"Digital Health Earth": towards a global healthcare management geolocating human health condition by means of space technology
Healthcare providers such as the World Health Organization, transnational and global health initiatives, the national healthcare systems, down to the smallest villages and individual practitioners and professionals could benefit from geo referential data and metadata and 3D digital assets provided by space technology. Health prevention and literacy programs, mortality and morbidity rates, including contextual statistical data about populations and territories are being already produced and accessible. The hypothetical frame of a Digital Health Earth hereto presented could be performed as the interoperability of 3D representations of sectors of territories and geolocalized layers about health and environment. SDG Goals crossed with WHO programs and available data can become the premises for the design and development of a global representation of healthcare situations, highlighting priorities and disseminating data by intuitive and interactive modes of visualization as it is already happening with 2D dashboards about COVID-19 pandemic. Healthcare practitioners, professionals, health managers, but also patients, proxy, social workers, laypeople, stakeholders and media could benefit from visualizing and comparing Digital Earth health data. Concerns about privacy, digital divide and social exclusion from primary care services and how quality of lives might occur are considered here. As a consequence of Space Technology, especially for its connection with the Satellite industry, Digital Health Earth, will contribute to the development of a new added value economic branch inside the increasing market of the Space Economy Revolution.
Anderson K, Ryan B, Sonntag W et al (2017) Earth observation in service of the 2030 agenda for sustainable development. Geo-Spatial Inf Sci 20(2):77–96
Annoni A, Craglia M, Ehlers M et al (2011) A European perspective on Digital Earth. Int J Digit Earth 4(4):271–284
Balk DL, Deichmann U, Yetman G, Pozzi F, Hay SI, and Nelson A (2006) Determining Global Population Distribution: Methods, Applications and Data. Advances in Parasitology 62: 119–156. doi: 10.1016/S0065-308X(05)62004-0
Baturin Y.M. et al. (2020) Digital Earth in Russia. In: Guo H., Goodchild M.F., Annoni A. (eds) Manual of Digital Earth. Springer, Singapore. https://doi.org/10.1007/978-981-32-9915-3_23
Boulos MNK (2004) Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom. Int J Health Geogr 3, 1 doi: https://doi.org/10.1186
Butler D ( 2006) Virtual globes: The Web-wide world. Nature 439:776–778.
Carr-Hill R (2013) Missing Millions and Measuring Development Progress. World Development 46: 30–44. doi: 10.1016/j.worlddev.2012.12.017
Carr-Hill R (2017) Improving Population and Poverty Estimates with Citizen Surveys: Evidence from East Africa. World Development 93: 249–259. doi: 10.1016/j.worlddev.2016.12.017
Chen S (1999) The ‘Digital Earth’ as a global strategy and its master point. J Remote Sens 3(4):247–253
Chen S (2004) Geo-information science and Digital Earth. Science Press and Science Press USA Inc, Beijing
CIESIN (2016) Gridded Population of the World, Version 4 (GPWv4). Center for International Earth Science Information Network. Palisades, NY: Columbia University. URL: http://www.ciesin.columbia.edu/data/gpw-v4 Accessed 30 Dec 2020
CDC.gov (2012) Geography and Geospatial Science Working Group. Cartographic guidelines for public health. URL: https://www.cdc.gov/dhdsp/maps/gisx/resources/cartographic_guidelines.pdf Accessed 30 Dec 2020
Corbane C, Pesaresi M, Politis P, Syrris V, Florczyk AJ, Soille P, Maffenini L, et al (2017) Big Earth Data Analytics on Sentinel-1 and Landsat Imagery in Support to Global Human Settlements Mapping. Big Earth Data, 1–27
Craglia M, de Bie K, Jackson D et al (2012) Digital Earth 2020: towards the vision for the next decade. Int J Digit Earth 5(1):4–21
Cromley EK, McLafferty SL (2012) GIS and Public Health. 2nd ed. New York: The Guilford Press.
