Geographic monitoring for early disease detection (GeoMEDD)
Identifying emergent patterns of coronavirus disease 2019 (COVID-19) at the local level presents a geographic challenge. The need is not only to integrate multiple data streams from different sources, scales, and cadences, but to also identify meaningful spatial patterns in these data, especially in...
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| Published in: | Scientific reports Vol. 10; no. 1; p. 21753 |
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| Abstract | Identifying emergent patterns of coronavirus disease 2019 (COVID-19) at the local level presents a geographic challenge. The need is not only to integrate multiple data streams from different sources, scales, and cadences, but to also identify meaningful spatial patterns in these data, especially in vulnerable settings where even small numbers and low rates are important to pinpoint for early intervention. This paper identifies a gap in current analytical approaches and presents a near-real time assessment of emergent disease that can be used to guide a local intervention strategy: Geographic Monitoring for Early Disease Detection (GeoMEDD). Through integration of a spatial database and two types of clustering algorithms, GeoMEDD uses incoming test data to provide multiple spatial and temporal perspectives on an ever changing disease landscape by connecting cases using different spatial and temporal thresholds. GeoMEDD has proven effective in revealing these different types of clusters, as well as the influencers and accelerators that give insight as to why a cluster exists where it does, and why it evolves, leading to the saving of lives through more timely and geographically targeted intervention. |
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| AbstractList | Identifying emergent patterns of coronavirus disease 2019 (COVID-19) at the local level presents a geographic challenge. The need is not only to integrate multiple data streams from different sources, scales, and cadences, but to also identify meaningful spatial patterns in these data, especially in vulnerable settings where even small numbers and low rates are important to pinpoint for early intervention. This paper identifies a gap in current analytical approaches and presents a near-real time assessment of emergent disease that can be used to guide a local intervention strategy: Geographic Monitoring for Early Disease Detection (GeoMEDD). Through integration of a spatial database and two types of clustering algorithms, GeoMEDD uses incoming test data to provide multiple spatial and temporal perspectives on an ever changing disease landscape by connecting cases using different spatial and temporal thresholds. GeoMEDD has proven effective in revealing these different types of clusters, as well as the influencers and accelerators that give insight as to why a cluster exists where it does, and why it evolves, leading to the saving of lives through more timely and geographically targeted intervention. Abstract Identifying emergent patterns of coronavirus disease 2019 (COVID-19) at the local level presents a geographic challenge. The need is not only to integrate multiple data streams from different sources, scales, and cadences, but to also identify meaningful spatial patterns in these data, especially in vulnerable settings where even small numbers and low rates are important to pinpoint for early intervention. This paper identifies a gap in current analytical approaches and presents a near-real time assessment of emergent disease that can be used to guide a local intervention strategy: Geographic Monitoring for Early Disease Detection (GeoMEDD). Through integration of a spatial database and two types of clustering algorithms, GeoMEDD uses incoming test data to provide multiple spatial and temporal perspectives on an ever changing disease landscape by connecting cases using different spatial and temporal thresholds. GeoMEDD has proven effective in revealing these different types of clusters, as well as the influencers and accelerators that give insight as to why a cluster exists where it does, and why it evolves, leading to the saving of lives through more timely and geographically targeted intervention. |
