This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452) Epidemiology (159) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Surveillance Reports (137) Surveillance Systems (462)

Published on in Vol 7, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25538, first published .
Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic

Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic

Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic

Authors of this article:

Sharon K Greene1 Author Orcid Image ;   Sarah F McGough2, 3 Author Orcid Image ;   Gretchen M Culp4 Author Orcid Image ;   Laura E Graf1 Author Orcid Image ;   Marc Lipsitch2 Author Orcid Image ;   Nicolas A Menzies5 Author Orcid Image ;   Rebecca Kahn2 Author Orcid Image
Article Authors Cited by (23) Tweetations (23) Metrics

Journals

  1. Buckee C, Noor A, Sattenspiel L. Thinking clearly about social aspects of infectious disease transmission. Nature 2021;595(7866):205 View
  2. Verbelen R, Antonio K, Claeskens G, Crevecoeur J. Modeling the Occurrence of Events Subject to a Reporting Delay via an EM Algorithm. Statistical Science 2022;37(3) View
  3. Sahai S, Gurukar S, KhudaBukhsh W, Parthasarathy S, Rempała G. A machine learning model for nowcasting epidemic incidence. Mathematical Biosciences 2022;343:108677 View
  4. Arnold C. Is precision public health the future — or a contradiction?. Nature 2022;601(7891):18 View
  5. Bergström F, Günther F, Höhle M, Britton T, Struchiner C. Bayesian nowcasting with leading indicators applied to COVID-19 fatalities in Sweden. PLOS Computational Biology 2022;18(12):e1010767 View
  6. Shim E, Choi W, Song Y. Clinical Time Delay Distributions of COVID-19 in 2020–2022 in the Republic of Korea: Inferences from a Nationwide Database Analysis. Journal of Clinical Medicine 2022;11(12):3269 View
  7. Ngai S, Sell J, Baig S, Iqbal M, Eddy M, Culp G, Montesano M, McGibbon E, Johnson K, Devinney K, Baumgartner J, Huynh M, Mathes R, Van Wye G, Fine A, Thompson C. Built by epidemiologists for epidemiologists: an internal COVID-19 dashboard for real-time situational awareness in New York City. JAMIA Open 2022;5(2) View
  8. Borda A, Molnar A, Neesham C, Kostkova P. Ethical Issues in AI-Enabled Disease Surveillance: Perspectives from Global Health. Applied Sciences 2022;12(8):3890 View
  9. Seaman S, Samartsidis P, Kall M, De Angelis D. Nowcasting COVID‐19 deaths in England by age and region. Journal of the Royal Statistical Society: Series C (Applied Statistics) 2022;71(5):1266 View
  10. Ahmad F, Anderson R, Knight K, Rossen L, Sutton P. Advancements in the National Vital Statistics System to Meet the Real-Time Data Needs of a Pandemic. American Journal of Public Health 2021;111(12):2133 View
  11. Passalacqua N, Perlmutter A. Parent Satisfaction With Pediatric Speech-Language Pathology Telepractice Services During the COVID-19 Pandemic: An Early Look. Perspectives of the ASHA Special Interest Groups 2022;7(6):2110 View
  12. Kline D, Hyder A, Liu E, Rayo M, Malloy S, Root E. A Bayesian Spatiotemporal Nowcasting Model for Public Health Decision-Making and Surveillance. American Journal of Epidemiology 2022;191(6):1107 View
  13. Abbood A, Ullrich A, Denkel L. Understanding COVID-19 reporting behaviour to support political decision-making: a retrospective cross-sectional study of COVID-19 data reported to WHO. BMJ Open 2023;13(1):e061717 View
