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

PLoS ONE ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. e0223550 ◽  
Author(s):  
Tulsi Ram Gompo ◽  
Bikas Raj Shah ◽  
Surendra Karki ◽  
Pragya Koirala ◽  
Manju Maharjan ◽  
...  
2019 ◽  
Author(s):  
Tulsi Ram Gompo ◽  
Bikash Raj Shah ◽  
Surendra Karki ◽  
Pragya Koirala ◽  
Manju Maharjan ◽  
...  

AbstractPoultry sector contributes to four percent in 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 both public health threat and an economic issue. Since last three years, outbreaks of AI subtype H9 has 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 in Kathmandu Valley to understand the risk factors associated with AI subtype H9 outbreaks. Out of 100 farms selected, 50 were “case” farms, confirmed positive to H9 at Central Veterinary Laboratory, Kathmandu, and other 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 semi-structured questionnaire. Nineteen potential risk factors were included in the questionnaire under the broad categories: birds and farm characteristics, management aspects and biosecurity status of the farms. Univariable and multivariable logistic regression analysis were conducted to calculate corresponding odds ratios. Identified risk factors associated with AI subtype H9 outbreaks in Kathmandu valley were: “Birds of age 31-40 days” (OR= 11.31, 95% CI: 1.31-98.02, p=0.028), “Older farms operating for >5 years” (OR= 10.9, 95% CI: 1.76-66.93, p=0.01), “Commercial layers farms” (OR=36.0, 95% CI: 0.97-1332.40, p=0.052), “Used stream water to water birds (OR= 5.7, 95% CI: 1.10-30.13, p=0.039)”, “Farms without practice of fumigation after each batch of poultry (OR= 4, 95% CI: 1.44-13.13, p=0.009)., “Farm with previous history of AI (OR= 13.8, 95% CI: 1.34-143.63, p = 0.028), “Did not applied farm boots (OR= 2.58, 95% CI: 0.98-6.80, p= 0.055), “Visitors allowed to enter the farms (OR= 2.5, 95% CI: 1.011-6.17, p = 0.047) and “No foot bath at entry of farms (OR= 3.3, 95% CI: 1.29-8.38, p = 0.013). This study depicts that outbreaks of AI subtype H9 in Kathmandu valley was related to poor management practices and biosecurity in the poultry farms. We suggest improving management practices and increase biosecurity in the farms to reduce incidences of AI subtype H9 outbreaks in Kathmandu valley.


PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0119019 ◽  
Author(s):  
Mamoona Chaudhry ◽  
Hamad B. Rashid ◽  
Michael Thrusfield ◽  
Sue Welburn ◽  
Barend MdeC. Bronsvoort

2014 ◽  
Vol 117 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Youming Wang ◽  
Peng Li ◽  
Yangli Wu ◽  
Xiangdong Sun ◽  
Kangzhen Yu ◽  
...  

2009 ◽  
Vol 199 (12) ◽  
pp. 1744-1752 ◽  
Author(s):  
Sirenda Vong ◽  
Sowath Ly ◽  
Maria D. Van Kerkhove ◽  
Jenna Achenbach ◽  
Davun Holl ◽  
...  

2019 ◽  
Vol 71 (1) ◽  
pp. 128-132 ◽  
Author(s):  
Shufa Zheng ◽  
Qianda Zou ◽  
Xiaochen Wang ◽  
Jiaqi Bao ◽  
Fei Yu ◽  
...  

Abstract Background The high case fatality rate of influenza A(H7N9)-infected patients has been a major clinical concern. Methods To identify the common causes of death due to H7N9 as well as identify risk factors associated with the high inpatient mortality, we retrospectively collected clinical treatment information from 350 hospitalized human cases of H7N9 virus in mainland China during 2013–2017, of which 109 (31.1%) had died, and systematically analyzed the patients’ clinical characteristics and risk factors for death. Results The median age at time of infection was 57 years, whereas the median age at time of death was 61 years, significantly older than those who survived. In contrast to previous studies, we found nosocomial infections comprising Acinetobacter baumannii and Klebsiella most commonly associated with secondary bacterial infections, which was likely due to the high utilization of supportive therapies, including mechanical ventilation (52.6%), extracorporeal membrane oxygenation (14%), continuous renal replacement therapy (19.1%), and artificial liver therapy (9.7%). Age, time from illness onset to antiviral therapy initiation, and secondary bacterial infection were independent risk factors for death. Age >65 years, secondary bacterial infections, and initiation of neuraminidase-inhibitor therapy after 5 days from symptom onset were associated with increased risk of death. Conclusions Death among H7N9 virus–infected patients occurred rapidly after hospital admission, especially among older patients, followed by severe hypoxemia and multisystem organ failure. Our results show that early neuraminidase-inhibitor therapy and reduction of secondary bacterial infections can help reduce mortality. Characterization of 350 hospitalized avian influenza A(H7N9)-infected patients in China shows that age >65 years, secondary bacterial infections, and initiation of neuraminidase-inhibitor therapy after 5 days from symptom onset were associated with increased risk of death.


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