{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T14:15:09Z","timestamp":1788531309274,"version":"build-2803163510"},"reference-count":116,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Med Inform"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The growing need for and interest in geomatics in the medical sector, as well as the pandemic crisis, led us to create a France-wide geomatics project aimed at producing several atlases of all-cause mortality at the municipal and submunicipal district levels via uMap France, a free and open-source collaborative map-sharing platform. In 2020, we decided to circumvent the obstacle of accessing detailed COVID-19 data by adopting a mortality-based approach to map the consequences of the crisis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The aim of the uMap study was to provide a webmapping platform with original visualization and knowledge as well as decision-making aids that complement existing information and are relevant to public and health care professionals. Our main hypotheses were as follows: (1) The medical sector could develop a private uMap platform dedicated to health; (2) interest in a municipal mortality atlas for France linked to the pandemic crisis will increase, even if it is produced after the pandemic; and (3) sharing the atlases with the uMap community will enhance their appeal and inspire the creation of similar atlases, owing to the new \u201cexperimental choropleth layer\u201d recently developed by the uMap team.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This approach focused on 3 main parts\u2014data management (data collection, cleansing, and scheduling) and geomatic engineering through a 2-step geomatic action plan to create atlases of the first lockdown period in France displayed on the uMap platform. A logarithmically transformed variable allowed us to obtain an immediate statistical signal of excess mortality or submortality via the Traffic-Light Atlas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The uMap Traffic-Light Atlas display provides instant statistical signals at a glance, owing to the semantic interplay of colors. The atlas\u2019s double legends make it easy to compare specific regions (northeast, northwest, southeast, and southwest) with all of France. The atlas revealed excess mortality in 41.7% (14,503\/34,833) of the municipalities. Of the municipalities, 35% (12,198\/34,833) were in the green class (close to average to 2 times the average), 5% (1724\/34,833) were in the orange class (2\u20104 times the average), and 1.7% (581\/34,833) were in the red class (4\u201011 times higher than average).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>We innovated, enriched, and reinforced the value of uMap for visual rendering by instantiating colored choropleth map atlases and double legends and showed its relevance to the health care sector. We focused on the Traffic-Light Atlas, which is the most relevant aspect because of the instant message it conveys and its interpretability for all audiences. The uMap community can share our all-cause mortality atlases. A second version of the atlas encompassing 4 periods in 2020 and containing a minor error will be updated using either the \u201cexperimental choropleth layer\u201d feature recently developed by the uMap team or, if this feature proves insufficient, the geomatic optimization process via the R project.