Zubair Khalid

Virologist/Molecular Biologist | Veterinarian | Bioinformatician

Conventional & Molecular Virology • Vaccine Development • Computational Biology

Dr. Zubair Khalid is a veterinarian and virologist specializing in conventional and molecular virology, vaccine development, and computational biology. Dedicated to advancing animal health through innovative research and multi-omics approaches.

Dr. Zubair Khalid - Veterinarian, Virologist, and Vaccine Development Researcher specializing in Computational Biology, Multi-omics, Animal Health, and Infectious Disease Research

Section: Avian Bacteria

Highly Pathogenic Avian Influenza (H5N1) in Poultry and Wild Birds: Clinical Signs, Transmission Dynamics, and Surveillance Maps

Three colorful chickens perched on a branch, showcasing their vibrant feathers in a rural garden setting
Photo by Erwin Bosman on Pexels.

Introduction

Highly pathogenic avian influenza (HPAI) H5N1 viruses of the A/goose/Guangdong/1/1996 lineage, particularly those belonging to clade 2.3.4.4b, have caused a protracted global panzootic in poultry and wild birds since 2020 [1, 2, 3]. This clade has demonstrated remarkable genetic plasticity, frequent reassortment, and an expanding host range that includes numerous avian taxa and an increasing number of mammalian species [4, 70, 71]. The virus is characterized by a multibasic cleavage site in the hemagglutinin (HA) protein, conferring systemic tropism and high mortality in gallinaceous poultry. The sustained circulation of H5N1 clade 2.3.4.4b in wild bird populations complicates eradication efforts and drives continuous spillover into domestic poultry holdings [55, 63]. Understanding the clinical presentation, transmission ecology, and spatial epidemiology of this pathogen is critical for veterinary diagnostics and control planning. This article provides a detailed reference on clinical signs, transmission dynamics, and surveillance mapping approaches for H5N1 HPAI in poultry and wild birds.

Clinical Signs in Poultry

The clinical presentation of H5N1 clade 2.3.4.4b infection in poultry varies by species, age, immune status, and viral genotype [5, 84, 91]. In chickens and turkeys, peracute disease is common, with sudden death as the first indicator of an outbreak [6, 7]. Surviving birds may exhibit severe depression, anorexia, ruffled feathers, and a marked drop in egg production [8]. Respiratory signs include dyspnea, rales, and conjunctivitis. Edema of the head, wattles, and comb is frequently observed, along with cyanosis of the comb and shanks. Neurologic signs such as ataxia, torticollis, and paralysis occur in a subset of cases due to viral neurotropism [84, 91]. Hemorrhagic lesions on the shanks and petechiae on visceral organs are common postmortem findings.

Table 1 summarizes the key clinical signs observed across different poultry species.

Table 1. Clinical Signs of H5N1 Clade 2.3.4.4b Infection in Poultry

Species Typical Clinical Signs Approximate Mortality Rate
Chickens (Gallus gallus) Sudden death, depression, edema of comb/wattles, cyanosis, respiratory distress, neurologic signs, drop in egg production 80-100% within 48-72 hours [5, 84]
Turkeys (Meleagris gallopavo) Similar to chickens: severe depression, sinusitis, edema, high mortality 90-100% [91, 101]
Ducks (Anas platyrhynchos) Often asymptomatic or mild; lethargy, decreased feed intake, occasional neurologic signs; some strains cause high mortality Variable (0-100% depending on age and virus strain) [8, 9]
Geese Similar to ducks but may show more pronounced neurologic signs Moderate to high [8]
Game birds (pheasants, quail) Depression, respiratory signs, mortality High

Ducks frequently act as silent carriers, shedding virus without overt clinical disease, which complicates early detection in mixed poultry operations [8, 9, 77]. Pigeons (Columba livia) exhibit low susceptibility and poor transmission capacity for clade 2.3.4.4b viruses. The innate immune response, including interferon regulatory factor 1 (IRF1) signaling, influences clinical outcome in chickens. Host genetics and laying activity also modulate disease severity. Pathological findings include necrotizing pancreatitis, myocarditis, and encephalitis.

Clinical Signs in Wild Birds

Wild birds, particularly waterfowl (Anatidae) and gulls (Laridae), are primary reservoirs of H5N1 clade 2.3.4.4b [79, 85]. Many dabbling ducks (e.g., mallards) can carry the virus asymptomatically, but some species develop clinical disease [10, 8]. Mortality events in wild birds have been documented in terns (Sterna hirundo) in Namibia, with birds presenting with severe neurologic signs including circling, head tilt, and inability to fly [6]. Similar neurologic presentations have been reported in gulls and raptors. Infected mute swans and geese may show lethargy, swimming in circles, and respiratory distress. Seabirds and marine mammals in South America have experienced spillback events, suggesting persistent circulation in coastal ecosystems. Surveillance of wild bird mortality is a cornerstone of early warning systems [50, 55]. In France, systematic collection of dead wild birds and RT-qPCR testing provided key insights into the spatiotemporal spread of H5N1 from 2016 to 2022.

