Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Diagnostic applications for Lassa fever in limited-resource settings

Domaine:

healthcare

Type de record:

paper
Créateur:
DevSolLauGun
Éditeur:
BMJ
Hôte:
Lassa fever, caused by arenavirus Lassa virus (LASV), is an acute viral haemorrhagic disease that affects up to an estimated 300 000 individuals and causes up to 5000 deaths per year in West Africa. Currently available LASV diagnostic methods are difficult to operationalise in low-resource health centres and may be less sensitive to detecting all known or emerging LASV strains. To prioritise diagnostic development for LASV, we assessed the diagnostic applications for case detection, clinical management, surveillance, outbreak response, and therapeutic and vaccine development at various healthcare levels. Diagnostic development should prioritise point-of-care and near-patient diagnostics, especially those with the ability to detect all lineages of LASV, as they would allow for rapid detection in resource-limited health facilities closer to the patient.

Visit

doi.org

Similaires

AI Diagnostic Applications in Resource-Limited Health Settings of Malawi: A Methodological FrameworkInnovative Biomedical Devices for Diagnostic Services in Ghanaian Resource-Limited SettingsPredicting Mortality for Adolescent and Adult Patients with Fever in Resource-Limited SettingsAI Applications in Malawi's Resource-Limited Healthcare Settings for Disease Diagnosis: A Systematic Literature ReviewAI Applications in Resource-Limited Healthcare Settings for Disease Diagnosis in Malawi: A Systematic Literature ReviewAI in Diagnostics: An Exploration of AI Applications in Resource-Limited Healthcare Settings in Malawi

AI Diagnostic Applications in Resource-Limited Health Settings of Malawi: A Methodological Framework

AI applications in resource-limited healthcare settings have shown promise for improving di

Innovative Biomedical Devices for Diagnostic Services in Ghanaian Resource-Limited Settings

This study addresses a current research gap in Engineering concerning Biomedical Engineering Innovat

Predicting Mortality for Adolescent and Adult Patients with Fever in Resource-Limited Settings

Febrile illnesses are a major cause of mortality in sub-Saharan Africa. Early identification of pati

AI Applications in Malawi's Resource-Limited Healthcare Settings for Disease Diagnosis: A Systematic Literature Review

The rapid advancement of artificial intelligence (AI) has led to its integration into vario

AI Applications in Resource-Limited Healthcare Settings for Disease Diagnosis in Malawi: A Systematic Literature Review

{ "background": "AI applications in resource-limited healthcare settings have shown promise

AI in Diagnostics: An Exploration of AI Applications in Resource-Limited Healthcare Settings in Malawi

This study addresses a current research gap in Computer Science concerning AI Applications