Agent based modelling of blood borne viruses: a scoping review by Seun Ale, Elizabeth Hunter, John D. Kelleher

“…Abstract Background The models that historically have been used to model infectious disease outbreaks are equation-based and statistical models. However, these models do not capture the impact of individual and social factors that affect the spread of common blood-borne viruses (BBVs) such as human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B virus (HBV). …”
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Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherenc... by Asim Zia, Arthur Brassart, Sheila Thomas, Fen Ye, Judith J. Stephenson, C. Daniel Mullins, Christopher A. Jones

“…**Conclusions:** HIRD data reveal mean adherence rate of 59% (SD 29%), providing the evidence for the opportunity to increase adherence rate by around 40%. Statistical modeling results reveal structural determinants, such as the opportunity to nudge, are higher among younger patients, as they have higher probability of being non-adherent. …”
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Assessment of heavy metal pollution and spatial distribution in waterfalls of Chattogram district, Bangladesh: Implications for drinking and irrigation purposes by Abdur Rouf Azad, Md. Rezaul Karim, Md. Refat Jahan Rakib, Md. Ripaj Uddin

“…Heavy Metal Pollution Indices (HPIs) and multivariate statistical models (PCA, CA, and Pearson correlation) were applied to evaluate spatial-temporal variations, distribution, and pollution sources. …”
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Decoding airway granulogenesis in children: unveiling risk factors for tracheobronchial foreign body aspiration and complications by Yuting You, Meili Shen, Li’e Zeng, Jingyang Zheng

“…The solid foreign bodies were mostly nut foreign bodies, the location of implantation was the left lung rather than the right lung in many patients, and complications such as pulmonary atelectasis, emphysema, mediastinal and subcutaneous emphysema, and granulomatous tissue formation were noted in these patients. Statistical models suggested that the time of foreign body impaction and the release of oil were risk factors for tracheal granulation, with the logistic model presenting an AUC of 0.948, precision of 0.676, and sensitivity of 0.895, whereas the XGBoost model presented an AUC of 0.902, precision of 0.912, and sensitivity of 0.875. …”
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Bacteriological Contamination of Drinking Water Supply from Protected Water Sources to Point of Use and Water Handling Practices among Beneficiary Households of Boloso Sore Woreda,... by Matusala Gizachew, Amha Admasie, Chala Wegi, Etagegnehu Assefa

“…Descriptive and logistic regression statistical models were used. Sixty percent of shallow wells, 60% of protected hand-dug wells, and 25% of protected on-spot springs were found positive for faecal coliform. …”
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Serological insights from SARS-CoV-2 heterologous prime and boost responses in Thailand by Daniel Ward, Lapasrada Pattarapreeyakul, Rujiraporn Pitaksalee, Naphatcha Thawong, Waritta Sawaengdee, Suthida Tuntigumthon, Catriona Patterson, Kevin Tetteh, Susana Campino, Panadda Dhepakson, Surakameth Mahasirimongkol, Taane G. Clark

“…The development of statistical models to predict breakthrough infections can improve serological surveillance. …”
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Optimization of the Formulation of Rice Biscuits Supplemented with D. Edulis (L.) Powder Using Response Surface Methodology by Eliane Flore Eyenga, Hippolyte Tene Mouafo, Mercy Bih Loh Achu, Wilfred F. Mbacham, Sali Atanga Ndindeng

“…The effect of substituting margarine and refined wheat flour with D. edulis powder locally called safou and rice flour, respectively, at different proportions was assessed for the sensory and physicochemical properties of the formulated biscuits. For this, statistical models were developed, validated, and optimized using the response surface methodology with the Doehlert design as a tool. …”
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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

“…Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. …”
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Low back pain trends attributable to high body mass index over the period 1990–2021 and projections up to 2036 by Jiling Zhang, Baodong Wang, Congying Zou, Tianyi Wang, Lihui Yang, Yu Zhou

“…A Bayesian age-period cohort (BAPC) model was used to assess the corresponding trends from 2022 to 2036. Additionally, statistical models, such as decomposition analysis and frontier analysis, were used.ResultsAccording to the GBD 2021, the number of DALYs caused by LBP attributed to high BMI reached 8,363,759 in 2021, which is an increase of 170.97% since 1990. …”
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Distance to Specialist Medical Care and Diagnosis of Obstructive Sleep Apnea in Rural Saskatchewan by Catherine M. Spagnuolo, Michael McIsaac, James Dosman, Chandima Karunanayake, Punam Pahwa, William Pickett

“…Follow-up occurred until 2015. 6525 adults from 3731 households constituted our sample. Statistical models used log-binomial regression. Rural adults who reported the largest travel distances (≥250 km) to specialist medical care were 1.17 (95% CI: 1.07, 1.29) times more likely to report OSA symptoms in the absence of a sleep apnea diagnosis than those who reported the smallest (<100 km; referent) distances. …”
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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

“…It is difficult to characterize the time-varying characteristics of mmWave channels through statistical models, e.g. slope-intercept models for path loss and lognormal models for delay spread and angular spread. …”
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The Risk of Escalating Cyberattacks and Financial Fraud During Wartime: The Maturity of The County's Judicial System in Combating Cyber and Financial Crimes by Hanna Yarovenko, Iryna Pozovna, Roman Bylbas

“…Using data from the General Prosecutor's Office of Ukraine (2014–2024), the study employs quantitative analyses, including maturity index calculations, trend assessments, and lag analysis through statistical modelling. Key offense categories include unauthorized system interference, malicious software distribution, and restricted information dissemination. …”
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Assessing the financial burden of multimorbidity among patients aged 30 and above in India by Sudheer Kumar Shukla, Pratheeba John, Sakshi Khemani, Ankur Shaji Nair, Nishikant Singh, Rajeev Sadanandan

