Reviewing the Past, Present, and Future Risks of Pathogens in Ghana and What This Means for Rethinking Infectious Disease Surveillance for Sub-Saharan Africa by Peter N-Jonaam Mahama, Amos Tiereyangn Kabo-Bah, Justine I. Blanford, Edmund Ilimoan Yamba, Prince Antwi-Agyei

“…The current epidemiological transition makes us wonder how the parallel of infectious diseases (IDs) might be at the end of each passing year. …”
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A Systematic Literature Review and Bibliometric Analysis of Ophthalmology and COVID-19 Research by Ali Forouhari, Vahid Mansouri, Sare Safi, Hamid Ahmadieh, Amir Ghaffari Jolfayi

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Injury and Illness Trends in the National Hockey League Following an Abrupt Cessation of Play by Adam M Pinkoski, Matthew Davies, Mark Sommerfeldt, Dean T Eurich, Don Voaklander

“… # Study Design Descriptive Epidemiology Study # Methods Using a retrospective cohort inclusive of all players on active rosters in the NHL between 2016-2023, public access injury and illness data were collected. …”
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Serological and Molecular Characterization of the Hepatitis B Virus in Blood Donors in Maputo City, Mozambique by Olga Maquessene, Osvaldo Laurindo, Lúcia Chambal, Nalia Ismael, Nédio Mabunda

“…There is still limited data on the serological profile and molecular epidemiology of HBV in Mozambique given the burden of this disease. …”
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THE EFFECT OF KANGAROO MOTHER CARE ON REDUCING POSTPARTUM DEPRESSION: A SYSTEMATIC REVIEW by Velia Putri Yulias Tanti, Susy Katikana Sebayang

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Longitudinal association between food frequency and changes in body mass index: a prospective cohort study by Antonio Bernabe-Ortiz, Rodrigo M Carrillo-Larco

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Effect of Reablement Strategies targeting Sarcopenia (ReStart-S) on sarcopenic older adults residing in long term care settings: A protocol for cluster randomized trial by Prabal Kumar, Shashikiran Umakanth, Olivier Bruyère, Girish N

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Survival parametric modeling for patients with heart failure based on Kernel learning by Maryam Montaseri, Mansour Rezaei, Armin Khayati, Shayan Mostafaei, Mohammad Taheri

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Undesirable Postoperative Anesthesia Outcomes at Two National Referral Hospitals: A Cross-Sectional Study in Eritrea by Yonatan Mehari Andemeskel, Traudl Elsholz, Ghidey Gebreyohannes, Eyasu H. Tesfamariam

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Free Fatty Acids Activate Renin-Angiotensin System in 3T3-L1 Adipocytes through Nuclear Factor-kappa B Pathway by Jia Sun, Jinhua Luo, Yuting Ruan, Liangchang Xiu, Bimei Fang, Hua Zhang, Ming Wang, Hong Chen

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Postpandemic Stress Disorder among Health Care Personnel: A Cross-Sectional Study (Silesia, Poland) by Mateusz Grajek, Patryk Szlacheta, Karolina Sobczyk, Karolina Krupa-Kotara, Beata Łabuz-Roszak, Ilona Korzonek-Szlacheta

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Enhanced testing can substantially improve defense against several types of respiratory virus pandemic by James Petrie, James A. Hay, Oraya Srimokla, Jasmina Panovska-Griffiths, Charles Whittaker, Joanna Masel

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Molecular Characterization of Staphylococci Recovered from Hospital Personnel and Frequently Touched Surfaces in Tianjin, China by Yuting Liu, Liqin Chen, Yuping Duan, Zhen Xu

“…In this study, antimicrobial susceptibility tests, mecA gene detection, SCCmec typing, and multilocus sequence typing (MLST) were performed to clarify the molecular epidemiology of staphylococci in a large hospital in Tianjin, China. …”
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Molecular Characteristics and Antibiotic Resistance Profiles of Klebsiella Isolates in Mthatha, Eastern Cape Province, South Africa by Sandeep Vasaikar, Larry Obi, Isaac Morobe, Mary Bisi-Johnson

“…The objective of this study is to investigate the resistance genes responsible for ESBL-producing Klebsiella species and carbapenemase-producing Klebsiella (CRE) isolated in Mthatha and to study their epidemiology. A prospective, descriptive study of 202 nonrepetitive samples from patients was obtained from Nelson Mandela Academic Hospital. …”
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The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches fillings by Esther Kok, Aneesh Chauhan, Michele Tufano, Edith Feskens, Guido Camps

“…IntroductionAccurate measurement of dietary intake without interfering in natural eating habits is a long-standing problem in nutritional epidemiology. We explored the applicability of hyperspectral imaging and machine learning for dietary assessment of home-prepared meals, by building a proof-of-concept, which automatically detects food ingredients inside closed sandwiches.MethodsIndividual spectra were selected from 24 hyperspectral images of assembled closed sandwiches, measured in a spectral range of 1116.14 nm to 1670.62 nm over 108 bands, pre-processed with Standard Normal Variate filtering, derivatives, and subsampling, and fed into multiple algorithms, among which PLS-DA, multiple classifiers, and a simple neural network.ResultsThe resulting best performing models had an accuracy score of ~80% for predicting type of bread, ~60% for butter, and ~ 28% for filling type. …”
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Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients. by Yulin Lai, Peiyuan Huang

“…<h4>Methods</h4>Machine learning components, including ridge regression, XGBoost, k-nearest neighbor, light gradient boosting machine, logistic regression, support vector machine, neural network, and random forest, were used to construct a predictive model and identify the risk factors for SPMs with data from the Surveillance, Epidemiology and End Results. Multivariate logistic regression analysis was used to assess the risk of SPM associated with PORT. …”
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Use of Healthcare Claims Data to Generate Real-World Evidence on Patients With Drug-Resistant Epilepsy: Practical Considerations for Research by Nicole Stamas, Tom Vincent, Kathryn Evans, Qian Li, Vanessa Danielson, Reginald Lassagne, Ariel Berger

“…**Methods:** We drew upon our collective decades of experience in RWE generation and relevant disciplines (epidemiology, health economics, and biostatistics) to describe challenges inherent to this therapeutic area and to provide potential solutions thereto within healthcare claims databases. …”
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Chronic Kidney Disease in the Eastern Region of the State of Mexico: Implication of the Social Determinants of Health by Luis Enrique Hernández Gamundi, Donovan Casas Patiño, Alejandra Rodríguez Torres, Angélica Heredia Sánchez

“…<br /><strong>Conclusions:</strong> due to their impact on the way of living and caring for chronic kidney disease, the social determinants of health should be included transdisciplinary in public health policies, where not only epidemiology dictates the approach to renal patients, at this time mathematical models They are not applicable to groups, because social, cultural behaviors and the social determinants of health set the behavior patterns of human beings.…”
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Considering the nutritional benefits and health implications of red meat in the era of meatless initiatives by Melissa Kavanaugh, Diana Rodgers, Nancy Rodriguez, Frédéric Leroy

“…In addition, the protein density of red meat is beneficial for individuals managing obesity and older adults at risk of sarcopenia. Many epidemiological studies suggest potential associations between excessive red meat consumption and increased risk of certain chronic diseases, but this evidence does not conclusively implicate red meat in the development or progression of chronic disease. …”
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Parkinson’s Disease Prevalence and Proximity to Agricultural Cultivated Fields by Maayan Yitshak Sade, Yair Zlotnik, Itai Kloog, Victor Novack, Chava Peretz, Gal Ifergane

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