Historical community cases are included in the 'Community' category for the breakdown from 9 June to current date. Historical community cases are those diagnosed and notified after their infection has resolved. Diagnosis may be based on PCR and/or serology results and retrospective epidemiological investigation.

The top bar of the dashboard summarises New Zealand COVID-19 cases.

• The number of confirmed cases
  These are cases that have had a positive laboratory test.
• The number of probable cases
  These are the cases that don't have a conclusive laboratory test but are assumed to be cases based on their symptoms and history.
• The number of recovered cases
• The number of deceased cases

The smaller numbers on top of the count summarise the daily change in the 24 hours to 9am.

The bottom number - total cases - combines the number of confirmed and probable cases.

This visualisation allows you to view data at the District Health Board (DHB) level.

Map view

You can choose between viewing case incidence and case counts. Incidence is defined as the number of new cases over a select period of time. We also display the national incidence on top of the map (cases per 100,000 population); this is the format in which all New Zealand notifiable disease are reported. We use both confirmed and probable cases to calculate this number for COVID-19.

Relative incidence rate view

This chart displays the relative incidence rate of each New Zealand District Health Board (DHB) compared with the national incidence. A DHB with a higher relative incidence than 1 has been experiencing a higher number of cases per 100,000 population than the national average. A DHB with a lower relative incidence has been experiencing less cases. The incidence is based on both confirmed and probable cases.

Relative incidence rate calculation: Calculated as NZ rate divided by Rate of interest. Hence for NZ the value is one. So the higher rates would be a 1.x fold of the NZ rates; the lower rates would be between 0-1.

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District health boards (DHBs) are responsible for providing or funding the provision of health services in their district. There are 20 DHBs in New Zealand:

• Auckland District Health Board
• Bay of Plenty District Health Board
• Canterbury District Health Board
• Capital & Coast District Health Board
• Counties-Manukau District Health Board
• Hawke's Bay District Health Board
• Hutt Valley District Health Board
• Lakes District Health Board
• MidCentral District Health Board
• Nelson-Marlborough District Health Board
• Northland District Health Board
• Southern District Health Board
• South Canterbury District Health Board
• Tairawhiti District Health Board
• Taranaki District Health Board
• Waikato District Health Board
• Wairarapa District Health Board
• Waitemata District Health Board
• West Coast District Health Board
• Whanganui District Health Board

This chart displays the gender distribution of cases.

This chart displays the age distribution of cases.

This chart displays the ethnicity of cases.

Ethnicity is prioritised in the following order: Māori, Pacific peoples, Asian and European or Other (including New Zealander) ethnic groups.

The case curve describes the number of cases over time starting when the first New Zealand case was notified.

The toggle button allows you to choose between viewing cumulative cases and daily case counts. Cumulative case data shows the combined total of cases at each date (so this number will be steadily growing) while case counts shows only the new cases that have been reported each day.

You can view all New Zealand cases or explore cases at the DHB level.

Total cases

In this view you can explore confirmed and probable cases as well as see the number of deceased patients.

Please note that the daily case increase displayed on top of the page reflects the change in case numbers in the 24 hours to the 9am reporting interval used by the Ministry of Health. The numbers in the case curve slightly differ as they refer to actual calendar dates of reporting.

How to zoom into the chart

FluTracking is an online health surveillance system used to detect the potential spread of influenza by collating ILI symptoms reported by participants. The visualisations show the percentage of participants that reported fever and cough compared to previous years and stratified by influenza vaccination status and age group.