What South Africa is treating online, right now.
An anonymised, rolling view of the conditions appearing in Udok consultations—and how quickly patients reach a doctor.
Average doctor join time
49s
From the moment a doctor initiates the consultation until they join the call.
The diagnoses rising to the top
Ranked ICD-10 diagnosis records attached to completed consultations during the rolling window. The bars show each condition’s share of the leading diagnoses listed—not its share of every Udok consultation.
Current signal
Acute upper respiratory infection, unspecified
J06.9 leads the displayed diagnoses at 22.3%.
1 397 diagnosis records are represented in this view. Counts are aggregated; no patient-level data is published.
- 01Acute upper respiratory infection, unspecifiedJ06.922.3%
- 02Gastroenteritis and colitis of unspecified originA09.913.8%
- 03Acute pharyngitis, unspecifiedJ02.910.8%
- 04Surveillance of contraceptive drugsZ30.410.5%
- 05Essential (primary) hypertensionI109.4%
- 06HeadacheR517.9%
- 07Urinary tract infection, site not specifiedN39.07.9%
- 08Contraceptive management, unspecifiedZ30.97.6%
- 09Acute nasopharyngitis [common cold]J005.0%
- 10Other acute upper respiratory infections of multiple sitesJ06.84.8%
Care measured in seconds, not waiting rooms
This is a narrow but useful measure: it starts only once an Udok doctor has initiated the consultation and ends when the doctor joins the call. It is not the full time from registration or payment to care.
Rolling, not cherry-picked
Every eligible join event across 30 days contributes.
Privacy by design
Only aggregate timing is exposed. Individual sessions never are.
South Africa is mobile-first. Healthcare can be too.
National connectivity data explains why online care matters: access is broad, but it happens far more often through a mobile device than a fixed connection at home.
Read the Stats SA source ↗85.6%
connected somewhere
Households with internet access through at least one location or method.
78.9%
access via mobile
Households accessing the internet using mobile devices.
20.6%
fixed access at home
Households with fixed internet such as fibre or ADSL at home.
External context: Statistics South Africa, General Household Survey 2025. These national household measures are contextual and are not Udok utilisation figures.
The dataset, without the spin
Built for journalists, researchers, partners, and anyone curious about how virtual care is used in South Africa.
| Rank | Diagnosis | ICD-10 | Records | Share shown |
|---|---|---|---|---|
| #1 | Acute upper respiratory infection, unspecified | J06.9 | 311 | 22.3% |
| #2 | Gastroenteritis and colitis of unspecified origin | A09.9 | 193 | 13.8% |
| #3 | Acute pharyngitis, unspecified | J02.9 | 151 | 10.8% |
| #4 | Surveillance of contraceptive drugs | Z30.4 | 147 | 10.5% |
| #5 | Essential (primary) hypertension | I10 | 132 | 9.4% |
| #6 | Headache | R51 | 110 | 7.9% |
| #7 | Urinary tract infection, site not specified | N39.0 | 110 | 7.9% |
| #8 | Contraceptive management, unspecified | Z30.9 | 106 | 7.6% |
| #9 | Acute nasopharyngitis [common cold] | J00 | 70 | 5.0% |
| #10 | Other acute upper respiratory infections of multiple sites | J06.8 | 67 | 4.8% |
What is included?
ICD-10 diagnosis records attached to completed Udok consultations in the rolling period.
How often does it refresh?
Aggregates are cached for one hour, reducing load on the clinical database.
Can people be identified?
No. The public response contains aggregate codes, labels, counts, and timing only.
The next data point could start with you.
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