Evaluation of Urbanization Influences on Urban Winds of Kenyan Cities

Most cities in Africa’s developing countries are evidently growing leading to significant modification on climate over the cities that affect human comfort and his environment. Proper urban atmospheric planning and management are thus key to making cities environmentally sustainable. To achieve all these, urban weather and climate needs continuous monitoring to offer accurate, reliable and timely update of any significant changes. This study examined the modification of wind speed and direction by urbanization process. There is need to understand the modification of wind since the wind spped and direction greatly affects dispersion of pollutants in the city and distribution of heat which affect human comfort. The study utilized land surface albedo, decadal population data and daily wind speeds and direction. The wind was analyzed using wind rose plot and the population and albedo analyzed by carrying out trend analysis. The urbanization is evidenced by the reducing urban land surface reflectivity and the increasing population. Wind direction does not show modification by urbanization, however, its magnitude has exhibited a reduction with time. The reduction in wind speed is harmful to human and animal comfort and the environment at large. Practical approaches such as proper planning of the cities to minimize further modification by urbanization have been made. The choice of residential and industrial places is also emphasized with regard to these findings. The findings of this work are thus important for multi-sectoral use in the urban centres in Kenya.Key Words: Urbanization, Comfort, Pollution, Modification, Albedo, Urban Heat Islan

Development of A Water Quality Status and Trend Detection Tool*

Water Quality Index (WQI) models have been developed since the early 1970s. They present a means by which water quality status and trends can be compared across time and space on the basis of a composite value computed using existing water quality data. There is a need for a tool that can bring the different water quality parameters together and calculate the WQIs so as to facilitate data use in predictive modeling and water quality management. We are developing a software tool that can be used by water quality managers and others with different technical backgrounds to calculate WQI of the water source in order to determine water quality status and predict potentially harmful conditions. In this paper, we describe the tool that we have developed and its effectiveness in calculating WQIs and presenting visual analysis of the data. The tool is developed using Python as the base language. Tributary data from 4 watersheds in the Western Lake Erie Basin from National Center for Water Quality Research (NCWQR) at Heidelberg University was fed into the software tool and results were obtained. In its preliminary state, the tool is able to read, process and analyze any amount of data from an Excel file when presented in the right format. Current outputs show interpretive water quality in the Western Lake Erie Basin, which has been bad (WQI \u3c 39) to medium (39 \u3c WQI \u3c 70) over the years, presented as time series charts with trend lines as well as tables. Future developments will include more in-depth predictive analysis as well as provisions for multiple file types and formats. In the future, we expect that the tool will be flexible enough that it can be adapted to other areas beyond the study region

Outcomes of HIV treatment from the private sector in low-income and middle-income countries: a systematic review protocol

Introduction: Private sector provision of HIV treatment is increasing in low-income and middle-income countries (LMIC). However, there is limited documentation of its outcomes. This protocol reports a proposed systematic review that will synthesise clinical outcomes of private sector HIV treatment in LMIC. Methods and analysis: This review will be conducted in accordance with the preferred reporting items for systematic review and meta-analyses protocols. Primary outcomes will include: (1) proportion of eligible patients initiating antiretroviral therapy (ART); (2) proportion of those on ART with 90% ART adherence (based on any measure reported); (3) proportion screened for non-communicable diseases (specifically cervical cancer, diabetes, hypertension and mental ill health); (iv) proportion screened for tuberculosis. A search of five electronic bibliographical databases (Embase, Medline, PsychINFO, Web of Science and CINAHL) and reference lists of included articles will be conducted to identify relevant articles reporting HIV clinical outcomes. Searches will be limited to LMIC. No age, publication date, study-design or language limits will be applied. Authors of relevant studies will be contacted for clarification. Two reviewers will independently screen citations and abstracts, identify full text articles for inclusion, extract data and appraise the quality and bias of included studies. Outcome data will be pooled to generate aggregative proportions of primary and secondary outcomes. Descriptive statistics and a narrative synthesis will be presented. Heterogeneity and sensitivity assessments will be conducted to aid interpretation of results. Ethics and dissemination: The results of this review will be disseminated through a peer-reviewed scientific manuscript and at international scientific conferences. Results will inform quality improvement strategies, replication of identified good practices, potential policy changes, and future research

Exploring The Nexus Between Crop Diversification and Household Welfare, in Borabu Sub-County, Kenya