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/82855","type":"journal-article","created":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T14:30:08Z","timestamp":1782138608000},"page":"e82855-e82855","source":"Crossref","is-referenced-by-count":0,"title":["Relevance of the uMap Collaborative Platform as Support for Choropleth Mapping of a Traffic-Light Statistical Signal Atlas of All-Cause Mortality During the First French Lockdown: Geospatial Analysis"],"prefix":"10.2196","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1038-7344","authenticated-orcid":false,"given":"Anne","family":"Quesnel-Barbet","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6075-7633","authenticated-orcid":false,"given":"Thierry","family":"Pages","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0875-7713","authenticated-orcid":false,"given":"Julien","family":"Soula","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2017-3972","authenticated-orcid":false,"given":"Gilles","family":"Maignant","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7029-2318","authenticated-orcid":false,"given":"Arnaud","family":"Hansske","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,8,27]]},"reference":[{"key":"R1","doi-asserted-by":"crossref","unstructured":"Quesnel-Barbet A Pag\u00e8s T Soula J Maignant G Hansske A . 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URL: https:\/\/polesat.ghicl.net\/ [Accessed 05-06-2025]"},{"key":"R8","unstructured":"Rougerie P . Coronavirus: why the errors in counting deaths in nursing homes? Le Parisien. 2020. URL: https:\/\/www.leparisien.fr\/societe\/coronavirus-pourquoi-ces-erreurs-dans-les-decomptes-des-deces-en-ehpad-20-05-2020-8320674.php [Accessed 27-05-2025]"},{"key":"R9","unstructured":"Javey N . COVID-19 in Belgium: 68 municipalities have reached the alert threshold (set at 20 new infections per week per 100,000 inhabitants). France3 Regions, France Info. URL: https:\/\/france3-regions.francetvinfo.fr\/hauts-de-france\/covid-19-belgique-soixante-communes-ont-atteint-seuil-alerte-1856270.html?fbclid=IwAR2eSX_aVs1rPn7qLU_ZiNKPos0_XVl_q4IRmAy5seknZaLFu0AHn93Q2fE#xtor=EPR-521-[france3regions]-20200723-[info-titre1]&pid=726375-1583524212-a50ad1ea [Accessed 27-05-2025]"},{"key":"R10","unstructured":"Fr\u00e9mont AL . COVID-19: what France\u2019s 150 clusters reveal about the epidemic. Le Figaro. 2020. 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University of Saint-Etienne. 2025. URL: https:\/\/www.univ-st-etienne.fr\/wikimastersig\/doku.php\/english:glossary:webmapping [Accessed 23-05-2025]"},{"key":"R16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2021.104400","article-title":"Real-time spatial health surveillance: mapping the UK COVID-19 epidemic","volume":"149","author":"Fry","journal-title":"Int J Med Inform"},{"key":"R17","unstructured":"Quesnel-Barbet A Pag\u00e8s T Soula J Maignant G Hansske A . uMap atlas - over- or undermortality 2020 expressed by the variable SMM_10,000 inhabs French atlas monitoring all-cause mortality (health crisis - SARS COV-2) First French lockdown period: March 1 to May 15, 2020 inclusive. uMap OpenStreetMap. 2023. URL: https:\/\/umap.openstreetmap.fr\/en\/map\/polesatatlasmortalite2020_smm10000_v1_586566#6\/46.793\/7.383 [Accessed 26-05-2025]"},{"key":"R18","unstructured":"Quesnel-Barbet A Pag\u00e8s T Soula J Maignant G Hansske A . uMap atlas - over- or undermortality 2020 expressed by the variable DENSI (a raw chi square) compared to the national average French atlas monitoring all-cause mortality (health crisis - SARS COV-2) first French lockdown period: March 1 to May 15, 2020 inclusive. uMap OpenStreetMap. 