Learning from COVID-19: GIS for Pandemics
Now that the health community is in a state of reflection, how do we put the lessons learned into practice? As we step back to examine the worldwide response to the COVID-19 pandemic, now is the time to think about how to raise the bar for our response to the next public health emergency. Now is the...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Redlands
Esri Press
2022
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Schriftenreihe: | Applying GIS
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Schlagworte: | |
Zusammenfassung: | Now that the health community is in a state of reflection, how do we put the lessons learned into practice? As we step back to examine the worldwide response to the COVID-19 pandemic, now is the time to think about how to raise the bar for our response to the next public health emergency. Now is the time to revisit health preparedness strategies and plans. And now is the time to review what the health community did that worked―and how we can do that again. Learning from COVID-19: GIS for Pandemics tells real-life stories about how spatial thinking became invaluable in both local and full-scale outbreaks during the COVID-19 pandemic. Needing to answer the question of "where" sat at the forefront of everyone’s mind, and using a geographic information system (GIS) for real-time surveillance transformed possibly overwhelming data into location intelligence that provided agencies and civic leaders with valuable insights. Co-edited by Esri chief medical officer Dr. Este Geraghty, this book highlights best practices, key GIS capabilities, and lessons learned during the COVID-19 response that can help communities prepare for the next crisis. GIS has empowered: Organizations to use human mobility data to estimate the adherence to social distancing guidelines Communities to monitor their health care systems’ capacity through spatially enabled surge tools Governments to use location-allocation methods to site new resources (i.e., testing sites and augmented care sites) in ways that account for at-risk and vulnerable populations Communities to use maps and spatial analysis to review case trends at local levels to support reopening of economies Organizations to think spatially as they consider "back-to-the-workplace" plans that account for physical distancing and employee safety needs Learning from COVID-19 also includes a "next steps" section that provides ideas, strategies, tools, and actions to help jump-start your own use of GIS, either as a citizen |
Beschreibung: | xv, 184 Seiten Illustrationen |
ISBN: | 1589487117 9781589487116 |
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520 | 3 | |a Now that the health community is in a state of reflection, how do we put the lessons learned into practice? As we step back to examine the worldwide response to the COVID-19 pandemic, now is the time to think about how to raise the bar for our response to the next public health emergency. Now is the time to revisit health preparedness strategies and plans. And now is the time to review what the health community did that worked―and how we can do that again. Learning from COVID-19: GIS for Pandemics tells real-life stories about how spatial thinking became invaluable in both local and full-scale outbreaks during the COVID-19 pandemic. Needing to answer the question of "where" sat at the forefront of everyone’s mind, and using a geographic information system (GIS) for real-time surveillance transformed possibly overwhelming data into location intelligence that provided agencies and civic leaders with valuable insights. Co-edited by Esri chief medical officer Dr. Este Geraghty, this book highlights best practices, key GIS capabilities, and lessons learned during the COVID-19 response that can help communities prepare for the next crisis. GIS has empowered: Organizations to use human mobility data to estimate the adherence to social distancing guidelines Communities to monitor their health care systems’ capacity through spatially enabled surge tools Governments to use location-allocation methods to site new resources (i.e., testing sites and augmented care sites) in ways that account for at-risk and vulnerable populations Communities to use maps and spatial analysis to review case trends at local levels to support reopening of economies Organizations to think spatially as they consider "back-to-the-workplace" plans that account for physical distancing and employee safety needs Learning from COVID-19 also includes a "next steps" section that provides ideas, strategies, tools, and actions to help jump-start your own use of GIS, either as a citizen | |
