Intention to Catha edulis chewing cessation and associated factors among Catha edulis chewers of Bahir Dar University students, Northwest Ethiopia: Application of the Trans theoret... by Misgie Fetene, Zeamanuel Anteneh Yigzaw, Habtamu Wondiye, Rahel Mulatie Anteneh, Almaw Genet Yeshiwas, Getasew Yirdaw, Berhanu Abebaw Mekonnen, Meron Asmamaw Alemayehu, Chalachew Yenew, Gashaw Melkie Bayeh, Anley Shiferaw Enawgaw, Amare Genetu Ejigu, Habitamu Mekonen, Abebaw Molla Kebede, Tilahun Degu Tsega, Getaneh Atikilt Yemata, Abathun Temesgen, Asaye Alamneh Gebeyehu, Sintayehu Simie Tsega, Ahmed Fentaw Ahmed

“…Epi Data version 4.6 was used for data entry, and SPSS version 26 was used for analysis. Binary logistic regression analysis was performed. …”
Get full text

Women’s unemployment in urban Ethiopia: bayesian multilevel model approach by Buzuneh Tasfa Marine, Mihiret Genene Zewde

“…The study employed Bayesian multilevel binary logistic regression with random coefficient models, selecting models based on the lowest DIC values. …”
Get full text

Glaucoma medication non-adherence rate and associated barriers among glaucoma patients in Hawassa, Ethiopia by Balcha Negese Kebede, Seid Mohammed Seid, Biruktayit Kefyalew, Eyerus Gesese

“…Mean age of the study participants was 60.2 ± 3.17SD years. The majority came from rural areas (186 (54.71%). …”
Get full text

Patient satisfaction with healthcare services and associated factors at public health centers in Addis Ababa, Ethiopia by Getachew Tollera, Mulumebet Tadesse Retta, Aderajew Mekonnen Girmay

“…Binary and multivariable logistic regression analyses were conducted. …”
Get full text

Timeliness of the second dose of measles-containing vaccine uptake and its determinants among children aged 24–36 months in Gondar City, Northwest Ethiopia, 2023: Community-based c... by Molalign Aligaz Adisu

“…A binary logistic regression model was utilized to determine factors associated with the outcome, with significance declared at a p-value <0.05. …”
Get full text

Ransomware Family Attribution With ML: A Comprehensive Evaluation of Datasets Quality, Models Comparison, and a Simulated Deployment by Emilio Rios-Ochoa, Jesus Arturo Perez-Diaz, Enrique Garcia-Ceja, Gerardo Rodriguez-Hernandez

Get full text

The importance of factors influencing elderly using of preventive services of traditional Chinese medicine by Chen Yan, Shen Dequan, Sheng Renlei, Chang Yujie, Yang Jiaqi, Ding Jie, Sun Zhifang, Wang Dahui

Get full text

Detecting Symptoms and Dispersal of Pine Tortoise Scale Pest in an Urban Forest by Remote Sensing by Marco Bascietto, Gherardo Chirici, Emma Mastrogregori, Loredana Oreti, Adriano Palma, Antonio Tiberini, Sabrina Bertin

Get full text

Multicentre double-blind randomised placebo-controlled four-arm trial to assess the effect of oral sodium bicarbonate and intravenous hyoscine butylbromide on spontaneous delivery... by Anne Flem Jacobsen, Trond Melbye Michelsen, Elisabeth Balstad Magnussen, Nina Gunnes, Ragnar Kvie Sande, Camilla Haavaldsen, Ingvil Krarup Sørbye, Aslak Vimme Solhoff, Jørg Kessler, Anne Molne Kjøllesdal, Åse Torunn Revholdt Pettersen, Katrine Dønvold Sjøborg, Marte Eline Ween-Velken, Lisa Tangnes Leeves, Tonje Lippert, Elisabeth Magnussen, ÅseTorunn Revholt Pettersen, Marte Ween-Velken

“…Treatment will start on diagnosis of established labour with a maximum of three consecutive doses 4 hours apart. Approximately 5100 women will be screened to achieve 3000 participants randomly assigned to study intervention.Statistical analyses The primary outcome of spontaneous delivery will be analysed using binary logistic regression. …”
Get full text

Causal inference methodologies to assess the effect of missed clinic visits on treatment success rate among people with tuberculosis in rural Uganda by Jonathan Izudi, Adithya Cattamanchi, Francis Bajunirwe

“…Abstract Background Although randomized controlled trials are the gold standard design for cause-effect analysis, high costs and challenges around practicability, feasibility, and ethics may limit their use. …”
Get full text

Explainable machine learning models for mortality prediction in patients with sepsis in tertiary care hospital ICU in low- to middle-income countries by Saumya Diwan, Vinay Gandhi, Esha Baidya Kayal, Puneet Khanna, Amit Mehndiratta

