From pandemic to a new normal: Strategies to optimise governmental interventions in Indonesia based on an SVEIQHR-type mathematical model [PDF]
Infectious Disease Modelling, 2022 There are five different forms of intervention presently realised by the Indonesian government in an effort to end the COVID-19 pandemic: vaccinations, social restrictions, tracings, testings, and treatments.
Benny Yong, Jonathan Hoseana, Livia Owen
doaj +2 more sources
Prediction studies of the epidemic peak of coronavirus disease in Brazil via new generalised Caputo type fractional derivatives [PDF]
Alexandria Engineering Journal, 2021 The first reported case of coronavirus disease (COVID-19) in Brazil was confirmed on 25 February 2020 and then the number of symptomatic cases produced day by day.
Pushpendra Kumar +3 more
doaj +2 more sources
Robot Dance: A mathematical optimization platform for intervention against COVID-19 in a complex network [PDF]
EURO Journal on Computational Optimization, 2022 Robot Dance is a computational optimization platform developed in response to the COVID-19 outbreak, to support the decision-making on public policies at a regional level.
Luis Gustavo Nonato +4 more
doaj +2 more sources
Fractional SIAQR model with time dependent infection rate
Arab Journal of Basic and Applied Sciences, 2023 In this study we have proposed the SIAQR model with time-dependent infection rate. The model’s well-posedness is demonstrated, and the proposed model is then extended to the fractional mathematical model by employing the Caputo-Fabrizio fractional ...
Pranay Goswami, Shivani Sharma
exaly +3 more sources
Identifiability of Infection Model Parameters Early in an Epidemic [PDF]
SIAM Journal on Control and Optimization, 2022 Tyrus Berry +2 more
exaly +2 more sources
Detections and SIR simulations of the COVID-19 pandemic waves in Ukraine
Computational and Mathematical Biophysics, 2021 Background. Unfortunately, the COVID-19 pandemic is still far from stabilizing. Of particular concern is the sharp increase in the number of diseases in June-July, September-October 2020 and February-March 2021.
Nesteruk Igor
doaj +1 more source
Identification of in-sample positivity violations using regression trees: The PoRT algorithm
Journal of Causal Inference, 2023 The positivity assumption is crucial when drawing causal inferences from observational studies, but it is often overlooked in practice. A violation of positivity occurs when the sample contains a subgroup of individuals with an extreme relative frequency
Danelian Gabriel +4 more
doaj +1 more source
Optimal balancing of time-dependent confounders for marginal structural models
Journal of Causal Inference, 2021 Marginal structural models (MSMs) can be used to estimate the causal effect of a potentially time-varying treatment in the presence of time-dependent confounding via weighted regression.
Kallus Nathan, Santacatterina Michele
doaj +1 more source
Alexandria Engineering Journal, 2022 In this article, we studied the fractional dynamics of the most dangerous deathly disease which outbreaks have been recorded all over the world, called 2019-nCOV or COVID-19.
Pushpendra Kumar +4 more
doaj +1 more source
Optimal weighting for estimating generalized average treatment effects
Journal of Causal Inference, 2022 In causal inference, a variety of causal effect estimands have been studied, including the sample, uncensored, target, conditional, optimal subpopulation, and optimal weighted average treatment effects.
Kallus Nathan, Santacatterina Michele
doaj +1 more source