A case-control study to identify risk factors associated with avian influenza subtype H9N2 on commercial poultry farms in Pakistan

Prevalence and risk factor for H9N2 avian influenza virus in poultry retail shops of Madhya Pradesh

H9N2 avian Influenza virus subtype is highly neglected but have the potential to emerge as a next pandemic influenza virus, by either itself evolution or through the donation of genes to other subtype. So to understand the extent of H9N2 virus prevalence and associated risk factors in poultry of retail shops and their surrounding environment a cross sectional study was carried out. A total of 500 poultry tissue and 700 environmental samples were collected from 20 district of Madhya Pradesh. Virus isolation was carried out in egg inoculation and harvested allantoic fluid was tested for HA and further molecular confirmation of subtypes by RT-PCR using H9 specific primers. Prevalence was calculated and positive samples were statistically associated with observed risk factors using univariate and multivariate logistic regression analysis. A total of 9.4% and 9.7% prevalence in tissue samples and environmental samples has been reported respectively and out of 20 districts 10 (50%) were found positive for the virus. Out of 21 studied risk factors only two risk factors named as "keeping total number birds slaughtered per day" and "procuring birds from wholesaler" were found significantly associated with the H9N2 positivity in multivariate logistic regression analysis. This high level of H9N2 positivity in birds with no clinical manifestations providing a great opportunity for avian influenza virus for amplification, co-infection in other animals like dogs, cats, pigs and in human through genetic re-assortment that may lead to emergence of a novel influenza virus with high zoonotic potential.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13337-024-00865-y.

Isolation, Molecular, and Histopathological Patterns of a Novel Variant of Infectious Bursal Disease Virus in Chicken Flocks in Egypt

After an extended period of detecting classical virulent, attenuated, and very virulent IBDV, a novel variant (nVarIBDV) was confirmed in Egypt in this study in 18, IBD vaccinated, chicken flocks aged 19-49 days. Partial sequence of viral protein 2 (VP2) [219 aa, 147-366, resembling 657 bp] of two obtained isolates (nos. 3 and 4) revealed nVarIBDV (genotype A2d) and OR682618 and OR682619 GenBank accession numbers were obtained. Phylogenetic analysis revealed that both nVarIBDV isolates were closely related to nVarIBDV strains (A2d) circulating in China, exhibiting 100% identity to SD-2020 and 99.5-98.1% similarity to ZD-2018-1, QZ, GX and SG19 strains, respectively. Similarity to USA variant strains, belonging to genotypes A2b (9109), A2c (GLS) and A2a (variant E), respectively, was 95.5-92.6%. Also, the VP2 hypervariable region in those two, A2d, isolates revealed greater similarities to Faragher 52/70 (Vaxxitek®) at 90.4% and to an Indian strain (Ventri-Plus®) and V217 (Xtreme®) at 89.7% and 86-88.9% in other vaccines. Histopathological examination of both the bursa of Fabricius and spleen collected from diseased chickens in flock no. 18 revealed severe atrophy. In conclusion, further studies are required to investigate the epidemiological situation of this novel genotype across the country, and to assess various vaccine protections against nVarIBDV. Additionally, vaccination of breeders with inactivated IBD vaccines including this nVarIBDV is essential to obtain specific maternal antibodies in their broilers.

Risk Factors Associated with Avian Influenza Subtype H9 Outbreaks in Poultry Farms of Central Lowland Nepal