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illustrated | Illustrated |
index_date | 2024-07-03T19:09:55Z |
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institution | BVB |
isbn | 1589487117 9781589487116 |
language | English |
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physical | xv, 184 Seiten Illustrationen |
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series2 | Applying GIS |
spelling | Learning from COVID-19 GIS for Pandemics edited by Este Geraghty (MD), Matt Artz Redlands Esri Press 2022 xv, 184 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Applying GIS Now that the health community is in a state of reflection, how do we put the lessons learned into practice? As we step back to examine the worldwide response to the COVID-19 pandemic, now is the time to think about how to raise the bar for our response to the next public health emergency. Now is the time to revisit health preparedness strategies and plans. And now is the time to review what the health community did that worked―and how we can do that again. Learning from COVID-19: GIS for Pandemics tells real-life stories about how spatial thinking became invaluable in both local and full-scale outbreaks during the COVID-19 pandemic. Needing to answer the question of "where" sat at the forefront of everyone’s mind, and using a geographic information system (GIS) for real-time surveillance transformed possibly overwhelming data into location intelligence that provided agencies and civic leaders with valuable insights. Co-edited by Esri chief medical officer Dr. Este Geraghty, this book highlights best practices, key GIS capabilities, and lessons learned during the COVID-19 response that can help communities prepare for the next crisis. GIS has empowered: Organizations to use human mobility data to estimate the adherence to social distancing guidelines Communities to monitor their health care systems’ capacity through spatially enabled surge tools Governments to use location-allocation methods to site new resources (i.e., testing sites and augmented care sites) in ways that account for at-risk and vulnerable populations Communities to use maps and spatial analysis to review case trends at local levels to support reopening of economies Organizations to think spatially as they consider "back-to-the-workplace" plans that account for physical distancing and employee safety needs Learning from COVID-19 also includes a "next steps" section that provides ideas, strategies, tools, and actions to help jump-start your own use of GIS, either as a citizen Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf COVID-19 (DE-588)1206347392 gnd rswk-swf Visualisierung (DE-588)4188417-6 gnd rswk-swf Epidemiologie (DE-588)4015016-1 gnd rswk-swf Public health Epidemiologie (DE-588)4015016-1 s Geoinformationssystem (DE-588)4261642-6 s COVID-19 (DE-588)1206347392 s Visualisierung (DE-588)4188417-6 s Datenverarbeitung (DE-588)4011152-0 s DE-188 Geraghty, Este edt Artz, Matt (DE-588)1298834139 edt |
spellingShingle | Learning from COVID-19 GIS for Pandemics Datenverarbeitung (DE-588)4011152-0 gnd Geoinformationssystem (DE-588)4261642-6 gnd COVID-19 (DE-588)1206347392 gnd Visualisierung (DE-588)4188417-6 gnd Epidemiologie (DE-588)4015016-1 gnd |
subject_GND | (DE-588)4011152-0 (DE-588)4261642-6 (DE-588)1206347392 (DE-588)4188417-6 (DE-588)4015016-1 |
title | Learning from COVID-19 GIS for Pandemics |
title_auth | Learning from COVID-19 GIS for Pandemics |
title_exact_search | Learning from COVID-19 GIS for Pandemics |
title_exact_search_txtP | Learning from COVID-19 GIS for Pandemics |
title_full | Learning from COVID-19 GIS for Pandemics edited by Este Geraghty (MD), Matt Artz |
title_fullStr | Learning from COVID-19 GIS for Pandemics edited by Este Geraghty (MD), Matt Artz |
title_full_unstemmed | Learning from COVID-19 GIS for Pandemics edited by Este Geraghty (MD), Matt Artz |
title_short | Learning from COVID-19 |
title_sort | learning from covid 19 gis for pandemics |
title_sub | GIS for Pandemics |
topic | Datenverarbeitung (DE-588)4011152-0 gnd Geoinformationssystem (DE-588)4261642-6 gnd COVID-19 (DE-588)1206347392 gnd Visualisierung (DE-588)4188417-6 gnd Epidemiologie (DE-588)4015016-1 gnd |
topic_facet | Datenverarbeitung Geoinformationssystem COVID-19 Visualisierung Epidemiologie |
work_keys_str_mv | AT geraghtyeste learningfromcovid19gisforpandemics AT artzmatt learningfromcovid19gisforpandemics |