Evidence map›Paper›PMID 38840103›Full record

ArticleBMC public health2024

Assessment of the pathogen genomics landscape highlights disparities and challenges for effective AMR Surveillance and outbreak response in the East African community.

Julien A Nguinkal, Yedomon A B Zoclanclounon, Andrea Molina, Abdi Roba, Ndia M Nyakio, Peter N Lokamar, Néhémie Nzoyikorera, Théogène Ihorimbere, Joseph Nyandwi, Mamdouh A Aguer and 16 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Strain-level analyses of public sequencing data to characterizeOne health (Amsterdam, Netherlands) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Julien A NguinkalDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany. julien.nguinkal@bnitm.de.
Yedomon A B ZoclanclounonPlant Sciences and the Bioeconomy, Rothamsted Research, Harpenden, AL5 2JQ, UK.
Andrea MolinaDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Abdi RobaDepartment of Disease Surveillance and Epidemic Response, Ministry of Health, Nairobi, Kenya.
Ndia M NyakioDepartment of Disease Surveillance and Epidemic Response, Ministry of Health, Nairobi, Kenya.
Peter N LokamarDepartment of Disease Surveillance and Epidemic Response, Ministry of Health, Nairobi, Kenya.
Néhémie NzoyikoreraNational Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
Théogène IhorimbereNational Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
Joseph NyandwiNational Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
Mamdouh A AguerNational Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan.
James A MarorNational Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan.
Michael Lasuba LokoreNational Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan.
Monica Fredrick FrancisNational Public Health Laboratory, Ministry of Health, Dar es Salam, Tanzania.
Lawrence A MapundaNational Public Health Laboratory, Ministry of Health, Dar es Salam, Tanzania.
Medard BeyangaNational Public Health Laboratory, Ministry of Health, Dar es Salam, Tanzania.
Tonny MuyigiCentral Public Health Laboratories, National Health Laboratories, Ministry of Health, Kampala, Uganda.
Godfrey PimunduCentral Public Health Laboratories, National Health Laboratories, Ministry of Health, Kampala, Uganda.
Susan N NabaddaCentral Public Health Laboratories, National Health Laboratories, Ministry of Health, Kampala, Uganda.
Emmanuel KabalisaBiomedical Services Department, Biomedical Centre Rwanda, Kigali, Rwanda.
Jeanne d'Arc UmuringaBiomedical Services Department, Biomedical Centre Rwanda, Kigali, Rwanda.
Isabelle Mukaga TareBiomedical Services Department, Biomedical Centre Rwanda, Kigali, Rwanda.
Hakim I LaguHealth Department, East African Community (EAC), Arusha, Tanzania.
Emmanuel AcholHealth Department, East African Community (EAC), Arusha, Tanzania.
Jürgen MayDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Muna AffaraDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Florian GehreDepartment of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The East African Community (EAC) grapples with many challenges in tackling infectious disease threats and antimicrobial resistance (AMR), underscoring the importance of regional and robust pathogen genomics capacities. However, a significant disparity exists among EAC Partner States in harnessing bacterial pathogen sequencing and data analysis capabilities for effective AMR surveillance and outbreak response. This study assesses the current landscape and challenges associated with pathogen next-generation sequencing (NGS) within EAC, explicitly focusing on World Health Organization (WHO) AMR-priority pathogens. The assessment adopts a comprehensive approach, integrating a questionnaire-based survey amongst National Public Health Laboratories (NPHLs) with an analysis of publicly available metadata on bacterial pathogens isolated in the EAC countries. In addition to the heavy reliance on third-party organizations for bacterial NGS, the findings reveal a significant disparity among EAC member States in leveraging bacterial pathogen sequencing and data analysis. Approximately 97% (n = 4,462) of publicly available high-quality bacterial genome assemblies of samples collected in the EAC were processed and analyzed by external organizations, mainly in Europe and North America. Tanzania led in-country sequencing efforts, followed by Kenya and Uganda. The other EAC countries had no publicly available samples or had all their samples sequenced and analyzed outside the region. Insufficient local NGS sequencing facilities, limited bioinformatics expertise, lack of adequate computing resources, and inadequate data-sharing mechanisms are among the most pressing challenges that hinder the EAC's NPHLs from effectively leveraging pathogen genomics data. These insights emphasized the need to strengthen microbial pathogen sequencing and data analysis capabilities within the EAC to empower these laboratories to conduct pathogen sequencing and data analysis independently. Substantial investments in equipment, technology, and capacity-building initiatives are crucial for supporting regional preparedness against infectious disease outbreaks and mitigating the impact of AMR burden. In addition, collaborative efforts should be developed to narrow the gap, remedy regional imbalances, and harmonize NGS data standards. Supporting regional collaboration, strengthening in-country genomics capabilities, and investing in long-term training programs will ultimately improve pathogen data generation and foster a robust NGS-driven AMR surveillance and outbreak response in the EAC, thereby supporting global health initiatives.

Indexed as

Disease OutbreaksGenomicsAfrica, EasternBacteriaDrug Resistance, BacterialEast African PeopleGenome, BacterialHigh-Throughput Nucleotide SequencingHumansCapacity-buildingEast African communityNGS capabilitiesOutbreak responsePathogen genomicsPathogens data sharingPublic health surveillanceWHO priority pathogens

Identifiers

PMID38840103
PMCPMC11151545

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.