| ArticleNumber | 21753 |
| Author | Curtis, Jacqueline Mihalik, Sarah Goldberg, Daniel W. Curtis, Andrew Purohit, Maulik Muisyo, James Vijitakula, Sorapat Yax, Justin Ajayakumar, Jayakrishnan Scott, Zachary Labadorf, James |
| Author_xml | – sequence: 1 givenname: Andrew surname: Curtis fullname: Curtis, Andrew organization: GIS Health & Hazards Lab, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University – sequence: 2 givenname: Jayakrishnan surname: Ajayakumar fullname: Ajayakumar, Jayakrishnan organization: GIS Health & Hazards Lab, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University – sequence: 3 givenname: Jacqueline surname: Curtis fullname: Curtis, Jacqueline email: jacqueline.curtis@case.edu organization: GIS Health & Hazards Lab, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University – sequence: 4 givenname: Sarah surname: Mihalik fullname: Mihalik, Sarah organization: University Hospitals Health System – sequence: 5 givenname: Maulik surname: Purohit fullname: Purohit, Maulik organization: University Hospitals Health System – sequence: 6 givenname: Zachary surname: Scott fullname: Scott, Zachary organization: University Hospitals Health System – sequence: 7 givenname: James surname: Muisyo fullname: Muisyo, James organization: University Hospitals Health System – sequence: 8 givenname: James surname: Labadorf fullname: Labadorf, James organization: University Hospitals Health System – sequence: 9 givenname: Sorapat surname: Vijitakula fullname: Vijitakula, Sorapat organization: University Hospitals Health System – sequence: 10 givenname: Justin surname: Yax fullname: Yax, Justin organization: University Hospitals Health System – sequence: 11 givenname: Daniel W. surname: Goldberg fullname: Goldberg, Daniel W. organization: GeoInnovation Service Center, Department of Geography, Texas A&M University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33303896$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1001/jama.2020.6775 10.1111/j.1538-4632.1995.tb00338.x 10.1371/journal.pmed.0020059 10.1080/08959420.2020.1750543 10.1001/jama.2020.6548 10.1001/jama.2020.8598 10.1016/j.apgeog.2020.102202 10.1080/00045608.2012.687349 10.1016/j.healthplace.2020.102404 10.1016/j.sste.2020.100354 10.1080/03610929708831995 10.1186/s12942-020-00202-8 10.1038/s41586-020-2284-y 10.4269/ajtmh.20-0391 10.1016/S1473-3099(20)30120-1 10.1126/sciadv.abc0764 10.1111/j.1538-4632.1995.tb00912.x 10.1016/j.sste.2012.02.002 10.1177/028072700602400203 10.1016/j.scitotenv.2020.142396 |
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| References | Yancy (CR20) 2020; 323 Texas (CR22) 2015 Ester, Kriegel, Sander, Xu (CR26) 1996; 96 Oliver (CR6) 2020; 6 Curtis, Mills, Blackburn, Pine, Kennedy (CR21) 2006; 24 CR10 Boulos, Geraghty (CR1) 2020; 19 Solis, Franco-Paredes, Henao-Martínez, Krsak, Zimmer (CR17) 2020; 103 Kulldorff, Heffernan, Hartman, Assunção, Mostashari (CR27) 2005; 2 Jia (CR4) 2020; 582 Flanagan, Hallisey, Adams, Lavery (CR23) 2018; 80 Ord, Getis (CR8) 1995; 27 Hohl, Delmelle, Desjardins, Lan (CR13) 2020; 34 Kulldorff (CR9) 1997; 26 Kwan (CR14) 2012; 102 Cuadros (CR11) 2020; 64 Hooper, Nápoles, Pérez-Stable (CR18) 2020; 323 CR3 Dong, Du, Gardner (CR2) 2020; 20 Curtis, Curtis, Porter, Jefferis, Shook (CR15) 2016; 