COVID-19 vaccine coverage among adults in Sarlahi District of Nepal in 2022. by Porcia Manandhar, Joanne Katz, Tsering Pema Lama, Subarna K Khatry, William J Moss, Daniel J Erchick

“…Descriptive analyses included a summary of vaccination coverage, vaccine card availability, drop-out rate, and vaccine manufacturer. Multivariable regression modeling was used to analyze factors associated with completing the primary vaccination series. …”
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Higher red cell distribution width (RDW) is associated with increased all-cause and cardiovascular mortality in patients with breast cancer: A retrospective analysis of NHANES data... by Xuan Liu, Hao Wu, Saiqian Zhang, Zhu Zhu, Chao Liu, Jinmin Cao

“…<h4>Methods</h4>A retrospective cohort study was performed using data from 15,806 participants in the NHANES dataset. Multivariable Cox regression models were used to analyze demographic, socioeconomic, clinical, and laboratory factors, with adjustments for potential confounders. …”
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Association of Hematological and Biochemical Parameters with Clinical Profile of COVID-19 Patients in Visakhapatnam, India by Himavathy Kodandarao Gara, Dharma Rao Vanamali, Adhikarla Surya Veeramani Kartheek

“…Timely management of patients with dismal prognosis may improve their clinical outcome. The study aimed to analyze the hematological and biochemical parameters among COVID-19 patients and the factors associated with laboratory changes and COVID-19 infection. …”
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Study of model construction of fuel production from waste plastic pyrolysis based on machine learning by CHEN Sihan, YUAN Zhilong, WANG Ye, SUN Yifei*

“…A machine-learning approach was applied to utilize data from non-catalytic and molecular sieve catalytic processes and to build a model for analyzing raw material pyrolysis. The Gradient Boosting Regression (GBR) algorithm has the best fitting performance for predicting oil yield (R^2=0.91, RMSE=7.78), while the adaptive boosting algorithm (AdaBoost) has the best fitting performance for predicting gas yield (R^2=0.83, RMSE=6.42), enabling accurate prediction of reaction conditions. …”
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Disparities in delivery of ophthalmic care; An exploration of public Medicare data. by Cecilia S Lee, Grace L Su, Douglas M Baughman, Yue Wu, Aaron Y Lee

“…<h4>Conclusions</h4>A large discrepancy exists in cataract delivery to the Medicare population based on geographic factors. Patients who live in rural areas travel farther on average to see ophthalmologists, resulting in a lower observed than expected rate of cataract surgery. …”
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Spatial analysis of hypertension’s awareness, treatment and control in India: evidence from national family health survey 2019-21 by Priti, Rahul Kumar, Kunal Keshri, Ankit Gupta

“…The binary Logistic regression statistical method is employed to analyze the data, and the geospatial method—spatial autocorrelation has been used to explore the spatial relationship between variables of hypertension and spatial units. …”
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Diet quality of Chilean schoolchildren: How is it linked to adherence to dietary guidelines? by Anna Christina Pinheiro Fernandes, Jacqueline Araneda Flores, Daiana Quintiliano Scarpelli Dourado, Tito Pizarro Quevedo, Maria Rita Marques de Oliveira

“…Associations between dependent and independent variables, and potential confounding factors were calculated using logistic regression models with stepwise backward/forward. …”
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Investigating the Relationship Between Anxiety and Depression With Disease-related Lifestyle in Elderly Patients With Prostate Cancer by Reyhane Karegar-Niavol, Zahra Fotokian, Fatemeh Ghaffari, Ali Saravi, Farzan Kheirkhah

“…The statistical tests of analysis of variance, independent t-test, Pearson correlation coefficient, and multiple regression were used to analyze data in SPSS software, version 18 software. …”
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Climate Variability and Farmers’ Perception in Southern Ethiopia by Befikadu Esayas, Belay Simane, Ermias Teferi, Victor Ongoma, Nigussie Tefera

“…The study applied a nonparametric Sen’s slope estimator and Mann–Kendall’s trend tests to detect the magnitude and statistical significance of climate variability and binary logit regression model to find factors influencing farm households’ perceptions about climate variability over three agroecological zones (AEZs). …”
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ASSESSMENT OF THE EFFECTS OF CLIMATE CHANGE ON THE LIVELIHOODS AND ADAPTATION STRATEGIES OF RURAL WOMEN IN KWARA STATE, NIGERIA by O. J. Yusuf, L. K. Olatinwo, O. E. Aiyedun

“…This study investigated the effects of climate change on the livelihoods and adaptation strategies of rural women in Kwara State, Nigeria, analyzing data from 124 women farmers through a structured questionnaire and employing descriptive statistics and regression analysis. …”
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The Effect of Competence, Workload and Compensation on the Performance of Family Assistance Team (FAT) Cadres in Reducing the Risk of Stunting in the Buleleng District Area by I Putu Aprilia Pratama, Henry Sudiyanto, Eka Diah Kartiningrum, Sulis Diana

