Search Results - National Association of Counties

The epidemiology and spatial distribution of Taenia solium taeniosis and cysticercosis in Kenya: The case of Busia County by Zemedhun, Y.G., Egulae, T., Wubie, N.K., Akoko, James M., Fèvre, Eric M., Cook, Elizabeth A.J.

“…The cross-sectional study assessed risk behaviors associated with TSTC in Busia County. The TSTC reports and proportions of porcine cysticercosis and epilepsy (as a proxy indicator of neurocysticercosis) were aggregated at the county and sub-county levels and visualized using QGIS. …”
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Seroepidemiological survey of Q fever in livestock and humans in Bura, Tana River County, Kenya by Mwololo, D.K.

“…This study was therefore designed with the following objectives 1) To assess the knowledge, attitude and practices of the livestock owners in relation to Q fever and its control in Bura, Tana River County; 2) To estimate the seroprevalence of Q fever in livestock and humans in the study area; and 3) To determine the risk factors associated with the disease in livestock and humans. …”
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Multidecadal, county-level analysis of the effects of land use, Bt cotton, and weather on cotton pests in China by Zhang, Wei, Lu, Yanhui, Werf, Wopke van der, Huang, Jikun, Wu, Feng, Zhou, Ke, Deng, Xiangzheng, Jiang, Yuying, Wu, Kongming, Rosegrant, Mark W.

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Evidence of Histoplasma capsulatum seropositivity and exploration of risk factors for exposure in Busia county, western Kenya: Analysis of the PAZ dataset by Cornell, T.R., Thomas, Lian F., Cook, Elizabeth A.J., Pinchbeck, G., Bettridge, Judy M., Gordon, L., Kivali, Velma, Kiyong'a, Alice, Fèvre, Eric M., Scantlebury, C.E.

“…This study examined the human seroprevalence of anti-Histoplasma antibody and explored associations between seropositivity and demographic and environmental variables, in Busia county, western Kenya. …”
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Improved region-specific emission factors for enteric methane emissions from cattle in smallholder mixed crop: livestock systems of Nandi County, Kenya by Ndung’u, Phyllis, Butterbach-Bahl, Klaus, Merbold, Lutz, Goopy, John P., Bebe, B.O., Ondiek, J.O.

“…Because these EFs are based on data primarily from developed countries, there is a high degree of uncertainty associated with CH4 emission estimates from African livestock systems. …”
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Collection of cassava landraces and associated farmers' knowledge, genetic diversity and viral incidence assessment in western Kenya by Obare, I.J., Charimbu, M.K., Mafurah, J., Mutoni, C.K., Woyengo, V.W., Shah, T., Ferguson, Morag E.

“…Interestingly CMD causing viruses were found in all the counties but CBSD-associated viruses were not detected in Kakamega or Bungoma counties. …”
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National Agriculture Rural Inclusive Growth Project (NARIGP) Climate Risk Profiles Validation Workshop Presentation by Kinyua, Ivy Wambui

“…The assessment's objective is to provide information about the current climate and possible future climate scenarios, to identify climate-related vulnerabilities and risks for major agricultural value chains and specific groups of people involved in agriculture, to identify adaptation options that address climate risks and vulnerabilities, and to assess institutional capacity to deal with climate risks and vulnerabilities.These climate risk profiles are intended to inform county governments and stakeholders about the risks and opportunities associated with climate change for agriculture.…”
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Census report of pig artificial insemination service providers in Mukono, Wakiso, Mpigi and Masaka districts of Uganda by Businge, Martha, Ahumuza, Ronnie, Ouma, Emily A., Marshall, Karen

“…Only 27% of the technicians had some type of registration under Uganda National Artificial Insemination Technicians Association (UNAITA), AI training entities, local associations and local governments, although some registrations were not AI-related. …”
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The scale dependency of spatial crop species diversity and its relation to temporal diversity by Aramburu Merlos, Fernando, Hijmans, Robert J.

