COVID-19 mortality associated with multidimensional poverty, ethnicities, and armed conflict in Colombia: retrospective observational study based on national records by Claudia Inés Birchenall-Jiménez, Claudia Inés Birchenall-Jiménez, Wilson Giovanni Jiménez-Barbosa, Javier Riascos-Ochoa, Federico Cosenz

“…A multilevel logistic regression model identified risk factors, reporting odds ratios (ORs) with 95% confidence intervals (CIs).ResultsBetween March 2020 and December 2022, 6,313,872 COVID-19 cases were recorded in Colombia. …”
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Assessing vaccine coverage and delivery strategies for influenza and COVID-19 among Italian healthcare workers: A 2015–2023 case study by Domenico Pascucci, Alberto Lontano, Eleonora Marziali, Giuseppe Vetrugno, Umberto Moscato, Patrizia Laurenti

“…Mixed effects logistic regression models evaluated the impact of sociodemographic and professional factors and organizational approaches on vaccine acceptance. …”
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Tranexamic acid did not attenuate the acute rise in plasma syndecan-1 in a severely injured cohort: a laboratory analysis of the PATCH clinical trial by Elissa M. Milford, Dusan Marjanovic, Heidi Ho, Steven Wallis, Dominik F. Draxler, Biswadev Mitra, Russell L. Gruen, Robert Medcalf, Stephen Bernard, Colin McArthur, Marc Meagele, Brian Burns, Dashiell Gantner, Michael C. Reade

“…Relationships between SDC-1 levels over time, treatment groups, and outcomes were analyzed using regression modelling controlling for potential confounding factors. …”
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Seasonal abundance and climatic determinants of Anopheles vectors in Sri Lanka: its implications in the malaria post-elimination era by Mihirini Hewavitharane, Gaya Ranawaka, M. D. J. S. Saparamadu, Risintha Premaratne, H. T. R. Jayasooriya

“…Spatial distribution and seasonality were analyzed using box plots, while the effects of climatic factors and collection site on malaria vectors were evaluated using negative binomial regression. …”
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The impact of supraspinatus tear on subscapularis muscle atrophy and fatty infiltration by Su Cheol Kim, Seung Jin Yoo, Je Hyeong Jo, Jong Hyun Lee, Eugene Baek, Sang Min Lee, Jae Chul Yoo

“…Background Aimed to report the prevalence and predisposing factors affecting subscapularis muscle atrophy and fatty infiltration (MAFI) in patients without a subscapularis tear, and to analyze the effect of this condition on surgical outcomes. …”
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Case-area targeted interventions and free chlorine residual in household drinking water: An observational cohort study during a cholera outbreak in Northeast Nigeria. by Lindsay Salem-Bango, Jennifer OKeeffe, Michael R Desjardins, Daniele Lantagne, Chiara Altare, Gurpreet Kaur, Kanaganathan Rangaiya, Patricia Oke-Oghene Obroh, Ahmadu Audu, Chimda Emmanuel Solomon, Thomas Heath, Emmanuel Emeka Ihemezue, Solomon Aye, Baptiste Lecuyot, Mustafa Sikder, Shannon Doocy, Melody Xiao, Paul B Spiegel

“…We tested differences in reported delivery and receipt of interventions, and household drinking water FCR concentrations before and after CATIs. We also analyzed the associated relationship between CATI and environmental factors and odds of FCR <0.2 mg/L using quasi-Poisson multivariate logistic regression models with generalized estimating equations (GEE). …”
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Epidemiological characteristics of pesticide poisoning in daily life in Tiantai County, Zhejiang Province from 2015 to 2023 by XU Chenyi, GE Junhua, CHEN Xia, MAO Jiani

“…The results of binary logistic regression analysis indicated that age and types of pesticide poisoning may be the independent risk factors affecting the fatality of pesticide poisoning in daily life.ConclusionPesticide poisoning occurred frequently in Tiantai County over the years, and mainly occurred in summer, rural areas. …”
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Prognostic value and predictive model construction for patients undergoing laparoscopic radical prostatectomy based on the preoperative NPL-IRS score and prognostic nutritional ind... by Hao Wang, Pu-shen Yang, Yi-rui Wei, Da-wei Xie, Si-qi Wang, Wei-feng He, Wei Wang, Jian-wen Wang

“…Univariable and multivariable Cox regression risk models were used to identify independent risk factors. …”
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Exploring Respectful Maternity Care and its determinants: a mixed methods cross-sectional study from a rural area in central India by Chullithala Athira, Anindo Majumdar, Roshan F. Sutar, Bharti Singh, Parvathy Thampy, Ashlesh Rupani, Deepti Dabar

“…Quantitative data were analyzed using logistic regression and qualitative data through thematic analysis. …”
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Rates of fear of childbirth after previous cesarean section in Dire Dawa City, Ethiopia by Ayantu Kedir, Habtamu Bekele, Maleda Tefera

“…FOC was assessed using the Wilma Delivery Expectancy Questionnaire (W-DEQ-A), which comprises 33 items rated on a 6-point Likert scale, ranging from low to severe FOC, and data were analyzed using multivariable ordinal regression. Results: A total of 314 pregnant women participated in this study, with a response rate of 99.3%. …”
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Patterns of physical activity and sedentary behavior among Brazilian schoolchildren: analysis based on types of behavior by Lizziane Andrade Dias, Gilmar Mercês de Jesus, Graciete Oliveira Vieira