2023. URL: https:\/\/umap.openstreetmap.fr\/en\/map\/polesatatlasmortalite2020_densi_v1_1231854 [Accessed 28-05-2025]"},{"key":"R19","unstructured":"IGN. ADMIN-EXPRESS-COG 2020 edition by territory: the administrative division of the french territory (municipality, departmental district, department, region). Cartes.gouv.fr. 2020. URL: https:\/\/geoservices.ign.fr\/adminexpress [Accessed 27-05-2025]"},{"key":"R20","unstructured":"Lexman A . Carte des d\u00e9partements. datagouv. 2019. URL: https:\/\/www.data.gouv.fr\/fr\/datasets\/carte-des-departements-2-1"},{"key":"R21","unstructured":"Lexman A . Carte des r\u00e9gions fran\u00e7aises (nouvelles r\u00e9gions de 2016). datagouv. 2020. URL: https:\/\/www.data.gouv.fr\/datasets\/carte-des-regions-francaises-nouvelles-regions-de-2016 [Accessed 28-07-2026]"},{"key":"R22","unstructured":"OpenStreetMap. Localisation des services hospitaliers de r\u00e9animation. datagouv. 2020. URL: https:\/\/www.data.gouv.fr\/fr\/datasets\/localisation-des-services-hospitaliers-de-reanimation\/ [Accessed 28-07-2026]"},{"key":"R23","unstructured":"Switching off geo.data.gouv.fr datasets- France - emergency medicine and authorizations. datagouv. 2020. URL: https:\/\/www.data.gouv.fr\/fr\/posts\/extinction-de-geo-data-gouv-fr [Accessed 28-07-2026]"},{"key":"R24","unstructured":"OpenStreetMap. Localisation des services d\u2019accueil des urgences. datagouv. 2020. 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URL: http:\/\/philcarto.free.fr\/indexEN.html [Accessed 28-07-2026]"},{"key":"R35","unstructured":"Waniez P . Philcarto: Eclats utility. Philcarto. URL: http:\/\/philcarto.free.fr\/02_telecharger_logiciels_nouveaux_2022\/02_1_telecharger_2022.html [Accessed 07-08-2026]"},{"key":"R36","unstructured":"Bloch M . Mapshaper: tools for editing shapefile, geoJSON, topoJSON and CSV files. GitHub. 2014. URL: https:\/\/github.com\/mbloch\/mapshaper [Accessed 28-07-2026]"},{"key":"R37","unstructured":"MacWright T Whong C . GeoJSON file editor: geojson.io. GitHub. 2022. URL: https:\/\/github.com\/mapbox\/geojson.io [Accessed 28-07-2026]"},{"key":"R38","unstructured":"XnConvert v 1.98 - Windows x64. XnView Software. URL: https:\/\/newsgroup.xnview.com\/viewforum.php?f=79 [Accessed 07-08-2026]"},{"key":"R39","unstructured":"XnApps. XnView. URL: https:\/\/www.xnview.com\/fr\/about\/ [Accessed 28-07-2026]"},{"key":"R40","unstructured":"IrfanView. URL: https:\/\/www.irfanview.com [Accessed 28-07-2026]"},{"key":"R41","unstructured":"Photoshop. Adobe. URL: https:\/\/photoshop.adobe.com\/ [Accessed 28-07-2026]"},{"key":"R42","unstructured":"Paint v 112301220 ed. Microsoft. URL: https:\/\/support.microsoft.com\/fr-fr\/windows\/aide-de-paint-d62e155a-1775-6da4-0862-62a3e9e5a511 [Accessed 07-08-2026]"},{"key":"R43","unstructured":"PaintNET. URL: https:\/\/www.paint.net [Accessed 28-07-2026]"},{"key":"R44","unstructured":"Visual Basic for Applications. Wikipedia. URL: https:\/\/en.wikipedia.org\/wiki\/Visual_Basic_for_Applications [Accessed 27-05-2025]"},{"key":"R45","unstructured":"Open source developer-friendly spreadsheet library compatible with Microsoft Excel 2007\/2010\/2013 and LibreOffice Calc. SpreadsheetLight. URL: https:\/\/spreadsheetlight.com [Accessed 28-07-2026]"},{"key":"R46","unstructured":"What\u2019s the difference between domain names and web hosting? Hostinger. 