Transmission Dynamics

Transmission of H5N1 HPAI occurs through multiple pathways: direct bird-to-bird contact, inhalation of aerosolized respiratory secretions, ingestion of contaminated feed or water, and fomite transport [11, 12, 82]. The virus is shed in high titers in respiratory and fecal material, particularly from infected ducks. Environmental persistence of H5N1 in water and organic matter facilitates indirect transmission. Acidic conditions and pH affect virus stability in milk and other matrices, though relevance for poultry is indirect. Ultraviolet germicidal irradiation can reduce airborne viral loads in poultry houses.

Wild birds introduce H5N1 into poultry flocks through direct contact or contamination of shared water sources and feed [13, 55, 63]. Once introduced, within-flock transmission is rapid, driven by high stocking densities and limited biosecurity [11]. Farm size, outdoor access, and farm density are significant risk factors for epidemic spread [13, 11]. In the Netherlands, modeling studies demonstrated that outdoor farming increases the probability of H5N1 introduction [11]. Partial culling strategies, as applied in Lower Saxony, Germany, may reduce within-flock transmission but are less effective than full depopulation [14]. The role of fomites and contaminated equipment is well documented; live bird markets are particularly high-risk interfaces [15, 76]. Mechanistic models of HPAI transmission often fail to capture cross-species dynamics, limiting predictive accuracy [16].

Figure 1 illustrates the major transmission pathways between wild birds, poultry, and the environment.

graph TD
 A[Wild Bird Reservoir] -->|Fecal shedding, respiratory droplets| B[Surface Water / Feed]
 A -->|Direct contact| C[Commercial Poultry Farm]
 A -->|Aerosol| D[Backyard Flocks]
 B --> C
 B --> D
 C -->|Intensive within-flock spread| E[High Mortality]
 C -->|Fomites, personnel| F[Other Farms]
 D --> F
 D -->|Reversion to wild birds| A
 E -->|Culling| G[Outbreak Control]
 F --> H[Regional Epidemic]
 H -->|Environmental contamination| A

Figure 1. Schematic of H5N1 transmission pathways in the poultry-wild bird interface.

Mammalian spillover events, including infections in dairy cattle, domestic cats, and wild carnivores, have raised concerns about sustained transmission outside avian hosts [17, 18, 65, 85, 90, 92]. In Germany, H5N1 was detected in domestic cats on infected poultry premises [7]. Serologic evidence of infection was found in a veterinary professional exposed to an infected cat [19]. Alpacas in the United States have also tested positive for H5N1 clade 2.3.4.4b. These events underscore the plasticity of H5N1 and the need for One Health surveillance [17, 92]. However, experimental studies in ferrets indicate limited respiratory droplet transmission of recent human isolates, suggesting that airborne spread among mammals may not be efficient.

Surveillance Maps and Risk Modeling

Spatial surveillance mapping integrates epidemiological data with environmental and ecological variables to identify high-risk areas for H5N1 introduction and spread [20, 21, 60, 70]. Geographic information system (GIS) based risk mapping has been applied in Morocco using multi-criteria decision analysis that considered waterbody proximity, poultry density, migratory bird routes, and biosecurity indicators. Similarly, district-level risk assessments have been performed for live bird markets in Bogor, Indonesia [15]. Continuous phylogeography using Bayesian inference has revealed shifting environmental drivers of H5 spread in Italy between 2016 and 2023, showing that temperature and precipitation patterns influence viral dispersal [21].

Machine learning algorithms have been employed to optimize wild bird fecal surveillance sites by predicting HPAI occurrence probability based on habitat features and bird movements [20]. The European Food Safety Authority (EFSA) has produced periodic overview maps of H5N1 detections in Europe, incorporating both wild bird mortality and poultry outbreaks [3]. Global risk mapping efforts have highlighted that regions with high waterfowl abundance and intensive poultry production are at greatest risk [70, 79]. Integration of ENSO based forecasts with regional modeling has shown promise for predicting H5N1 emergence in Asia. In the United States, temporal analysis of H5N1 outbreaks in commercial and non-commercial flocks between 2022 and 2025 identified seasonal peaks and geographic clustering [22].

