Author Correction: A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-09-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-97597-6 |
| _version_ | 1818428367599304704 |
|---|---|
| author | Amparo Güemes Soumyajit Ray Khaled Aboumerhi Michael R. Desjardins Anton Kvit Anne E. Corrigan Brendan Fries Timothy Shields Robert D. Stevens Frank C. Curriero Ralph Etienne‑Cummings |
| author_facet | Amparo Güemes Soumyajit Ray Khaled Aboumerhi Michael R. Desjardins Anton Kvit Anne E. Corrigan Brendan Fries Timothy Shields Robert D. Stevens Frank C. Curriero Ralph Etienne‑Cummings |
| author_sort | Amparo Güemes |
| collection | DOAJ |
| first_indexed | 2024-12-14T15:00:30Z |
| format | Article |
| id | doaj.art-93eca72d4fb04b7885e23121d903be53 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T15:00:30Z |
| publishDate | 2021-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-93eca72d4fb04b7885e23121d903be532022-12-21T22:56:52ZengNature PortfolioScientific Reports2045-23222021-09-011111110.1038/s41598-021-97597-6Author Correction: A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United StatesAmparo Güemes0Soumyajit Ray1Khaled Aboumerhi2Michael R. Desjardins3Anton Kvit4Anne E. Corrigan5Brendan Fries6Timothy Shields7Robert D. Stevens8Frank C. Curriero9Ralph Etienne‑Cummings10Department of Electrical and Computer Engineering, Johns Hopkins Whiting School of Engineering, The Johns Hopkins UniversityDepartment of Electrical and Computer Engineering, Johns Hopkins Whiting School of Engineering, The Johns Hopkins UniversityDepartment of Electrical and Computer Engineering, Johns Hopkins Whiting School of Engineering, The Johns Hopkins UniversityDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public HealthDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public HealthDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public HealthDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public HealthDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public HealthDepartment of Anesthesiology and Critical Care Medicine, Neurology, Neurosurgery and Radiology, Johns Hopkins University School of MedicineDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public HealthDepartment of Electrical and Computer Engineering, Johns Hopkins Whiting School of Engineering, The Johns Hopkins Universityhttps://doi.org/10.1038/s41598-021-97597-6 |
| spellingShingle | Amparo Güemes Soumyajit Ray Khaled Aboumerhi Michael R. Desjardins Anton Kvit Anne E. Corrigan Brendan Fries Timothy Shields Robert D. Stevens Frank C. Curriero Ralph Etienne‑Cummings Author Correction: A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States Scientific Reports |
| title | Author Correction: A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States |
| title_full | Author Correction: A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States |
| title_fullStr | Author Correction: A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States |
| title_full_unstemmed | Author Correction: A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States |
| title_short | Author Correction: A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States |
| title_sort | author correction a syndromic surveillance tool to detect anomalous clusters of covid 19 symptoms in the united states |
| url | https://doi.org/10.1038/s41598-021-97597-6 |
| work_keys_str_mv | AT amparoguemes authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT soumyajitray authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT khaledaboumerhi authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT michaelrdesjardins authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT antonkvit authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT anneecorrigan authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT brendanfries authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT timothyshields authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT robertdstevens authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT frankccurriero authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates AT ralphetiennecummings authorcorrectionasyndromicsurveillancetooltodetectanomalousclustersofcovid19symptomsintheunitedstates |