Low pathogenic avian influenza (LPAI) of subtype H9 outbreaks have been frequently occurring in major commercial hubs of Nepal including Chitwan, a central lowland area, causing substantial economic losses to the farmers. However, the risk factors associated with these outbreaks have been poorly understood, and hence, this case-control study was conducted in Chitwan, Nawalpur, and Makawanpur districts of Nepal from October 2019 to March 2020. A total of 102 farms were selected in which 51 were case farms, and 51 were controls. Case farms were avian influenza (AI)-subtype-H9-confirmed farms through polymerase chain reaction (PCR) assays on poultry samples. Control farms included farms that were AI-negative in the antigen test brought to the National Avian Disease Investigation Laboratory, Chitwan, for diagnosis during the study period. Each farm was visited to collect information using a semi-structured questionnaire. A total of 25 variables representing farm characteristics and biosecurity measures were considered as potential risk factors. The final multivariable model showed that distance of less than 0.5 km from the main road (OR = 4.04, 95% CI = 1.20–13.56, p = 0.023), distance of less than 1 km from a nearest infected farm (OR = 76.42, 95% CI = 7.17–814.06, p = 0.0003), and wild birds coming around the farm (OR = 6.12, 95% CI = 1.99–18.79, p = 0.0015) were risk factors for avian influenza type H9, whereas using apron or separate cloth inside the shed (OR = 0.109, 95% CI = 0.020–0.577, p = 0.0092) was shown to reduce the risk of farms being positive for AI subtype H9. These findings suggest that due consideration should be given to site selection while establishing the farms and the importance of implementing appropriate biosecurity measures, such as using separate cloth inside the shed and preventing the entry of wild birds inside the farm to reduce the potential risk of introduction of avian influenza type H9 to their poultry farms.

Effect of Avian Influenza H9N2 Subtype Virus Infection on Backyard Poultry Production

Avian influenza is a viral pandemic disease of humans and birds, including commercial and house poultry. Avian influenza is a major concern around the world, which causes serious economic losses in the poultry industry, mainly in home backyard poultry. The backyard poultry is the potential source of income for rural people and indirectly contributes to decreasing the poverty of household women. Besides, in many developing countries, villagers full fill a part of their food demand by the backyard poultry; however, this sector is directly affected by biosecurity risks, including high and low pathogenic avian influenza infections like avian influenza H9N2 subtype. Avian influenza H9N2 subtype has low pathogenic zoonotic importance but still causes serious threats to the poultry industry. The backyard poultry industry is directly affected by this infection due to direct contact with wild migratory birds locating in different regions of the world. Antigenic drift and shift are one of the major conflicts of this infection resulting from a few days to a few months up to many years and also the main reason for the uncontrollable mutation in this infection. All over the world, there is no serious action taken to prevent the H9N2 subtype infection in backyard poultry. This situation has become severe because of the widespread of highly pathogenic avian influenza viruses in the past few years.

Risk factors associated with Avian Influenza subtype H9 outbreaks in poultry farms in Kathmandu valley, Nepal

The poultry sector contributes four percent to the national GDP of Nepal. However, this sector is under threat with periodic outbreaks of Avian Influenza (AI) subtypes H5 and H9 since 2009. This has been both a public health threat and an economic issue. Since the past few years, outbreaks of AI subtype H9 have caused huge economic losses in major poultry producing areas of Nepal. However, the risk factors associated with these outbreaks have not been assessed. A retrospective case-control study was conducted from April 2018 to May 2019 to understand the risk factors associated with AI subtype H9 outbreaks in Kathmandu valley. Out of 100 farms selected, 50 were “case” farms, confirmed positive to H9 at Central Veterinary Laboratory, Kathmandu, and another 50 farms were “control” farms, matched for farm size and locality within a radius of three km from the case farm. Each farm was visited to collect information using a semi-structured questionnaire. Twelve potential risk factors were included in the questionnaire under the broad categories: birds and farm characteristics, and management and biosecurity status of the farms. Univariable and multivariable logistic regression analysis was conducted and corresponding odds ratios were calculated. Risk factors, associated with AI subtype H9 outbreaks in Kathmandu valley, identified in the final multivariable model were: “farms that have flock size greater than median flock size of study farms (>1500)” (OR = 4.41, 95% CI: 1.53–12.71, p = 0.006), “farms that did not apply rules to wear boots for visitors inside the farms” (OR = 4.32, 95% CI: 1.52–12.29, p = 0.006) and “other commercial farms located within one km periphery” (OR = 10, 95% CI: 1.8–50, p = 0.007). This study showed that outbreaks of AI subtype H9 in Kathmandu valley were associated with a higher population of birds in the farm, poor management practices, and weak biosecurity measures in poultry farms. We suggest improving management practices and increase biosecurity in the farms to reduce incidences of AI subtype H9 outbreaks in Kathmandu valley.

