Prevalence of helminth parasites of dogs and owners awareness about zoonotic parasites in Ambo town, central Ethiopia

To determine the prevalence of gastrointestinal helminth infections of dogs in Ambo, Ethiopia, examination of 70 fecal samples and 52 necropsies were conducted from November 2007 to April 2008. The prevalence of gastrointestinal helminths was 86.54% and 52.86% as detected by post mortem and coproscopical examination, respectively. The coproscopical examination revealed 35.7% infection with Ancylostoma caninum followed by Dipylidium caninum (25.57%), Toxocara canis (17.14%), Strogyloides stercoralis (14.29%) and Echinococcus granulosus (8.57%). Mixed infections with two or more parasites were also observed (62.16%). The study also indicates a significant difference (

Bovine Hydatidosis in Ambo Municipality Abattoir, West Shoa, Ethiopia

A cross-sectional study on bovine hydatidosis was conducted in Ambo municipality abattoir from November 2007 to March 2008 with the aim of investigating the prevalence, intensity, fertility and economic losses in cattle slaughtered for human consumption. Stray dogs killed with strychnine baited meat piece were also examined for the presence of adult Echinococcus granulosus. Out of the total 384 cattle examined 114 (29.69%) were found infected with hydatidosis. From the examined animals 61 (15.89%), 19 (4.95%) and 26 (6.77.3%) contained hydatid cyst in their lungs, livers, and in both lung and liver, respectively. Age related infection was significant in that older animals were more infected (

Study on the prevalence of ectoparasite infestation of ruminanats in and around Kombolcha and damage to fresh goat pelts and wet blue (pickled) skin at Kombolch Tannary, Northestern Ethiopia

An attempt was made to study the prevalence of ectoparasite damage on live cattle, sheep and goats in and around Kombolcha town and on raw goat skin to assess their skin defect on processed wet-blue (pickled) skins at Kombolcha tannery, south wollo zone, North-Eastern Ethiopia. A total of 240 cattle, 175 sheep, 66 goats, were used to study the prevalence of ectoprasites on live animals as well as 344 fresh goat pelts and pickled (wet-blue) goat skins were used to assess skin defects. The result obtained from live cattle demonstrated a high prevalence of Amblyomma (28.33%) followed by Sarcoptes scabiei (23.75%), Boophilus (11.25%) Demodex (9.58%), Psoroptes (0.4 %), respevtively. The prevalence of ectoprasite infestation of live sheep revealed Mellophagus ovinus (sheep ked) (32.57%), Bovicola ovis (22.28%), Amblyomma spp (12.57%), Sarcoptes scabiei (14.28 %), Ctenocephaliedes spp (8.57%), Demodex (6.85%), Linognathus africanus (6.28%) and Boophilus spp (4%). The result from goats demonstrates a high prevalence of Sarcoptes scabiei (30.3%) followed by Linognathus stenopsis (9.09%), Amblyomma (4.54%), Ctenocephalides spp (3.03%), Bovicola caprea (1.51%) and Demodex (1.51%) in that order. Result obtained from fresh goats pelts revealed an over all high prevalence of Sacoptes scabie (53.29%) followed by Linognathus stenopsis (9.88%), Bovicola caprae (2.08%) and Demodex (2.08%). Examination of pickled (wet-blue) skins from follow-up skins show a high prevalence of scratch (74.25%) followed by “Ekek” (68.56%), scar (67.06%), processing defect (28.44%). “Ekek” (Typical scatter type cockle) was found to show a significant (

Функціональні зв'язки між ефектами води Нафтуся на канальцеву секреторно-транспортну та імунну системи щурів. Повідомлення 2: Канальцева секреція і параметри спленоцитограми та гемолімфоаденоцитограми

В рамках концепции об общности механизмов функционирования канальцевой секреторно-транспортной и фагоцитарно-лимфоидной систем выявлены существенные связи между скоростью почечной канальцевой секреции и параметрами фагоцитоза, лейкоцитограммы крови, стеноцитогаммы и гемолимфоаденоцитограммы крыс в условиях курсового напаивания их водой Нафтуся per se и в сочетании с цитостатиком или анаболиком.It is shown that increase of canalicular secretion in rats becaused by drinking of water Naftussya accompanied increase massa of haemolymphatic node and contents in its of endothelio-, reticulo-, lymphocytes, eosinophyles and macrophages, blood level lymphocytes, monocytes and segmental nucleare neutrophyles but decrease activity and completion of phagocytose of neutrophyles and level of lymphoblastes in splenocytogramme. The using of cytostatic drug abolishes but anabolic drug potentiates both activating and inhibiting influence of water Naftussya

Design and Analysis of Anomaly Detection and Mitigation Schemes for Distributed Denial of Service Attacks in Software Defined Network. An Investigation into the Security Vulnerabilities of Software Defined Network and the Design of Efficient Detection and Mitigation Techniques for DDoS Attack using Machine Learning Techniques

Software Defined Networks (SDN) has created great potential and hope to overcome the need for secure, reliable and well managed next generation networks to drive effective service delivery on the go and meet the demand for high data rate and seamless connectivity expected by users. Thus, it is a network technology that is set to enhance our day-to-day activities. As network usage and reliance on computer technology are increasing and popular, users with bad intentions exploit the inherent weakness of this technology to render targeted services unavailable to legitimate users. Among the security weaknesses of SDN is Distributed Denial of Service (DDoS) attacks. Even though DDoS attack strategy is known, the number of successful DDoS attacks launched has seen an increment at an alarming rate over the last decade. Existing detection mechanisms depend on signatures of known attacks which has not been successful in detecting unknown or different shades of DDoS attacks. Therefore, a novel detection mechanism that relies on deviation from confidence interval obtained from the normal distribution of throughput polled without attack from the server. Furthermore, sensitivity analysis to determine which of the network metrics (jitter, throughput and response time) is more sensitive to attack by introducing white Gaussian noise and evaluating the local sensitivity using feed-forward artificial neural network is evaluated. All metrics are sensitive in detecting DDoS attacks. However, jitter appears to be the most sensitive to attack. As a result, the developed framework provides an avenue to make the SDN technology more robust and secure to DDoS attacks

Health system modelling research : towards a whole-health-system perspective for identifying good value for money investments in health system strengthening

Global health research has typically focused on single diseases, and most economic evaluation research to date has analysed technical health interventions to identify 'best buys'. New approaches in the conduct of economic evaluations are needed to help policymakers in choosing what may be good value (ie, greater health, distribution of health, or financial risk protection) for money (ie, per budget expenditure) investments for health system strengthening (HSS) that tend to be programmatic. We posit that these economic evaluations of HSS interventions will require developing new analytic models of health systems which recognise the dynamic connections between the different components of the health system, characterise the type and interlinks of the system's delivery platforms; and acknowledge the multiple constraints both within and outside the health sector which limit the system's capacity to efficiently attain its objectives. We describe priority health system modelling research areas to conduct economic evaluation of HSS interventions and ultimately identify good value for money investments in HSS

Track E Implementation Science, Health Systems and Economics

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138412/1/jia218443.pd