De Longueville B, Annoni A, Schade S et al (2010) Digital Earth’s nervous system for crisis events: real-time sensor web enablement of volunteered geographic information. Int J Digit Earth 3(3):242–259
Deichmann U, Balk D, and Yetman G (2001) Transforming Population Data for Interdisciplinary Usages: From Census to Grid. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC), CIESIN, Columbia University.
Doxsey-Whitfield E, MacManus K, Adamo SB, Pistolesi L, Squires J, Borkovska O, and Baptista SR (2015) Taking Advantage of the Improved Availability of Census Data: A First Look at the Gridded Population of the World, Version 4. Papers in Applied Geography 1 (3): 226–234. doi:10.1080/23754931.2015.1014272
Giuliani G, Wang Ch (2019) The Manual of Digital Earth: An open access publication to advance the creation of a Digital Earth. URL: https://earthobservations.org/geo_blog_obs.php?id=398 Accessed 30 Nov 2020
FBK.eu (2020) Covid19 Infodemics Observatory. URL: https://covid19obs.fbk.eu/#/ Accessed 30 Nov 2020
Few S (2006) Information Dashboard Design. O'Reilly. p. 223
Freire S, MacManus K, Pesaresi M, Doxsey-Whitfield E, and Mills J (2016) Development of New Open and Free Multi-temporal Global Population Grids at 250 m Resolution. Proceedings of the 19th AGILE Conference on Geographic Information Science, June 14–17, Helsinki.
Freire S, Schiavina M, Florczyk AJ, MacManus K, Pesaresi M, Corbane C, Borkovska O, Mills J, Pistolesi L, Squires J and Sliuzas R (2020) Enhanced data and methods for improving open and free global population grids: putting ‘leaving no one behind’ into practice. International Journal of Digital Earth, 13:1, 61-77, DOI: 10.1080/17538947.2018.1548656
Gaughan AE, Stevens FR, Linard C, Patel NN, and Tatem AJ (2014) Exploring Nationally and Regionally Defined Models for Large Area Population Mapping. International Journal of Digital Earth. Doi:10.1080/17538947.2014.965761
Georgiadou Y, Kounadi O, de By RA (2020) Digital Earth Ethics. In: Guo H., Goodchild M.F., Annoni A. (eds) Manual of Digital Earth. Springer, Singapore. https://doi.org/10.1007/978-981-32-9915-3_25
Geospatialworld.net (2018) Adopt GIS, Be healthier. URL: https://www.geospatialworld.net/blogs/adopt-gis-be-healthier/ Accessed 30 Dec 2020
Geraghty, E. & Frye, C. (2020) COVID-19: The First Global Pandemic of the Information Age, Esri, 22 June https://storymaps.arcgis.com/stories/a5190c7fd6db422f9a1bab6dac024b99
Goodchild MF (1999) Implementing Digital Earth: a research agenda. In: Xu G, Chen Y (eds) Towards Digital Earth: proceedings of the International Symposium on Digital Earth. Science Press, Beijing, pp. 21–26
Goodchild MF (2000) Discrete global grids for Digital Earth. In: Proceedings of 1st international conference on discrete global grids, Citeseer, California, Santa Barbara, pp 26–28
Goodchild MF (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69(4):211–221
Goodchild MF, Guo H, Annoni A, et al (2012) Next-generation Digital Earth. Proc Natl Acad Sci U S A. 109(28):11088-11094. doi:10.1073/pnas.1202383109
Goodchild MF (2007) Citizens as sensors: The world of volunteered geography. GeoJournal. 69:211–221
Goodchild MF (2008) The use cases of digital earth. Int J Digital Earth. 1:17–30.
Gore A (1992) Earth in the balance: ecology and the human spirit. Houghton Mifflin, Boston
Guo H, Liu Z, Jiang H et al (2017) Big earth data: a new challenge and opportunity for Digital Earth’s development. Int J Digit Earth 10(1):1–12
Guo H, Wang L, Chen F et al (2014) Scientific Big Data and Digital Earth. Chin Sci Bull 59(12):1047–1054
Hay SI, Noor AM, Nelson A, and Tatem AJ (2005) The Accuracy of Human Population Maps for Public Health Application. Tropical Medicine & International Health 10 (10): 1073–1086. doi:10.1111/j.1365-3156.2005.01487.x.
