{"id":"https://openalex.org/W2967924765","doi":"https://doi.org/10.1093/jamia/ocz111","title":"Satellite images and machine learning can identify remote communities to facilitate access to health services","display_name":"Satellite images and machine learning can identify remote communities to facilitate access to health services","publication_year":2019,"publication_date":"2019-06-20","ids":{"openalex":"https://openalex.org/W2967924765","doi":"https://doi.org/10.1093/jamia/ocz111","mag":"2967924765","pmid":"https://pubmed.ncbi.nlm.nih.gov/31411691"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocz111","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocz111","pdf_url":"https://academic.oup.com/jamia/article-pdf/26/8-9/806/29170265/ocz111.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/jamia/article-pdf/26/8-9/806/29170265/ocz111.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015719024","display_name":"Emilie Bruzelius","orcid":"https://orcid.org/0000-0001-6384-9747"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Emilie Bruzelius","raw_affiliation_strings":["Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063364645","display_name":"Matthew Le","orcid":null},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Le","raw_affiliation_strings":["Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001450693","display_name":"Avi Kenny","orcid":"https://orcid.org/0000-0002-9465-7307"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avi Kenny","raw_affiliation_strings":["Department of Biostatistics, University of Washington, Seattle, Washington, USA","Last Mile Health, Congo Town, Monrovia, Liberia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Washington, Seattle, Washington, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Last Mile Health, Congo Town, Monrovia, Liberia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071795791","display_name":"Jordan Downey","orcid":"https://orcid.org/0000-0002-0167-9663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jordan Downey","raw_affiliation_strings":["Last Mile Health, Congo Town, Monrovia, Liberia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Last Mile Health, Congo Town, Monrovia, Liberia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016006155","display_name":"Matteo Danieletto","orcid":"https://orcid.org/0000-0002-5178-9182"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matteo Danieletto","raw_affiliation_strings":["Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073086010","display_name":"Aaron Baum","orcid":"https://orcid.org/0000-0003-4999-3480"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Baum","raw_affiliation_strings":["Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031432093","display_name":"Patrick Doup\u00e9","orcid":"https://orcid.org/0000-0002-1901-5291"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Doupe","raw_affiliation_strings":["Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444498","display_name":"Bruno Silva","orcid":"https://orcid.org/0000-0002-0200-5820"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruno Silva","raw_affiliation_strings":["Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014518113","display_name":"Philip J. Landrigan","orcid":"https://orcid.org/0000-0002-0150-6914"},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip J Landrigan","raw_affiliation_strings":["Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, Massachusetts, USA","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101713874","display_name":"Prabhjot Singh","orcid":"https://orcid.org/0000-0001-5120-9443"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prabhjot Singh","raw_affiliation_strings":["Department of Health Systems Design and Global Health, Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Systems Design and Global Health, Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5015719024"],"corresponding_institution_ids":["https://openalex.org/I98704320"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":3.262,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92772727,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"8-9","first_page":"806","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.0771000012755394,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.0771000012755394,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13194","display_name":"ICT in Developing Communities","score":0.0674000009894371,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10209","display_name":"Global Maternal and Child Health","score":0.06419999897480011,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550542116165161},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5971662998199463},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5345764756202698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49018412828445435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4782106578350067},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4533126652240753},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44666725397109985},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44097137451171875},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.42954036593437195},{"id":"https://openalex.org/keywords/community-health","display_name":"Community health","score":0.4201657474040985},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.27786970138549805},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2560097277164459},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2220718264579773},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.19849595427513123},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.1437343955039978},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.13191154599189758}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550542116165161},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5971662998199463},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5345764756202698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49018412828445435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4782106578350067},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4533126652240753},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44666725397109985},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44097137451171875},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.42954036593437195},{"id":"https://openalex.org/C2775951005","wikidata":"https://www.wikidata.org/wiki/Q3473024","display_name":"Community health","level":3,"score":0.4201657474040985},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.27786970138549805},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2560097277164459},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2220718264579773},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.19849595427513123},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.1437343955039978},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.13191154599189758},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003150","descriptor_name":"Community Health Workers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003150","descriptor_name":"Community Health Workers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003150","descriptor_name":"Community Health Workers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006297","descriptor_name":"Health