Kenya tourism marketing plan (2015/2018)

This marketing plan project is a culmination of extensive strategies with the use of experiential marketing to address issues confronting the Kenyan tourism industry in order to have a sustainable tourism sector. Following the terrorist attack carried out by Islamist militants’ belonging to al-Shabaab terrorist organization on Nairobi’s Westgate shopping mall in September 2013, tourist forecast has gone down sharply with an average of 20% fall in tourists’ arrivals which is likely to have an impact on the tourism sector in Kenya. Even before the deadly attack on Westgate, the most lethal attack by Islamist terrorists in 15 years in Kenya, the government through the Kenya tourist board had announced that in 2013 tourist arrivals were down by 12%, at 495,978, according to an October 2013 report by Bloomberg. Tourism revenues were also down by 7.4%, over FY12/13 (July-June) to reach KES96.24bn, according to a September 2013 report on the local Capital FM website. Beyond 2013, much will depend on how quickly the Kenya tourist board can regain control of the situation. The Kenyan government believes that the Westgate mall attack was a 'one-off' incident, with a low probability of a similar event happening again over the short term period. Germany, United States, United Kingdom, Australia, Italy, France and Canada continue to be the key source market however; the Kenya tourist board can make continued growth stronger from new emerging markets in order to increase new arrivals into the country. The marketing plan outlines the objectives to be implemented and provides the implementation strategy, activity plans, monitoring and evaluation plans, financial requirements projections and proposes a new structure of experiential marketing. A number of regional forces are identified that will impact tourism into the country including global, social and economic forces, emerging trends in visitor motivations and behavior, emerging forces in experiential marketing. A major component of the strategy identifies target markets for Kenya to commensurate with the level of resources that will be available for marketing and promotion, in keeping with the forces and trends identified and the nature of the Kenya tourism environment. The agreed upon target market segments are: generic/mass travel, experiential travel, creative travel, adventure seeking travel, senior/extended/long stay travel, and business related travel. The strategy phases the development of the target markets over the years of the marketing strategies in order to yield the best opportunity for results. A core activity in developing a marketing strategy is determining the nature of experiences Kenya offers in tourism. The strategy’s experience development process will continue to develop within the context of the products identified which will be promoted regionally: culture/heritage, nature, community-based. Each county in the country has a significant number of attractions and experiences and the challenge of the country is to bring these together in a creative and innovative way in order to encourage tourists to visit more than one county in Kenya

Use of knowledge based systems for the detection and monitoring of unplanned developments

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Time series analysis of consumption and short term forecasting of female contraceptives in the Kenyan public health sector

Background: Contraceptive security is crucial in ensuring access to family planning services and improving the contraceptive prevalence rate. This requires proper forecasting and procurement of contraceptives. It is therefore important to study consumption patterns and apply forecasting techniques so as to adjust for any changes in the choice of contraceptives over a given time period. Objectives: The objectives of this study were to analyze trends, identify any seasonal or cyclic patterns in consumption of contraceptives, compare service point and consumption data, forecast consumption for six months and determine optimal models for forecasting contraceptives. Methods: Data on consumption of implants, injectables, pills, and Intrauterine Contraceptive Devices (IUCDs) were extracted from the Kenya District Health Information System for the years 2014-2018. An exploratory analysis was done and the data decomposed to evaluate the trends and seasonal components. Service point and consumption data of contraceptives were compared. Short-term forecasting using the Autoregressive Integrated Moving Average (ARIMA) and the Exponential Smoothing (ES) models was done. The optimal model for forecasting was determined and the models validated using actual facility consumption data for 2018. Results: The consumption of pills, injectables, and IUCDs declined while that of implants increased significantly across the 4 years. There were differences in the data reported for consumption and service point data for injectables, implants, and IUCDs. The ES models recorded the least error when forecasting consumption of all contraceptives except for one-rod implants in which the ARIMA model had the least errors. Conclusion: There was a general shift towards the use of long-acting reversible methods especially implants in Kenya. The difference in the reporting of consumption and service point data for injectables, implant, and IUCDs showed gaps in the documentation and reporting of contraceptives. The ETS models were generally superior to the ARIMA models for predicting consumption of contraceptives. Keywords: Contraceptives, consumption, forecasting, time series, trend