2025. URL: https:\/\/www.hostinger.fr\/tutoriels\/nom-de-domaine-et-hebergement#Quelle_est_la_difference_entre_nom_de_domaine_et_hebergement_web [Accessed 27-05-2025]"},{"key":"R47","unstructured":"2018 review: OSM France services. OpenStreetMap France. 2019. URL: https:\/\/www.openstreetmap.fr\/revue-2018-les-services-osm-france [Accessed 26-05-2025]"},{"key":"R48","unstructured":"WTFPL. Wikipedia. URL: https:\/\/en.wikipedia.org\/wiki\/WTFPL [Accessed 27-05-2025]"},{"key":"R49","unstructured":"Google Earth. Google. URL: https:\/\/earth.google.com [Accessed 28-07-2026]"},{"key":"R50","unstructured":"uMap & Framacarte forum topics. OpenStreetMap France. 2022. URL: https:\/\/forum.openstreetmap.fr\/c\/utiliser\/umap\/29 [Accessed 27-05-2025]"},{"key":"R51","unstructured":"Geo Data Viewer. Visual Studio Marketplace. https:\/\/marketplace.visualstudio.com\/items?itemName=RandomFractalsInc.geo-data-viewer; [Accessed 28-07-2026]"},{"key":"R52","unstructured":"Schindelin J Oliff C Xhmikos R . Git for Windows. GitHub. 2014. URL: https:\/\/github.com\/git-for-windows [Accessed 12-08-2026]"},{"key":"R53","unstructured":"Keyhole Markup Language. Wikipedia. URL: https:\/\/en.wikipedia.org\/wiki\/Keyhole_Markup_Language [Accessed 27-05-2025]"},{"key":"R54","unstructured":"SVG Working Group specifications. GitHub. URL: https:\/\/github.com\/w3c\/svgwg [Accessed 28-07-2026]"},{"key":"R55","doi-asserted-by":"crossref","unstructured":"Butler H Daly M Doyle A Gillies S Hagen S Schaub T . RFC 7946: The GeoJSON Format. RFC Editor. 2016. URL: https:\/\/www.rfc-editor.org\/info\/rfc7946\/ [Accessed 28-07-2026]","DOI":"10.17487\/RFC7946"},{"key":"R56","unstructured":"GeoJSON. URL: https:\/\/geojson.org [Accessed 27-05-2025]"},{"key":"R57","unstructured":"OGC. International Organization for Standardization (ISO). URL: https:\/\/www.iso.org\/organization\/9825.html [Accessed 26-05-2025]"},{"key":"R58","unstructured":"AFNOR. International Organization for Standardization (ISO). URL: https:\/\/www.iso.org\/organization\/1738.html [Accessed 26-05-2025]"},{"key":"R59","unstructured":"EPSG:4326. EPSGIO. URL: https:\/\/epsg.io\/4326 [Accessed 26-05-2025]"},{"key":"R60","unstructured":"Shapefile or Geopackage: which format to choose? GEOMA-SIG. URL: https:\/\/geoma-sig.com\/?s=shapefile [Accessed 28-07-2026]"},{"key":"R61","unstructured":"Dougherty J Ilyankou I . Geospatial Data and GeoJSON. Hands-On Data Visualization. URL: https:\/\/handsondataviz.org\/geojson.html [Accessed 20-08-2024]"},{"key":"R62","unstructured":"17.17. Starting with the model designer. QGIS Documentation. URL: https:\/\/docs.qgis.org\/3.28\/fr\/docs\/training_manual\/processing\/modeler_twi.html [Accessed 27-05-2025]"},{"key":"R63","unstructured":"How do I monitor my computer? Grafikart. 2023. URL: https:\/\/grafikart.fr\/blog\/veille-grafikart-organique [Accessed 27-05-2025]"},{"key":"R64","unstructured":"GIMP: GNU image manipulation program. GIMP. URL: https:\/\/www.gimp.org [Accessed 28-07-2026]"},{"key":"R65","unstructured":"Inkscape. GitHub. URL: https:\/\/github.com\/inkscape [Accessed 28-07-2026]"},{"key":"R66","unstructured":"Pakin S . Simple Inkscape scripting. Inkscape. 2021. URL: https:\/\/inkscape.org\/~pakin\/%E2%98%85simple-inkscape-scripting [Accessed 27-05-2025]"},{"key":"R67","unstructured":"Mapbox. GitHub. URL: https:\/\/github.com\/mapbox [Accessed 28-07-2026]"},{"issue":"39","key":"R68","doi-asserted-by":"publisher","DOI":"10.1186\/1476-072X-5-39","article-title":"Exploring the role of GIS during community health assessment problem solving: experiences of public health professionals","volume":"5","author":"Scotch","journal-title":"Int J Health Geogr"},{"key":"R69","unstructured":"Quesnel-Barbet A Pages T Soula J Maignant G Hansske A . Public repository for generating GeoJSON files - Fig 3a. CERIM laboratory at the University of Lille. 