Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
Research predict lead pipes
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
- Living
- Space and Infrastructure
- Health and Healthcare
Begin date
Contact information
Responsible use
Goal and impact
This is a research project to investigate whether it is possible to predict lead pipes in a home. Lead in drinking water is harmful to health, especially for children and pregnant women. Lead water pipes can occur in properties built before 1960. Using data from housing associations on which homes have lead found in them, we want to investigate whether we can predict in which homes in the private sector there is an increased risk of finding lead. The only personal data used during this project will be addresses. The first phase is an investigation to see if it is at all possible to predict lead pipes from data. In case the first phase shows that this is possible, in the second phase we would like to write to the addresses where an increased risk of lead is predicted by means of a letter. In this letter, we would issue a warning about the possible presence of lead with the advice to carry out an inspection for lead.
Considerations
Human intervention
Risk management
Operations
Data
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