Comparison and Prediction of the above Ground Carbon Storage in Croplands on the Inhabited Slopes on Mount Kilimanjaro (Tanzania) and the Taita Hills (Kenya)

Mount Kilimanjaro and the Taita Hills are adjacent montane areas that experience similar climate and agricultural activity, but which differ in their geologic history, nature of elevation gradients and cultures. We assessed differences in cropland above ground carbon (AGC) between the two sites and against environmental variables. One hectare sampling plots were randomly distributed along elevational gradients stratified by cropland type; AGC was derived from all trees with diameter ≥ 10 cm at breast height in each plot. Predictor variables were physical and edaphic variables and human population. A generalized linear model was used for predicting AGC with AIC used for ranking models. AGC was spatially upscaled in 2 km buffer and visually compared. Kilimanjaro has higher AGC in cropped and agroforestry areas than the Taita Hills, but only significant difference in AGC variation in agroforestry areas (F = 9.36, p = 0.03). AGC in cropped land and agroforestry in Kilimanjaro has significant difference on mean (t = 4.62, p = 0.001) and variation (F = 17.41, p = 0.007). In the Taita Hills, significant difference is observed only on the mean AGC (t = 4.86, p = 0.001). Common tree species that contribute the most to AGC in Kilimanjaro are Albizia gummifera and Persea americana, and in the Taita Hills Grevillea robusta and Mangifera indica . Significant and univariate predictors of AGC in Mount Kilimanjaro are pH (R2 = 0.80, p = 0.00) and EVI (R2 = 0.68, p = 0.00). On Mount Kilimanjaro, the top multivariate model contained SOC, CEC, pH and BLD (R2 = 0.90, p = 0.00), whereas in the Taita Hills, the top multivariate model contained elevation, slope and population (R2 = 0.89, p = 0.00). Despite of the difference in land management history of Mount Kilimanjaro and the Taita Hills, mean of AGC in croplands does not differ significantly. Difference occurs on variation of AGC, type of trees contributing AGC, and environmental variables that explain AGC distribution. The research results provide reference for management of carbon sequestration on inhabited montane areas.Peer reviewe

Testing the Potential Application of Simulated Multispectral Data in Discriminating Tree Species in Taita Hills

Peer reviewe

Herbal Product Processing Practices of Traditional Medicine Practitioners in Kenya- Key Informant Interviews

Introduction: Herbalists in Kenya use self-taught processing practices which are inadequate. The objective of this study was to conduct an assessment of selected practices used by herbalists during drug processing and to identify knowledge gaps. Method: Four long practicing traditional medicinal practitioners were identified using purposive sampling. An interview guide and field visits were used to gather data. Data analysis was done using content thematic approach. Results: Sources of herbal knowledge were varied with the use of internet being a key finding. Regulatory compliance presented various challenges to the herbalists. The wild and cultivation of herbs were identified as key medicinal sources although the protection of biodiversity was a key concern of the herbalists. The facilities, area of practice and general hygiene were inadequate. Positive and negative practices were identified in processing of the herbal medicines. Conclusions: Secrecy by the herbalists has resulted in limited in innovation. More training of herbalists is required to improve on the quality of their drugs.  It is however encouraging that they have adopted some modern methods in their practice. Keywords: Herbalists, processing practices, herbal drug

Management of Type 2 Diabetes Mellitus by Traditional Medicine Practitioners in Kenya- Key Informant Interviews

