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Demographic and socioeconomic spatial data also are limited   degree of vaccine hesitancy in communities of color. How do
        in that they do not always describe patients’ behavior, for   these concerns get incorporated into models? Can we actually
        example behavior in seeking appropriate services. Enter agent-  model all of the reasons for hesitancy? It seems that Epistemix’s
        based modelling or ABM. ABM is a method of analysis used   FRED model might be the way.
        to simulate macro- and micro-level health system behavior.
        This methodology has been used in a variety of areas of study   Dr. Geraghty said that one of the great benefits Epistemix
                                                                adds to the conversation is the ability to look at a concept
        including transportation, infrastructure investment, and
        public health.                                          like herd immunity geographically and understand that
                                                                different communities have different levels of interaction and
        Epistemix is a new company based on the research of Dr.   movement; we might find that we can achieve herd immunity
        Donald Burke and John Grefenstette. With their colleagues at   with lower vaccination rates in some areas. This is yet to be
        the University of Pittsburgh, they developed the Framework   determined, but the possibility is there, and could lessen
        for Reconstructing Epidemiological Dynamics as an agent-  concerns like vaccine hesitancy and whether there are enough
        based modeling system to predict the progression of disease   distribution sites with appropriate chilling facilities.
        outbreaks.  While the system is not new, the partnership   It will be interesting to see how health departments work
        between ESRI and Epistemix is a little over a year old, and
        seeks to leverage the power of geography and behavioral   through the coming challenges, but collaborations like ESRI
                                                                and  Epistemix  and  the  inclusion  of  the  FRED  modeling
        modeling to understand and manage the spread of disease.
                                                                system may play a significant role in how the public health
                                                                community combats this current global health crisis.
        A timely connection
                                                                Article Sources
        Originally, the researchers were looking at applying the system
        to the spread of measles, but Drs. Geraghty, Burke, and the team   Alboaneen, D.; Pranggono, B.; Alshammari, D.; Alqahtani, N.; Alyaffer,
        quickly realized that FRED was ideal for mapping the spread   R. Predicting the Epidemiological Outbreak of the Coronavirus Disease
        of COVID-19, and understanding issues of herd immunity,   2019 (COVID-19) in Saudi Arabia. Int. J. Environ. Res. Public Health
        vaccine distribution, and the implications of human behavior   2020, 17, 4568. https://www.mdpi.com/752142
        in disease management. Understanding where data gaps exist   Khashoggi, B.F.; Murad, A. Issues of Healthcare Planning and GIS:
        can lead to better, more complete decision-making.      A Review. ISPRS Int. J. Geo-Inf. 2020, 9, 352. https://www.mdpi.

        “We are in such a state of uncertainty,” said Dr. Geraghty.   com/726924
        “Anything that has scientific methodologies and can give us   Jennifer Badham, Edmund Chattoe-Brown, Nigel Gilbert, Zaid
        actionable  insights,  even  if  imperfect,  I  think  is  incredibly   Chalabi, Frank Kee, Ruth F. Hunter, Developing agent-based models
        valuable because we need some level of certainty and clarity   of complex health behaviour, Health & Place, Volume 54, 2018,
        to make decisions.”                                     Pages 170-177, https://doi.org/10.1016/j.healthplace.2018.08.022.
                                                                Cassidy, R., Singh, N.S., Schiratti, PR. et al. Mathematical modelling
        What we know, and where we go                           for health systems research: a systematic review of system dynamics
        from here                                               and agent-based models. BMC Health Serv Res 19, 845 (2019).

        The CDC has already determined how many doses of the vaccine   https://doi.org/10.1186/s12913-019-4627-7
        likely are needed in each state, based on a variety of factors. As we   Reprinted from Dimensions Magazine, Online edition,
        move into the next phase of the COVID-19 event, it won’t be   December 9, 2020
        enough to just map vaccine distribution locations and potential
        populations of need. We also need to understand the surrounding
        environment(s), potential risks, and how populations negotiate
        these factors. Questions raised include:
        •  Those facilities that have cold storage capabilities – are they
          near populations that can actually get to them? If they are,
          do people’s behaviors match?
        •  Are populations at risk likely to take advantage of services?
        Dr. Geraghty pointed out that, in addition to some of these
        general issues around disease spread and appropriately locating
        vaccine distribution sites, there are also particular public health
        challenges when dealing with vaccination, including some

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