Control Versus No Control: Options for Avian Influenza H5N1 in Nigeria

Fasina, Folorunso Oludayo; Meseko, Clement; Joannis, Tony M.; Shittu, Aminu; Ularamu, Hussaini; Egbuji, N.A.; Sulaiman, Lanre; Onyekonwu, N.O.

doi:10.1111/j.1863-2378.2007.01044.x

Cited by 23 publications

(22 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The virus had acquired six inner gene segments from one group, HA gene from another group and NA gene from a third group. This fact confirms that genetically different viruses can cocirculate at the same territory, as previously suggested (Fasina, 2007;Gaidet, 2007;Pittman, 2008).…”

Section: Resultssupporting

confidence: 73%

Impact Genetic Characterization of H5N1 Avian Influenza Virus Isolated from Dead Mute Swan (Cygnus Olor)

Andrey¹,

Korotetskiy²,

Aizhan³

et al. 2012

JVM

View full text Add to dashboard Cite

show abstract

Section: Resultssupporting

confidence: 73%

Impact Genetic Characterization of H5N1 Avian Influenza Virus Isolated from Dead Mute Swan (Cygnus Olor)

Andrey¹,

Korotetskiy²,

Aizhan³

et al. 2012

JVM

View full text Add to dashboard Cite

show abstract

“…Although vaccination against HPAI was advocated by some (Fasina et al, 2007) and strongly supported by international organizations such as the OIE (Roeder et al, 2006), the Nigerian government decided not to implement a vaccination strategy. Overall, HPAI resulted in the death and culling of approximately 1.3 million birds (Fasina et al, 2011),…”

Section: Introductionmentioning

confidence: 98%

Incidence of Highly Pathogenic Avian Influenza H5N1 in Nigeria, 2005-2008

Henning¹,

Bett

Okike

et al. 2012

Transboundary and Emerging Diseases

View full text Add to dashboard Cite

Outbreaks of highly pathogenic avian influenza (HPAI) H5N1 occurred in Nigeria between December 2005 and July 2008. We describe temporal and spatial characteristics of these outbreaks at State and Local Government Area (LGA) levels. A total of 25 of 37 States (67.6%; Exact 95% CI: 50.2-82.0%) and 81 of 774 LGAs (10.5%; Exact 95% CI: 8.4-12.8%) were affected by HPAI outbreaks over the period from 2005 to 2008. The incidence risk of HPAI outbreak occurrence at the State level was 5.6% (0.7-18.7%) for 2005, 50.0% (30.7-69.4%) for 2006, 54.5% (29.9-80.3%) for 2007 and 0% for 2008. Only very few LGAs experienced HPAI outbreaks within the affected States. The incidence risk of HPAI outbreak occurrence on a LGA level was 0.3% (0.0-0.9%) for 2005, 6.6% (4.9-8.6%) for 2006, 4.2% (2.9-6.0%) for 2007 and 0% for 2008. The mean period between farmers noticing HPAI outbreaks and reporting them to veterinary authorities, and between reporting HPAI outbreaks and the depopulation of infected premises, was for both 4.5 days; both periods also had medians of 1 day. We have estimated the spatially smoothed incidence risk for the whole outbreak period and identified the existence of a large corridor in the western part of Nigeria and a smaller corridor in south-eastern part, where the risk of HPAI occurrence was lower than in the rest of the country. The effect of HPAI control policies on the outbreaks patterns are discussed, as well as possible reasons why HPAI did not become endemic in Nigeria.

show abstract

“…These are influenced by temperature, humidity, virus strain, pH, dehydration, salinity and other microorganisms (Bauer et al, 2010;Scholtissek et al, 1985;Stallnecht et al, 1990;Shortridge et al, 1998;Lu et al, 2003b;Swayne and Halvorson, 2003;John and Rose, 2005;Fasina et., 2007).…”

Section: Tradingmentioning

confidence: 99%

Development of Disease‐specific, Context‐specific Surveillance Models: Avian Influenza (H5N1)‐Related Risks and Behaviours in African Countries

Fasina

Njage

Ali

et al. 2015

Zoonoses and Public Health

Self Cite

View full text Add to dashboard Cite

Summary Avian influenza virus (H5N1) is a rapidly disseminating infection that affects poultry and, potentially, humans. Because the avian virus has already adapted to several mammalian species, decreasing the rate of avian–mammalian contacts is critical to diminish the chances of a total adaptation of H5N1 to humans. To prevent the pandemic such adaptation could facilitate, a biology‐specific disease surveillance model is needed, which should also consider geographical and socio‐cultural factors. Here, we conceptualized a surveillance model meant to capture H5N1‐related biological and cultural aspects, which included food processing, trade and cooking‐related practices, as well as incentives (or disincentives) for desirable behaviours. This proof of concept was tested with data collected from 378 Egyptian and Nigerian sites (local [backyard] producers/live bird markets/village abattoirs/commercial abattoirs and veterinary agencies). Findings revealed numerous opportunities for pathogens to disseminate, as well as lack of incentives to adopt preventive measures, and factors that promoted epidemic dissemination. Supporting such observations, the estimated risk for H5N1‐related human mortality was higher than previously reported. The need for multidimensional disease surveillance models, which may detect risks at higher levels than models that only measure one factor or outcome, was supported. To develop efficient surveillance systems, interactions should be captured, which include but exceed biological factors. This low‐cost and easily implementable model, if conducted over time, may identify focal instances where tailored policies may diminish both endemicity and the total adaptation of H5N1 to the human species.

show abstract

Control Versus No Control: Options for Avian Influenza H5N1 in Nigeria

Cited by 23 publications

References 15 publications

Impact Genetic Characterization of H5N1 Avian Influenza Virus Isolated from Dead Mute Swan (Cygnus Olor)

Impact Genetic Characterization of H5N1 Avian Influenza Virus Isolated from Dead Mute Swan (Cygnus Olor)

Incidence of Highly Pathogenic Avian Influenza H5N1 in Nigeria, 2005-2008

Development of Disease‐specific, Context‐specific Surveillance Models: Avian Influenza (H5N1)‐Related Risks and Behaviours in African Countries

Contact Info

Product

Resources

About