• Researchers roll out data on COVID vacci

    From ScienceDaily@1:317/3 to All on Fri Apr 1 22:30:38 2022
    Researchers roll out data on COVID vaccine distribution and waste

    Date:
    April 1, 2022
    Source:
    North Carolina State University
    Summary:
    Researchers are rolling out a data set that provides detailed
    information on COVID-19 vaccine shipments and wastage across the
    United States, with the goal of spurring new data analysis to
    improve vaccination efforts in the future.



    FULL STORY ========================================================================== Researchers are rolling out a data set that provides detailed information
    on COVID-19 vaccine shipments and wastage across the United States, with
    the goal of spurring new data analysis to improve vaccination efforts
    in the future. The work stems from a collaboration between researchers
    at North Carolina State University and BuzzFeed News.


    ==========================================================================
    "The development and distribution of COVID-19 vaccines has been a
    monumental undertaking," says Ali Hajbabaie, corresponding author of the
    paper and an assistant professor of civil, construction and environmental engineering at NC State. "And while it's been a remarkable accomplishment, there are also opportunities for us to learn how to improve the
    vaccine supply chain. What are the logistical challenges associated
    with transportation and distribution of vaccines for COVID-19? How can
    we study this? What can we learn from it?" "For this work, we focused
    on collecting data regarding vaccine shipment and wastage," says Leila Hajibabai, co-author of the paper and an assistant professor in NC State's Edward P. Fitts Department of Industrial and Systems Engineering. "And
    we're making that data publicly available to encourage the broader
    research community to analyze the data so that we can learn as much from
    it as possible. We also want to inspire other researchers to make their
    data publicly available in a timely manner." "We did some simple analyses
    in this paper to highlight the potential of the data, but we think there
    is much more to be done, and we want to tap into the expertise of other researchers to make the most of this information," says Hajbabaie.

    The researchers collected vaccine shipment data from the Centers for
    Disease Control and Prevention (CDC). This data includes the type of
    vaccine, the amount of vaccine, and the date that each specific shipment
    was sent to each of 47,188 specific vaccination sites, such as clinics, hospitals, pharmacies and doctor's offices.

    The researchers also collected data from the CDC on the amount of
    vaccine that was spoiled and had to be disposed of by awardees. This
    could be because a vial was broken, because it was stored at an
    improper temperature, because it was past its expiration date, and so
    on. Awardees are large-scale entities that are responsible for overseeing specific vaccination sites. There were 92 awardees nationally, and the researchers have wastage data from 58 of them. Examples of awardees
    include individual states, federal entities such as the Department of
    Defense, federal programs such as the Veterans Health Administration,
    and large-scale retailers such as CVS and Walgreens. Wastage data was
    reported on a semi-regular basis -- often daily, but not always.



    ========================================================================== "This data was not made available outside of the CDC until we asked
    for it," Hajbabaie says. "We were only able to get this data due to a collaboration with BuzzFeed, which obtained the data from CDC under a
    FOIA request." This paper includes the shipment and wastage data from
    Jan. 1, 2021 to March 31, 2021.

    "However, we think it is possible that there will be significantly more
    data forthcoming," Hajbabaie says. "For example, the CDC provided us
    with additional shipment data from December 2021. However, we received
    that too recently to include in this paper." "In the paper, we outline
    some directions for future work, such as how to account for vaccine
    hesitancy in order to optimize the supply chain and distribution network
    for vaccination moving forward," Hajibabai says. "For example, we can
    estimate the demand and waste accordingly and make recommendations to seamlessly schedule patients and reduce wastage.

    "But it's not an exhaustive list. While we are continuing to work with
    this data set ourselves, we're sure there are things we haven't thought
    of. That's one of the reasons we think it is important for the research community to make its data publicly available in a timely manner --
    it will allow all of us to make progress on real-world challenges
    more quickly." The paper, "Using COVID-19 Data on Vaccine Shipments
    and Wastage to Inform Modeling and Decision-making," is published open
    access in the journal Transportation Science. The paper was co-authored
    by Dan Vergano of BuzzFeed News and Julie Swann, the department head
    and A. Doug Allison Distinguished Professor of the Fitts Department of Industrial and Systems Engineering at NC State.

    The work was done with support from the National Science Foundation under
    grant number 2124825, and under cooperative agreement number NU38OT000297
    from the CDC and the Council of State and Territorial Epidemiologists.


    ========================================================================== Story Source: Materials provided by
    North_Carolina_State_University. Original written by Matt Shipman. Note: Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Leila Hajibabai, Ali Hajbabaie, Julie Swann, Dan Vergano. Using
    COVID-19
    Data on Vaccine Shipments and Wastage to Inform Modeling
    and Decision- Making. Transportation Science, 2022; DOI:
    10.1287/trsc.2022.1134 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2022/04/220401122136.htm

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