E., Bigogo, G., Ochola, R., Muthoka, P., Widdowson, M. A., Shay, D. K., Burton, D. C., Breiman, R. F., Katz, M. A., & Mott, J. A. (2014). Demographic, socio-economic and geographic determinants of seasonal influenza vaccine uptake in rural western Kenya, 2011. Vaccine, 32(49), 6699–6704. https://doi.org/10.1016/j.vaccine.2013.10.089

27.

Pickering, L. K., Meissner, H. C., Orenstein, W. A., & Cohn, A. C. (2020). Principles of Vaccine Licensure, Approval, and Recommendations for Use. Mayo Clinic Proceedings 95(3) 600–608. https://doi.org/10.1016/j.mayocp.2019.11.002

28.

Robbins, M. J., & Lunday, B. J. (2016). A bilevel formulation of the pediatric vaccine pricing problem. European Journal of Operational Research, 248(2), 634–645. https://doi.org/10.1016/j.ejor.2015.06.075

29.

Saaty, R. W. (1987). The analytic hierarchy process-what it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8

30.

Sengar, V. S., Garg C. P., & Raju, T. B. (2018). Assessment of sustainable initiatives in Indian ports using AHP framework. International Journal of Business Excellence, 16(1), 110–126. https://doi.org/10.1504/IJBEX.2018.094580

31.

Shakeel, S. I., Brown, M., Sethi, S., & MacKey, T. K. (2019). Achieving the end game: Employing vaccine diplomacy to eradicate polio in Pakistan. BMC Public Health, 19(1) 1-8. https://doi.org/10.1186/s12889-019-6393-1

32.

Shukla, S., Fressin, F., Un, M., Coetzer, H., & Chaguturu, S. K. (2022). Optimizing vaccine distribution via mobile clinics: A case study on COVID-19 vaccine distribution to long-term care facilities. Vaccine, 40(5), 734-741. https://doi.org/10.1016/j.vaccine.2021.12.049

33.

Sun, J., Zhang, M., Gehl, A., Fricke, B., Nawaz, K., Gluesenkamp, K., Shen, B., Munk, J., Hagerman, J., & Lapsa, M. (2022). COVID 19 vaccine distribution solution to the last mile challenge: Experimental and simulation studies of ultra-low temperature refrigeration system. International Journal of Refrigeration, 133, 313-325. https://doi.org/10.1016/j.ijrefrig.2021.11.005

34.

Wang, H. B., Zhang, L. F., Yu, W. Z., Wen, N., Yan, D. M., Tang, J. J., Zhang, Y., Fan, C. X., Reilly, K. H., Xu, W. B., Li, L., Ding, Z. R., & Luo, H. M. (2015). Cross-border collaboration between China and Myanmar for emergency response to imported vaccine derived poliovirus case. BMC Infectious Diseases, 15(1), 1-8. https://doi.org/10.1186/s12879-015-0745-y

35.

Xiao, J., Cheung, J. K., Wu, P., Ni, M. Y., Cowling, B. J., & Liao, Q. (2022). Temporal changes in factors associated with COVID-19 vaccine hesitancy and uptake among adults in Hong Kong: Serial cross-sectional surveys. The Lancet Regional health 23(1) 1-12. https://doi.org/10.1016/j.lanwpc.2022.100441

36.

Yamin, D., & Gavious, A. (2013). Incentives effect in Influenza Vaccination Policy. Management Science, 59(12), 2667-2686. https://www.jstor.org/stable/42919502

37.

Yarmand, H., Ivy, J. S., Denton, B., & Lloyd, A. L. (2014). Optimal two-phase vaccine allocation to geographically different regions under uncertainty. European Journal of Operational Research, 233(1), 208-219. https://doi.org/10.1016/j.ejor.2013.08.027

The Journal of Distribution Science(JDS)