Sesikhona! (we are here): Use of smartphone-based GPS technology to measure ultra-high resolution mobility patterns of young adults in rural KwaZulu Natal

South Africa, 2023 - 2025

Reference ID

AHRI.Sesikhona.Phase3.Enrolment

Producer(s)

Nelisiwe Mtshali, Nompumelelo Mkwanazi, Prof. Frank Tanser(Principal Investigator), Prof Adrian Dobra, Prof Till Barnighausen

Metadata

Documentation in PDF DDI/XML JSON

Created on

Jun 11, 2026

Last modified

Jun 11, 2026

Page views

Downloads

RAM Size (app_ram_size)

Data file: AHRI.Sesikhona.Phase3.Enrolment.2025.v1.0

Overview

Valid: 102

Invalid: 103

Type: Discrete

Decimal: 0

Width: 12

Range: 1 - 3

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Less than 1GB	4	3.9%
2	Between 1 and 2 GB	68	66.7%
3	More than 2GB	30	29.4%
Sysmiss		103

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

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