He G, Wang G, Long T et al (2018b) Opening and sharing of big earth observation data: challenges and countermeasures. Bull Chin Acad Sci 33(8):783–790
Heipke C (2010) Crowdsourcing geospatial data. ISPRS J Photogramm Remote Sens 65(6):550–557
Hey AJG, Tansley S, Tolle KM (2009) The Fourth Paradigm: Data-Intensive Scientific Discovery. Redmond, WA: Microsoft Research.
ICAO (2020) Effects of Novel Coronavirus (COVID-19) on Civil Aviation. Technical report, International Civil Aviation Organisation. URL: https://www.icao.int/sustainability/Documents/Covid-19/ICAO_coronavirus_Econ_Impact.pdf Accessed 30 Dec 2020
Ienca M, Ferretti A, Hurst S, Puhan M, Lovis C, and Vayena E (2018) Considerations for ethics review of big data health research: A scoping review. PloS one, 13(10), e0204937. DOI: https://doi.org/10.1371/journal.pone.0204937
ISDE (2012) Statutes of the International Society for Digital Earth. URL: http://www.digitalearth-isde.org/statues. Accessed 07 Oct 2020
ISDE (2014) About ISDE. URL: http://www.digitalearth-isde.org/society/54 Accessed 07 Oct 2020
Jackson D, Simpson R (2020) Digital City: An Urban Perspective on Digital Earth. In: Guo H., Goodchild M.F., Annoni A. (eds) Manual of Digital Earth. Springer, Singapore. https://doi.org/10.1007/978-981-32-9915-3_16
Jomehzadeh N, Moosavian M, Saki M, Rashno M (2019) Legionella and legionnaires' disease: An overview. J Acute Des. 8(6): 221-232 DOI: 10.4103/2221-6189.272853
Leyk S, Uhl J, Balk D, and Jones B (2018) Assessing the Accuracy of Multi-temporal Built-up Land Layers Across Rural-urban Trajectories in the United States. Remote Sensing of Environment 204: 898–917. DOI: 10.1016/j.rse.2017.08.035
Linard C, and Tatem A (2012) Large-scale Spatial Population Databases in Infectious Disease Research. International Journal of Health Geographics 11: 7. DOI: 10.1186/1476-072X-11-7
Liu Z, Foresman T, van Genderen J, Wang L (2020) Understanding Digital Earth. In: Guo H., Goodchild M., Annoni A. (eds) Manual of Digital Earth. Springer, Singapore
Melchiorri M, Florczyk AJ, Freire S, Schiavina M, Pesaresi M, and Kemper T (2018) Unveiling 25 Years of Planetary Urbanization with Remote Sensing: Perspectives from the Global Human Settlement Layer. Remote Sensing 10 (5): 768. DOI: 10.3390/rs10050768
Milne RJ, Kelly AR (2014) A new method for boarding passengers onto an airplane. Journal of Air Transport Management 2014, 34, 93–100. DOI:10.1016/j.jairtraman.2013.08.006
Milne RJ, Salari M (2016) Optimization of assigning passengers to seats on airplanes based on their carry-on luggage. Journal of Air Transport Management, 54, 104–110. DOI:10.1016/j.jairtraman.2016.03.022
Pesaresi M, Ehrlich D, Florczyk AJ, Freire S, Julea A, Kemper T, Soille P, and Syrris V (2015a) GHS Built-up Grid, Derived from Landsat, Multitemporal (1975, 1990, 2000, 2014). European Commission, Joint Research Centre (JRC) [Dataset] PID. http://data.europa.eu/89h/jrc-ghsl-ghs_built_ldsmt_globe_r2015b
Pesaresi M, Ehrlich D, Ferri S, Florczyk A, Freire S, Halkia S, Andreea MJ, Kemper T, Soille P, and Syrris V (2016) Operating Procedure for the Production of the Global Human Settlement Layer from Landsat Data of the Epochs 1975, 1990, 2000, and 2014. EUR – Scientific and Technical Research Reports. Publications Office of the European Union. JRC97705. URL: http://publications.jrc.ec.europa.eu/repository/handle/111111111/40182 Accessed 30 Dec 2020
Qiang SJ, Jia B, Xie DF, Gao ZY (2014) Reducing airplane boarding time by accounting for passengers’ individual properties: A simulation based on cellular automaton. Journal of Air Transport Management 40, 42–47. DOI:10.1016/j.jairtraman.2014.05.007.