“…Background: Stunting as a health problem is influenced by various factors including inappropriate nutrition and feeding practices. …”
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Determination of the temporary disability duration in patientswith acute myocardial infarction depending on the body mass index by M. Yu. Koteliukh

“…Aim. To identify risk factors affecting the temporary disability duration in AMI patients depending on body mass index (BMI). …”
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The genetic overlap and causal relationship between attention deficit hyperactivity disorder and obstructive sleep apnea: a large-scale genomewide cross-trait analysis by Yao Tong, Yan-Jing Chen, Guang-Bin Cui

“…Finally, we revealed the anatomical change on which genetic overlap relies and further explored whether genetic factors exert a causal effect. Results After using both linkage disequilibrium score regression (LDSC) and High-definition likelihood inference (HDL) methods, we identified a significant genetic correlation between OSA and ADHD (PLDSC = 2.45E-28, PHDL = 1.09E-25), demonstrating a consistent direction. …”
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Leveraging Artificial Intelligence to Uncover Symptom Burden in Palliative Care: Analysis of Nonscheduled Visits Using a Phi-3 Small Language Model by Javier Retamales, Juan Pablo Retamales, Ana Maria Demarchi, Marcela Gonzalez, Caroll Lopez, Nina Ramirez, Tamara Retamal, Virginia Sun

“…Multivariate linear regression was used to analyze the association of age, cancer type, and insurance category with the presence of symptoms.RESULTSSLM demonstrated high sensitivity (99.4%) and accuracy (95.3%) in identifying symptom-driven NSVs. …”
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The nomograph predicting the recurrence of Solid Pseudopapillary Neoplasm of the Pancreas: a study of the SEER database and a Chinese cohort by Qidong Pei, Junzong Chen, Gang Deng, Dong Li, Yajun Tang, Jiaming Lai, Di Tang

“…We collected data from our two hospitals as an external validation cohort from the years 2011 to 2021. Logistic regression analysis was used to analyze the related factors of recurrence, and a predictive nomograph model was established and verified. …”
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Unsupervised machine learning revealed a correlation between low-dose statins and favorable outcomes in ICH patients by Chaohua Cui, Haoye Guan, Tonghua Long, Yuru Liang

“…We employed unsupervised machine learning methods and found that low-dose statins improve the prognosis of ICH.MethodsWe employed unsupervised machine learning techniques to analyze unidentified factors within a retrospective cohort related to the prognosis of ICH. …”
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A mixed method impact assessment of the use of aerial logistics to improve maternal health and emergencies outcomes in the Ashanti Region of Ghana by Pedro Kremer, Florence Haruna, Christina Briegleb, Maame Esi Amoah, Kenneth Fosu Oteng, Stephanie Boadi, Samuel Dwomoh, Adwoa Bentil, Emmanuel Tinkorang

“…Statistical analysis involved univariate explorations, T-tests, ANOVAs, and Zero-Inflated Poisson regressions, adjusting for factors like poverty. The qualitative study was to describe and analyze changes in providers’ and patients’ satisfaction, perceived quality across maternal health and health emergencies, and experiences using or being treated with the aerial logistics. …”
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Effects of RAAS blockade on acute kidney injury in head and neck cancer patients post-chemoradiotherapy by Yi-Ting Chen, Yao-Hung Kuo, Chih-Feng Lin, Chun-Wei Wang, Chiao-Ling Tsai

“…Clinical data and demographics were retrieved. Cox regression models were employed to analyze primary outcomes, including AKI and patient survival. …”
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Epidemiology of Burkholderia pseudomallei, Streptococcus suis, Salmonella spp., Shigella spp. and Vibrio spp. infections in 111 hospitals in Thailand, 2022. by Charuttaporn Jitpeera, Somkid Kripattanapong, Preeyarach Klaytong, Chalida Rangsiwutisak, Prapass Wannapinij, Pawinee Doungngern, Papassorn Pinyopornpanish, Panida Chamawan, Voranadda Srisuphan, Krittiya Tuamsuwan, Phairam Boonyarit, Orapan Sripichai, Soawapak Hinjoy, John Stelling, Paul Turner, Wichan Bhunyakitikorn, Sopon Iamsirithaworn, Direk Limmathurotsakul

“…We evaluated factors associated with the incidence of notifiable bacterial diseases (NBDs) caused by 11 pathogens; including Brucella spp., Burkholderia pseudomallei, Corynebacterium diphtheriae, Neisseria gonorrhoeae, Neisseria meningitidis, non-typhoidal Salmonella spp. …”
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Psychosocial Variables Associated with Postpartum Depression in Breastfeeding Women: A Prospective Study by Patricia Catala, Lorena Gutiérrez, Carmen Ecija, Cecilia Peñacoba

“…Background: To analyze (Aim 1) if there is an association between maintaining breastfeeding for 4 months after delivery and postpartum depression (n = 160) and (Aim 2) what sociodemographic, obstetric and psychosocial factors are associated to the presence of postpartum depression among the women who continue to breastfeed for 4 months after delivery (n = 81). …”
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