Fiebre adult severity scores data

4332 18 16460 2 91368 document 16460 Fiebre_adult_severity_scores_data.csv text/plain 240766003e8f9f855272889c71ae710dfc6493d0cce0868be48f6ae714197b77 SHA256 55 2024-09-13 13:42:00 https://datacompass.lshtm.ac.uk/id/eprint/4332/1/Fiebre_adult_severity_scores_data.csv 4332 1 1 text/plain Dataset en staffonly datasharingagreement

Fiebre_adult_severity_scores_data.csv

data indefinite Fiebre adult severity scores data 16462 2 91372 document 16462 4332-UserGuide.html text/html c4e934499d829788cb268b224a5b46292c623ea1ba8b7804cdfba7e3c6887407 SHA256 5231 2024-09-13 13:42:16 https://datacompass.lshtm.ac.uk/id/eprint/4332/3/4332-UserGuide.html 4332 3 3 text/html Text en public cc_by_4

4332-UserGuide.html

documentation indefinite User guide for Fiebre adult severity scores data 16463 3 91378 document 16463 Fiebre_adult_severity_scores_data_codebook.html text/html 96c62fe5f96fa722367ec4017047fc09963bf172ce0c45b919d6d020e278b9b1 SHA256 17971 2024-09-13 13:45:47 https://datacompass.lshtm.ac.uk/id/eprint/4332/4/Fiebre_adult_severity_scores_data_codebook.html 4332 4 2 text/html Text en public cc_by_4

Fiebre_adult_severity_scores_data_codebook.html

documentation indefinite Codebook for Fiebre adult severity scores data 17137 1 95463 document 17137 indexcodes.txt text/plain 5f23890ac2287505dfdbbdc2b4c7c0a6b9ecdb9174ff423c45099384750561c2 SHA256 1681 2025-02-07 10:22:59 https://datacompass.lshtm.ac.uk/id/eprint/4332/5/indexcodes.txt 4332 5 5 text/plain en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/16462 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/16462 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/16462 indefinite Generate index codes conversion from Text to indexcodes 17138 1 95464 document 17138 indexcodes.txt text/plain 45c3500740cd76f9fb03f680bd4228b1286e058642310025da05c2f068c6bfbb SHA256 2476 2025-02-07 10:22:59 https://datacompass.lshtm.ac.uk/id/eprint/4332/6/indexcodes.txt 4332 6 6 text/plain en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/16463 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/16463 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/16463 indefinite Generate index codes conversion from Text to indexcodes archive 3 disk0/00/00/43/32 2024-09-13 13:43:11 2025-07-29 12:48:39 2024-09-13 13:43:11 data_collection show Lal Sham 0000-0002-3650-1398 TRUE 6dd637d601482cb95555ec26f0b077cb PrincipalInvestigator Hopkins Heidi 0000-0003-1076-6758 TRUE 63e6910fe680cfdd24921db3f19132a8 London School of Hygiene & Tropical Medicine, London, United Kingdom Fiebre adult severity scores data ITDC Fever severity scores prognostic scores mortality An anonymised dataset of 2,797 adult in and outpatient (≥15 years) with a fever ((≥37.5°C) who gave informed consent to participate in a clinical observational study conducted in four countries (Lao PDR, Malawi, Mozambique and Zimbabwe) between June 2018-March 2021. Dataset contains variables on clinical history of illness, signs and symptoms for creating severity scores, treatment history and socio-demographic information, and outcomes (alive or dead) by day 28 follow-up. 2024-09-13 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00004332 Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom SelfAdministeredQuestionnaire Observation 2287 173 174 171 HX EK-EO E-EZ restricted London, United Kingdom Foreign, Commonwealth and Development Office Febrile Illness Evaluation in a Broad Range of Endemicities (FIEBRE) Study Consortium Dataset Quantitative Study staff collected demographic data, took a standardised clinical history, and performed a physical examination which included measuring the clinical signs for calculating the adult severity scores; MEWS, qSOFA, and UVA. All data were collected Open Data Kit where data were validated during the point of entry and outliers for clinical observations were detected using statistical methods. en 2018-06 2021-03 Predicting mortality in febrile adults: comparative performance of the MEWS, qSOFA, and UVA scores using prospectively collected data among patients in four health-care sites in sub-Saharan Africa and South-Eastern Asia https://doi.org/10.1016/j.eclinm.2024.102856 paper Predicting mortality in febrile adults: comparative performance of the MEWS, qSOFA, and UVA scores using prospectively collected data among patients in four health-care sites in sub-Saharan Africa and South-Eastern Asia https://researchonline.lshtm.ac.uk/id/eprint/4674006 Febrile Illness Evaluation in a Broad Range of Endemicities (FIEBRE) Study Consortium Foreign, Commonwealth and Development Office http://dx.doi.org/10.13039/501100020171 2024-09-13