Hybrid SEIR–machine learning model tests its limits against Sierra Leone COVID-19 surveillance data
A hybrid SEIR–LSTM framework applied to 1,401 days of Sierra Leone COVID-19 surveillance data found the plain mechanistic model outperformed ...
A hybrid SEIR–LSTM framework applied to 1,401 days of Sierra Leone COVID-19 surveillance data found the plain mechanistic model outperformed ...
A nationwide ecological study of 1,890 Japanese municipalities found stable overall relative mortality during the pandemic but persistent rural excesses ...
A mixed-methods study of 164 UK hospitals identified seven strategies that allowed hip fracture services to keep operating during the ...
A qualitative study of 13 mostly nursing staff in Saxony-Anhalt, Germany, documents emotional, ethical, and organizational burdens in oncological surgical ...
A KNHANES-based analysis found that COVID-19-era shifts away from traditional rice-based dishes toward processed grains, oil-based dishes, and animal foods ...
A nationally representative US survey analysis found telehealth use stabilized near 9 percent of office-based visits from 2021 to 2023, ...
A retrospective cohort study of 2,412 hospitalized COVID-19 patients in Tehran found that persistently abnormal or worsening trajectories of prothrombin ...
A new simulation framework calibrates agent-based models to routine surveillance data through an ODE surrogate, revealing that COVID-19 intervention rankings ...
Penn State professor Mitchell P. Smith's new book examines how identity-based perceptions drive political divides in the United States and ...
A qualitative analysis of more than 2,500 survey responses from 703 Midwestern US frontline workers found that misinformation, polarized health ...
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© 2026 Scienmag - Science Magazine