2026. URL: https:\/\/thymine.univ-lille.fr\/PoleSat_mortality_atlas\/MultimediaAppendices\/MA-SF_GeoJSON_Fig3a.zip [Accessed 24-02-2026]"},{"key":"R70","unstructured":"Quesnel-Barbet A Pages T Soula J Maignant G Hansske A . Public repository for generating GeoJSON files - Fig 3b. CERIM laboratory at the University of Lille. 2026. URL: https:\/\/thymine.univ-lille.fr\/PoleSat_mortality_atlas\/MultimediaAppendices\/MA-SF_GeoJSON_Fig3b.zip [Accessed 24-02-2026]"},{"key":"R71","unstructured":"Giraud T . Tuto@Mate shs Thimotee Giraud Package R Cartography. Mate-shs YouTube page. 2018. URL: https:\/\/www.youtube.com\/watch?v=OI3_AOg6pfc&t=129s [Accessed 27-05-2025]"},{"key":"R72","unstructured":"Quesnel-Barbet A Pages T Soula J Maignant G Hansske A . Public repository for generating double legend files - Fig 7. CERIM laboratory at the University of Lille. 2026. URL: https:\/\/thymine.univ-lille.fr\/PoleSat_mortality_atlas\/MultimediaAppendices\/MA-SF_DoubleLegend_Fig7.zip [Accessed 24-02-2026]"},{"key":"R73","unstructured":"Giraud T Hernang\u00f3mez D Pecout H Ysebaert R Fellows I Lemon J et al. mapsf. GitHub. 2021. URL: https:\/\/riatelab.github.io\/mapsf\/ [Accessed 29-07-2026]"},{"key":"R74","unstructured":"Giraud T Lambert N . cartography. GitHub. 2017. URL: https:\/\/riatelab.github.io\/cartography\/ [Accessed 29-07-2026]"},{"key":"R75","unstructured":"Waniez P . Philcarto 2020 quick start guide in 11 lessons for beginners. Philcarto. 2020. URL: http:\/\/philcarto.free.fr\/02_telecharger_logiciels\/02_1_telecharger_philcarto\/fichiers_installer_philcarto\/PhilcartoGuideDemarrage.zip [Accessed 29-07-2026]"},{"key":"R76","unstructured":"What is a data pipeline? IBM. 2024. URL: https:\/\/www.ibm.com\/topics\/data-pipeline [Accessed 26-05-2025]"},{"key":"R77","unstructured":"What is a data pipeline and how does it work? Definition of a data pipeline. Talend Corp. 2022. URL: https:\/\/www.talend.com\/fr\/resources\/what-is-a-data-pipeline\/#:~:text=Un%20pipeline%20de%20donn%C3%A9es%20englobe,donn%C3%A9es%20pr%C3%AAtes%20%C3%A0%20%C3%AAtre%20exploit%C3%A9es [Accessed 26-05-2025]"},{"key":"R78","unstructured":"Boniface Y . Variable values (for tooltips) are no longer translated and remain in their original language. #3213. GitHub. 2013. URL: https:\/\/github.com\/umap-project\/umap\/issues\/3213 [Accessed 29-07-2026]"},{"key":"R79","unstructured":"Rehan A . Jenks natural breaks \u2014 the best range finder algorithm. Medium. 2019. URL: https:\/\/medium.com\/analytics-vidhya\/jenks-natural-breaks-best-range-finder-algorithm-8d1907192051 [Accessed 27-05-2025]"},{"key":"R80","unstructured":"Jenks natural breaks optimization. Wikipedia. 2009. URL: https:\/\/en.wikipedia.org\/wiki\/Jenks_natural_breaks_optimization [Accessed 27-05-2024]"},{"key":"R81","unstructured":"Dougherty J Ilyankou I . Edit and join with Mapshaper. Hands-On Data Visualization. 2022. URL: https:\/\/handsondataviz.org\/mapshaper.html [Accessed 20-08-2024]"},{"key":"R82","unstructured":"Protection of map data - uMap. OpenStreetMap France. 2021. URL: https:\/\/forum.openstreetmap.fr\/t\/protection-des-donnees-cartographiques-umap\/7251 [Accessed 29-07-2026]"},{"key":"R83","unstructured":"Create an interactive map with uMap. University of Quebec in Montreal (UQAM). 