106 Richardson (CR16) 2020; 323 CR5 Anselin (CR7) 1995; 27 Gardner, States, Bagley (CR19) 2020; 32 CR25 CR24 Jacquez (CR28) 2012; 3 Desjardins, Hohl, Delmelle (CR12) 2020; 118 E Dong (78704_CR2) 2020; 20 W Gardner (78704_CR19) 2020; 32 78704_CR3 M Ester (78704_CR26) 1996; 96 78704_CR10 A Curtis (78704_CR15) 2016; 106 J Solis (78704_CR17) 2020; 103 MW Hooper (78704_CR18) 2020; 323 N Oliver (78704_CR6) 2020; 6 JK Ord (78704_CR8) 1995; 27 M Kulldorff (78704_CR9) 1997; 26 CW Yancy (78704_CR20) 2020; 323 JS Jia (78704_CR4) 2020; 582 GM Jacquez (78704_CR28) 2012; 3 MR Desjardins (78704_CR12) 2020; 118 M Kulldorff (78704_CR27) 2005; 2 MNK Boulos (78704_CR1) 2020; 19 S Richardson (78704_CR16) 2020; 323 M-P Kwan (78704_CR14) 2012; 102 AM Texas (78704_CR22) 2015 BE Flanagan (78704_CR23) 2018; 80 78704_CR25 78704_CR24 A Curtis (78704_CR21) 2006; 24 A Hohl (78704_CR13) 2020; 34 78704_CR5 DF Cuadros (78704_CR11) 2020; 64 L Anselin (78704_CR7) 1995; 27 |
| References_xml | – volume: 323 start-page: 2052 year: 2020 end-page: 2059 ident: CR16 article-title: Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City Area publication-title: JAMA doi: 10.1001/jama.2020.6775 contributor: fullname: Richardson – volume: 80 start-page: 34 year: 2018 end-page: 36 ident: CR23 article-title: Measuring community vulnerability to natural and anthropogenic hazards: the Centers for Disease Control and Prevention’s Social Vulnerability Index publication-title: J. Environ. Health contributor: fullname: Lavery – volume: 27 start-page: 93 year: 1995 end-page: 115 ident: CR7 article-title: Local indicators of spatial association—LISA publication-title: Geogr. Anal. doi: 10.1111/j.1538-4632.1995.tb00338.x contributor: fullname: Anselin – volume: 2 start-page: e59 year: 2005 ident: CR27 article-title: A space-time permutation scan statistic for disease outbreak detection publication-title: PLOS Med. doi: 10.1371/journal.pmed.0020059 contributor: fullname: Mostashari – ident: CR10 – volume: 32 start-page: 310 year: 2020 end-page: 315 ident: CR19 article-title: The coronavirus and the risks to the elderly in long-term care publication-title: J. Aging Soc. Policy doi: 10.1080/08959420.2020.1750543 contributor: fullname: Bagley – volume: 323 start-page: 1891 year: 2020 end-page: 1892 ident: CR20 article-title: COVID-19 and African Americans publication-title: JAMA doi: 10.1001/jama.2020.6548 contributor: fullname: Yancy – ident: CR25 – volume: 323 start-page: 2466 year: 2020 end-page: 2467 ident: CR18 article-title: COVID-19 and racial/ethnic disparities publication-title: JAMA doi: 10.1001/jama.2020.8598 contributor: fullname: Pérez-Stable – volume: 118 start-page: 102202 year: 2020 ident: CR12 article-title: Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: detecting and evaluating emerging clusters publication-title: Appl. Geogr. doi: 10.1016/j.apgeog.2020.102202 contributor: fullname: Delmelle – volume: 102 start-page: 958 year: 2012 end-page: 968 ident: CR14 article-title: The uncertain geographic context problem publication-title: Ann. Assoc. Am. Geogr. doi: 10.1080/00045608.2012.687349 contributor: fullname: Kwan – volume: 96 start-page: 226 issue: 34 year: 1996 end-page: 231 ident: CR26 article-title: A density-based algorithm for discovering clusters in large spatial databases with noise publication-title: Kdd contributor: fullname: Xu – volume: 64 start-page: 102404 year: 2020 ident: CR11 article-title: Spatiotemporal transmission dynamics of the COVID-19 pandemic and its impact on critical healthcare capacity publication-title: Health Place doi: 10.1016/j.healthplace.2020.102404 contributor: fullname: Cuadros – volume: 34 start-page: 100354 year: 2020 ident: CR13 article-title: Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States