Get full text

Bridging the Gap: Limitations of Machine Learning in Real-World Prediction of Heavy Metal Accumulation in Rice in Hunan Province by Qing-Qian Peng, Xia Zhou, Hang Zhou, Ye Liao, Zi-Yu Han, Lu Hu, Peng Zeng, Jiao-Feng Gu, Rong Zhang

Get full text

Attitudes of nurses toward telenursing and influencing factors in resource-limited settings: Northwest Ethiopia 2022 by Fikadu Wake Butta, Biniyam Chaklu Tilahun, Berhanu Fikadie Endehabtu, Adamu Ambachew Shibabaw, Alex Ayenew Chereka, Ayenew Sisay Gebeyew, Mekides Molla Reda, Gemeda Wakgari Kitil, Teshome Demis Nimani

Get full text

Health-promoting lifestyle behaviors and their associated factors among pregnant women in Debre Markos, northwest Ethiopia: a cross-sectional study by Getachew Tilaye Mihiret, Belsity Temesgen Meselu, Kumlachew Solomon Wondmu, Temesgen Getaneh, Nurilign Abebe Moges

Get full text

Retained versus removed copper intrauterine device during pregnancy: An updated systematic review and meta‐analysis by Gabriela Oliveira Gonçalves Molino, Ana Clara Felix de Farias Santos, Maírla Marina Ferreira Dias, Ana Gabriela Alves Pereira, Nicole dos Santos Pimenta, Pedro Henrique Costa Matos da Silva

Get full text

Kinesiophobia and associated factors among people with musculoskeletal disorders in Ethiopia: a multicenter cross-sectional study by Yazachew Mekonnen, Moges Gashaw, Yohannes Abich, Mihret Dejen Takele, Samuel Teferi Chanie, Dechasa Imiru Wayessa, Sisay Deme, Alemu Kassaw Kibret

“…Result The overall prevalence of kinesiophobia among MSD patients was 48.3% (95% CI, 43.3–53.3). Being overweight and obese BMI value (AOR = 3.98; 95% CI, 2.17–7.29), having moderate pain level (AOR = 3.31; 95% CI, 1.51–7.26), having severe pain level (AOR = 9.29; 95% CI, 3.79–22.77), physical inactivity (AOR = 3.00; 95% CI = 1.84–4.89), anxiety (AOR = 2.57; 95% CI = 1.57–4.19), and depression (AOR = 8.21; 95% CI = 3.47–19.46) were significantly associated with kinesiophobia among musculoskeletal disorder patients. …”
Get full text

Prevalence of problematic khat use and its associated factors among high school students in Legambo woreda, Ethiopia by Bihonegn ligaba, Minale Tareke, Almaz Mamaru, BirhanuAssefa Fentahun

“…Factors associated with PKU included exposure to traumatic events (AOR = 3.1, 95% CI: 1.7–4.9), age < 20 years (AOR = 4.9, 95% CI: 2.1–11.6), age 20–24 years (AOR = 3.2, 95% CI: 1.4–7.1), poor social support (AOR = 2.2, 95% CI: 1.1–4.3), depression (AOR = 0.4, 95% CI: 0.2–0.8), paternal substance use (AOR = 0.4, 95% CI: 0.2–0.6), and satisfactory academic performance (AOR = 3.1, 95% CI: 1.4–6.7). …”
Get full text

Poor sleep quality and associated factors among HIV-positive and negative postpartum women in Addis Ababa, Ethiopia: a comparative cross-sectional study by Milen Mihertabe, Alehegn Bishaw Geremew, Alehegn Bishaw Geremew, Elsa Awoke Fentie, Gidey Rtbey

“…Being HIV-positive [AOR = 2.38, 95% CI (1.31, 4.32)], being divorced [AOR = 4.5, 95% CI (1.55, 13)], and having a family history of mental illness [AOR = 1.89, 95% CI (1.16, 3.1)], depression [AOR = 1.93 (1.11, 3.3)], and anxiety [AOR = 2.76, 95% CI (1.8, 4.2)] among postpartum women and poor social support [AOR = 6, 95% CI (1.63, 22.4)] among HIV-positive women were significantly associated with poor sleep quality.Conclusion and recommendationThis study revealed that the prevalence of poor sleep quality was higher among HIV-positive postpartum women compared to HIV-negative women. …”
Get full text

Self-Management Practice of Minor Pregnancy Disorders and Associated Factors Among Pregnant Women Attending Antenatal Clinics at Tulu Bolo General Hospital, Ethiopia by Mangistu Abera MSc, Aynalem Belay MSc, Aberash Beyene Derribow MSc, Girma Bacha MSc, Sena Belina PhD

“…Data were entered in Epi Data version 3.1 and exported to SPSS window version 26 for analysis. …”
Get full text

Classifying active and inactive states of growing rabbits from accelerometer data using machine learning algorithms by Mónica Mora, Lucile Riaboff, Ingrid David, Juan Pablo Sánchez, Miriam Piles

“…Different subsets of data containing an increasing number (from 5 to 25 in steps of 5) of the most informative features identified with random forest (RF) were used to train a binary classification model (inactive as a positive class). …”
Get full text