“…We assessed multimorbidity prevalence, OOPE, CHE incidence, and CHE intensity. Statistical models, including linear, log-linear, and logistic regressions, were used to examine the financial risk, with a focus on non-communicable diseases (NCDs), healthcare facility choice, and socioeconomic status and Epidemiological Transition Levels (ETLs). …”
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Viral and immune dynamics of genital human papillomavirus infections in young women with high temporal resolution. by Nicolas Tessandier, Baptiste Elie, Vanina Boué, Christian Selinger, Massilva Rahmoun, Claire Bernat, Sophie Grasset, Soraya Groc, Anne-Sophie Bedin, Thomas Beneteau, Marine Bonneau, Christelle Graf, Nathalie Jacobs, Tsukushi Kamiya, Marion Kerioui, Julie Lajoie, Imène Melki, Jean-Luc Prétet, Bastien Reyné, Géraldine Schlecht-Louf, Mircea T Sofonea, Olivier Supplisson, Chris Wymant, Vincent Foulongne, Jérémie Guedj, Christophe Hirtz, Marie-Christine Picot, Jacques Reynes, Vincent Tribout, Édouard Tuaillon, Tim Waterboer, Michel Segondy, Ignacio G Bravo, Nathalie Boulle, Carmen Lía Murall, Samuel Alizon

“…Using hierarchical Bayesian statistical modelling to simultaneously analyse the data from 164 HPV infections from 76 participants, we show that in two months after infection, HPV viral load in non-persisting infections reaches a plateau that lasts on average for 13 to 20 months (95% credibility interval) and is then followed by a rapid clearance phase. …”
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Predictive modeling to evaluate long-term treatment effectiveness of darvadstrocel in patients with complex perianal fistulas in Crohn’s disease by Chitra Karki, Gary Hantsbarger, Erika Turkstra, Elisabetta Fenu, Ken Genenz, Inmaculada Gilaberte, Julián Panés

“…Methods Data were pooled from a clinical trial (ADMIRE-CD) and two retrospective chart review studies (INSPECT and PREFACE). Predictive statistical models extrapolated clinical outcomes beyond observed follow-up using parametric curves, which were implemented into a semi-Markov model to obtain the number of patients in remission. …”
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Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study by Jinhao Liao, Linjie Wang, Lian Duan, Fengying Gong, Huijuan Zhu, Hui Pan, Hongbo Yang

“…Model evaluation showed better performance in fully adjusted models than basic models[C-statistics(Model 3 vs. Model 1): CVD(0.683 vs. 0.814), CAD(0.672 vs. 0.807), CHF(0.714 vs. 0.839) and stroke(0.660 vs. 0.790)]. …”
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A multi-omics strategy to understand PASC through the RECOVER cohorts: a paradigm for a systems biology approach to the study of chronic conditions by Jun Sun, Masanori Aikawa, Hassan Ashktorab, Noam D. Beckmann, Noam D. Beckmann, Michael L. Enger, Joaquin M. Espinosa, Xiaowu Gai, Xiaowu Gai, Benjamin D. Horne, Benjamin D. Horne, Paul Keim, Paul Keim, Paul Keim, Jessica Lasky-Su, Rebecca Letts, Cheryl L. Maier, Meisha Mandal, Lauren Nichols, Nadia R. Roan, Nadia R. Roan, Mark W. Russell, Jacqueline Rutter, George R. Saade, George R. Saade, Kumar Sharma, Kumar Sharma, Stephanie Shiau, Stephen N. Thibodeau, Samuel Yang, Lucio Miele, NIH Researching COVID to Enhance Recovery (RECOVER) Consortium

“…This approach will minimize lab-to-lab technical variability, maximize sample size for class discovery, and enable the incorporation of as many relevant variables as possible into statistical models. Many of our recommendations have already been considered by the NIH through the peer-review process, resulting in the creation of a systems biology panel that is currently designing the studies we proposed. …”
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Synergistic antimicrobial activity of essential oils mixture of Moringa oleifera, Cinnamomum verum and Nigella sativa against Staphylococcus aureus using L-optimal mixture design by Samah H. Abu-Hussien, Antony R. Nasry, Ziad Samy, Salwa M. El-Sayed, Ashraf Bakry, Naglaa Ebeed, Hesham Elhariry, Thanaa ElNoby

“…The present study aims to evaluate the antimicrobial potential of the essential oils (EOs) of Moringa oleifera (moringa), Cinnamomum verum (cinnamon), and Nigella sativa (black seed) and the synergistic effect of the mixture of these oils against Staphylococcus aureus MCC 1351. Statistical modeling revealed cinnamon oil had the highest individual antimicrobial potency, followed by black seed oil. …”
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Proximity or Directional Model of Voting for the Turkish Voter? by Murat İnan, Gül Arıkan Akdağ

“…Comparing explanatory powers of the statistical models showed that, contrary to the findings of MacDonald and his colleagues, the proximity model of voting is a more appropriate tool than the directional model to explain voting behavior in Türkiye. …”
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Psychometric characteristics and feasibility of microinteraction-based Ecological Momentary Assessment in audiology research by Yu-Hsiang Wu, Elizabeth Stangl, Samuel Smith, Jacob Oleson, Christi Miller, Octav Chipara

“…Participants provided feedback on their experience with micro-EMA.ResultsIn the dual-task experiment, participants reported improved hearing performance in micro-EMA as SNRs and speech recognition scores increased across all three response formats, supporting the tool's construct validity. Statistical models indicated that the 5-point and 10-point scales yielded larger relative changes between SNRs, suggesting higher responsiveness, compared to the 2-point scale. …”
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