Rushton G, Armstrong MP, Gittler J, et al (2008) Geocoding Health Data: The Use of Geographic Codes in Cancer Prevention and Control, Research and Practice. Boca Raton, FL: CRC Press.
Schultz M, Soolaki M (2020) Analytical approach to solve the problem of aircraft passenger boarding during coronavirus pandemic 1-19
Shupeng C, and van Genderen J (2008) Digital Earth in Support of Global Change Research. International Journal of Digital Earth 1 (1): 43–65. DOI:10.1080/17538940701782510
Tangcharoensathien V, Calleja N, Nguyen T, Purnat T, D’Agostino M, Garcia-Saiso S, Landry M, Rashidian A, Hamilton C, AbdAllah A, Ghiga I, Hill A, Hougendobler D, van Andel J, Nunn M, Brooks I, Sacco PL, De Domenico M, Mai P, Gruzd A, Alaphilippe A, Briand S (2020) Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation J Med Internet Res 22(6):e19659
Turner A (2006) Introduction to Neogeography. O'Reilly Media. p. 54
UN ECOSOC (2016) Report of the Inter-agency and Expert Group on Sustainable Development Goal Indicators. UN Economic and Social Council Statistical Commission 47th Session, E/CN.3/2016/2/Rev.1
UNDESA (2016) Sustainable Development Goals. United Nations Department of Economic and Social Affairs, Department of Economic and Social Affairs. URL: https://sustainabledevelopment.un.org/sdgs Accessed 30 Dec 2020
UNISDR (2015) Sendai Framework for Disaster Risk Reduction 2015–2030. United Nations International Strategy for Disaster Reduction. URL: http://www.wcdrr.org/uploads/Sendai_Framework_for_Disaster_Risk_Reduction_2015-2030.pdf Accessed 30 Dec 2020
Waller LA, Gotway CA (2004) Applied Spatial Statistics for Public Health Data. Hoboken, NJ: John Wiley and Sons.
WHO (2020) COVID -19 Preparedness and response progress report. 1 February to 30 June 2020
WHO.int (1948) WHO remains firmly committed to the principles set out in the preamble to the Constitution URL: https://www.who.int/about/who-we-are/constitution Accessed 30 Nov 2020
WHO.int (2020a) WHO Coronavirus Disease (COVID-19) Dashboard. URL: https://covid19.who.int Accessed 30 Nov 2020
WHO.int (2020b) World Health Statistics. The Global Health Observatory. URL: https://www.who.int/gho/publications/world_health_statistics/2020/en/ Accessed 30 Nov 2020
WHO.int (2020c) Thirteenth General Programme of Work 2019−2023. URL: https://www.who.int/about/what-we-do/thirteenth-general-programme-of-work-2019---2023 Accessed 30 Nov 2020
Yu L, Gong P (2012) Google Earth as a virtual globe tool for Earth science applications at the global scale. International Journal of Remote Sensing 33(12):3966-3986 DOI: 10.1080/01431161.2011.636081
Zeineddine H (2017) A dynamically optimized aircraft boarding strategy. Journal of Air Transport Management 58, 144–151. DOI:10.1016/j.jairtraman.2016.10.010