“…The associations between PA and SB patterns and age (7–9 years old; 10–12 years old), school shift (morning; afternoon), and weekly attendance PEC (0/week; 1/week; ≥2/week) were analyzed by Logistic Regression. Results Among girls, two distinct patterns emerged: “Active players” (n = 549, 44.1%) and “Sedentary/Household chores performers” (n = 697, 55.9%); and three patterns among boys: “Active play/Structured PA practitioners” (n = 322, 29.8%), “Sedentary on screen” (n = 369, 34.1%), and “Sedentary on academic tasks” (n = 390, 36.1%). …”
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Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand by Guangmei Yang, Guangdong Wang, Leping Wan, Xinle Wang, Yan He

“…Based on questionnaire information combined with feature selection, unbalanced data processing and machine learning methods, this study constructed a machine learning model for predicting the demand for medical and daily care services for the elderly, and analyzed the influencing factors of the demand for medical and daily care services for the elderly, providing a reference for the construction and verification of future prediction models for the demand for medical and daily care services for the elderly.…”
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Effect of repeated controlled ovarian stimulation on pregnancy outcomes in fresh embryo transfer cycles: a retrospective cohort study by Shiming Wang, Xiaoli Chen, Ningning Wang, Yingchun Su, Lin Qi

“…Results Among populations with different numbers of COS cycles, regression analyses found that the number of COS cycles had no significant impact on pregnancy outcomes (p > 0.05) after adjusting for confounding factors. …”
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The predictive utility of the E-PASS score for postoperative complications in robot-assisted partial nephrectomy: a retrospective cohort study by Cagatay Ozsoy, Erhan Ates, Resat Inal, Mucahit Gelmis, Sahin Kilic, Mutlu Ates

“…Existing nephrometry scores focus on tumor anatomy but neglect patient-specific and intraoperative factors. The Estimation of Physiologic Ability and Surgical Stress (E-PASS) score, originally developed for gastrointestinal surgery, combines physiological and surgical parameters for the prediction of postoperative risk. …”
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Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model by Ting XU, Juan QIAN, Yishuo GU, Daozheng DING, Jianjian QIAO, Yong QIAN, Xiaojun ZHU, Jingguang FAN

“…Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. …”
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Spatial Analysis of the Concentration of Knowledge-Based Firms in Iran by Najmoddin Yazdi, Mahdi Fateh-rad, Jamal Kadkhodapour, Siamak Tahmasbi

“…Conversely, clusters of low concentrations were observed in Hormozgan and Ilam provinces.We utilized the OLS regression model to analyze the conditions and factors influencing the concentration of knowledge-based companies in specific regions. …”
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Statistical models for predicting the number of under-five mortality in Nepal. by Madhav Kumar Bhusal, Shankar Prasad Khanal

“…The zero-inflated negative binomial regression (ZINBR) model was fitted as the most plausible model to analyze the number of under-five mortality by its covariates after assessing the different count models including the Poisson regression (PR) model, negative binomial regression (NBR) model, zero-inflated negative binomial regression (ZINBR) model, and hurdle negative binomial regression (HNBR) model.…”
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Driving Forces and Future Scenario Simulation of Urban Agglomeration Expansion in China: A Case Study of the Pearl River Delta Urban Agglomeration by Zeduo Zou, Xiuyan Zhao, Shuyuan Liu, Chunshan Zhou

“…Geographic detector analysis demonstrated pronounced interaction effects: all factor pairs exhibited either two-factor enhancement or nonlinear enhancement effects, with interaction explanatory power surpassing individual factors. (3) Validation of the Patch-generating Land Use Simulation (PLUS) model showed high reliability (Kappa coefficient = 0.9205, overall accuracy = 95.9%). …”
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Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria by Olalekan J. Taiwo, Joshua O. Akinyemi, Ayodeji Adebayo, Oluwafemi A. Popoola, Rufus O. Akinyemi, Onoja M. Akpa, Paul Olowoyo, Akinkunmi P. Okekunle, Ezinne O. Uvere, Omotolani Titilayo Ajala, Chukwuemeka Nwimo, Olayinka J. Adebajo, Adewale E. Ayodele, Ayodeji Salami, Oyedunni S. Arulogun, Olanrewaju Olaniyan, Richard W. Walker, Carolyn Jenkins, Bruce Ovbiagele, Mayowa Owolabi

“…Spatial patterns were analyzed using the Nearest Neighbour Statistic, Ripley K Function, and Kernel Density Estimation, while Binomial logistic regression identified predictors. …”
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Clinical characteristics and prognosis of anti-MDA5 antibody positive dermatomyositis patients with secondary interstitial lung disease by MA Zongbo, ZHAO Cheng, QIN Fang, CHEN Zhanrui, PAN Dongmei, ZENG Wen, LIAO Xiaoling, LEI Ling

“…Objective To analyze the clinical characteristics and prognostic factors of anti-melanoma differentiation-associated gene 5 (MDA5)-positive dermatomyositis (DM) patients with secondary interstitial lung disease (ILD). …”
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