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Report on Media Training Workshop on Climate Smart Livestock Feed and Forage Innovations by Mekonnen, Kindu, Gebreyes, Million, Bezabih, Melkamu, Assefa, Getnet, Adie, Aberra, Seifu, Haimanot, Mesfin, Hailemariam

“…Africa RISING is a USAID funded program that operates in six African counties (Mali, Ghana, Tanzania, Malawi, Zambia and Ethiopia). …”
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Apropiación humana de la producción primaria en el Chaco Seco by Rueda, Carla V., Baldi, Germán, Veron, Santiago Ramón, Jobbagy Gampel, Esteban Gabriel

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Development of northern pike (Esox lucius) populations in the Baltic Sea, and potential effects of grey seal (Halichoerus grypus) predation by Svensson, Rebecka

“…For trends in seal abundance, I used data from the Swedish national grey seal survey. Grey seal diet was estimated from scats and stomach content collected during 2016-2020 from Uppsala County and Stockholm County, in the inner and central parts of the archipelago, i.e. the habitats where pike is most abundant. …”

Food security score for Kenya by Wakibi, Samwel, Gichuhi, Wanjiru, Kabira, Wanjiku Mukabi

“…Based on this FSS, food security varied significantly amongst various counties and agro ecological zones. Agro-ecological zone (p-value<0.001) and county (p-value<0.001) are significantly associated with food security. …”
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Enhanced surveillance for Rift Valley fever in livestock during El Niño rains and threat of RVF outbreak, Kenya, 2015-2016 by Oyas, H., Holmstrom, L., Kemunto, N.P., Muturi, M., Mwatondo, A., Osoro, E.M., Bitek, A., Bett, Bernard K., Githinji, J.W.K., Thumbi, Samuel M., Widdowson, M.A., Munyua, P.M., Njenga, M.K.

“…The surveillance collected data on RVF-associated syndromes in cattle, sheep, goats, and camels from >1100 farmers through 66 surveillance officers. …”
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Prevalence, antimicrobial resistance profile and comparison of selective plating media for the isolation of Salmonella in backyard chickens from Entre Rios, Argentina by Rodriguez, Francisco, Pascal, Diego C., Pulido, Diego, Osinalde, José Manuel, Caffer, María Inés, Bueno, Dante Javier

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The true costs of food production in Kenya and Viet Nam by Benfica, Rui, Hossain, Marup, Davis, Kristin E., Boukaka, Sedi Anne, Azzarri, Carlo

“…We find that for Kenya— considering the entire food system, including crops, livestock, fishing, and value addition sectors at the national level—external costs represent 35 percent of the output value. …”
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Agricultural production diversity, child dietary diversity and nutritional status in poor, rural Gansu Province of China by Liu, Xinghua, Liu, Chengfang, Chen, Kevin Z.

“…Smallholder farm households (n = 1067) and children (n = 1067) aged 3–16 years from two then nationally designated poverty counties in Gansu Province of China were interviewed in 2019. …”
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Dietary diversity among preschoolers: A cross-sectional study in poor, rural, and ethnic minority areas of Central South China by Bi, Jieying, Liu, Chengfang, Li, Shaoping, He, Zhenya, Chen, Kevin Z., Luo, Renfu, Wang, Zimeiyi, Yu, Yanying, Xu, Haiquan

“…The aim of this study was to document the dietary diversity status of preschool children in poor, rural, and ethnic minority areas of Central South China and examine its associated factors both at home and in preschools. A cross-sectional study including 1328 preschool children aged three or five years from two nationally designated poverty counties in Hunan Province was conducted. …”
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Dietary diversity and mental health in preschoolers in rural China by Li, Shaoping, Chen, Kevin Z., Liu, Chengfang, Bi, Jieying, He, Zhenya, Luo, Renfu, Yu, Yanying, Wang, Zimeiyi

“…Data were analysed using unadjusted and adjusted logistic regression models.Two nationally designated poverty counties in Hunan Province of China.Preschoolers (n1334) aged 3–5 years, preschools (n26).Of 950 preschoolers with data on both dietary diversity and mental health, 663 (70 %) were classified as having at least one kind of mental health problem. …”
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Nutrition, cognition, and social emotion among preschoolers in poor, rural areas of South Central China: Status and correlates by Chen, Kevin Z., Liu, Chengfang, Liu, Xinghua, Wang, Zimeiyi, Luo, Renfu, Li, Shaoping, Yu, Yanying, Alderman, Harold

“…A total of 1293 preschoolers living in two (then) nationally designated poverty counties in rural Hunan served as our study sample. …”
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