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An inventory-location optimization model for equitable influenza vaccine distribution in developing countries during the COVID-19 pandemic.
Rastegar, Mehdi; Tavana, Madjid; Meraj, Afshin; Mina, Hassan.
  • Rastegar M; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: mehdi.rastegar@ut.ac.ir.
  • Tavana M; Business Systems and Analytics Department, Distinguished Chair of Business Analytics, La Salle University, Philadelphia, PA 19141, United States; Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, D-33098 Paderborn, Germany. Electronic
  • Meraj A; Department of Management, University of Tehran, Tehran, Iran. Electronic address: amearaj@ut.ac.ir.
  • Mina H; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: hassan.mina@ut.ac.ir.
Vaccine ; 39(3): 495-504, 2021 01 15.
Article in English | MEDLINE | ID: covidwho-968914
ABSTRACT
The addition of other respiratory illnesses such as flu could cripple the healthcare system during the coronavirus disease 2019 (COVID-19) pandemic. An annual seasonal influenza vaccine is the best way to help protect against flu. Fears of coronavirus have intensified the shortage of influenza shots in developing countries that hope to vaccinate many populations to reduce stress on their health services. We present an inventory-location mixed-integer linear programming model for equitable influenza vaccine distribution in developing countries during the pandemic. The proposed model utilizes an equitable objective function to distribute vaccines to critical healthcare providers and first responders, elderly, pregnant women, and those with underlying health conditions. We present a case study in a developing country to exhibit efficacy and demonstrate the optimization model's applicability.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza Vaccines / Public Health / Developing Countries / Equipment and Supplies / COVID-19 Type of study: Observational study Topics: Vaccines Limits: Aged / Female / Humans / Pregnancy Language: English Journal: Vaccine Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza Vaccines / Public Health / Developing Countries / Equipment and Supplies / COVID-19 Type of study: Observational study Topics: Vaccines Limits: Aged / Female / Humans / Pregnancy Language: English Journal: Vaccine Year: 2021 Document Type: Article