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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]
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 Analysis2026; : 191 doi: 10.1007/978-3-032-06747-0_7
2
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 predictionsBMC Infectious Diseases 2026; 26(1) doi: 10.1186/s12879-025-12494-x
3
Hari Prakash Sritharan, Harrison Nguyen, Usaid Khalil Allahwala, Ravinay Bhindi. Cardiovascular presentations during the COVID-19 pandemic: an interrupted time series analysisJournal of Public Health 2025; 47(1): 3 doi: 10.1093/pubmed/fdae248
4
R Kanchana, F. Mary Harin Fernandez. Gaussian Mixture Model and Independent Component Analysis for Time varying Analysis2025 International Conference on Advanced Computing Technologies (ICoACT) 2025; : 01 doi: 10.1109/ICoACT63339.2025.11004952
5
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 TimeCureus 2025;  doi: 10.7759/cureus.84120
6
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 2021Frontiers in Endocrinology 2025; 16 doi: 10.3389/fendo.2025.1503144
7
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 forecastsInternational Journal of Surgery 2026; 112(3): 5954 doi: 10.1097/JS9.0000000000004499
8
Christine Deckart, Heribert Stich. Infektionsepidemiologische Effekte von Schulschließungen während der zweiten COVID-19-Pandemiewelle – Eine exemplarische Analyse innerhalb einer niederbayerischen RegionBundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024; 67(11): 1306 doi: 10.1007/s00103-024-03956-9
9
Gabriela Georgieva Panayotova. Software Applications in Biomedicine: A Narrative Review of Translational Pathways from Data to DecisionBioMedInformatics 2026; 6(1): 9 doi: 10.3390/biomedinformatics6010009
10
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 dataDiscover Public Health 2025; 22(1) doi: 10.1186/s12982-025-00573-y
11
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 systemsPhysics Reports 2026; 1171: 1 doi: 10.1016/j.physrep.2026.01.006
12
Keila Vasthi Cortés-Martínez, Hugo Estrada-Esquivel, Alicia Martínez-Rebollar. Comparison Prediction Models Using Time Series in COVID-19 Infection in MexicoProgramming and Computer Software 2024; 50(8): 648 doi: 10.1134/S0361768824700671
13
Mustafa Ali, Almotasem Bellah Younis, Chichedo I. Duru, Samendra P. Sherchan. A review of AI/ML approaches in wastewater surveillance advancementScience of The Total Environment 2026; 1015: 181364 doi: 10.1016/j.scitotenv.2026.181364
14
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, EgyptJournal of the Egyptian Public Health Association 2026; 101(1) doi: 10.1186/s42506-025-00205-y
15
Luyao Wang, Mohan Amarasiri, Wakana Oishi, Daisuke Sano. From wastewater to epidemiological insights: A systematic review of modeling strategies for infectious disease surveillanceWater Research 2026; 289: 124977 doi: 10.1016/j.watres.2025.124977
16
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 neonatalJournal of Health Informatics 2024; 16(Especial) doi: 10.59681/2175-4411.v16.iEspecial.2024.1348
17
Chen-Rui Hsu, Hsiuying Wang. EWMA Control Chart Integrated with Time Series Models for COVID-19 SurveillanceMathematics 2024; 13(1): 115 doi: 10.3390/math13010115
18
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 implicationsOne Health 2025; 21: 101128 doi: 10.1016/j.onehlt.2025.101128
19
Lucía Maza, Andrés M. Alonso, Carolina García-Martos. Artificial Intelligence in BiomedicineLecture Notes in Computer Science 2026; 16148: 617 doi: 10.1007/978-3-032-10661-2_46
20
Halil Çolak. Modelling Adult Obesity in China From 1975 to 2016: A Comparative Analysis of Growth Curves and Time Series ApproachesKaradeniz Fen Bilimleri Dergisi 2026; 16(1): 475 doi: 10.31466/kfbd.1713450
21
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 systemsFrontiers in Tropical Diseases 2025; 6 doi: 10.3389/fitd.2025.1696368
22
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: 1 doi: 10.3897/pharmacia.73.e167298