publication-title: Spatial Spatio-temporal Epidemiol. doi: 10.1016/j.sste.2020.100354 contributor: fullname: Lan – volume: 26 start-page: 1481 year: 1997 end-page: 1496 ident: CR9 article-title: A spatial scan statistic publication-title: Commun. Stat. Theory Methods doi: 10.1080/03610929708831995 contributor: fullname: Kulldorff – ident: CR3 – volume: 19 start-page: 8 year: 2020 ident: CR1 article-title: Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics publication-title: Int. J. Health Geograph. doi: 10.1186/s12942-020-00202-8 contributor: fullname: Geraghty – volume: 106 start-page: 819 year: 2016 end-page: 836 ident: CR15 article-title: Context and spatial nuance inside a neighborhood’s drug hotspot: Implications for the crime–health nexus publication-title: Ann. Am. Assoc. Geogr. contributor: fullname: Shook – year: 2015 ident: CR22 publication-title: University Geocoder contributor: fullname: Texas – volume: 582 start-page: 389 year: 2020 end-page: 394 ident: CR4 article-title: Population flow drives spatio-temporal distribution of COVID-19 in China publication-title: Nature doi: 10.1038/s41586-020-2284-y contributor: fullname: Jia – ident: CR5 – volume: 24 start-page: 203 year: 2006 ident: CR21 article-title: Louisiana State University geographic information system support of Hurricane Katrina recovery operations publication-title: Int. J. Mass Emerg. Disast. contributor: fullname: Kennedy – volume: 103 start-page: 25 year: 2020 end-page: 27 ident: CR17 article-title: Structural vulnerability in the U.S. revealed in three waves of COVID-19 publication-title: Am. J. Trop. Med. Hyg. doi: 10.4269/ajtmh.20-0391 contributor: fullname: Zimmer – volume: 20 start-page: 533 year: 2020 end-page: 534 ident: CR2 article-title: An interactive web-based dashboard to track COVID-19 in real time publication-title: Lancet. Infect. Dis doi: 10.1016/S1473-3099(20)30120-1 contributor: fullname: Gardner – volume: 6 start-page: eabc0764 year: 2020 ident: CR6 article-title: Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle publication-title: Sci. Adv. doi: 10.1126/sciadv.abc0764 contributor: fullname: Oliver – volume: 27 start-page: 286 year: 1995 end-page: 306 ident: CR8 article-title: Local spatial autocorrelation statistics: distributional issues and an application publication-title: Geogr. Anal. doi: 10.1111/j.1538-4632.1995.tb00912.x contributor: fullname: Getis – ident: CR24 – volume: 3 start-page: 7 year: 2012 end-page: 16 ident: CR28 article-title: A research agenda: does geocoding positional error matter in health GIS studies? publication-title: Spatial Spatio-temporal Epidemiol. doi: 10.1016/j.sste.2012.02.002 contributor: fullname: Jacquez – volume: 20 start-page: 533 year: 2020 ident: 78704_CR2 publication-title: Lancet. Infect. Dis doi: 10.1016/S1473-3099(20)30120-1 contributor: fullname: E Dong – volume: 3 start-page: 7 year: 2012 ident: 78704_CR28 publication-title: Spatial Spatio-temporal Epidemiol. doi: 10.1016/j.sste.2012.02.002 contributor: fullname: GM Jacquez – volume: 24 start-page: 203 year: 2006 ident: 78704_CR21 publication-title: Int. J. Mass Emerg. Disast. doi: 10.1177/028072700602400203 contributor: fullname: A Curtis – volume: 2 start-page: e59 year: 2005 ident: 78704_CR27 publication-title: PLOS Med. doi: 10.1371/journal.pmed.0020059 contributor: fullname: M Kulldorff – ident: 78704_CR5 – volume: 323 start-page: 2466 year: 2020 ident: 78704_CR18 publication-title: JAMA doi: 10.1001/jama.2020.8598 contributor: fullname: MW Hooper – volume: 103 start-page: 25 year: 2020 ident: 78704_CR17 publication-title: Am. J. Trop. Med. Hyg. doi: 10.4269/ajtmh.20-0391 contributor: fullname: J Solis – volume: 80 start-page: 34 year: 2018 ident: 78704_CR23 publication-title: J. Environ. Health contributor: fullname: BE Flanagan – volume: 323 start-page: 2052 year: 2020 ident: 78704_CR16 publication-title: JAMA doi: 10.1001/jama.2020.6775 contributor: fullname: S Richardson – volume: 27 start-page: 93 year: 1995 ident: 78704_CR7 publication-title: Geogr. Anal. doi: 10.1111/j.1538-4632.1995.tb00338.x contributor: fullname: L Anselin – volume: 27 start-page: 286 year: 1995 ident: 78704_CR8 publication-title: Geogr. Anal. doi: 10.1111/j.1538-4632.1995.tb00912.x contributor: fullname: JK Ord – ident: 78704_CR24 – volume: 96 start-page: 226 issue: 34 year: 1996 ident: 78704_CR26 publication-title: Kdd contributor: fullname: M Ester – ident: 78704_CR3 – volume: 118 start-page: 102202 year: 2020 ident: 78704_CR12 publication-title: Appl. Geogr. doi: 10.1016/j.apgeog.2020.102202 contributor: fullname: MR Desjardins – volume: 34 start-page: 100354 year: 2020 ident: 78704_CR13 publication-title: Spatial Spatio-temporal Epidemiol. doi: 10.1016/j.sste.2020.100354 contributor: fullname: A Hohl – volume: 32 start-page: 310 year: 2020 ident: 78704_CR19 publication-title: J. Aging Soc. Policy doi: 10.1080/08959420.2020.1750543 contributor: fullname: W Gardner – volume: 6 start-page: eabc0764 year: 2020 ident: 78704_CR6 publication-title: Sci. Adv. doi: 10.1126/sciadv.abc0764 contributor: fullname: N Oliver – volume: 323 start-page: 1891 year: 2020 ident: 78704_CR20 publication-title: JAMA doi: 10.1001/jama.2020.6548 contributor: fullname: CW Yancy – volume: 26 start-page: 1481 year: 1997 ident: 78704_CR9 publication-title: Commun. Stat. Theory Methods doi: 10.1080/03610929708831995 contributor: fullname: M Kulldorff – volume: 19 start-page: 8 year: 2020 ident: 78704_CR1 publication-title: Int. J. Health Geograph. doi: 10.1186/s12942-020-00202-8 contributor: fullname: MNK Boulos – ident: 78704_CR25 – volume: 102 start-page: 958 year: 2012 ident: 78704_CR14 publication-title: Ann. Assoc. Am. Geogr. doi: 10.1080/00045608.2012.687349 contributor: fullname: M-P Kwan – volume: 582 start-page: 389 year: 2020 ident: 78704_CR4 publication-title: Nature doi: 10.1038/s41586-020-2284-y contributor: fullname: JS Jia – volume: 64 start-page: 102404 year: 2020 ident: 78704_CR11 publication-title: Health Place doi: 10.1016/j.healthplace.2020.102404 contributor: fullname: DF Cuadros – volume: 106 start-page: 819 year: 2016 ident: 78704_CR15 publication-title: Ann. Am. Assoc. Geogr. contributor: fullname: A Curtis – ident: 78704_CR10 doi: 10.1016/j.scitotenv.2020.142396 – volume-title: University Geocoder year: 2015 ident: 78704_CR22 contributor: fullname: AM Texas |
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| Snippet | Identifying emergent patterns of coronavirus disease 2019 (COVID-19) at the local level presents a geographic challenge. The need is not only to integrate... Abstract Identifying emergent patterns of coronavirus disease 2019 (COVID-19) at the local level presents a geographic challenge. The need is not only to... |
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| SubjectTerms | 692/699 692/700 Algorithms Coronaviruses COVID-19 COVID-19 - epidemiology Databases, Factual Disease detection Epidemiological Monitoring Geographic Information Systems Humanities and Social Sciences Humans multidisciplinary Pandemics SARS-CoV-2 Science Science (multidisciplinary) |
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| Title | Geographic monitoring for early disease detection (GeoMEDD) |
| URI | https://link.springer.com/article/10.1038/s41598-020-78704-5 https://www.ncbi.nlm.nih.gov/pubmed/33303896 https://www.proquest.com/docview/2473302291 https://search.proquest.com/docview/2470279902 https://pubmed.ncbi.nlm.nih.gov/PMC7728804 https://doaj.org/article/34b287547fef41419e94620f284128c3 |
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