Services Accessibility","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006297","descriptor_name":"Health Services Accessibility","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006297","descriptor_name":"Health Services Accessibility","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012424","descriptor_name":"Rural Population","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012424","descriptor_name":"Rural Population","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012424","descriptor_name":"Rural Population","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019035","descriptor_name":"Rural Health Services","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019035","descriptor_name":"Rural Health Services","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019035","descriptor_name":"Rural Health Services","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062306","descriptor_name":"Geography, Medical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062306","descriptor_name":"Geography, Medical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062306","descriptor_name":"Geography, Medical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063809","descriptor_name":"Satellite Imagery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063809","descriptor_name":"Satellite Imagery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063809","descriptor_name":"Satellite Imagery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocz111","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocz111","pdf_url":"https://academic.oup.com/jamia/article-pdf/26/8-9/806/29170265/ocz111.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:31411691","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31411691","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7647253","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647253","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/jamia/ocz111","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocz111","pdf_url":"https://academic.oup.com/jamia/article-pdf/26/8-9/806/29170265/ocz111.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1597932524","display_name":null,"funder_award_id":"AID-OAA-F-16-00106","funder_id":"https://openalex.org/F4320306115","funder_display_name":"United States Agency for International Development"},{"id":"https://openalex.org/G4160143044","display_name":null,"funder_award_id":"1464297","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G680408602","display_name":null,"funder_award_id":"OPP1171814","funder_id":"https://openalex.org/F4320306137","funder_display_name":"Bill and Melinda Gates Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306115","display_name":"United States Agency for International Development","ror":"https://ror.org/01n6e6j62"},{"id":"https://openalex.org/F4320306137","display_name":"Bill and Melinda Gates Foundation","ror":"https://ror.org/0456r8d26"},{"id":"https://openalex.org/F4320325083","display_name":"UBS Optimus Foundation","ror":"https://ror.org/01ekk8h85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W607748843","https://openalex.org/W1499200948","https://openalex.org/W1538250505","https://openalex.org/W1673310716","https://openalex.org/W1707377995","https://openalex.org/W1909673347","https://openalex.org/W1988492923","https://openalex.org/W1994682066","https://openalex.org/W2005744645","https://openalex.org/W2048204427","https://openalex.org/W2066849907","https://openalex.org/W2091898758","https://openalex.org/W2095802080","https://openalex.org/W2117045082","https://openalex.org/W2139549655","https://openalex.org/W2144017580","https://openalex.org/W2320392061","https://openalex.org/W2462180963","https://openalex.org/W2513506629","https://openalex.org/W2558005018","https://openalex.org/W2585431749","https://openalex.org/W2616093027","https://openalex.org/W2750405155","https://openalex.org/W2773048374","https://openalex.org/W2790440883","https://openalex.org/W4211158269","https://openalex.org/W4253576364","https://openalex.org/W6618526183","https://openalex.org/W6630010889","https://openalex.org/W6631960485","https://openalex.org/W6637131181","https://openalex.org/W6639856548"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W2105707930","https://openalex.org/W1755711892","https://openalex.org/W2160907113","https://openalex.org/W2070813941","https://openalex.org/W4375867731","https://openalex.org/W3046510185"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Community":[1],"health":[2,109,236],"systems":[3],"operating":[4],"in":[5,91,198,240],"remote":[6,39,176,242],"areas":[7],"require":[8],"accurate":[9],"information":[10],"about":[11],"where":[12],"people":[13],"live":[14],"to":[15,24,37,41,73,81,126,188,216,221,233],"efficiently":[16],"provide":[17],"services":[18],"across":[19],"large":[20],"regions.":[21],"We":[22,50,69],"sought":[23],"determine":[25,189],"whether":[26,190],"a":[27,52,58,171],"machine":[28],"learning":[29,60,114],"analyses":[30],"of":[31,85,137,157,167],"satellite":[32,168],"imagery":[33],"can":[34],"be":[35],"used":[36],"map":[38],"communities":[40,56,138,151,177,192],"facilitate":[42],"service":[43],"delivery":[44],"and":[45,107,121,145,160,179],"planning.":[46],"MATERIALS":[47],"AND":[48],"METHODS:":[49],"developed":[51],"method":[53],"for":[54,174],"mapping":[55,175],"using":[57],"deep":[59,113],"approach":[61,88,115,131],"that":[62,227],"excels":[63],"at":[64],"detecting":[65],"objects":[66],"within":[67],"images.":[68],"trained":[70],"an":[71,147],"algorithm":[72],"detect":[74],"individual":[75,127],"buildings,":[76],"then":[77],"examined":[78],"building":[79,128],"clusters":[80],"identify":[82],"groupings":[83],"suggestive":[84],"communities.":[86,243],"The":[87,112,130],"was":[89],"validated":[90],"southeastern":[92],"Liberia,":[93],"by":[94,105],"comparing":[95],"algorithmically":[96],"generated":[97],"results":[98],"with":[99,124,180],"community":[100,108,142,235],"location":[101],"data":[102],"collected":[103],"manually":[104],"enumerators":[106],"workers.":[110],"RESULTS:":[111],"achieved":[116],"86.47%":[117],"positive":[118],"predictive":[119],"value":[120],"79.49%":[122],"sensitivity":[123],"respect":[125],"detection.":[129],"identified":[132,146,193],"75.67%":[133],"(n":[134],"=":[135],"451)":[136],"registered":[139,197],"through":[140],"the":[141,191,199,213,231],"enumeration":[143,201],"process,":[144,202],"additional":[148],"167":[149],"potential":[150,232],"not":[152,196],"previously":[153],"registered.":[154],"Several":[155],"instances":[156],"false":[158,161],"positives":[159],"negatives":[162],"were":[163],"identified.":[164],"DISCUSSION:":[165],"Analysis":[166],"images":[169],"is":[170,186],"promising":[172],"solution":[173],"rapidly,":[178],"relatively":[181],"low":[182],"costs.":[183],"Further":[184],"research":[185],"needed":[187],"algorithmically,":[194],"but":[195],"manual":[200],"are":[203],"currently":[204],"inhabited.":[205],"CONCLUSIONS:":[206],"To":[207],"our":[208],"knowledge,":[209],"this":[210],"study":[211],"represents":[212],"first":[214],"effort":[215],"apply":[217],"image":[218],"recognition":[219],"algorithms":[220],"rural":[222],"healthcare":[223],"delivery.":[224],"Results":[225],"suggest":[226],"these":[228],"methods":[229],"have":[230],"enhance":[234],"worker":[237],"scale-up":[238],"efforts":[239],"underserved":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
