Spatiotemporal Modeling of Tuberculosis Transmission Risk in a Clinical Waiting Room Using Environmental and Patient Movement Data: Impact of Simple Patient Management Interventions
Tuberculosis (TB)
What this study involves
The registry does not currently label this study as recruiting. Ask about its status before planning a screening visit.
- Study type
- Observational
- Phase
- Not applicable / not listed
- Age range
- Not specified - 99 years
- Sex eligible
- All sexes
- Healthy volunteers
- Accepted
- Participants
- 1000 Actual
These are starting points, not an eligibility decision. The research team must review the full requirements.
About the research
To establish a novel approach for estimating the risk of TB transmission in a healthcare clinic in a high TB/HIV setting in Zambia using data on patient characteristics, indoor CO2 and bioaerosol measurements, and patient flows from video sensors.
Read the full description
The proposed study has an observational design, employing exposure assessment methods and implements interventions targeting patient flow. Briefly, we will collect patient-related information (anonymous patient tracking, clinical patient information) and environmental data (CO2 levels, particle concentrations) in Kanyama first level hospital in Lusaka, Zambia, over a period of 6 weeks for approximately 6 hours per day.
Who may be able to participate?
The list below is the sponsor’s full registry wording. It can include conditions, prior treatment, test results and other requirements. A match in search does not mean you qualify.
Inclusion Criteria:
- All attending the selected clinics will be included
Exclusion Criteria:
- Clinical study staff members
Study population
All attending the selected clinics will be included
Understand screeningTreatment, groups and participation
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- Assignment
- Not reported
- Masking
- Not reported
What researchers are measuring
Outcome measures describe what is being studied. They are not proof that a treatment works.
Primary measures
Patient flow, clustering, occupancy, CO₂, particles, bioaerosols and clinical/epidemiological characteristics.
Time frame: 6 MONTHS
Estimated TB transmission risk will be calculated using a spatiotemporal model incorporating environmental conditions and patient movement/occupancy data. The outcome will be summarized as the change in modeled transmission-risk estimates between the pre-intervention and intervention periods.
TB TRANSMISSION
Time frame: 6 MONTHS
We aim to establish a novel approach for estimating the risk of TB transmission in a healthcare clinic in a high TB/HIV setting in Zambia using data on patient characteristics, indoor CO₂ and bioaerosol measurements, and patient flows from video sensors. We will use these data to parameterise a novel mathematical model of TB transmission in primary care clinics, identify the drivers of transmission risk, and estimate the impact of interventions targeting patient flows on the risk of TB transmission.
Secondary measures
TB TRANSMISSION
Time frame: 6 months
To determine patient flow, patient clustering, and the number of patients at a given time point using anonymous video sensors and environmental data (CO₂ levels, particle concentrations, bioaersol), as well as to study clinical features and to study epidemiological and clinical characteristics of patients seen at the outpatient department, such as TB/HIV suspicion, using clinical information from medical records.
Review the complete result tables and limitations in the official record.
Open official results ↗Research locations (1)
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1 locations
Kanyama First Level HospitalLusaka, Lusaka Province, ZambiaStatus unknown
Study team and timeline
- Lead sponsor
- Centre for Infectious Disease Research in Zambia
- Study start
- Mar 18, 2024 Actual
- Primary completion
- Aug 17, 2024 Actual
- Study completion
- Mar 18, 2025 Actual
- First posted
- Nov 10, 2026 Actual
- Last updated
- Nov 10, 2026 Actual
Official study contacts
No central contact is listed. Check the locations and the official record.
Official study title
SPATIOTEMPORAL MODELLING OF TUBERCULOSIS TRANSMISSION RISK IN A CLINICAL WAITING ROOM USING ENVIRONMENTAL AND PATIENT MOVEMENT DATA: IMPACT OF SIMPLE PATIENT MANAGEMENT INTERVENTIONS
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Source: ClinicalTrials.gov API v2. Information is submitted by sponsors and investigators. NLM does not approve the safety or science of all listed studies. Registry disclaimer.
Retrieved: Nov 12, 2026 · Last registry update: Nov 10, 2026