Following the effects of climate change, there has been a resurgence of interest in promoting crop diversification as a climate-smart agricultural practice in Sub-Saharan Africa to improve food security, increase income, and reduce vulnerability to external shocks. This practice is considered an effective risk management strategy and consumption smoothing strategy in a context characterized by repeated exposure to shocks. Agricultural production in Kenya is mainly dependent on rain-fed cultivation, with maize as the principal staple food crop. However, staple crops face major challenges and therefore, a diversification from over-reliance on staples will be important as part of progress toward achieving food security. The Kenyan government has, for a long time, been promoting crop diversification to improve household welfare and minimize risks associated with heavy dependence on maize. A decline in maize yields associated with the emergence of new pests and diseases, such as maize lethal necrosis disease (MLND) in Borabu sub-county, emphasized the need for maize farmers to diversify away from maize production. Although this strategy is in use, there is no clear evidence of the impact it has on the livelihoods of vulnerable households. Thus, the study sought to find out the nexus between crop diversification and household welfare among small-scale farming households in Borabu sub-county. Multi-stage sampling procedure was used to select a representative sample size of 385 small-scale farmers. Primary data was collected using observations and interviews with the help of a semi-structured questionnaire. The data were analyzed using the STATA computer program. This paper adopted the Endogenous Switching Regression Model to determine the nexus between crop diversification and household welfare, with household welfare being proxied by household financial savings. The findings indicate that smallholder maize farmers who practiced crop diversification experienced an enhanced ability to save than a random individual would have experienced. Keywords: Crop diversification, household welfare, Maize Lethal Necrosis Disease, Endogenous Switching Regression Model. DOI: 10.7176/JBAH/13-8-07 Publication date:May 31st 202

Control of contagious bovine pleuropneumonia: knowledge, attitudes, perceptions and practices in Narok district of Kenya

CBPP is an important transboundary disease in sub-Saharan Africa whose control is urgent. Participatory data collection involving 52 focus group discussions in 37 village clusters and key informant interviews, a cross-sectional study involving 232 households and a post-vaccination follow up involving 203 households was carried out in 2006–2007 in Narok South district of Kenya. This was to investigate knowledge, attitudes, perceptions and practices (KAPP) associated with control of CBPP as well as the adverse post-vaccination reactions in animals in order to advice the control policy. The community perceived trans-boundary CBPP threat to their cattle. They had traditional disease coping mechanisms and were conversant with CBPP prevention and control with 49.8% (95%CI: 42.8–56.7%) giving priority to CBPP control. However, 12.9% (95%CI: 9.0–18.1%) of pastoralists had no knowledge of any prevention method and 10.0% (95%CI: 6.5–14.7%) would not know what to do or would do nothing in the event of an outbreak. Although 43.5% (95%CI: 37.1–50.2%) of pastoralists were treating CBPP cases with antimicrobials, 62.5% (95%CI: 52.1–71.7%) of them doubted the effectiveness of the treatments. Pastoralists perceived vaccination to be the solution to CBPP but vaccination was irregular due to unavailability of the vaccine. Vaccination was mainly to control outbreaks rather than preventive and exhibited adverse post-vaccination reactions among 70.4% (95%CI: 63.6–76.5%) of herds and 3.8% (95%CI: 3.5–4.2%) of animals. Consequently, nearly 25.2% (95%CI: 18.5–33.2%) of pastoralists may resist subsequent vaccinations against CBPP. Pastoralists preferred CBPP vaccination at certain times of the year and that it is combined with other vaccinations. In conclusion, pastoralists were not fully aware of the preventive measures and interventions and post-vaccination reactions may discourage subsequent CBPP vaccinations. Consequently there is need for monitoring and management of post vaccination reactions and awareness creation on CBPP prevention and interventions and their merits and demerits. CBPP vaccine was largely unavailable to the pastoralists and the preference of the pastoralists was for vaccination at specified times and vaccine combinations which makes it necessary to avail the vaccine in conformity with the pastoralists preferences. In addition, planning vaccinations should involve pastoralists and neighbouring countries. As the results cannot be generalized, further studies on CBPP control methods and their effectiveness are recommended

Comparative Study of Different Stochastic Weather Generators for Long-Term Climate Data Simulation

Climate is one of the single most important factors affecting watershed ecosystems and water resources. The effect of climate variability and change has been studied extensively in some places; in many places, however, assessments are hampered by limited availability of long-term continuous climate data. Weather generators provide a means of synthesizing long-term climate data that can then be used in natural resource assessments. Given their potential, there is the need to evaluate the performance of the generators; in this study, three commonly used weather generators—CLImate GENerator (CLIGEN), Long Ashton Research Station Weather Generator (LARS-WG), and Weather Generators (WeaGETS) were compared with regard to their ability to capture the essential statistical characteristics of observed data (distribution, occurrence of wet and dry spells, number of snow days, growing season temperatures, and growing degree days). The study was based on observed 1966–2015 weather station data from the Western Lake Erie Basin (WLEB), from which 50 different realizations were generated, each spanning 50 years. Both CLIGEN and LARS-WG performed fairly well with respect to representing the statistical characteristics of observed precipitation and minimum and maximum temperatures, although CLIGEN tended to overestimate values at the extremes. This generator also overestimated dry sequences by 18%–30% and snow-day counts by 12%–19% when considered over the entire WLEB. It (CLIGEN) was, however, well able to simulate parameters specific to crop growth such as growing degree days and had an added advantage over the other generators in that it simulates a larger number of weather variables. LARS-WG overestimated wet sequence counts across the basin by 15%–38%. In addition, the optimal growth period simulated by LARS-WG also exceeded that obtained from observed data by 16%–29% basin-wide. Preliminary results with WeaGETS indicated that additional evaluation is needed to better define its parameters. Results provided insights into the suitability of both CLIGEN and LARS-WG for use with water resource applications

