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. 2017 Jan 20;12(1):e0170662.
doi: 10.1371/journal.pone.0170662. eCollection 2017.

A Software Tool for Estimation of Burden of Infectious Diseases in Europe Using Incidence-Based Disability Adjusted Life Years

Edoardo Colzani  1 , Alessandro Cassini  1   2 , Daniel Lewandowski  3 , Marie-Josee J Mangen  2   4 , Dietrich Plass  5 , Scott A McDonald  4 , Alies van Lier  4 , Juanita A Haagsma  6   7 , Guido Maringhini  1 , Alessandro Pini  1 , Piotr Kramarz  1 , Mirjam E Kretzschmar  2   4
Affiliations

A Software Tool for Estimation of Burden of Infectious Diseases in Europe Using Incidence-Based Disability Adjusted Life Years

Edoardo Colzani et al. PLoS One. .

Abstract

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 Communicable Disease in Europe (BCoDE) project is to summarize the impact of communicable disease in the European Union and European Economic Area Member States (EU/EEA MS). To meet this goal, a user-friendly software tool (BCoDE toolkit), was developed. This stand-alone application, written in C++, is open-access and freely available for download from the website of the European Centre for Disease Prevention and Control (ECDC). With the BCoDE toolkit, one can calculate DALYs by simply entering the age group- and sex-specific number of cases for one or more of selected sets of 32 communicable diseases (CDs) and 6 healthcare associated infections (HAIs). Disease progression models (i.e., outcome trees) for these communicable diseases were created following a thorough literature review of their disease progression pathway. The BCoDE toolkit runs Monte Carlo simulations of the input parameters and provides disease-specific results, including 95% uncertainty intervals, and permits comparisons between the different disease models entered. Results can be displayed as mean and median overall DALYs, DALYs per 100,000 population, and DALYs related to mortality vs. disability. Visualization options summarize complex epidemiological data, with the goal of improving communication and knowledge transfer for decision-making.

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Conflict of interest statement

AC, EC and PK are employed by ECDC which funded the development of the BCoDE toolkit software. GM and AP were consultants with ECDC at the time of the design and development of the project. DL, self-employed by NextPage Software Daniel Lewandowski, is recipient of the project funding. This does not alter our adherence to PLOS ONE policies on sharing data and materials. No conflict of interest for MJJM, DP, SAM, AvL, JAH, MEK.

Figures

Fig 1
Fig 1. A disease outcome tree linking infection and all sequelae.
Fig 2
Fig 2. BCoDE toolkit: step-wise approach to disease model creation and data input.
Fig 3
Fig 3. BCoDE toolkit: options for visualization of the outputs.
See this image and copyright information in PMC

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