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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Feb 17, 2023
Date Accepted: Jun 26, 2023

The final, peer-reviewed published version of this preprint can be found here:

Reported Global Avian Influenza Detections Among Humans and Animals During 2013-2022: Comprehensive Review and Analysis of Available Surveillance Data

Szablewski CM, Iwamoto C, Olsen SJ, Greene CM, Duca LM, Davis CT, Coggeshall KC, Davis WW, Emukule GO, Gould PL, Fry AM, Wentworth DE, Dugan VG, Kile JC, Azziz-Baumgartner E

Reported Global Avian Influenza Detections Among Humans and Animals During 2013-2022: Comprehensive Review and Analysis of Available Surveillance Data

JMIR Public Health Surveill 2023;9:e46383

DOI: 10.2196/46383

PMID: 37651182

PMCID: 10502594

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Global Avian Influenza Infections among Humans and Animals during 2013–2022

  • Christine M. Szablewski; 
  • Chelsea Iwamoto; 
  • Sonja J. Olsen; 
  • Carolyn M. Greene; 
  • Lindsey M. Duca; 
  • C. Todd Davis; 
  • Kira C. Coggeshall; 
  • William W. Davis; 
  • Gideon O. Emukule; 
  • Philip L. Gould; 
  • Alicia M. Fry; 
  • David E. Wentworth; 
  • Vivien G. Dugan; 
  • James C. Kile; 
  • Eduardo Azziz-Baumgartner

ABSTRACT

Background:

Avian influenza (AI) outbreaks occurred frequently in 2022 and continue to pose a health, economic, and food security risk. A comprehensive review of current global AI surveillance information is key to assessing the pandemic risk of AI viruses.

Objective:

We provide an analysis of global AI surveillance information from the last decade and identify risk factors of interest and surveillance gaps.

Methods:

We compared AI reports submitted to animal and public health authorities from January 2013 – June 2022 to January 2005 – December 2012. A multivariable regression analysis was used to evaluate associations between risk factors of interest and reported animal AI outbreaks.

Results:

From 2013–2022, 52% (95/182) of World Organization for Animal Health (WOAH) member-states identified 34 AI virus subtypes during 21,249 outbreaks. The most frequently reported subtypes were high pathogenic AI H5N1 (10,079, 47.4%) and H5N8 (6,722, 31.6%). Ten high pathogenic AI and six low pathogenic AI virus subtypes were reported to WOAH for the first time during 2013–2022. One in four member-states (26/95) did not report an outbreak prior to 2013. AI outbreaks in animals occurred in 26 more countries than reported in the previous eight years. Decreasing World Bank income classification was significantly associated with decreases in reported AI outbreaks. Seventeen (8.8%, 17/194) World Health Organization (WHO) member-states reported 2,000 human AI virus infections of 10 virus subtypes. H7N9 (1,568, 78.4%) and H5N1 (254, 12.7%) viruses accounted for the most human infections. Eight member-states did not report a human case prior to 2013. Of 1,953 human cases with available information, 75% (1,461/1,953) had a known animal exposure. The median time from illness onset to the notification posted on the WHO event information site was 15 days (IQR=21, Average= 23). Seasonality patterns of bird outbreaks and human infections with AI viruses were very similar, occurred year-round, and peaked during November through May.

Conclusions:

Our analysis suggests that AI outbreaks are more frequent and geographically widespread than in the past. Global surveillance gaps include reporting delays and inconsistent reporting from all regions. Continued monitoring for AI outbreaks in animals and human infections with AI viruses is crucial for pandemic preparedness.


 Citation

Please cite as:

Szablewski CM, Iwamoto C, Olsen SJ, Greene CM, Duca LM, Davis CT, Coggeshall KC, Davis WW, Emukule GO, Gould PL, Fry AM, Wentworth DE, Dugan VG, Kile JC, Azziz-Baumgartner E

Reported Global Avian Influenza Detections Among Humans and Animals During 2013-2022: Comprehensive Review and Analysis of Available Surveillance Data

JMIR Public Health Surveill 2023;9:e46383

DOI: 10.2196/46383

PMID: 37651182

PMCID: 10502594

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