2023. URL: https:\/\/recherchenumerique.uqam.ca\/scenarios\/creer-une-carte-avec-umap [Accessed 27-05-2025]"},{"key":"R84","unstructured":"Conditions for reproducing extracts from INSEE publications or data. INSEE. URL: https:\/\/www.insee.fr\/fr\/information\/1302169?question=souhaite-reproduire-extraits-site-internet-une-publication-livre-journal-sont-regles-respecter [Accessed 12-06-2025]"},{"key":"R85","unstructured":"Legal notice and credits. INSEE. 2026. URL: https:\/\/www.insee.fr\/en\/information\/2409130 [Accessed 03-03-2026]"},{"key":"R86","unstructured":"Boniface Y M\u00e9taireau A . umap-project. GitHub. URL: https:\/\/github.com\/umap-project"},{"key":"R87","unstructured":"uMap. Framalibre. 2018. URL: https:\/\/framalibre.org\/content\/umap [Accessed 27-05-2025]"},{"key":"R88","unstructured":"Imagined Forrest Gump run (1994 film). uMap. 2010. URL: http:\/\/umap.openstreetmap.fr\/en\/map\/imagined-forrest-gump-run-1994-film_117755#5\/39.113\/-93.384 [Accessed 27-05-2025]"},{"key":"R89","unstructured":"MyOSMatic. 2022. URL: https:\/\/print.get-map.org [Accessed 27-05-2025]"},{"key":"R90","unstructured":"Additional documentation on the census. INSEE. 2022. URL: https:\/\/www.insee.fr\/fr\/information\/2383410 [Accessed 29-07-2026]"},{"key":"R91","unstructured":"Understand reference populations. INSEE. 2022. URL: https:\/\/www.insee.fr\/fr\/information\/2553979 [Accessed 27-05-2025]"},{"key":"R92","unstructured":"Django documentation. Django. 2005. URL: https:\/\/docs.djangoproject.com\/en\/4.2\/ [Accessed 27-05-2025]"},{"key":"R93","unstructured":"Boniface Y . Add an api for automatic export #78. GitHub. 2014. URL: https:\/\/github.com\/umap-project\/umap\/issues\/78 [Accessed 29-07-2026]"},{"key":"R94","unstructured":"Hartmut. Umap GeoJson Export API Support. OSM Baustelle. 2019. URL: https:\/\/blog.get-map.org\/index.php\/2019\/06\/16\/umap-geojson-export-api-support [Accessed 27-05-2025]"},{"key":"R95","unstructured":"GPS exchange format. Wikipedia. 2002. URL: https:\/\/en.wikipedia.org\/wiki\/GPS_Exchange_Format [Accessed 27-05-2025]"},{"key":"R96","unstructured":"Importing remote data from a CSV file. OpenStreetMap France. 2017. URL: https:\/\/forum.openstreetmap.fr\/t\/importer-des-donnees-distantes-depuis-un-fichier-csv\/2601\/3 [Accessed 27-05-2025]"},{"key":"R97","unstructured":"Map search on the keyword \u201chealth\u201d hosted on the OpenStreetMap (OSM) server and shared with the community. uMap. 2013. URL: https:\/\/umap.openstreetmap.fr\/fr\/search\/?q=health [Accessed 27-05-2025]"},{"key":"R98","unstructured":"Community matrix forum for the uMap project. Element. 2023. URL: https:\/\/app.element.io\/#\/room\/#umap:matrix.org [Accessed 27-05-2025]"},{"key":"R99","unstructured":"Iablonovski GM . I built a geospatial ETL pipeline with python and this is what I learned. Medium. 2020. URL: https:\/\/medium.com\/analytics-vidhya\/i-built-a-geospatial-etl-from-scratch-with-python-and-this-is-what-i-learned-b45b37d15f94 [Accessed 27-05-2025]"},{"key":"R100","unstructured":"Boniface Y . Request - help in uMap - to automate or facilitate the association of a \u201clegend\u201d with its choroplete map. #2303. GitHub. 2013. URL: https:\/\/github.com\/umap-project\/umap\/issues\/2303 [Accessed 29-07-2026]"},{"key":"R101","unstructured":"How to convert an ATN file. Lifewire. 