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Assessment of the pathogen genomics landscape highlights disparities and challenges for effective AMR Surveillance and outbreak response in the East African community.
Nguinkal, Julien A; Zoclanclounon, Yedomon A B; Molina, Andrea; Roba, Abdi; Nyakio, Ndia M; Lokamar, Peter N; Nzoyikorera, Néhémie; Ihorimbere, Théogène; Nyandwi, Joseph; Aguer, Mamdouh A; Maror, James A; Lokore, Michael Lasuba; Francis, Monica Fredrick; Mapunda, Lawrence A; Beyanga, Medard; Muyigi, Tonny; Pimundu, Godfrey; Nabadda, Susan N; Kabalisa, Emmanuel; Umuringa, Jeanne d'Arc; Tare, Isabelle Mukaga; Lagu, Hakim I; Achol, Emmanuel; May, Jürgen; Affara, Muna; Gehre, Florian.
  • Nguinkal JA; Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany. julien.nguinkal@bnitm.de.
  • Zoclanclounon YAB; Plant Sciences and the Bioeconomy, Rothamsted Research, Harpenden, AL5 2JQ, UK.
  • Molina A; Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
  • Roba A; Animal Science School, University of Costa Rica, San José, Costa Rica.
  • Nyakio NM; Department of Disease Surveillance and Epidemic Response, Ministry of Health, Nairobi, Kenya.
  • Lokamar PN; Department of Disease Surveillance and Epidemic Response, Ministry of Health, Nairobi, Kenya.
  • Nzoyikorera N; Department of Disease Surveillance and Epidemic Response, Ministry of Health, Nairobi, Kenya.
  • Ihorimbere T; National Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
  • Nyandwi J; National Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
  • Aguer MA; National Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
  • Maror JA; National Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan.
  • Lokore ML; National Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan.
  • Francis MF; National Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan.
  • Mapunda LA; National Public Health Laboratory, Ministry of Health, Dar es Salam, Tanzania.
  • Beyanga M; National Public Health Laboratory, Ministry of Health, Dar es Salam, Tanzania.
  • Muyigi T; National Public Health Laboratory, Ministry of Health, Dar es Salam, Tanzania.
  • Pimundu G; Central Public Health Laboratories, National Health Laboratories, Ministry of Health, Kampala, Uganda.
  • Nabadda SN; Central Public Health Laboratories, National Health Laboratories, Ministry of Health, Kampala, Uganda.
  • Kabalisa E; Central Public Health Laboratories, National Health Laboratories, Ministry of Health, Kampala, Uganda.
  • Umuringa JD; Biomedical Services Department, Biomedical Centre Rwanda, Kigali, Rwanda.
  • Tare IM; Biomedical Services Department, Biomedical Centre Rwanda, Kigali, Rwanda.
  • Lagu HI; Biomedical Services Department, Biomedical Centre Rwanda, Kigali, Rwanda.
  • Achol E; Health Department, East African Community (EAC), Arusha, Tanzania.
  • May J; Health Department, East African Community (EAC), Arusha, Tanzania.
  • Affara M; Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
  • Gehre F; Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
BMC Public Health ; 24(1): 1500, 2024 Jun 05.
Article en En | MEDLINE | ID: mdl-38840103
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Brotes de Enfermedades / Genómica Límite: Humans País como asunto: Africa Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Brotes de Enfermedades / Genómica Límite: Humans País como asunto: Africa Idioma: En Año: 2024 Tipo del documento: Article