Detection of Infectious Disease Outbreaks in Search Engine Time Series Using Non-Specific Syndromic Surveillance with Effect-Size Filtering
Oded Ovadia, Oren Elisha, Elad Yom-Tov
April 2022
COVID-19 Research
Forecasting & modeling
Publications
Publications par année
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Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, [….], Juan M. Lavista Ferres
PNAS | April 2022
The United States COVID-19 Forecast Hub dataset
Estee Y. Cramer, …, Chaozhuo Li, …
scientific data | April 2022
Providing early indication of regional anomalies in COVID-19 case counts in England using search engine queries
Elad Yom-Tov, Vasileios Lampos, Thomas Inns, Ingemar J. Cox, Michael Edelstein
Scientific Reports | February 2022
Covidseeker: A Geospatial Temporal Surveillance Tool
Yulin Hswen, Elad Yom-Tov, Vaidhy Murti, Nicholas Narsing, Siona Prasad, George W. Rutherford, Kirsten Bibbins-Domingo
International Journal of Environmental Research and Public Health | January 2022
Machine learning approaches for localized lockdown during COVID-19: a case study analysis
Sara Malvar, Julio Romano Meneghini
arXiv: Machine Learning | January 2022
https://arxiv.org/abs/2201.00715
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Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
Proceedings of the National Academy of Sciences of the United States of America | August 2021, Vol 118(33)
DOI Publication Publication Publication Publication Publication Publication
Neighborhood level chronic respiratory disease prevalence estimation using search query data
Nabeel Abdur Rehman, Scott Counts
PLoS ONE | June 2021, Vol 16(6)
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Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
June 2020
P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region
Juan M. Lavista Ferres, Ruth B Etzioni, Bill Weeks
May 2020
Filtre par zone de recherche
-
The United States COVID-19 Forecast Hub dataset
Estee Y. Cramer, …, Chaozhuo Li, …
scientific data | April 2022
Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, [….], Juan M. Lavista Ferres
PNAS | April 2022
Providing early indication of regional anomalies in COVID-19 case counts in England using search engine queries
Elad Yom-Tov, Vasileios Lampos, Thomas Inns, Ingemar J. Cox, Michael Edelstein
Scientific Reports | February 2022
Covidseeker: A Geospatial Temporal Surveillance Tool
Yulin Hswen, Elad Yom-Tov, Vaidhy Murti, Nicholas Narsing, Siona Prasad, George W. Rutherford, Kirsten Bibbins-Domingo
International Journal of Environmental Research and Public Health | January 2022
Machine learning approaches for localized lockdown during COVID-19: a case study analysis
Sara Malvar, Julio Romano Meneghini
arXiv: Machine Learning | January 2022
https://arxiv.org/abs/2201.00715
Neighborhood level chronic respiratory disease prevalence estimation using search query data
Nabeel Abdur Rehman, Scott Counts
PLoS ONE | June 2021, Vol 16(6)
P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region
Juan M. Lavista Ferres, Ruth B Etzioni, Bill Weeks
May 2020
-
Providing early indication of regional anomalies in COVID-19 case counts in England using search engine queries
Elad Yom-Tov, Vasileios Lampos, Thomas Inns, Ingemar J. Cox, Michael Edelstein
Scientific Reports | February 2022
Machine learning approaches for localized lockdown during COVID-19: a case study analysis
Sara Malvar, Julio Romano Meneghini
arXiv: Machine Learning | January 2022
https://arxiv.org/abs/2201.00715
Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
Proceedings of the National Academy of Sciences of the United States of America | August 2021, Vol 118(33)
DOI Publication Publication Publication Publication Publication Publication
Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
June 2020
-
Detection of Infectious Disease Outbreaks in Search Engine Time Series Using Non-Specific Syndromic Surveillance with Effect-Size Filtering
Oded Ovadia, Oren Elisha, Elad Yom-Tov
April 2022
-
Neighborhood level chronic respiratory disease prevalence estimation using search query data
Nabeel Abdur Rehman, Scott Counts
PLoS ONE | June 2021, Vol 16(6)
-
Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
June 2020
Publication Type
-
The United States COVID-19 Forecast Hub dataset
Estee Y. Cramer, …, Chaozhuo Li, …
scientific data | April 2022
Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, [….], Juan M. Lavista Ferres
PNAS | April 2022
Providing early indication of regional anomalies in COVID-19 case counts in England using search engine queries
Elad Yom-Tov, Vasileios Lampos, Thomas Inns, Ingemar J. Cox, Michael Edelstein
Scientific Reports | February 2022
Covidseeker: A Geospatial Temporal Surveillance Tool
Yulin Hswen, Elad Yom-Tov, Vaidhy Murti, Nicholas Narsing, Siona Prasad, George W. Rutherford, Kirsten Bibbins-Domingo
International Journal of Environmental Research and Public Health | January 2022
Machine learning approaches for localized lockdown during COVID-19: a case study analysis
Sara Malvar, Julio Romano Meneghini
arXiv: Machine Learning | January 2022
https://arxiv.org/abs/2201.00715
Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
Proceedings of the National Academy of Sciences of the United States of America | August 2021, Vol 118(33)
DOI Publication Publication Publication Publication Publication Publication
Neighborhood level chronic respiratory disease prevalence estimation using search query data
Nabeel Abdur Rehman, Scott Counts
PLoS ONE | June 2021, Vol 16(6)
-
Detection of Infectious Disease Outbreaks in Search Engine Time Series Using Non-Specific Syndromic Surveillance with Effect-Size Filtering
Oded Ovadia, Oren Elisha, Elad Yom-Tov
April 2022
P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region
Juan M. Lavista Ferres, Ruth B Etzioni, Bill Weeks
May 2020
-
Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
June 2020