  14. Wolffram D, Abbott S, an der Heiden M, Funk S, Günther F, Hailer D, Heyder S, Hotz T, van de Kassteele J, Küchenhoff H, Müller-Hansen S, Syliqi D, Ullrich A, Weigert M, Schienle M, Bracher J, McCaw J. Collaborative nowcasting of COVID-19 hospitalization incidences in Germany. PLOS Computational Biology 2023;19(8):e1011394 View
  15. Rickards C, Kilpatrick A, Yang J. Age-specific SARS-CoV-2 infection fatality rates derived from serological data vary with income and income inequality. PLOS ONE 2023;18(5):e0285612 View
  16. Li Z, Xing Q, Zhao J, Miao Y, Zhang K, Feng G, Qu F, Li Y, He W, Shi W, Jiang Z. COVID19-ResCapsNet: A Novel Residual Capsule Network for COVID-19 Detection from Chest X-Ray Scans Images. IEEE Access 2023:1 View
  17. Léger A, Rizzi S. Month-to-month all-cause mortality forecasting: a method allowing for changes in seasonal patterns. American Journal of Epidemiology 2024;193(6):898 View
  18. Lopez V, Cramer E, Pagano R, Drake J, O’Dea E, Adee M, Ayer T, Chhatwal J, Dalgic O, Ladd M, Linas B, Mueller P, Xiao J, Bracher J, Castro Rivadeneira A, Gerding A, Gneiting T, Huang Y, Jayawardena D, Kanji A, Le K, Mühlemann A, Niemi J, Ray E, Stark A, Wang Y, Wattanachit N, Zorn M, Pei S, Shaman J, Yamana T, Tarasewicz S, Wilson D, Baccam S, Gurung H, Stage S, Suchoski B, Gao L, Gu Z, Kim M, Li X, Wang G, Wang L, Wang Y, Yu S, Gardner L, Jindal S, Marshall M, Nixon K, Dent J, Hill A, Kaminsky J, Lee E, Lemaitre J, Lessler J, Smith C, Truelove S, Kinsey M, Mullany L, Rainwater-Lovett K, Shin L, Tallaksen K, Wilson S, Karlen D, Castro L, Fairchild G, Michaud I, Osthus D, Bian J, Cao W, Gao Z, Lavista Ferres J, Li C, Liu T, Xie X, Zhang S, Zheng S, Chinazzi M, Davis J, Mu K, Pastore y Piontti A, Vespignani A, Xiong X, Walraven R, Chen J, Gu Q, Wang L, Xu P, Zhang W, Zou D, Gibson G, Sheldon D, Srivastava A, Adiga A, Hurt B, Kaur G, Lewis B, Marathe M, Peddireddy A, Porebski P, Venkatramanan S, Wang L, Prasad P, Walker J, Webber A, Slayton R, Biggerstaff M, Reich N, Johansson M, Larremore D. Challenges of COVID-19 Case Forecasting in the US, 2020–2021. PLOS Computational Biology 2024;20(5):e1011200 View
  19. Flores-Alvarado S, Olivares M, Vergara N, García C, Canals M, Cuadrado C. Nowcasting methods to improve the performance of respiratory sentinel surveillance: lessons from the COVID-19 pandemic. Scientific Reports 2024;14(1) View
  20. Lipsitch M, Bassett M, Brownstein J, Elliott P, Eyre D, Grabowski M, Hay J, Johansson M, Kissler S, Larremore D, Layden J, Lessler J, Lynfield R, MacCannell D, Madoff L, Metcalf C, Meyers L, Ofori S, Quinn C, Bento A, Reich N, Riley S, Rosenfeld R, Samore M, Sampath R, Slayton R, Swerdlow D, Truelove S, Varma J, Grad Y. Infectious disease surveillance needs for the United States: lessons from Covid-19. Frontiers in Public Health 2024;12 View
  21. Yamana T, Rajagopal S, Hall D, Moustafa A, Feder A, Ahmed A, Bianco C, Harris R, Coffin S, Campbell A, Pei S, Mell J, Planet P, Shaman J. A two-variant model of SARS-COV-2 transmission: estimating the characteristics of a newly emerging strain. BMC Infectious Diseases 2024;24(1) View
  22. Rohrer R, Wilson A, Baumgartner J, Burton N, Ortiz R, Dorsinville A, Jones L, Greene S. Nowcasting to Monitor Real-Time Mpox Trends During the 2022 Outbreak in New York City: An Evaluation Using Reportable Disease Data Stratified by Race or Ethnicity (Preprint). Online Journal of Public Health Informatics 2024 View