Avian influenza at animal-human interface: One-health challenge in live poultry retail stalls of Chakwal, Pakistan

Background

Live poultry retail stalls (LPRSs) are believed to be the source of human infection with avian influenza viruses (AIVs); however, little is known about epidemiology of these viruses in LPRSs of Pakistan.

Objectives

The current study was conducted to estimate the virological and serological prevalence of AIVs in humans and poultry and associated risk factors among seropositive butchers.

Methods

A field survey of LPRSs of Chakwal District was conducted between December 2015 and March 2016. In total, 322 samples (sera = 161 and throat swab = 161) from butchers and 130 pooled oropharyngeal swabs and 100 sera from birds were collected. Baseline sera (n = 100) from general population were also tested. Data were collected by structured questionnaires. Sera were tested by hemagglutination inhibition (HI) test further confirmed by micro‐neutralization test (MN). Swabs were processed by real‐time RT‐PCR. Logistic regression analyses were conducted to identify risk factors.

Results

In butchers, 15.5% sera were positive for antibodies against H9 virus using a cutoff of ≥40 in HI titer; 6% sera from general population were positive for H9. Seroprevalence in poultry was 89%, and only 2.30% swabs were positive for H9. Presence of another LPRS nearby and the number of cages in the stall were risk factors (OR > 1) for H9 seroprevalence in butchers.

Conclusions

This study provides evidence of co‐circulation of H9 virus in poultry and exposure of butchers in the LPRSs, which poses a continued threat to public health. We suggest regular surveillance of AIVs in occupationally exposed butchers and birds in LPRSs.

The Effect of Infectious Bursal Disease Virus-Induced Immunosuppression on Vaccination Against Highly Pathogenic Avian Influenza Virus

Poor efficacy of avian influenza virus (AIV) vaccines in chickens has been documented in the field in spite of good results in experimental settings. Although the causes are multifactorial and complex, one contributing factor may be prior infection with immunosuppressive viruses. In an effort to evaluate the role of immunosuppressive agents on AIV pathogenesis and vaccine efficacy, the effect of prior infection with infectious bursal disease virus (IBDV), a ubiquitous immunosuppressive virus of chickens, was evaluated. Specific-pathogen-free white Plymouth Rock chickens were exposed to variant E IBDV at 1 day of age and were subsequently vaccinated with an inactivated H7 AIV vaccine 2 wk later. Vaccinated chickens exposed to IBDV had a geometric mean antibody titer to AIV of 1:1.7 by hemagglutination inhibition assay compared to a geometric mean titer of 1:47.5 from chickens that were vaccinated but not exposed to IBDV. Three weeks postvaccination, the chickens were challenged with one of six different doses of highly pathogenic (HP) AIV homologous to the vaccine. Within challenge virus dose groups, vaccinated chickens exposed to IBDV had similar mortality rates to nonvaccinated chickens that were not exposed to IBDV. In contrast, vaccinated chickens that were not exposed to IBDV were protected from mortality. Exposure to IBDV also decreased the mean death time (2.3-3.7 days depending on dose) compared with vaccinated birds not exposed to IBDV (4-7 days depending on dose). Neither vaccination nor IBDV infection had an effect on mean bird infection dose with HPAIV, but the 50% bird lethal dose was reduced from >10⁶ 50% egg infective dose (EID₅₀) in the vaccinated, IBDV-nonexposed group to 10^3.3 EID₅₀ in the vaccinated group exposed to IBDV. These results are consistent with IBDV exposure contributing to poor vaccine efficacy in the field.

