| For: | Tomov L, Chervenkov L, Miteva DG, Batselova H, Velikova T. Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic. World J Clin Cases 2023; 11(29): 6974-6983 [PMID: 37946767 DOI: 10.12998/wjcc.v11.i29.6974] |
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| URL: | https://www.wjgnet.com/2307-8960/full/v11/i29/6974.htm |
| Number | Citing Articles |
| 1 |
Noor Muhammad Khan, Ileana Baldi, Maria Vittoria Chiaruttini, Dario Gregori. Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis. 2026; doi: 10.1007/978-3-032-06747-0_7
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| 2 |
Hari Prakash Sritharan, Harrison Nguyen, Usaid Khalil Allahwala, Ravinay Bhindi. Cardiovascular presentations during the COVID-19 pandemic: an interrupted time series analysis. Journal of Public Health 2025; 47(1) doi: 10.1093/pubmed/fdae248
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| 3 |
Yue Zhang, Ying Tian. Temporal trends, disparities, and ARIMA forecasts of mortality among U.S. adults with coexisting hematologic malignancy and heart failure, 1999–2023, with projections to 2033. Frontiers in Oncology 2026; 16 doi: 10.3389/fonc.2026.1818278
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| 4 |
Ming-Jie Jia, Shen Wang, Yu Li, Xing-Ning Liu, Feng Jiang, Hui-Lin Li. Global burden of thyroid cancer among adolescents and young adults, 1990-2021, and projections to 2050: an analysis based on the GBD 2021. Frontiers in Endocrinology 2025; 16 doi: 10.3389/fendo.2025.1503144
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| 5 |
Luis Roger Esquivel Gomez, Nadezdha Malysheva, Juliane Pfeil, Zewen Yang, Sandra M. Bütow, Christopher Irrgang, Nils Körber, Georges Hattab, Denise Kühnert, Katharina Ladewig. Holistic forecasting for future pandemics: a review of pathogens, models, and data. Discover Public Health 2025; 22(1) doi: 10.1186/s12982-025-00573-y
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| 6 |
Shuyu Jiang, Hao Ren, Yichang Gao, Yi-Cheng Zhang, Li Qi, Dayong Xiao, Jie Fan, Rui Tang, Wei Wang. Large language models for spreading dynamics in complex systems. Physics Reports 2026; 1171 doi: 10.1016/j.physrep.2026.01.006
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| 7 |
Rehab Meckawy, Heba M. T. El Weshahi, Eman Foda, Eman A. Sultan. Mortality surveillance as an early warning system for respiratory infection outbreaks: lessons from the COVID-19 pandemic in Alexandria, Egypt. Journal of the Egyptian Public Health Association 2026; 101(1) doi: 10.1186/s42506-025-00205-y
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| 8 |
Viswanathan Naveenkumar, Mangalanathan Vijaya Bharathi, Porteen Kannan, B.S. Pradeep Nag, Sureshkannan Sundaram, Nithya Quintoil Mohanadasse, Raghavendra G. Amachawadi, Muskan Dubey, Charley A. Cull, Chandan Shivamallu, Shiva Prasad Kollur, Ravindra P. Veeranna. Epidemiological insights into canine rabies in Chennai: Trends, forecasting and One Health implications. One Health 2025; 21 doi: 10.1016/j.onehlt.2025.101128
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| 9 |
Lucía Maza, Andrés M. Alonso, Carolina García-Martos. Artificial Intelligence in Biomedicine. Lecture Notes in Computer Science 2026; 16148 doi: 10.1007/978-3-032-10661-2_46
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| 10 |
Walter Wills, Kenneth Rosever, Andrew Bugajski, Amber Gallo, Peter Hinds, Lauren Morata. Assessing the Effectiveness of Multidisciplinary Interventions in Reducing Catheter-Associated Urinary Tract Infection: An Interrupted Time Series Modeling Approach. Journal of Nursing Care Quality 2026; doi: 10.1097/NCQ.0000000000000956
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| 11 |
Latchezar Tomov, Snejina Lazova, Hassan Ali, Dimitrina Miteva, Iren Tzotcheva, Tsvetelina Velikova. Time series analysis and modelling of MIS-C cases: can we predict MIS-C cases by new cases in the 0–18 age group?. Pharmacia 2026; 73 doi: 10.3897/pharmacia.73.e167298
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| 12 |
Mallela Ankamma Rao, Emad K. Jaradat, Medisetty Padma Devi, Prasantha Bharathi Dhandapani, Rebecca Muhumuza Nalule, Mohannad Al-Hmoud. Hybrid modeling and forecasting of COVID-19: integrating SEAIQHRD and GPR for improved predictions. BMC Infectious Diseases 2026; 26(1) doi: 10.1186/s12879-025-12494-x
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| 13 |
