English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The planning and evaluation o f disease control i s extremely complicated because o f the many factors and uncertainties that are involved in predicting and explaining trends . In leprosy, for example, the impact of control measures on the epidemiological trends is not precisely known. In spite of this, multidrug therapy (MDT) is now the first-choice treatment for leprosy. In countries where MDT is implemented on a large scale, a marked reduction in the prevalence rate has been achieved. It is also noticeable that treatment compliance is improved. These positive effects are mainly attributed to the short duration and low toxicity of MDT. ' But even when MDT is chosen, there are many ways in which MDT -strategies can be organized. Planning and evaluation tools would be most welcome. At our Institute we have developed methods and tools for assisting decision making in disease control programmes which are based on epidemiological simulation modelling. Based on our experience in the control of non-communicable diseases, we started analysing tropical disease control problems in a joint project with the Onchocerciasis Control Programme (OCP) . In this project simulation models have been developed which are now used routinely by the OCP in the planning and evaluation of river blindness control measures. In this paper we will first summarize our approach to developing and using decision aids, and then consider the possibility of using this approach in leprosy control .

Towards the use of decision sciences in leprosy control