Introduction: Worldwide, plant based medicines are increasing in popularity due to perceptions of safety and efficacy. Herbalists in Kenya are widely consulted for the management of many diseases including Type 2 Diabetes Mellitus (T2DM). This study investigated the level of knowledge of the herbalists in management of T2DM. Methods: Purposive sampling was used to identify 4 herbalists working in the urban areas who actively manage T2DM. Key informant interviews were used to gather data about the management of T2DM. It was analyzed using a content thematic approach. Results: Diverse management methods which included both pharmacological and non- pharmacological were noted. Glycemic control was assessed with the help of a glucometer. In addition, presenting signs and symptoms were key in diagnosing T2DM. The herbalists used various herbs, minerals and animals as medicinal sources. The drugs were dispensed as decoctions with excipients being added appropriately. Adverse effects were recorded. The herbalists acknowledged that patients use both herbal and allopathic medicine together. A level of record keeping was observed but patient follow-up was poor. The cost of the herbal drugs was perceived to be excessive. Conclusion: Some similarities exist in the management of T2DM between allopathic and traditional medicine practitioners. Training of herbalists is required to improve the quality of care given to patients.Pan African Medical Journal 2015; 2

Validation of saline, PBS and a locally produced VTM at varying storage conditions to detect the SARS-CoV-2 virus by qRT-PCR

Coronavirus Disease-2019 tests require a Nasopharyngeal (NP) and/or Oropharyngeal (OP) specimen from the upper airway, from which virus RNA is extracted and detected through quantitative reverse transcription-Polymerase Chain Reaction (qRT-PCR). The viability of the virus is maintained after collection by storing the NP/OP swabs in Viral Transport Media (VTM). We evaluated the performance of four transport media: locally manufactured ("REVITAL") Viral Transport Media (RVTM), Standard Universal Transport Media (SUTM), PBS and 0.9% (w/v) NaCl (normal saline). We used laboratory cultured virus to evaluate: i) viral recovery and maintaining integrity at different time periods and temperatures; ii) stability in yielding detectable RNA consistently for all time points and conditions; and iii) their overall accuracy. Four vials of SARS-CoV-2 cultured virus (2 high and 2 low concentration samples) and 1 negative control sample were prepared for each media type (SUTM, RVTM, PBS and normal saline) and stored at the following temperatures, -80°C, 4°C, 25°C and 37°C for 7 days. Viral RNA extractions and qRT-PCR were performed at 1, 2, 3, 4 and 7 days after inoculation with the cultured virus to assess virus stability and viral recovery. Ct values fell over time at 25°C and 37°C, but normal saline, PBS, RVTM and SUTM all showed comparable performance in maintaining virus integrity and stability allowing for the detection of SARS-CoV-2 RNA. Overall, this study demonstrated that normal saline, PBS and the locally manufactured VTM can be used for COVID-19 sample collection and testing, thus expanding the range of SARS-CoV-2 viral collection media

Study protocol for promoting respectful maternity care initiative to assess, measure and design interventions to reduce disrespect and abuse during childbirth in Kenya

BACKGROUND: Increases in the proportion of facility-based deliveries have been marginal in many low-income countries in the African region. Preliminary clinical and anthropological evidence suggests that one major factor inhibiting pregnant women from delivering at facility is disrespectful and abusive treatment by health care providers in maternity units. Despite acknowledgement of this behavior by policy makers, program staff, civil society groups and community members, the problem appears to be widespread but prevalence is not well documented. Formative research will be undertaken to test the reliability and validity of a disrespect and abuse (D&A) construct and to then measure the prevalence of disrespect and abuse suffered by clinic clients and the general population. METHODS/DESIGN: A quasi-experimental design will be followed with surveys at twelve health facilities in four districts and one large maternity hospital in Nairobi and areas before and after the introduction of disrespect and abuse (D&A) interventions. The design is aimed to control for potential time dependent confounding on observed factors. DISCUSSION: This study seeks to conduct implementation research aimed at designing, testing, and evaluating an approach to significantly reduce disrespectful and abusive (D&A) care of women during labor and delivery in facilities. Specifically the proposed study aims to: (i) determine the manifestations, types and prevalence of D&A in childbirth (ii) develop and validate tools for assessing D&A (iii) identify and explore the potential drivers of D&A (iv) design, implement, monitor and evaluate the impact of one or more interventions to reduce D&A and (v) document and assess the dynamics of implementing interventions to reduce D&A and generate lessons for replication at scale