Serological Evidence of Potential Marburg Virus Circulation in Livestock and Dogs in Ghana

Theophilus Odoom1, Sherry Ama Mawuko Johnson2, William Tasiame3

  • 1Veterinary Services Department, Ministry of Food and Agriculture, Accra M-37, Ghana.

PubMed

Insights

Marburg virus antibodies were found in over 20% of livestock and dogs in Ghana, indicating potential roles in disease transmission. Higher infection rates were observed during the rainy season and in older animals.

Area of Science:

  • Veterinary Medicine
  • Infectious Diseases
  • One Health Approach

Background:

  • Marburg virus disease (MVD) is a severe zoonotic hemorrhagic fever with high fatality rates.
  • Ghana experienced its first human MVD outbreak in June 2022, highlighting the need to understand disease transmission dynamics.
  • The role of livestock and domestic animals in Marburg virus (MARV) circulation remained unclear following the outbreak.

Purpose of the Study:

  • To assess the seroprevalence of Marburg virus (MARV) antibodies in livestock and dogs in Ghana.
  • To identify risk factors associated with MARV exposure in these animal populations.
  • To investigate the potential role of animals as intermediaries in MARV transmission.

Main Methods:

  • Sera from 3113 livestock and dogs across five regions were collected during rainy and dry seasons.
  • Indirect ELISA was used to screen for MARV antibodies.
  • Dot blotting confirmed the presence of antibodies against MARV glycoprotein (GP).

Main Results:

  • Overall MARV antibody prevalence was 20.6% across all tested animals.
  • Species-specific prevalence varied: cattle (28.7%), sheep (21.8%), goats (19.5%), dogs (15.3%), and pigs (11.2%).
  • Seropositivity was significantly higher in the rainy season (RR 1.5) and in older animals (RR 2.6).

Conclusions:

  • Livestock and dogs in Ghana show evidence of Marburg virus exposure.
  • Seasonal patterns and animal age are associated with MARV seropositivity.
  • Continuous surveillance and further research into the One Health framework are crucial for understanding and controlling MARV transmission.