Environment challenges in Africa: further dimensions to the trade, MNCs and energy debate

Purpose – The purpose of this paper is to examine the linkage between environmental challenges, multinational corporations (MNCs) activities, trade and energy in Africa; and further elaborate on the role of institutions, as an intervening variable. Design/methodology/approach – In this study, the authors extended the Environmental Kuznets Curve (EKC) model by including indicators of the presence of MNCs, trade and energy in the basic EKC model that has measures of environmental pollution (CO2), economic growth (gross domestic product per capita) and its squared value. The role of institutions was also considered and included as an inter-mediating variable. This model was tested on a sample of 27 African countries, for the period 1996-2010. The systems GMM was applied for the empirical analysis. This approach was aimed at circumventing the possibility of reverse causality and endogenous explanatory variables-such as institutions. Findings – Trade and MNCs’ activities may not have much contemporaneous impact on the environment. However, their lagged values have adverse and significant influence on the current values of environmental challenge. This implies that environmental policies regarding trade and MNCs require time response lag. Energy was significant only at contemporaneous value but not at its lagged value. Institutional development helps to suppress the negative excesses (like pollution) from the activities of trade, MNCs and energy, and consequently reduce environmental pollution. Originality/value – This paper included the role of institutions in the environmental pollution, trade, MNCs and energy debate. Empirical studies in this regard have inadvertently excluded this variable, but have, at best, included it as part of policy recommendations

Beyond the Environmental Kuznets Curve in Africa: Evidence from Panel Cointegration

The main objective of this study is to establish the applicability of the environmental Kuznets curve (EKC) hypothesis in explaining the relationship between environmental pollution and development in Africa. The EKC has been used to explain such relationships in a variety of contexts, yet rarely applied in Africa, despite it hosting both the poorest countries in the world, 60% of those with extreme environmental pollution vulnerability and having a distinct socio-economic and institutional profile that tests the validity of such a model. This paper describes an empirical model that applies the EKC hypothesis and its modifications to 50 African countries, using data from 1995–2010. The empirical analysis suggests that there is a long-term relationship between CO2 and particulate matter emissions with per capita income and other variables, including institutional factors and trade, leading to specific recommendations on future strategies for sustainable development in an African context

Fungal Infections among Diabetic Foot Ulcer- Patients Attending Diabetic Clinic in Kenyatta National Hospital, Kenya

Objective: To isolate and identify fungal pathogens associated with dermatophytoses in diabetic patients and identify the spectrum of yeasts colonising diabetic foot ulcers at Kenyatta National Hospital.Design: A cross sectional Laboratory based study.Setting: The Kenyatta National Hospital diabetic clinic.Subjects: Sixty one patients with diabetic foot ulcers from August to November 2009.Results: The five most occurring pathogens were Biopolaris hawaiiensis (5.5%), Trichophyton schoenleinii (3.7%), Aspergillus niger (3.0%), Trichophyton rubrum (3.0%), Fusarium oxysporum (3.0%). Other moulds accounted for less than 3.0%. One suspected case (0.6%) of Penicilium marneffei was isolated although it could not be ascertained due to its high containment requirement. Among the dermatophytes, the most occurring mould was Trichophyton schoenleinii (3.7%) while in non-dermatophyte was Biopolaris hawaiiensis (5.5%). Eight pathogenic yeasts were identified with C. parapsilosis (6.1 %) being the most common followed by C. famata (3.0%). Fungal infestation was highest in callus formation (78.6%).Conclusion: Fungal aetiological agents are significant cause of diabetic wound infection and may require antifungal intervention for successful management of diabetic foot ulcers

Best Management Practice Effects for Phosphorus Control on a Dairy Farm: The Cannonsville Reservoir Watershed, New York

Abstract. Best Management Practices (BMPs) have been implemented on a farm-by-farm basis within the Cannonsville Reservoir Watershed (CRW), as part of a New York City watershed-wide BMP implementation effort to reduce phosphorus total P). For dissolved P, integration of BMP tool efficiencies allowed individual The authors are solely responsible for the content of this technical presentation. The technical presentation does not necessarily reflect the official position of the American Society of Agricultural Engineers (ASAE), and its printing and distribution does not constitute an endorsement of views which may be expressed. Technical presentations are not subject to the formal peer review process by ASAE editorial committees; therefore, they are not to be presented as refereed publications. Citation of this work should state that it is from an ASAE meeting paper. EXAMPLE: Author's Last Name, Initials