The African Network for Improved Diagnostics, Epidemiology and Management of common infectious Agents

Grit Schubert1, Vincent Achi2,3, Steve Ahuka4

  • 1Robert Koch-Institute, Berlin, Germany. schubertg@rki.de.

Insights

The African Network for Improved Diagnostics, Epidemiology and Management of Common Infectious Agents (ANDEMIA) enhances understanding of infectious disease causes in sub-Saharan Africa. This surveillance study uses advanced diagnostics to detect common and emerging pathogens, improving patient care.

Area of Science:

  • Infectious disease epidemiology
  • Public health surveillance
  • Microbiology and diagnostics

Background:

  • Sub-Saharan Africa faces a significant burden from acute respiratory infections (ARI), acute gastrointestinal infections (GI), and acute febrile disease of unknown cause (AFDUC), particularly in children.
  • Unresolved etiologies for these common diseases necessitate improved diagnostic and surveillance strategies, a need amplified by the COVID-19 pandemic.
  • The African Network for Improved Diagnostics, Epidemiology and Management of Common Infectious Agents (ANDEMIA) is a sentinel surveillance study addressing these challenges.

Purpose of the Study:

  • To investigate the etiologies and clinical characteristics of ARI, GI, and AFDUC in sub-Saharan Africa.
  • To establish robust infectious disease surveillance for the early detection of emerging and common pathogens.
  • To strengthen network collaboration and enhance diagnostic capacities for improved patient care and quality management.

Main Methods:

  • ANDEMIA involves 12 healthcare facilities across four African countries, utilizing syndrome-specific sampling and comprehensive laboratory diagnostics, including classic bacteriology, antimicrobial resistance screening, multiplex PCR, and High Throughput Sequencing.
  • The study incorporated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing and genomic analysis in March 2020.
  • Epidemiological data are collected via standardized questionnaires, with a nested case-control study employing logistic regression and Bayesian estimation for etiologic and risk factor analysis.

Main Results:

  • The study is actively collecting and analyzing data on infectious disease etiologies and clinical presentations across diverse settings.
  • Advanced diagnostic techniques are being employed to identify a wide range of pathogens, including common and novel infectious agents.
  • The integrated analytic approach aims to provide a clearer understanding of disease causes and associated risk factors.

Conclusions:

  • ANDEMIA significantly expands the understanding of ARI, GI, and AFDUC etiologies in sub-Saharan Africa through a comprehensive laboratory diagnostics strategy.
  • The network facilitates the early detection of emerging infectious threats and ongoing monitoring of prevalent pathogens.
  • Enhanced diagnostic capabilities and strengthened collaborations are expected to improve overall patient care and public health management.
Abstract

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