Risk modeling also informs sample size calculations for emergency surveillance in secondary infected farms [23]. Environmental metagenomics from live poultry markets enhances detection of circulating viruses and provides a supplementary tool for spatial surveillance. The use of phylogeographic models in France and Spain has confirmed that wild birds are the primary drivers of viral incursion [50, 55]. In Japan, inter-species transmission dynamics were elucidated through phylogenetic analysis of H5N1 sequences from poultry, wild birds, and the environment.

Diagnostic Considerations

Accurate diagnosis of H5N1 HPAI relies on molecular detection methods, principally real-time reverse transcription polymerase chain reaction (RT-qPCR) targeting the matrix gene or H5-specific assays [89, 97, 99]. Subtyping RT-qPCR assays have been validated for H5 detection in respiratory and fecal samples. Virus isolation in embryonated chicken eggs or cell culture remains the gold standard for strain characterization, though isolation success rates can be low from wild bird samples. Biosensor technologies, including electrochemical and optical platforms, are emerging as rapid, field-deployable alternatives. Nanobody-based detection systems have been developed for H9N2 and may be adapted for H5N1 [24]. External quality assessment programs in the Netherlands confirm that diagnostic laboratories can reliably detect avian influenza A viruses using established molecular protocols. Sequencing of the HA and NA genes is essential for clade assignment and genotyping, as demonstrated in Pennsylvania outbreaks where multiple genotypes of clade 2.3.4.4b co-circulated [5, 52]. Serologic surveillance using hemagglutination inhibition assays provides evidence of past infection, but may not detect active cases [8, 65].

Control and Prevention

Control of H5N1 HPAI in poultry relies on rapid outbreak detection, strict biosecurity, stamping out policies, and movement restrictions [25, 82]. In the United States, commercial flocks have remained unvaccinated against H5, a policy driven by trade and surveillance considerations [25]. Partial culling has been explored as a welfare-sparing alternative in certain European regions [14]. Vaccination strategies include inactivated whole-virus vaccines and recombinant viral vectors expressing H5 hemagglutinin [26, 27, 66, 73, 101]. Trimeric HA protein vaccines have provided complete protection against lethal H5N1 clade 2.3.4.4b challenge in chickens [26]. Recombinant Newcastle disease virus based vaccines co-expressing H5 have shown efficacy against both HPAI and velogenic Newcastle disease. Mucosal vaccination approaches are under investigation for enhanced respiratory tract immunity. In turkeys, inactivated H5 vaccines have demonstrated protective efficacy. Antiviral compounds such as baloxavir marboxil have reduced viremia and disease severity in ferret models. However, prophylactic antiviral use in poultry is not currently recommended. Biosecurity measures, including disinfection protocols, rodent control, and limiting farm access, remain the primary defense. Smallholder poultry producers often face barriers to implementing biosecurity due to cost and trust issues. Public perception and misinformation on social media can undermine control efforts [29].

Conclusion

Highly pathogenic avian influenza H5N1 clade 2.3.4.4b continues to pose a significant threat to poultry production and wild bird conservation globally. The virus causes a spectrum of clinical signs ranging from sudden death in chickens to asymptomatic carriage in ducks. Transmission dynamics are driven by wild bird movements, environmental contamination, and poultry farming practices. Surveillance maps and risk models, incorporating GIS, phylogeography, and machine learning, are essential tools for targeting early detection and response. Continued investment in diagnostics, vaccine development, and biosecurity research is necessary to mitigate the panzootic impact.

References

[1] Giacinti J, Signore A, Torchetti M et al. North American perspective on the highly pathogenic avian influenza H5Nx clade 2.3.4.4b outbreak (November 2021-March 2025). Can J Microbiol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42114152/

[2] Briand FX, Martenot C, Massin P et al. Re-emergence of a highly pathogenic avian influenza H5N1 virus of clade 2.3.4.4b in poultry in France. Infect Genet Evol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42107481/

[3] European Food Safety Authority (EFSA), European Centre for Disease Prevention and Control (ECDC), European Union Reference Laboratory for Avian Influenza (EURL) et al. Avian influenza overview December 2025-February 2026. EFSA J. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42016297/

[4] Meseko C, Zecchin B, Go-Maro EW et al. Emergence and Rapid Spread of a New Reassortant High Pathogenicity H5N1 Clade 2.3.4.4b Avian Influenza Virus in Nigeria. Influenza Other Respir Viruses. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42046457/

[5] Tewari D, Sekhwal MK, Nicholson C et al. Genotype Diversity of Highly Pathogenic Avian Influenza H5N1 Clade 2.3.4.4b in Pennsylvania Poultry During Disease Outbreak from April 2022 to March 2023. Viruses. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42198705/

