# Longitudinal Active Avian Influenza Surveillance in Bangladesh From 2017–2022 Reveals Differential IAV and H5 Infection and Viral Burden Associated With Bird Species, Sex, and Age

## TL;DR

A study in Bangladesh from 2017–2022 found that male birds, especially ducks, are more likely to carry avian influenza viruses, including H5, and have higher viral loads.

## Contribution

The study identifies sex-specific and species-specific patterns in avian influenza virus infection and viral burden in Bangladesh.

## Key findings

- Male birds showed higher risk of IAV and H5 positivity compared to female birds.
- Ducks were specifically associated with higher IAV and H5 positivity.
- Chickens, male birds, and juveniles had higher viral loads than their counterparts.

## Abstract

Influenza viruses are a major global health burden with up to 650,000 associated deaths annually. Beyond seasonal illness, influenza A viruses (IAVs) pose a constant pandemic threat due to novel emergent viruses that have evolved the ability to jump from their natural avian hosts to humans. Because of this threat, active surveillance of circulating IAV strains in wild and domestic bird populations is vital to our pandemic preparedness and response strategies. Here, we report on IAV surveillance data collected from 2017 to 2022 from wild and domestic birds in Bangladesh. We note evidence to suggest that male birds show a higher risk of IAV, including highly pathogenic avian influenza (HPAI) A(H5) virus, positivity than female birds. The data was stratified to control for selection bias and confounding variables to test the hypothesis that male birds are at a higher risk of IAV positivity relative to female birds. The association of IAV and A(H5) largely held in each stratum, and double stratification suggested that the phenomena was largely specific to ducks. Finally, we show that chickens, male birds, and juvenile birds generally have higher viral loads compared to their counterparts. These observations warrant further validation through active surveillance across various populations. Such efforts could significantly contribute to the enhancement of pandemic prediction and risk assessment models.