2023. URL: https:\/\/www.lifewire.com\/atn-file-2619722#:~:text=How%20to%20Convert%20an%20ATN%20File [Accessed 27-05-2025]"},{"key":"R102","unstructured":"Photoshoplus. URL: https:\/\/www.photoshoplus.fr [Accessed 29-07-2026]"},{"key":"R103","unstructured":"Description des hospitalisations des patients Covid. ScanCovid. URL: https:\/\/scancovid.scansante.fr\/scancovid\/_w_d5f596fd\/?code=open_data [Accessed 26-05-2025]"},{"key":"R104","unstructured":"Rozier G . covidtracker-tools. GitHub. 2020. URL: https:\/\/github.com\/rozierguillaume\/covidtracker-tools [Accessed 29-07-2026]"},{"key":"R105","unstructured":"Fabacher T . COVID-19 outbreak - dynamic atlas, global and national scales. GMRC-ICUBE-Lab Freeware. URL: https:\/\/thibautfabacher.shinyapps.io\/covid-19\/ [Accessed 07-08-2026]"},{"key":"R106","unstructured":"Fossurier Y . Investigation: coronavirus: which municipalities in the French departments (administrative divisions) of Nord and Pas-de-Calais have recorded the highest mortality rates since March 1st? France 3 TV. 2020. URL: https:\/\/france3-regions.franceinfo.fr\/hauts-de-france\/enquete-coronavirus-quelles-communes-du-nord-du-pas-calais-enregistrent-surmortalite-1er-mars-1825674.html [Accessed 26-05-2025]"},{"key":"R107","unstructured":"Covid-19 interactive map (using r with shiny, leaflet and dplyr). R-bloggers. URL: https:\/\/www.r-bloggers.com\/2020\/03\/covid-19-interactive-map-using-r-with-shiny-leaflet-and-dplyr\/ [Accessed 12-08-2026]"},{"issue":"1","key":"R108","doi-asserted-by":"publisher","DOI":"10.1186\/s12889-024-17803-8","article-title":"Multilayer factors associated with excess all-cause mortality during the omicron and non-omicron waves of the COVID-19 pandemic: time series analysis in 29 countries","volume":"24","author":"Zou","journal-title":"BMC Public Health"},{"issue":"1","key":"R109","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-45934-2","article-title":"The unseen toll: excess mortality during COVID-19 lockdowns","volume":"13","author":"Ege","journal-title":"Sci Rep"},{"key":"R110","doi-asserted-by":"crossref","unstructured":"Giraud T Lambert N . Reproducible cartography. In: Peterson MP , editor. Advances in Cartography and GIScience. Springer; 2017. [doi: 10.1007\/978-3-319-57336-6_13]","DOI":"10.1007\/978-3-319-57336-6_13"},{"key":"R111","unstructured":"Belga. One year of confinement: some dates that marked the lives of Belgians (chronology). Le Sp\u00e9cialiste. 2021. URL: https:\/\/www.lespecialiste.be\/fr\/actualites\/un-an-de-confinement-quelques-dates-qui-ont-marque-la-vie-des-belges-chronologie.html [Accessed 27-05-2025]"},{"key":"R112","unstructured":"GIS data engineering: begin your ETL journey. GISGeography. 2022. URL: https:\/\/gisgeography.com\/data-engineering-gis [Accessed 27-05-2025]"},{"key":"R113","unstructured":"Zirar W . Hospital health data, the HDI: Healthcare Data Institute calls for the creation of a \u201cnational observatory\u201d. TICsant\u00e9. 2023. URL: https:\/\/www.ticsante.com\/story?ID=6696 [Accessed 27-05-2025]"},{"key":"R114","unstructured":"Boniface Y . Statistics on the use of our atlases in the uMap environment\/Statistiques d\u2019analyses d\u2019utilisation de nos atlas dans l\u2019environnement uMap #3198. GitHub. 2013. URL: https:\/\/github.com\/umap-project\/umap\/issues\/3198 [Accessed 28-07-2026]"},{"key":"R115","unstructured":"Boniface Y . Experimental choropleth layer in uMap. OpenStreetMap. 2023. URL: https:\/\/www.openstreetmap.org\/user\/ybon\/diary\/402589 [Accessed 18-07-2025]"},{"key":"R116","unstructured":"The medical photo library: the first solution for managing medical photos. Pixacare. 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