Identification of avian influenza virus subtype H9N2 in chicken farms in Indonesia

Avian influenza virus subtype H9N2 (AIV-H9N2) has become established in domestic poultry in Asia and Africa. AIV-H9N2 has not been reported previously in Indonesia. Here we describe the presence of AIV-H9N2 in chicken farms in Indonesia. Ninety-nine cases were observed in various provinces in Indonesia. Clinical signs, pathologic lesions and egg production were recorded. Confirmation was made using virus isolation, reverse transcriptase PCR (RT-PCR), and sequencing. To construct hemaglutinin (HA) phylogeny, the secondary data of Eurasian lineages were downloaded from GenBank. For neuraminidase, five sequences with the highest similarities with every sequence found in this study were downloaded. Phylogeny was inferred using Neighbor-Joining method in MEGA6 package. Forty-nine AIV-H9N2-positive cases were observed, of which 35 were tested positive for AIV-H9N2 only. The age of the infected chickens was 43.17 ± 16.56 weeks, and their egg production was 35.85 ± 17.80% lower than before outbreak. BLAST search revealed that the nucleotide sequence of the HA-encoding gene identified in this study shared 98% sequence identity with that of A/Muscovy duck/Vietnam/LBM719/2014(H9N2), while its neuraminidase-encoding gene sequences shared 94%, 98%, and 100% identities with three different influenza viruses. The phylogeny shows that the HA of AIV-H9N2 found in this study forms distinct cluster with some Vietnam and China's sequence data. The NA sequence data form three distinct clusters. We conclude that AIV-H9N2 is widespread in many provinces in Indonesia. To lessen economic losses to the poultry industry, flock biosecurity and vaccination against this virus subtype should be implemented rapidly. Thorough and rigid AIV surveillance is paramount to prevent further veterinary and public health consequences of the circulation of this virus in Indonesia.

"Everyone just ate good food": 'Good food' in Islamabad, Pakistan

In recent years, consumption of alternatively produced foods has increased in popularity in response to the deleterious effects of rapidly globalising and industrialised food systems. Concerns over food safety in relation to these changes may result from elevated levels of risk and changing perceptions associated with food production practices. This paper explores how the middle class residents of Islamabad, Pakistan, use the concept of 'good food' to reconnect themselves with nature, changing food systems, and traditional values. The paper also demonstrates how these ideas relate to those of organic, local, and traditional food consumption as currently used in more economically developed states in the Global North. Through research based on participant observation and semi-structured interviews, this paper illustrates that besides price and convenience, purity, freshness, association with specific places, and 'Pakistani-ness' were considered as the basis for making decisions about 'good food'. The results show that while individuals are aware of and have some access to imported organic and local food, they prefer using holistic and culturally informed concepts of 'good food' instead that reconnect them with food systems. I argue that through conceptualisations of 'good food', the urban middle class in Islamabad is reducing their disconnection and dis-embeddedness from nature, the food systems, and their social identities. The paper contributes to literature on food anxieties, reconnections in food geography, and 'good food' perceptions, with a focus on Pakistan.

Risk factors associated with highly pathogenic avian influenza subtype H5N8 outbreaks on broiler duck farms in South Korea

Highly Pathogenic Avian Influenza (HPAI) subtype H5N8 outbreaks occurred in poultry farms in South Korea in 2014 resulting in significant damage to the poultry industry. Between 2014 and 2016, the pandemic disease caused significant economic loss and social disruption. To evaluate the risk factors for HPAI infection in broiler duck farms, we conducted a retrospective case-control study on broiler duck farms. Forty-three farms with confirmed laboratories on premises were selected as the case group, and 43 HPAI-negative farms were designated as the control group. Control farms were matched based on farm location and were within a 3-km radius from the case premises. Spatial and environmental factors were characterized by site visit and plotted through a geographic information system (GIS). Univariable and multivariable logistic regression models were developed to assess possible risk factors associated with HPAI broiler duck farm infection. Four final variables were identified as risk factors in a final multivariable logistic model: "Farms with ≥7 flocks" (odds ratio [OR] = 6.99, 95% confidence interval [CI] 1.34-37.04), "Farm owner with ≥15 years of raising poultry career" (OR = 7.91, 95% CI 1.69-37.14), "Presence of any poultry farms located within 500 m of the farm" (OR = 6.30, 95% CI 1.08-36.93) and "Not using a faecal removal service" (OR = 27.78, 95% CI 3.89-198.80). This highlights that the HPAI H5N8 outbreaks in South Korea were associated with farm owner education, number of flocks and facilities and farm biosecurity. Awareness of these factors may help to reduce the spread of HPAI H5N8 across broiler duck farms in Korea during epidemics. Greater understanding of the risk factors for H5N8 may improve farm vulnerability to HPAI and other subtypes and help to establish policies to prevent re-occurrence. These findings are relevant to global prevention recommendations and intervention protocols.

