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Pandemic Respiratory Infection Emergency System Triage. UK, South Africa, Sudan

Population Size

Not reported
Population Size statistic card

Years

2023 - 2020

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

Sudan

South Africa

Geographic coverage statistic card

Lead time

Not applicable

Lead time statistic card

Summary

This test dataset consists of one table of variables collected in PRIEST dataset. The PRIEST (Pandemic Respiratory Infection Emergency System Triage) Study for Low and Middle-Income Countries (DP – PRIEST)

Documentation

This test dataset consists of one table of variables collected in PRIEST dataset. The PRIEST (Pandemic Respiratory Infection Emergency System Triage) Study for Low and Middle-Income Countries (DP – PRIEST)

To ensure hospitals in low- and middle- income countries are not overwhelmed during the COVID-19 pandemic by developing a risk assessment tool for clinicians to quickly decide whether a patient needs emergency care or can be safely sent home.

Carl Marincowitz and colleagues at the University of Sheffield in the United Kingdom and the University of Cape Town in South Africa have developed a risk assessment tool to help emergency clinicians quickly decide whether a patient with suspected COVID-19 needs emergency care or can be safely treated at home to avoid overburdening hospitals particularly in low- and middle- income countries (LMICs). They have used existing data to which they have access on 50,000 patients with suspected COVID-19 infection who sought emergency care in the United Kingdom, South Africa, and Sudan to develop prediction models for specific COVID-19 related outcomes in all income settings. These prediction models have been used to develop risk stratification tools, which enable providers to identify the right level of care and services for distinct subgroups of patients. These have been developed with input from patient and clinical stakeholders. The team have tested the performance of their risk assessment tools for identifying high-risk patients with existing triage methods.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Events

1

Count

01 Jan 2023

Provenance

Source of data extraction

Other

Image contrast

Not stated

Biological sample availability

None/not available

Structural Metadata

Details

Publishing frequency

Static

Version

1.0.0

Modified

08/10/2024

Coverage

Start date

01/01/2023

End date

31/12/2020

Time lag

Not applicable

Geographic coverage

Sudan, South Africa, United Kingdom

Accessibility

Language

en

Controlled vocabulary

OTHER

Format

text

Data Access Request

Dataset pipeline status

Not available

Time to dataset access

Not applicable

Jurisdiction

ZA, SD, GB

Data Controller

Ministries of health, South Africa, Sudan, United Kingdom.

Dataset Types: Health and disease


Collection Sources:

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