5 research outputs found
Evaluation of Syndromic Surveillance in the Netherlands: Its Added Value and Recommendations for Implementation
In the last decade, syndromic surveillance has increasingly
been used worldwide for detecting increases or
outbreaks of infectious diseases that might be missed
by surveillance based on laboratory diagnoses and
notifications by clinicians alone. There is, however,
an ongoing debate about the feasibility of syndromic
surveillance and its potential added value. Here we
present our perspective on syndromic surveillance,
based on the results of a retrospective analysis of
syndromic data from six Dutch healthcare registries,
covering 1999–2009 or part of this period. These
registries had been designed for other purposes,
but were evaluated for their potential use in signalling
infectious disease dynamics and outbreaks. Our
results show that syndromic surveillance clearly has
added value in revealing the blind spots of traditional
surveillance, in particular by detecting unusual, local
outbreaks independently of diagnoses of specific
pathogens, and by monitoring disease burden and virulence
shifts of common pathogens. Therefore we recommend
the use of syndromic surveillance for these
applications
A software tool for estimation of burden of infectious diseases in Europe using incidence-based disability adjusted life years
The burden of disease framework facilitates the assessment of the health impact of diseases through the use of summary measures of population health such as Disability- Adjusted Life Years (DALYs). However, calculating, interpreting and communicating the results of studies using this methodology poses a challenge. The aim of the Burden of Commu
Effects of Population Based Screening for Chlamydia Infections in The Netherlands Limited by Declining Participation Rates
Background: A large trial to investigate the effectiveness of population based screening for chlamydia infections was conducted in the Netherlands in 2008-2012. The trial was register based and consisted of four rounds of screening of women and men in the age groups 16-29 years in three regions in the Netherlands. Data were collected on participation rates and positivity rates per round. A modeling study was conducted to project screening effects for various screening strategies into the future. Methods and Findings: We used a stochastic network simulation model incorporating partnership formation and dissolution, aging and a sexual life course perspective. Trends in baseline rates of chlamydia testing and treatment were used to describe the epidemiological situation before the start of the screening program. Data on participation rates was used to describe screening uptake in rural and urban areas. Simulations were used to project the effectiveness of screening on chlamydia prevalence for a time period of 10 years. In addition, we tested alternative screening strategies, such as including only women, targeting different age groups, and biennial screening. Screening reduced prevalence by about 1% in the first two screening rounds and leveled off after that. Extrapolating observed participation rates into the future indicated very low participation in the long run. Alternative strategies only marginally changed the effectiveness of screening. Higher participation rates as originally foreseen in the program would have succeeded in reducing chlamydia prevalence to very low levels in the long run. Conclusions: Decreasing participation rates over time profoundly impact the effectiveness of population based screening for chlamydia infections. Using data from several consecutive rounds of screening in a simulation model enabled us to assess the future effectiveness of screening on prevalence. If participation rates cannot be kept at a sufficient level, the effectiveness of screening on prevalence will remain limited
Impact of infectious diseases on population health using incidence-based disability-adjusted life years (DALYs)
Background and aims: The Burden of Communicable Diseases in Europe (BCoDE) study aimed to calculate disability-adjusted life years (DALYs) for 31 selected diseases in the European Union (EU) and European Economic Area (EEA). Methods: DALYs were estimated using an incidence-based and pathogen-based approach. Incidence was estimated through assessment of data availability and quality, and a correction was applied for under-estimation. Calculation of DALYs was performed with the BCoDE software toolkit without applying time discounting and age-weighting. Results: W
Infectious disease transmission as a forensic problem: Who infected whom?
Observations on infectious diseases often consist of a sample of cases, distinguished by symptoms, and other characteristics, such as onset dates, spatial locations, genetic sequence of the pathogen and/or physiological and clinical data. Cases are often clustered, in space and time, suggesting that they are connected. By defining kernel functions for pairwise analysis of cases, a matrix of transmission probabilities can be estimated.We set up a Bayesian framework to integrate various sources of information to estimate the transmission network. The method is illustrated by analysing data from a multi-year study (2002-2007) of nosocomial outbreaks of norovirus in a large university hospital in the Netherlands. The study included 264 cases, the norovirus genotype was known in approximately 60 per cent of the patients. Combining all the available data allowed likely identification of individual transmission links between most of the cases (72%). This illustrates that the proposed method can be used to accurately reconstruct transmission networks, enhancing our understanding of outbreak dynamics and possibly leading to new insights into how to prevent outbreaks