key: cord-0945329-szb3a7i4 authors: Caspi, Gil; Chen, Jacob; Liverant-Taub, Sigal; Shina, Avi; Caspi, Oren title: Heat maps for surveillance and prevention of COVID-19 spread in nursing homes and assisted living facilities date: 2020-05-25 journal: J Am Med Dir Assoc DOI: 10.1016/j.jamda.2020.05.048 sha: b08f595136df452f0f767e127af174cbf64272aa doc_id: 945329 cord_uid: szb3a7i4 nan The pandemic has placed our elders at a formidable risk since age is the most significant risk 4 factor for severe morbidity and mortality [1] [2] [3] [4] . Consequently, some of the most challenging 5 situations occur in nursing homes (NHs) and assisted living facilities considered hotspots for 6 COVID-19. 7 In Israel, NHs and assisted living facilities were some of the hardest hit by COVID-19 5 . 8 Henceforth, a national task force appointed by the Israeli Prime minister named "Shield of 9 Fathers and Mothers", was appointed. 10 In order to aid the task force, we devised a novel, interactive, real-time, dashboard-based heat 11 map tool based on COVID-19 outbreak analytic metrics as well as spatiotemporal data analytics 12 (http://covid19maps.org/). We developed a novel platform, focused on assisted living facilities 13 and NHs, providing the Israeli Ministry of Health (MOH) policymakers with a national graphical 14 representation of all institutes (passkey protected to secure privacy issues). A basic layer, allows 15 to identify all facilities with diagnosed cases (resident or staff) by rendering them as "warm" ( 16 red color) if a positive COVID-19 case was identified within an interactive last n days (e.g. last 17 14 days as a default for the system) or "cold" (blue color) displayed in Figure 1A . Importantly, in 18 addition to basic layer that allow to represent the quantity of the diagnosed cases (displayed as 19 circle-size in the current platform), a key novelty of the developed platform is the ability to 20 follow and intuitively display the trajectories within the facilities where cases were identified. The trajectories can be followed by using a set of mathematical analytic algorithms of evaluating The heat map allows policy makers to make informed decisions by displaying vital information 89 in an easily understandable fashion. Figure 1A Risk factors for mortality in 244 older adults with COVID-64 19 in Wuhan, China: a retrospective study An interactive web-based dashboard to track COVID-19 in real time. The Lancet infectious diseases Temperature and Latitude Analysis to Predict Potential Spread and Seasonality for COVID-19 SSRN A practical generation-interval-based approach to inferring the strength of epidemics from their speed All authors have no conflicts of interests regarding the research. The map displays real time COVID-19 disease spread metrics based on data derived from Johns Hopkins University and Israel ministry of health datasets 1 .