Work

Global health systems' data science approach for precision diagnosis of sepsis in early life

Year: 2021

Type: review

Source: The Lancet Infectious Diseases

DOI: 10.1016/s1473-3099(21)00645-9

Authors: Kenneth Iregbu, Angela Dramowski, Rebecca Milton, Emmanuel Nsutebu, Stephen R C Howie, Mallinath Chakraborty, Pascal M Lavoie, Ceire E Costelloe, Peter Ghazal

Institutions: National Hospital Abuja, Stellenbosch University, Cardiff University, Sheikh Shakhbout Medical City, University of Auckland, University Hospital of Wales, University of British Columbia, Imperial College London

Language: English

Topic: Sepsis Diagnosis and Treatment

Subfield: Critical Care and Intensive Care Medicine

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: closed

Funders: National Institute for Social Care and Health Research, BC Children’s Hospital Foundation, Health and Care Research Wales, Llywodraeth Cymru, Global Challenges Research Fund, Cancer Research UK, National Institute for Health and Care Research, National Institutes of Health, Medical Research Council, European Regional Development Fund, NIHR Imperial Biomedical Research Centre, Fogarty International Center

Awards: Developing a care bundle for neonatal sepsis prevention in low-resource settings, G2637958207, G4146149369, G796282945

OpenAlex ID: W4200533246

FWCI: 1.046

Cites: 82

Cited by: 38

Related to: 10