Estimating the effect of non-pharmaceutical interventions to mitigate COVID-19 spread in Saudi Arabia
D Bisanzio, R Reithinger, A Alqunaibet, S Almudarra… - BMC medicine, 2022 - Springer
Abstract Background The Kingdom of Saudi Arabia (KSA) quickly controlled the spread of
SARS-CoV-2 by implementing several non-pharmaceutical interventions (NPIs), including …
SARS-CoV-2 by implementing several non-pharmaceutical interventions (NPIs), including …
Discharge modeling and characteristic analysis of semi-circular side weir based on the soft computing method
S Li, G Shen, A Parsaie, G Li, D Cao - Journal of Hydroinformatics, 2024 - iwaponline.com
In this study, a support vector machine (SVM) and three optimization algorithms are used to
develop a discharge coefficient (C d) prediction model for the semi-circular side weir …
develop a discharge coefficient (C d) prediction model for the semi-circular side weir …
A novel framework for strength prediction of geopolymer mortar: Renovative precursor effect
Concrete is the most used building material today as it has many advantages due to its
structure. Geopolymer composites could potentially replace concrete in the future due to the …
structure. Geopolymer composites could potentially replace concrete in the future due to the …
Targeted preventive vaccination campaigns to reduce Ebola outbreaks: An individual-based modeling study
D Bisanzio, AE Davis, SE Talbird, T Van Effelterre… - Vaccine, 2023 - Elsevier
Introduction Nonpharmaceutical interventions (NPI) and ring vaccination (ie, vaccination that
primarily targets contacts and contacts of contacts of Ebola cases) are currently used to …
primarily targets contacts and contacts of contacts of Ebola cases) are currently used to …
Interactions and computer experiments
E Borgonovo, E Plischke… - Scandinavian Journal of …, 2022 - Wiley Online Library
Identifying interactions and understanding the underlying generating mechanism is
essential for interpreting the response of black‐box models. We offer a systematic analysis …
essential for interpreting the response of black‐box models. We offer a systematic analysis …
Uncertainty quantification in deterministic parameterization of single diode model of a silicon solar cell
A Samadhiya, K Namrata, D Gupta - Optimization and Engineering, 2021 - Springer
The paper presents a probabilistic approach to study uncertainty quantification in electrical
parameters associated with single diode model of a solar cell. Five parameters which …
parameters associated with single diode model of a solar cell. Five parameters which …
Environmental determinants predicting population vulnerability to high yellow fever incidence
JL Servadio, C Muñoz-Zanzi… - Royal Society Open …, 2022 - royalsocietypublishing.org
Yellow fever (YF) is an endemic mosquito-borne disease in Brazil, though many locations
have not observed cases in recent decades. Some locations with low disease burden may …
have not observed cases in recent decades. Some locations with low disease burden may …
Explaining income-related inequalities in cardiovascular risk factors in Tunisian adults during the last decade: comparison of sensitivity analysis of logistic regression …
O Saidi, N Zoghlami, KE Bennett, PA Mosquera… - International journal for …, 2019 - Springer
Background It is important to quantify inequality, explain the contribution of underlying social
determinants and to provide evidence to guide health policy. The aim of the study is to …
determinants and to provide evidence to guide health policy. The aim of the study is to …
[PDF][PDF] Age estimation with panoramic radiomorphometric parameters using generalized linear models
YH Lee, JS An - Journal of Oral Medicine and Pain, 2021 - researchgate.net
Purpose: The purpose of the present study was to investigate the correlation between age
and 34 radiomorphometric parameters on panoramic radiographs, and to provide …
and 34 radiomorphometric parameters on panoramic radiographs, and to provide …
Should univariate Cox regression be used for feature selection with respect to time-to-event outcomes?
R Lu - arXiv preprint arXiv:2208.09689, 2022 - arxiv.org
IMPORTANCE: Time-to-event outcomes are commonly used in clinical trials and biomarker
discovery studies and have been primarily analyzed using Cox proportional hazards …
discovery studies and have been primarily analyzed using Cox proportional hazards …