R Kanchana, F. Mary Harin Fernandez. Gaussian Mixture Model and Independent Component Analysis for Time varying Analysis. 2025 International Conference on Advanced Computing Technologies (ICoACT) 2025; doi: 10.1109/ICoACT63339.2025.11004952
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| 14 |
Maximiliano Barahona, Felipe Bustos, Jaime Hinzpeter, Francisco Urroz, Cristian Barrientos, Carlos A Infante, Macarena A Barahona. Evaluation of the Learning Curve in Robotic-Assisted Total Knee Arthroplasty: A Time-Series Analysis of Surgical Time. Cureus 2025; doi: 10.7759/cureus.84120
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| 15 |
Luyuan Chang, Xinyu Liu, Huan Wu, Jiaqi Yan, Nuo Chen, Haipeng Li, Wenzong Wu, Juan Chen, Jing Zhang. Alzheimer’s and other dementias attributable to hyperglycemia and high BMI worldwide, 1990–2021: GBD 2021 cross-sectional analysis and ARIMA forecasts. International Journal of Surgery 2026; 112(3) doi: 10.1097/JS9.0000000000004499
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| 16 |
Christine Deckart, Heribert Stich. Infektionsepidemiologische Effekte von Schulschließungen während der zweiten COVID-19-Pandemiewelle – Eine exemplarische Analyse innerhalb einer niederbayerischen Region. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024; 67(11) doi: 10.1007/s00103-024-03956-9
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| 17 |
Gabriela Georgieva Panayotova. Software Applications in Biomedicine: A Narrative Review of Translational Pathways from Data to Decision. BioMedInformatics 2026; 6(1) doi: 10.3390/biomedinformatics6010009
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| 18 |
Keila Vasthi Cortés-Martínez, Hugo Estrada-Esquivel, Alicia Martínez-Rebollar. Comparison Prediction Models Using Time Series in COVID-19 Infection in Mexico. Programming and Computer Software 2024; 50(8) doi: 10.1134/S0361768824700671
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| 19 |
Mustafa Ali, Almotasem Bellah Younis, Chichedo I. Duru, Samendra P. Sherchan. A review of AI/ML approaches in wastewater surveillance advancement. Science of The Total Environment 2026; 1015 doi: 10.1016/j.scitotenv.2026.181364
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| 20 |
Luyao Wang, Mohan Amarasiri, Wakana Oishi, Daisuke Sano. From wastewater to epidemiological insights: A systematic review of modeling strategies for infectious disease surveillance. Water Research 2026; 289 doi: 10.1016/j.watres.2025.124977
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| 21 |
Luís Antonio Lourenço, Pedro Matiucci Pereira, Martina Klippel Brehm, Leandro Pereira Garcia, Vinicius Faria Culman Ramos, João Artur De Souza. Modelos de séries temporais para predição da taxa de mortalidade neonatal. Journal of Health Informatics 2024; 16(Especial) doi: 10.59681/2175-4411.v16.iEspecial.2024.1348
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| 22 |
Chen-Rui Hsu, Hsiuying Wang. EWMA Control Chart Integrated with Time Series Models for COVID-19 Surveillance. Mathematics 2024; 13(1) doi: 10.3390/math13010115
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| 23 |
Bojie Gao, Shanrong Huang, Jie Luo, Wenping Liao, Yu Xin, Juan Lv, Lin Hu, Ping Zhang, Wen Zhang, Chuan Pu. Prediction of pulmonary tuberculosis case trends among older adults in Chongqing based on time series models. Frontiers in Public Health 2026; 14 doi: 10.3389/fpubh.2026.1839570
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| 24 |
Halil Çolak. Modelling Adult Obesity in China From 1975 to 2016: A Comparative Analysis of Growth Curves and Time Series Approaches. Karadeniz Fen Bilimleri Dergisi 2026; 16(1) doi: 10.31466/kfbd.1713450
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| 25 |
Sana Kalthoum, Mariem Handous, Imed Ben Sliman, Kaouther Guesmi, Haikel Hajlaoui, Wiem Khalfaoui, Aziz Ben Mbarek, Chafik Ben Salah, Mounir Bsir, Kaouther Oukaili, Mohamed Naceur Baccar. Forecasting dog rabies dynamics in Tunisia using time series models: insights for early warning systems. Frontiers in Tropical Diseases 2025; 6 doi: 10.3389/fitd.2025.1696368
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| 26 |
Uday J. Quaez, Javier E. Contreras-Reyes. Global Information Measure Based on Fractional Entropy with Application for COVID-19 Pandemic. Fluctuation and Noise Letters 2026; doi: 10.1142/S0219477526500422
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