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Select item 101920181.

Insights into the accuracy of social scientists’ forecasts of societal change

The Forecasting Collaborative

Nat Hum Behav. Author manuscript; available in PMC 2024 Apr 1.

Published in final edited form as: Nat Hum Behav. 2023 Apr; 7(4): 484–501. Published online 2023 Feb 9. doi: 10.1038/s41562-022-01517-1

PMCID:: PMC10192018

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Select item 92853362.

Increased adoption of best practices in ecological forecasting enables comparisons of forecastability

Abigail S. L. Lewis, Whitney M. Woelmer, Heather L. Wander, Dexter W. Howard, John W. Smith, Ryan P. McClure, Mary E. Lofton, Nicholas W. Hammond, Rachel S. Corrigan, R. Quinn Thomas, Cayelan C. Carey

Ecol Appl. 2022 Mar; 32(2): e2500. Published online 2021 Dec 14. doi: 10.1002/eap.2500

PMCID:: PMC9285336

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Select item 101918243.

Forecasting ward-level bed requirements to aid pandemic resource planning: Lessons learned and future directions

Michael R. Johnson, Hiten Naik, Wei Siang Chan, Jesse Greiner, Matt Michaleski, Dong Liu, Bruno Silvestre, Ian P. McCarthy

Health Care Manag Sci. 2023; 26(3): 477–500. Published online 2023 May 18. doi: 10.1007/s10729-023-09639-2

PMCID:: PMC10191824

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Deterioration of Electrical Load Forecasting Models in a Smart Grid Environment

Abdul Azeem, Idris Ismail, Syed Muslim Jameel, Fakhizan Romlie, Kamaluddeen Usman Danyaro, Saurabh Shukla

Sensors (Basel) 2022 Jun; 22(12): 4363. Published online 2022 Jun 9. doi: 10.3390/s22124363

PMCID:: PMC9227945

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Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach

Jing Wu, Mingchen Li, Erlong Zhao, Shaolong Sun, Shouyang Wang

Tour Manag. 2023 Oct; 98: 104759. Published online 2023 Apr 3. doi: 10.1016/j.tourman.2023.104759

PMCID:: PMC10068136

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Select item 93818736.

Forecasting Model: The Case of the Pharmaceutical Retail

Aurelija Burinskiene

Front Med (Lausanne) 2022; 9: 582186. Published online 2022 Aug 3. doi: 10.3389/fmed.2022.582186

PMCID:: PMC9381873

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Select item 96077347.

Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19

Binrong Wu, Lin Wang, Yu-Rong Zeng

Appl Intell (Dordr) 2023; 53(11): 14493–14514. Published online 2022 Oct 27. doi: 10.1007/s10489-022-04254-0

PMCID:: PMC9607734

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A survey of human judgement and quantitative forecasting methods

Maximilian Zellner, Ali E. Abbas, David V. Budescu, Aram Galstyan

R Soc Open Sci. 2021 Feb; 8(2): 201187. Published online February 24, 2021. doi: 10.1098/rsos.201187

PMCID:: PMC8074796

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Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples

Chelsea S. Lutz, Mimi P. Huynh, Monica Schroeder, Sophia Anyatonwu, F. Scott Dahlgren, Gregory Danyluk, Danielle Fernandez, Sharon K. Greene, Nodar Kipshidze, Leann Liu, Osaro Mgbere, Lisa A. McHugh, Jennifer F. Myers, Alan Siniscalchi, Amy D. Sullivan, Nicole West, Michael A. Johansson, Matthew Biggerstaff

BMC Public Health. 2019; 19: 1659. Published online 2019 Dec 10. doi: 10.1186/s12889-019-7966-8

PMCID:: PMC6902553

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Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited

Dave Osthus, Ashlynn R. Daughton, Reid Priedhorsky

PLoS Comput Biol. 2019 Feb; 15(2): e1006599. Published online 2019 Feb 1. doi: 10.1371/journal.pcbi.1006599

PMCID:: PMC6373968

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Assessing opportunities and inequities in undergraduate ecological forecasting education

Alyssa M. Willson, Hayden Gallo, Jody A. Peters, Antoinette Abeyta, Nievita Bueno Watts, Cayelan C. Carey, Tadhg N. Moore, Georgia Smies, R. Quinn Thomas, Whitney M. Woelmer, Jason S. McLachlan

Ecol Evol. 2023 May; 13(5): e10001. Published online 2023 May 2. doi: 10.1002/ece3.10001

PMCID:: PMC10154799

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Select item 974469012.

COVID-19 spread control policies based early dynamics forecasting using deep learning algorithm

Furqan Ali, Farman Ullah, Junaid Iqbal Khan, Jebran Khan, Abdul Wasay Sardar, Sungchang Lee

Chaos Solitons Fractals. 2023 Feb; 167: 112984. Published online 2022 Dec 13. doi: 10.1016/j.chaos.2022.112984

PMCID:: PMC9744690

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Select item 1015067813.

