Literature DB >> 33342632

An inventory-location optimization model for equitable influenza vaccine distribution in developing countries during the COVID-19 pandemic.

Mehdi Rastegar1, Madjid Tavana2, Afshin Meraj3, Hassan Mina4.   

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.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Healthcare equitability; Influenza virus; Inventory-location problem; Mixed-integer linear programming; Vaccine supply chain

Year:  2020        PMID: 33342632     DOI: 10.1016/j.vaccine.2020.12.022

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  16 in total

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8.  An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand.

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9.  A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries.

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Journal:  Ann Oper Res       Date:  2021-06-03       Impact factor: 4.820

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Journal:  Vaccine       Date:  2021-07-27       Impact factor: 3.641

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