Perspective on the Integration of Diagnostic Algorithms for Fever Management

Juvenal Nkeramahame; Piero Olliaro; Philip Horgan; Sabine Dittrich

doi:10.1093/cid/ciad325

Perspective on the Integration of Diagnostic Algorithms for Fever Management

Clin Infect Dis. 2023 Jul 25;77(Suppl 2):S211-S213. doi: 10.1093/cid/ciad325.

Authors

Juvenal Nkeramahame¹, Piero Olliaro^{1

2}, Philip Horgan^{1

3

4}, Sabine Dittrich^{1

5

6}

Affiliations

¹ Medical Affairs, FIND, Geneva, Switzerland.
² International Severe Acute Respiratory and Emerging Infection Consortium, Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.
³ Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, United Kingdom.
⁴ Department of Medicine, Evidence & Impact - Oxford, Oxford, United Kingdom.
⁵ Center for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
⁶ Deggendorf Institute of Technology, European Campus Rottal Inn, Pfarrkirchen, Germany.

Abstract

The AMR Diagnostics Use Accelerator Program was established to address antimicrobial resistance. Here, we bring into broad perspective the findings and missed opportunities of the first phase of the program and look toward the second phase.

Keywords: Antibiotic resistance; acute fever; diagnostic algorithms; diagnostics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Fever* / diagnosis
Fever* / etiology
Humans