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Folkehelseinstituttet

Norwegian Surveillance System for Communicable Diseases

Distributions 
3
APIs 
0
No registered APIs provide this dataset.
OverviewDistributions & APIs 
3
DetailsDiscussions 
0
RDF

Description

The Norwegian Surveillance System for Communicable Diseases, MSIS, is a statutory health register according to the Health Register Act § 11. MSIS contributes to the surveillance of infectious diseases in Norway through continous collection, analysis and reporting of the prevalence of infectious diseases. MSIS contains data from 1977. The Norwegian Institute of Public Health is data controller and responsible for collecting and processing data in MSIS.

Distributions
3

General information
  • csv
  • json
Description:

The data collection Generell informasjon includes variables that are relevant to all or most diagnoses. Some variables are not in use for tuberculosis or for diagnoses that earlier were not notifiable with full personal identification, ie. diseases that historically were categorized as group B or C in the MSIS regulation.

Access URL:
http://helsedata.no
Status:
Not provided
Direct download:
API:
Not provided
Documentation:
Not provided
License:
Conforms to:
Not provided
Rights for use:
Not provided
Download
Diagnosis specific information
  • csv
  • json
Description:

The data collection Diagnosespesifikk informasjon includes variables that only are relevant and in use for some diagnoses:

  • To find out which diagnoses the variable is relevant for, click the arrow next to the variable name to expand, and look under Beskrivelse.
  • You can also use the free text search to look for relevant variables using the diagnosis number (cf. coded values for the variable Diagnose).
Access URL:
http://helsedata.no
Status:
Not provided
Direct download:
API:
Not provided
Documentation:
Not provided
License:
Conforms to:
Not provided
Rights for use:
Not provided
Download
Mandatory selections
  • csv
  • json
Description:

It's mandatory to select diagnoses before you select other variables:

  • Log in to save the variable Diagnose to your variable list. Then go to the variable list and specify the diagnoses (ie. code values) that you would like to apply for.
  • For collective diagnoses (703 Virale infeksjoner i sentralnervesystemet, 805 Resistent gram-negativ stav) you must also specify pathogen. You can do this using the variable Smittestoff found under Generell informasjon.
Access URL:
http://helsedata.no
Status:
Not provided
Direct download:
API:
Not provided
Documentation:
Not provided
License:
Conforms to:
Not provided
Rights for use:
Not provided
Download

APIs providing this dataset
0

No registered APIs provide this dataset.

Similar datasets

Distributions
3

General information
  • csv
  • json
Description:

The data collection Generell informasjon includes variables that are relevant to all or most diagnoses. Some variables are not in use for tuberculosis or for diagnoses that earlier were not notifiable with full personal identification, ie. diseases that historically were categorized as group B or C in the MSIS regulation.

Access URL:
http://helsedata.no
Status:
Not provided
Direct download:
API:
Not provided
Documentation:
Not provided
License:
Conforms to:
Not provided
Rights for use:
Not provided
Download
Diagnosis specific information
  • csv
  • json
Description:

The data collection Diagnosespesifikk informasjon includes variables that only are relevant and in use for some diagnoses:

  • To find out which diagnoses the variable is relevant for, click the arrow next to the variable name to expand, and look under Beskrivelse.
  • You can also use the free text search to look for relevant variables using the diagnosis number (cf. coded values for the variable Diagnose).
Access URL:
http://helsedata.no
Status:
Not provided
Direct download:
API:
Not provided
Documentation:
Not provided
License:
Conforms to:
Not provided
Rights for use:
Not provided
Download
Mandatory selections
  • csv
  • json
Description:

It's mandatory to select diagnoses before you select other variables:

  • Log in to save the variable Diagnose to your variable list. Then go to the variable list and specify the diagnoses (ie. code values) that you would like to apply for.
  • For collective diagnoses (703 Virale infeksjoner i sentralnervesystemet, 805 Resistent gram-negativ stav) you must also specify pathogen. You can do this using the variable Smittestoff found under Generell informasjon.
Access URL:
http://helsedata.no
Status:
Not provided
Direct download:
API:
Not provided
Documentation:
Not provided
License:
Conforms to:
Not provided
Rights for use:
Not provided
Download

APIs providing this dataset
0

No registered APIs provide this dataset.

Contact information

Contact point:
Not provided
Website:
http://helsedata.no
Email:
Not provided
Telephone:
Not provided

About the data

Language:
Not provided
Content providers:
Not provided
Provenance:
Not provided
Update frequency:
Not provided
First issued:

This date indicates when the data in this dataset was first released. It may have happened before the dataset was published on data.norge.no.

January 1, 1975
Last updated:
Not provided
Accuracy:
Not provided
Availability:
Not provided
Completeness:
Not provided
Currentness:
Not provided
Relevance:
Not provided
Geographical scope:
http://publications.europa.eu/resource/authority/country/NOR
Temporal scope:
Not provided
Conforms to:

Reference to an implementation rule or other specification that forms the basis for the dataset.

Not provided

Legal basis

Not provided

Concepts used in the dataset

Not provided

References

Not provided

About this dataset

Publisher:
Folkehelseinstituttet
Published:

This date indicates when the dataset was harvested by data.norge.no. It may have been available earlier elsewhere.

Read more about harvesting here

March 3, 2026
Last updated:
March 13, 2026
Landing page:
https://helsedata.no/no/forvaltere/folkehelseinstituttet/meldingssystem-for-smittsomme-sykdommer/
Documentation:
Not provided
Dataset type:
Not provided
Metadata Quality:

Metadata quality is an indicator of how well the datasets are described using metadata.

Read more about metadata quality here

Good (68%)
URI:

Themes

Keywords

Not provided

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