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

This algorithm has a low 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.

Last change on 21st of November 2024, at 9:12 (CET) | Publication Standard 1.0
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

Field not filled in.

Contact information

Algoritmen@amsterdam.nl

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

Lead in drinking water is harmful to health, especially for children and pregnant women.

Human intervention

N/A

Risk management

N/A

Operations

Data

The only personal data used during this project are addresses.

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