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10.1016/j.prevetmed.2020.105197 http://scihub22266oqcxt.onion/10.1016/j.prevetmed.2020.105197 33186881!7605751!33186881     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Prev+Vet+Med 2020 ; 185 (ä): 105197 Nephropedia Template TP {{tp|p=33186881|t=2020. Risk factors for serological evidence of MERS-CoV in camels, Kenya, 2016-2017 |pdf=|usr=}}{{33186881}} gab.com Text Risk factors for serological evidence of MERS-CoV in camels, Kenya, 2016-2017 JO: Prev Vet Med http://www.kidney.de/pget.php?&tw=1&pmid=33186881 #FOAvip Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is an emerging viral disease and dromedary camels are known to be the source of human spill over events. A cross-sectional epidemiological surveillance study was carried out in Kenya in 2017 to, 1) estimate MERS-CoV antibody seropositivity in the camel-dense counties of Turkana, Marsabit, Isiolo, Laikipia and Nakuru to identify, and 2) determine the risk factors associated with seropositivity in camels. Blood samples were collected from a total of 1421 camels selected using a multi-stage sampling method. Data were also collected from camel owners or herders using a pre-tested structured questionnaire. The sera from camel samples were tested for the presence of circulating antibodies to MERS-CoV using the anti-MERS-CoV IgG ELISA test. Univariate and multivariable statistical analysis were used to investigate factors potentially associated with MERS-CoV seropositivity in camels. The overall seropositivity in camel sera was 62.9 %, with the highest seropositivity recorded in Isiolo County (77.7 %), and the lowest seropositivity recorded in Nakuru County (14.0 %). When risk factors for seropositivity were assessed, the "Type of camel production system" (aOR = 5.40(95 %CI: 1.67-17.49), "Age between 1-2 years, 2-3 years and above 3 years" (aOR = 1.64 (95 %CI: 1.04-2.59", (aOR = 3.27 (95 %CI: 3.66-5.61)" and (aOR = 6.12 (95 %CI: 4.04-9.30) respectively and "Sex of camels" (aOR = 1.75 (95 %CI: 1.27-2.41) were identified as significant predictors of MERS-CoV seropositivity. Our studies indicate a high level of seropositivity to MERS-CoV in camels in the counties surveyed, and highlights the important risk factors associated with MERS-CoV seropositivity in camels. Given that MERS-CoV is a zoonosis, and Kenya possesses the fourth largest camel population in Africa, these findings are important to inform the development of efficient and risk-based prevention and mitigation strategies against MERS-CoV transmission to humans. Twit Text FOAVip Risk factors for serological evidence of MERS-CoV in camels, Kenya, 2016-2017 ????Prev Vet Med http://www.kidney.de/pget.php?&tw=1&pmid=33186881 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33186881 #FOAvip English Wikipedia <ref>{{Cite pmid|33186881}}</ref> Risk factors for serological evidence of MERS-CoV in camels, Kenya, 2016-2017 #MMPMID33186881 Sitawa R; Folorunso F; Obonyo M; Apamaku M; Kiambi S; Gikonyo S; Kiptiness J; Njagi O; Githinji J; Ngoci J; VonDobschuetz S; Morzaria S; Ihab E; Gardner E; Wiersma L; Makonnen Y Prev Vet Med 2020[Dec]; 185 (ä): 105197 PMID33186881show ga Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is an emerging viral disease and dromedary camels are known to be the source of human spill over events. A cross-sectional epidemiological surveillance study was carried out in Kenya in 2017 to, 1) estimate MERS-CoV antibody seropositivity in the camel-dense counties of Turkana, Marsabit, Isiolo, Laikipia and Nakuru to identify, and 2) determine the risk factors associated with seropositivity in camels. Blood samples were collected from a total of 1421 camels selected using a multi-stage sampling method. Data were also collected from camel owners or herders using a pre-tested structured questionnaire. The sera from camel samples were tested for the presence of circulating antibodies to MERS-CoV using the anti-MERS-CoV IgG ELISA test. Univariate and multivariable statistical analysis were used to investigate factors potentially associated with MERS-CoV seropositivity in camels. The overall seropositivity in camel sera was 62.9 %, with the highest seropositivity recorded in Isiolo County (77.7 %), and the lowest seropositivity recorded in Nakuru County (14.0 %). When risk factors for seropositivity were assessed, the "Type of camel production system" (aOR = 5.40(95 %CI: 1.67-17.49), "Age between 1-2 years, 2-3 years and above 3 years" (aOR = 1.64 (95 %CI: 1.04-2.59", (aOR = 3.27 (95 %CI: 3.66-5.61)" and (aOR = 6.12 (95 %CI: 4.04-9.30) respectively and "Sex of camels" (aOR = 1.75 (95 %CI: 1.27-2.41) were identified as significant predictors of MERS-CoV seropositivity. Our studies indicate a high level of seropositivity to MERS-CoV in camels in the counties surveyed, and highlights the important risk factors associated with MERS-CoV seropositivity in camels. Given that MERS-CoV is a zoonosis, and Kenya possesses the fourth largest camel population in Africa, these findings are important to inform the development of efficient and risk-based prevention and mitigation strategies against MERS-CoV transmission to humans. |Animals[MESH] |Antibodies, Viral/blood[MESH] |Camelus/blood/immunology/*virology[MESH] |Coronavirus Infections/epidemiology/*veterinary/virology[MESH] |Cross-Sectional Studies[MESH] |Kenya/epidemiology[MESH] |Middle East Respiratory Syndrome Coronavirus/immunology/*isolation & purification[MESH] |Risk Factors[MESH]Risk factors for serological evidence of MERS-CoV in camels, Kenya, 20(epmc).pdf DeepDyve Pubget Overpricing