ANACONDA 5.0.0 Splash Screen

Launching ANACONDA

The University of Melbourne’s Bloomberg Data for Health Initiative is excited to officially launch ANACONDA (Analysis of Causes of National Deaths for Action).   

ANACONDA is the most comprehensive mortality data quality assessment platform that exists. It is an easy-to-navigate tool that provides a comprehensive step-by-step framework for interrogating mortality data. Featuring a detailed guide for users, it offers a series of data checks that are based on decades of epidemiological and demographic research into mortality patterns in different populations.  

ANACONDA includes country experiences and resources from IHME, as well as drawing on extensive findings of the Global Burden of Disease Study to propose a set of comparator data and estimates against which the country input data can be checked for plausibility. Once downloaded, it can be used without an Internet connection. 

ANACONDA's home screen.

ANACONDA's home screen. To download or learn more about ANACONDA, see the link below. 

By regularly applying ANACONDA and carefully interpreting the outputs, users can better understand:  

  • How reliable the input data from their routine CRVS systems are
  • What the probable biases or errors are
  • Progress in improving the quality of mortality and cause of death data 
  • Where and what kind of interventions are most urgently needed to further strengthen their existing systems 

So far, it has been applied in approximately fifty countries to guide data quality interventions. ANACONDA’s technical advisors believe it is an extremely useful tool for mortality data analysts, whether their countries’ CRVS systems are established or developing. 

Even in the most developed data systems, deaths can be either missed or misdiagnosed, with important implications. Countries are increasingly seeing the need for good quality mortality data to support policy action against urgent health challenges. ANACONDA includes the most modern epidemiological and demographic methods that facilitate the strengthening of routine data systems.

Dr Lene Mikkelsen, Senior Technical Advisor at the University of Melbourne


In the context of the COVID-19 pandemic, the launch of ANACONDA is particularly significant. It will allow data analysts to evaluate the reliability of their mortality data, not only for deaths directly coded to COVID-19 infection, but also for other causes of death where the risk has been magnified by COVID-19. 

“Countries are justifiably concerned about the rapid increase in COVID-19 deaths in their populations. ANACONDA is a timely and important addition to the toolkit of data analysts in supporting them to generate good quality data that they can trust. This will be critical to developing effective policies for controlling the pandemic,” said Professor Alan Lopez, Director of the Bloomberg Data for Health Initiative at the University of Melbourne. 

Downloading ANACONDA

To download ANACONDA or access learning resources, click on the button below. 


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