Dynamical Survival Analysis-based statistical method does not have the flexibility to test arbitrary what-if scenarios involving individual human behaviors because the method is based on population-level equations |
KhudaBukhsh et al. [101]
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The pathway approach for multi-wave epidemics shows its efficiency in describing COVID-19 data, but a more detailed study about the effectiveness of intervention measures is needed to improve predictions |
Vasconcelos et al. [106]
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The modeling is rigid for limited number of parameters in two-phase solution. The key factors of the initial transmission rate and the intensity of hard protective measures are found “manually” |
Cherednik [107]
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The approximation errors grow tenfold in pandemic waves with a sharp increase of infections. Because of the lack of data, model approximates the infection curves with an accuracy of about 10–30% |
Leonov et al. [108]
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A quantitative assessment of the combinatorial effect of different control measures is needed for accurate prediction of the diffusion of COVID-19 |
Cao et al. [109]
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Limitation of the model is the transition from the delta to omicron variant because the rate of the infection changes over time in the epidemic wave |
Namiki and Yano [110]
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Human behavior and its impact on the progression of epidemics are hard to measure and to model |
Mohammadi et al. [117]
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Unlike predictions of epidemiologic models, the reduction of control measures for COVID-19 did not generate a rapid take off of infections |
Wieland [112]
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Epidemiologic models for COVID-19 generate overestimation of deaths |
Douglas [113]
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A limitation of models for pandemic prediction is the assumption of a constant reproductive number, whereas in real contexts it changes over the course of time |
Korolev [115]
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A lot of models do not consider that the deaths of COVID-19 have a skewed distribution towards elderly and susceptible people with comorbidities |
Chen et al. [116]
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A critical limitation of epidemiological models for COVID-19 is that they do not consider the behavioral change of people in the presence of a pandemic |
Stangier et al. [118]
|