Risk Factors for Avian Influenza H9 Infection of Chickens in Live Bird Retail Stalls of Lahore District, Pakistan 2009-2010

This study was conducted to identify risk factors associated with AIV infections in live bird retail stalls (LBRS) in Lahore District, Pakistan. A cross-sectional survey of LBRS was conducted from December 2009-February 2010 using two-stage cluster sampling based on probability proportional to size. A total of 280 oropharyngeal swab sample pools were collected from 1400 birds in 8 clusters and tested by qRT-PCR for the matrix (M) gene of type A influenza virus and HA gene subtypes H9, H5 and H7. Thirty-four (34) samples were positive for the M gene, of which 28 were also positive for H9. No sample was found positive for H5 or H7. Data for 36 potential risk factors, collected by questionnaire, were analyzed by survey-weighted logistic regression and prevalence odds ratios (OR) for associated risk factors were calculated. A final multivariable model identified three risk factors for H9 infection in LRBS, namely obtaining birds from mixed sources (OR 2.28, CI_95%: 1.4–3.7), keeping birds outside cages (OR 3.10, CI_95%: 1.4–7.0) and keeping chicken breeds other than broilers (OR 6.27, CI_95%: 1.7–23.2). Sourcing birds from dealers/wholesalers, keeping birds inside cages and avoiding mixing different breeds in cages could reduce the risk of H9 infections in LRBS.

Transcriptomic signatures of cellular and humoral immune responses in older adults after seasonal influenza vaccination identified by data-driven clustering

PBMC transcriptomes after influenza vaccination contain valuable information about factors affecting vaccine responses. However, distilling meaningful knowledge out of these complex datasets is often difficult and requires advanced data mining algorithms. We investigated the use of the data-driven Weighted Gene Correlation Network Analysis (WGCNA) gene clustering method to identify vaccine response-related genes in PBMC transcriptomic datasets collected from 138 healthy older adults (ages 50-74) before and after 2010-2011 seasonal trivalent influenza vaccination. WGCNA separated the 14,197 gene dataset into 15 gene clusters based on observed gene expression patterns across subjects. Eight clusters were strongly enriched for genes involved in specific immune cell types and processes, including B cells, T cells, monocytes, platelets, NK cells, cytotoxic T cells, and antiviral signaling. Examination of gene cluster membership identified signatures of cellular and humoral responses to seasonal influenza vaccination, as well as pre-existing cellular immunity. The results of this study illustrate the utility of this publically available analysis methodology and highlight genes previously associated with influenza vaccine responses (e.g., CAMK4, CD19), genes with functions not previously identified in vaccine responses (e.g., SPON2, MATK, CST7), and previously uncharacterized genes (e.g. CORO1C, C8orf83) likely related to influenza vaccine-induced immunity due to their expression patterns.