[6] Hamunyela E, Coetzee L, Marcacci M et al. Highly pathogenic avian influenza H5N1 virus outbreak among common terns (Sterna hirundo) in Namibia, 2025-2026. Vet Ital. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42237945/

[7] Dressler A, Wagner-Wiening C, Tegtmeyer B et al. Highly pathogenic avian influenza A(H5N1) in poultry and domestic cats and occupational exposure among veterinary and other first responders, Germany, February 2026. Euro Surveill. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42141860/

[8] Stallknecht D, Carter D, Sullivan-Brügger L et al. Seasonal infection and antibody response to highly pathogenic H5N1 influenza A virus in ducks in the Mississippi and Central Flyways, United States. Can J Microbiol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41941827/

[9] Vijayakumar P, Mishra A, Rajamanickam K et al. Systems-Level Analysis of HPAI H5N1 Infection in Ducks: Integrating Transcriptomic, Proteomic, and Phosphoproteomic Data. Int J Mol Sci. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41898742/

[10] Lee JK, Kim MB, Kim SH et al. Surveillance of avian influenza viruses in migratory wild birds in South Korea, 2019-2025. J Vet Sci. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41947677/

[11] Chanchaidechachai T, Stegeman A, Velkers FC et al. Assessing the impact of outdoor farming, farm size, and farm density on highly pathogenic avian influenza epidemics: A modelling study in the Netherlands. One Health. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42094844/

[12] Fathelrahman E, Mohamed Ali M, Challa TG et al. Modeling and assessing Highly Pathogenic Avian Influenza (HPAI) spread, epidemiological control measures, and cost. PLoS One. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42060665/

[13] Oremush R, Aubry P, Parmley EJ et al. Determining the Environmental and Ecological Factors Associated With Poultry Farm Spillover of Highly Pathogenic Avian Influenza (H5N1) in British Columbia, Canada. Zoonoses Public Health. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42136541/

[14] Oettler MJ, Schulz K, Eisenberg SWF et al. Partial culling and HPAI control in poultry: insights from Lower Saxony, Germany. Front Vet Sci. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41938761/

[15] Sudarnika E, Pisestyani H, Idris S et al. District-level joint risk assessment of highly pathogenic avian influenza H5N1 at the human-animal-environment interface in live bird markets of Bogor, Indonesia. Vet World. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41822576/

[16] Wang M, Laison EKE, Philippsen T et al. Mechanistic modelling of highly pathogenic avian influenza: A scoping review revealing critical gaps in cross-species transmission models. PLoS One. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42060628/

[17] Pekar JE, Gangavarapu K, Crespo-Bellido A et al. The emergence and molecular evolution of H5N1 influenza viruses in United States dairy cattle. bioRxiv. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41959054/

[18] Li C, Lyu X, Li X et al. Current Status of Clade 2.3.4.4b H5N1 Highly Pathogenic Avian Influenza Virus Transmission in Mammals. China CDC Wkly. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41958484/

[19] Vaughan A, Joyce A, Traub E et al. Serologic Evidence of Highly Pathogenic Avian Influenza A(H5N1) Virus Infection in a Veterinary Professional Exposed to an Infected Domestic Cat - Los Angeles County, California, December 2024-January 2025. MMWR Morb Mortal Wkly Rep. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42096344/

[20] Kim S, Cho H, Jeong H et al. Optimizing wild bird fecal surveillance sites for HPAI through risk estimation using machine learning algorithms. One Health. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42294012/

[21] Fornasiero D, Mulatti P, Fusaro A et al. Continuous phylogeography reveals shifting environmental drivers of highly pathogenic avian influenza H5 spread in Italy, 2016-23. Virus Evol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41907063/

[22] Powell MR. Temporal Analysis of Highly Pathogenic Avian Influenza H5N1 in Commercial and Non-Commercial Flocks in the United States; 2022-2025. Risk Anal. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42227147/

[23] Iwamoto J, Makita K, Omori R. Estimation of sample size required to detect an outbreak of highly pathogenic avian influenza in a poultry farm during emergency surveillance for secondarily infected farms. Prev Vet Med. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41863909/

[24] Ye H, Dong Q, Qian M et al. Development and application of a VNAR-based detection nanobody for avian influenza virus H9N2. Front Immunol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41953018/

[25] Kromm M, Alexander C, Bonney P et al. United States poultry flocks remain unvaccinated against H5 influenza-but why? J Am Vet Med Assoc. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41999730/

