133 citations · 291 across the 7 of their papers we have counts for
7 papers
A unifying modelling approach for hierarchical distributed lag models
Theo Economou, Daphne Parliari, Aurelio Tobias +7
We present a statistical modelling framework for implementing Distributed Lag Models (DLMs), encompassing several extensions of the approach to capture the temporally distributed e…
A Powerful Modelling Framework for Nowcasting and Forecasting COVID-19 and Other Diseases
Oliver Stoner, Theo Economou, Alba Halliday
The COVID-19 pandemic has highlighted delayed reporting as a significant impediment to effective disease surveillance and decision-making. In the absence of timely data, statistica…
An Advanced Hidden Markov Model for Hourly Rainfall Time Series
Oliver Stoner, Theo Economou
For hydrological applications, such as urban flood modelling, it is often important to be able to simulate sub-daily rainfall time series from stochastic models. However, modelling…
Multivariate Hierarchical Frameworks for Modelling Delayed Reporting in Count Data
Oliver Stoner, Theo Economou
In many fields and applications count data can be subject to delayed reporting. This is where the total count, such as the number of disease cases contracted in a given week, may n…
Global Household Energy Model: A Multivariate Hierarchical Approach to Estimating Trends in the Use of Polluting and Clean Fuels for Cooking
Oliver Stoner, Gavin Shaddick, Theo Economou +5
In 2017 an estimated 3 billion people used polluting fuels and technologies as their primary cooking solution, with 3.8 million deaths annually attributed to household exposure to…
A Hierarchical Framework for Correcting Under-Reporting in Count Data
Oliver Stoner, Theo Economou, Gabriela Drummond
Tuberculosis poses a global health risk and Brazil is among the top twenty countries by absolute mortality. However, this epidemiological burden is masked by under-reporting, which…
Modelling reporting delays for disease surveillance data
Leonardo Bastos, Theodoros Economou, Marcelo Gomes +6
One difficulty for real-time tracking of epidemics is related to reporting delay. The reporting delay may be due to laboratory confirmation, logistic problems, infrastructure diffi…