A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts

J Fintzi, J Wakefield, VN Minin - Biometrics, 2022 - academic.oup.com
Stochastic epidemic models (SEMs) fit to incidence data are critical to elucidating outbreak
dynamics, shaping response strategies, and preparing for future epidemics. SEMs typically …

[HTML][HTML] Evidence synthesis for stochastic epidemic models

PJ Birrell, D De Angelis, AM Presanis - Statistical science: a review …, 2018 - ncbi.nlm.nih.gov
In recent years, the role of epidemic models in informing public health policies has
progressively grown. Models have become increasingly realistic and more complex …

Particle filtering in a SEIRV simulation model of H1N1 influenza

A Safarishahrbijari, T Lawrence… - 2015 Winter …, 2015 - ieeexplore.ieee.org
Numerous studies have been conducted using simulation models to predict the
epidemiological spread of H1N1 and understand intervention trade-offs. However, existing …

[HTML][HTML] Effectiveness of pandemic and seasonal influenza vaccines in preventing laboratory-confirmed influenza in adults: a clinical cohort study during epidemic …

RK Syrjänen, J Jokinen, T Ziegler, J Sundman… - PLoS …, 2014 - journals.plos.org
Background One dose of pandemic influenza vaccine Pandemrix (GlaxoSmithKline) was
offered to the entire population of Finland in 2009–10. We conducted a prospective clinical …

Estimating the number of people with hepatitis C virus who have ever injected drugs and have yet to be diagnosed: an evidence synthesis approach for Scotland

TC Prevost, AM Presanis, A Taylor, DJ Goldberg… - …, 2015 - Wiley Online Library
Aims To estimate the number of people who have ever injected drugs (defined here as
PWID) living in Scotland in 2009 who have been infected with the hepatitis C virus (HCV) …

[HTML][HTML] Influenza virus infections from 0 to 2 years of age: a birth cohort study

T Teros-Jaakkola, L Toivonen… - Journal of Microbiology …, 2019 - Elsevier
Background/purpose Influenza vaccine has been recommended in Finland since 2007 for
all children of 6–35 months of age and in 2009 for those≥ 6 months against pandemic …

[HTML][HTML] Predictive accuracy of particle filtering in dynamic models supporting outbreak projections

A Safarishahrbijari, A Teyhouee, C Waldner, J Liu… - BMC infectious …, 2017 - Springer
Background While a new generation of computational statistics algorithms and availability of
data streams raises the potential for recurrently regrounding dynamic models with incoming …

[HTML][HTML] Revealing the true incidence of pandemic A (H1N1) pdm09 influenza in Finland during the first two seasons—An analysis based on a dynamic transmission …

M Shubin, A Lebedev, O Lyytikäinen… - PLoS computational …, 2016 - journals.plos.org
The threat of the new pandemic influenza A (H1N1) pdm09 imposed a heavy burden on the
public health system in Finland in 2009-2010. An extensive vaccination campaign was set …

Synthesising evidence to estimate pandemic (2009) A/H1N1 influenza severity in 2009–2011

AM Presanis, RG Pebody, PJ Birrell, BDM Tom… - 2014 - projecteuclid.org
Synthesising evidence to estimate pandemic (2009) A/H1N1 influenza severity in 2009-2011
Page 1 The Annals of Applied Statistics 2014, Vol. 8, No. 4, 2378–2403 DOI: 10.1214/14-AOAS775 …

Estimating the contribution of influenza to hospitalisations in New Zealand from 1994 to 2008

TQT Khieu, N Pierse, LF Telfar-Barnard, QS Huang… - Vaccine, 2015 - Elsevier
Background Influenza has a substantially but poorly measured impact on population health.
Estimating its true contribution to hospitalisations remains a challenge. Methods We used …