Systematic review of passenger demand forecasting in aviation industry

Renju Aleyamma Zachariah, Sahil Sharma, Vijay Kumar

Multimed Tools Appl. 2023 May 1 : 1–37. doi: 10.1007/s11042-023-15552-1 [Epub ahead of print]

PMCID:: PMC10150678

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Short-Range Forecasting of COVID-19 During Early Onset at County, Health District, and State Geographic Levels Using Seven Methods: Comparative Forecasting Study

Christopher J Lynch, Ross Gore

J Med Internet Res. 2021 Mar; 23(3): e24925. Published online 2021 Mar 23. doi: 10.2196/24925

PMCID:: PMC7990039

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Select item 945415215.

Deep learning for Covid-19 forecasting: State-of-the-art review.

Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, Ashraf Elnagar, Murodbek Safaraliev

Neurocomputing. 2022 Oct 28; 511: 142–154. Published online 2022 Sep 8. doi: 10.1016/j.neucom.2022.09.005

PMCID:: PMC9454152

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Comparative study of machine learning methods for COVID-19 transmission forecasting

Abdelkader Dairi, Fouzi Harrou, Abdelhafid Zeroual, Mohamad Mazen Hittawe, Ying Sun

J Biomed Inform. 2021 Jun; 118: 103791. Published online 2021 Apr 26. doi: 10.1016/j.jbi.2021.103791

PMCID:: PMC8074522

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The practicality of Malaysia dengue outbreak forecasting model as an early warning system

Suzilah Ismail, Robert Fildes, Rohani Ahmad, Wan Najdah Wan Mohamad Ali, Topek Omar

Infect Dis Model. 2022 Sep; 7(3): 510–525. Published online 2022 Aug 8. doi: 10.1016/j.idm.2022.07.008

PMCID:: PMC9418377

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Neural network models for influenza forecasting with associated uncertainty using Web search activity trends

Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos

PLoS Comput Biol. 2023 Aug; 19(8): e1011392. Published online 2023 Aug 28. doi: 10.1371/journal.pcbi.1011392

PMCID:: PMC10491400

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Select item 592382219.

Air Pollution Forecasts: An Overview

Lu Bai, Jianzhou Wang, Xuejiao Ma, Haiyan Lu

Int J Environ Res Public Health. 2018 Apr; 15(4): 780. Published online 2018 Apr 17. doi: 10.3390/ijerph15040780

PMCID:: PMC5923822

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Select item 871379620.

Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction?

Daniel J. McDonald, Jacob Bien, Alden Green, Addison J. Hu, Nat DeFries, Sangwon Hyun, Natalia L. Oliveira, James Sharpnack, Jingjing Tang, Robert Tibshirani, Valérie Ventura, Larry Wasserman, Ryan J. Tibshirani

Proc Natl Acad Sci U S A. 2021 Dec 21; 118(51): e2111453118. Published online 2021 Dec 13. doi: 10.1073/pnas.2111453118

PMCID:: PMC8713796

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PMC Images search for disease forecasting

Fig 6Fitted and 52 weeks forecasting time series plot of four models.

Black line: original time series; red line: fitted time series in training set; blue line: forecasting time series in validation set.

Forecasting hand-foot-and-mouth disease cases using wavelet-based SARIMA–NNAR hybrid model

PLoS One. 2021;16(2):e0246673.
Figure 2

Cumulative incidence of COVID-19 during delivery hospitalization in the United States
COVID-19, coronavirus disease 2019.
Putra et al. Forecasting COVID-19 infection in pregnancy. AJOG MFM 2020.

Forecasting the impact of coronavirus disease during delivery hospitalization: an aid for resource utilization

Am J Obstet Gynecol MFM. 2020 Aug;2(3):100127-100127.
Figure 3

Weekly incidence of COVID-19 during delivery hospitalization in the United States
COVID-19, coronavirus disease 2019.
Putra et al. Forecasting COVID-19 infection in pregnancy. AJOG MFM 2020.

Forecasting the impact of coronavirus disease during delivery hospitalization: an aid for resource utilization

Am J Obstet Gynecol MFM. 2020 Aug;2(3):100127-100127.
Figure 2Forecasting effectiveness for selected successful models.

This figure shows model r ² compared to temporal offset in days: positive offsets are forecasting, zero is nowcasting (marked with a dotted line), and negative offsets are anti-forecasting. As above, figures for the four successful contexts not included here are in the supplemental .

Global Disease Monitoring and Forecasting with Wikipedia

PLoS Comput Biol. 2014 Nov;10(11):e1003892.