Characterization of the first detected Avian Influenza A(H9N2) human case in Ghana

Ivy Asantewaa Asante, Nana Afia Asante-Ntim, Abigail Akua Abankwa, Obed Bangdome Ofori, Linda Boatemaa, Lorreta Kwasah, Joseph Ahia Quarcoo, Joseph A. Nyarko, Gifty Mawuli Sarpong, Stephen Ofori Nyarko, Vanessa Magnusen, Jennifer Wutsika, Samuel Ago, Esinam Aku Apefa Amenuvor, Juliet Wordui, Roberta Tackie, Ama Nyansema Sekyi-Yorke, Cecilia Takyi, Innocent Doku, William Kwabena AmpofoMildred Adusei-Poku, Patrick Dawson, Ndahwouh Talla Nzussouo, Daniel Owusu, Shirley Nimo-Paintsil, Naiki Attram, Franklin Asiedu Bekoe, Dennis Odai Laryea, Myrna Charles

Research output: Contribution to journalLetterpeer-review

Abstract

Avian influenza A(H9N2) has been circulating in poultry across Asia, the Middle East, and Africa, posing human health risks. In Ghana, it has co-circulated among poultry with influenza A (H5N1). This report describes Ghana’s first confirmed human case of avian influenza A(H9N2) virus infection in a two-year-old boy from Upper East Region, identified through active respiratory surveillance. Molecular and genomic analyses confirmed the virus was of the G1 lineage, closely related to other West African strains, with mammalian adaptive mutations known to increase human infection potential. The child experienced mild symptoms, received outpatient care, and recovered. Health authorities conducted epidemiological investigations. No source was identified for the child’s infection; no additional human infections were detected. This case highlights the importance of robust avian influenza surveillance in animals and humans, particularly in regions with human-animal interactions. It underscores the importance of national and global collaboration using a One Health approach to detect and prevent zoonotic spillovers and potential pandemics.

Original languageEnglish
Article number2556717
JournalEmerging Microbes and Infections
Volume14
Issue number1
DOIs
Publication statusPublished - 2025

Keywords

  • Avian influenza
  • Ghana
  • One-Health
  • cross over event
  • human
  • surveillance

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