[26] Chen T, Huang Q, Chen X et al. Trimeric hemagglutinin vaccine provides chickens complete protection against lethal H5 subtype avian influenza virus from clade 2.3.4.4b. Emerg Microbes Infect. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42269026/

[27] Rather MA, Aman M, Hassan A et al. A Comprehensive Review of Vaccine Technologies for Pandemic Preparedness Against Highly Pathogenic Avian Influenza. Rev Med Virol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42071177/

[29] Al-Rawi A, Ackah B, Fakida A et al. Misinformation in Social Media Narratives on Highly Pathogenic Avian Influenza: Systematic Content Analysis of Facebook and Instagram Posts. J Med Internet Res. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41955459/

[30] Xu S, Zhang Q, Xie X et al. A neutralizing nanobody targeting a conserved lateral patch on HA1 confers protection against multiple H7 avian influenza viruses. J Virol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42274212/

[31] So JR, Truong AD, Nguyen TU et al. HPAIV-induced heat shock protein expression in chickens and its potential NF-κB-mediated transcriptional regulation. Vet Immunol Immunopathol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42241795/

[32] Yehia N, Ibrahim M, Shady RM et al. Concurrent circulation of avian influenza viruses H5N1 and H9N2 enhances the genetic evolution of reassortant viruses in Egyptian poultry populations. PLoS One. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42102049/

[33] Kibiger L, Oltean HN, Leitz L et al. Fatal Human Case of Highly Pathogenic Avian Influenza A(H5N5) in a Backyard Flock Owner - Washington, November 2025. MMWR Morb Mortal Wkly Rep. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42096351/

[34] Chen X, Liu H, Jiang L et al. PA-X I94V mutation modulates the pathogenicity of the highly pathogenic H7N9 influenza A virus in mice and chickens. Vet Microbiol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42090884/

[35] Vlasiou MC. A One Health Computational Framework for Identifying PA Endonuclease Inhibitors Against Contemporary H5N1 Avian Influenza. Vet Sci. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42076757/

[36] Cordero-Ortiz M, Solís-Hernández M, Cayetano-Mondragón M et al. Antibody Recognition of Highly and Low-Pathogenic A/H5Nx Influenza Viruses in Sera of Mexican Donors. Pathogens. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42075679/

[37] Chen Y, Xiong J, Wang Y et al. Host Factors Potentially Contributing to Increased Susceptibility in Certain Layer Chicken Lines. Curr Issues Mol Biol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/42042019/

[38] Richardson SAS, Boodhoo N, Bhat S et al. Differential outcomes of viral co-infections with high pathogenicity avian influenza A(H5N6) and SARS-CoV-2 in mammalian in vitro systems. Virology. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41996893/

[39] Zhang T, Yang N, Ma L et al. Identification of duck type II interferon-stimulated genes and revelation of duIFI35 inhibition of H5N6 AIV replication by promoting apoptosis. Vet Res. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41992349/

[40] Zhang X, Chen J, Ge Z et al. Genetic and biological characterization of a duck-origin clade 2.3.4.4b H5N6 avian influenza virus reveals partial mammalian adaptation. Vet Microbiol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41946007/

[41] Solís-Hernández M, Orta-Pineda G, Alcazar-Ramiro CJ et al. Novel Reassortant H5N2 Highly Pathogenic Avian Influenza Viruses from Backyard Poultry in Mexico. Viruses. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41902245/

[42] Cardenas NC, Lopes FPN, de Souza PASC et al. First highly pathogenic avian influenza outbreak in a commercial poultry farm in Brazil: Outbreak timeline, control actions, risk analysis, and transmission modeling. Prev Vet Med. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41855951/

[43] Jeong HS, Heo GB, An SH et al. Evaluation of the inactivation of avian influenza virus in duck meat through electron beam irradiation. Food Sci Anim Resour. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41849046/

[44] Nguyen AD, Nguyen YN, Pham H et al. Effects of Antigen Dosage and Chitosan Micro/Nanoparticle Size on Immune Responses in Mice Immunized with H5N1 Influenza Vaccine. Polymers (Basel). 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41829340/

[45] Porto-Fett ACS, Alvarez-Narvaez S, Vinayamohan PG et al. Inactivation of Avian Influenza Virus in Raw Milk Kefir. Food Environ Virol. 2026. URL: https://pubmed.ncbi.nlm.nih.gov/41801534/


Disclaimer: This article is for educational and informational purposes only. It is not intended to substitute for professional veterinary advice, diagnosis, treatment, or regulatory guidance. Always consult a licensed veterinarian or qualified specialist regarding animal health, disease diagnosis, and therapeutic decisions.