A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic

@article{Hilton2022ACF,
  title={A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic},
  author={Joe Hilton and Heather Riley and Lorenzo Pellis and Rabia Aziza and Samuel P. C. Brand and Ivy K Kombe and John Ojal and Andrea Parisi and Matt. J. Keeling and D. James Nokes and R Manson-Sawko and Thomas A. House},
  journal={PLoS Computational Biology},
  year={2022},
  volume={18}
}
The widespread, and in many countries unprecedented, use of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic has highlighted the need for mathematical models which can estimate the impact of these measures while accounting for the highly heterogeneous risk profile of COVID-19. Models accounting either for age structure or the household structure necessary to explicitly model many NPIs are commonly used in infectious disease modelling, but models incorporating both levels of… 

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References

SHOWING 1-10 OF 66 REFERENCES

Systematic selection between age and household structure for models aimed at emerging epidemic predictions

TLDR
It is concluded that, with heterogeneous and assortative contact patterns relevant to respiratory infections, the model’s age stratification is crucial for accurate predictions, and a rule of thumb is provided to guide model choice.

Incorporating household structure and demography into models of endemic disease

TLDR
This work develops the modelling framework necessary to predict the behaviour of endemic infections in populations that possess both household and age structure, and compares two childhood infections, with measles-like and mumps-like parameters, and two populations with UK- like and Kenya-like characteristics, which allows to disentangle the impact of epidemiology and demography.

A dynamic microsimulation model for epidemics

The role of children in the spread of COVID-19: Using household data from Bnei Brak, Israel, to estimate the relative susceptibility and infectivity of children

TLDR
It is estimated that children are less susceptible to infection, which is an additional factor explaining their relatively low rate of occurrence within confirmed cases, and this results indicate that children, when infected, are somewhat less prone to infect others compared to adults.

Inference of SARS-CoV-2 generation times using UK household data

The distribution of the generation time (the interval between individuals becoming infected and passing on the virus) characterises changes in the transmission risk during SARS-CoV-2 infections.

Calculation of Disease Dynamics in a Population of Households

TLDR
The computational efficiency of the methodology presented here will hopefully aid in the parameterisation of structured models and in the evaluation of appropriate responses for future disease outbreaks.

Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era

TLDR
It is found that the synthetic contactMatrices reproduce the main traits of the contact patterns in the empirically-constructed contact matrices, which means that synthetic contact Matrices may be used in modelling outbreaks in settings for which empirical studies have yet to be conducted.

Disentangling the roles of human mobility and deprivation on the transmission dynamics of COVID-19 using a spatially explicit simulation model.

TLDR
It is shown that, while the timing of CO VID-19 restrictions influences the role of the transmission rate on the number of COVID-related deaths, early reduction in long distance movements does not reduce death rates significantly, and the best fit model shows a considerable influence of the health index of deprivation on mortality.
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