Investigating the epidemiology of EI epidemic spread in the Province of Khyber Pakhtunkhwa, Pakistan in 2015-16

EI in non-vaccinated population causes disruption and economic losses. To identify the risk factors associated with the EI epidemics in equids in Pakistan, a 1:1 matched case control study was conducted during 2015-2016. Including a total of 197 laboratory confirmed cases and negative controls, matched on the basis of geography, time of sampling, specie and age. A piloted questionnaire was used to collect data regarding risk factors associated with the occurrence of EI in face to face interviews. Conditional logistic regression was performed to analyze the data. A total of 16 out of 23 variables were found associated as risk factors in Univariable conditional logistic regression analysis. Multivariable conditional logistic-regression analysis was also performed. Monthly removal of manure doubles the risk of EI (EI) compared to its daily removal. Due to lack of vaccination; the spread of disease was favored by high equine density. Investigating the index-case it was recorded that infected cases were imported from Afghanistan. Most of these risk factors related to biosecurity and management were due to low awareness level regarding EI amongst the respondents. These findings are in line with the results of many other studies identifying similar risk factors for EI infection in various countries. Adopting protective practices, vaccination and controlling the risk factors identified in the present study could reduce the spread and future outbreaks of EI in Pakistan.

Differential gene expression in chicken primary B cells infected ex vivo with attenuated and very virulent strains of infectious bursal disease virus (IBDV)

Infectious bursal disease virus (IBDV) belongs to the family Birnaviridae and is economically important to the poultry industry worldwide. IBDV infects B cells in the bursa of Fabricius (BF), causing immunosuppression and morbidity in young chickens. In addition to strains that cause classical Gumboro disease, the so-called 'very virulent' (vv) strain, also in circulation, causes more severe disease and increased mortality. IBDV has traditionally been controlled through the use of live attenuated vaccines, with attenuation resulting from serial passage in non-lymphoid cells. However, the factors that contribute to the vv or attenuated phenotypes are poorly understood. In order to address this, we aimed to investigate host cell-IBDV interactions using a recently described chicken primary B-cell model, where chicken B cells are harvested from the BF and cultured ex vivo in the presence of chicken CD40L. We demonstrated that these cells could support the replication of IBDV when infected ex vivo in the laboratory. Furthermore, we evaluated the gene expression profiles of B cells infected with an attenuated strain (D78) and a very virulent strain (UK661) by microarray. We found that key genes involved in B-cell activation and signalling (TNFSF13B, CD72 and GRAP) were down-regulated following infection relative to mock, which we speculate could contribute to IBDV-mediated immunosuppression. Moreover, cells responded to infection by expressing antiviral type I IFNs and IFN-stimulated genes, but the induction was far less pronounced upon infection with UK661, which we speculate could contribute to its virulence.

Prospective study of avian influenza H9 infection in commercial poultry farms of Punjab Province and Islamabad Capital Territory, Pakistan

A prospective study was conducted from November 2013 to February 2014 to estimate the spatial clustering; cumulative incidence and risk factors associated with avian influenza (AI) subtype H9 infection on commercial poultry farms of Pakistan. A total of 400 farms were enrolled and followed during the study period. Among these, 109 farms submitted samples suspected for AI to the laboratory, and only 47 farms were confirmed positive by hemagglutinin inhibition (HI) test. Data was collected from these 109 farms about their demography, management, and biosecurity practices. The cumulative incidence of H9N2 was 11.75 % (95 % confidence interval (CI) 8.76–15.23). The highest number of cases (40.42 %) was reported in January. One most likely cluster (p = 0.009, radius = 4.61 km) occurred in the Kasur district. Multivariable logistic regression analyses showed that the presence of wild birds on the farms (odds ratio (OR) = 16.18; 95 % CI 3.94–66.45) was independently associated with H9N2 infection. Cleaning of cages before delivery on farm (OR = 0.16; 95 % CI = 0.06–0.47), presence of a footbath at the entrance of farm (OR = 0.24; 95 % CI 0.08–0.79), and changing of gloves (OR = 0.33; 95 % CI 0.11–0.99) were protective factors against H9N2 infection. Reducing the exposure to risk factors and adapting biosecurity measures may reduce the risk of AI H9N2 infection on commercial poultry farms in Pakistan.