Case Study Of Cameroon Research Articles

Public Conceptions of Climate Change Impact as a Human Health Risk. A Case Study in Cameroon

This research looks at the public’s perception of climate change’s impact as a human health risk in Cameroon. With the use of an extensive survey, the research investigates Cameroonian demographic data, levels of education, and views about the perception of climate change as a human health risk. The descriptive data reveal that master’s students are significantly represented among the participants, and men predominate. According to the findings, most students are aware of climate change and its serious future effects, which include rising poverty, disease outbreaks, and extreme temperatures. According to the study’s findings, tackling the complex issues raised by climate change requires an entire population that is both engaged and aware. Institutions of higher learning are essential to this effort since they emphasize how curriculum should incorporate climate education in order to empower many more generations to come. In order to improve public awareness and encourage significant steps toward sustainability as well as health protection in the context of climate change, the research emphasizes cooperation between legislators, learners, and the general public. These parties may build a society that is both ecologically conscientious and even more adaptable by cooperating. People can make decisions that help lessen the consequences of climate change by increasing their knowledge and consciousness. By adopting a comprehensive strategy, we can guarantee an environmentally friendly future for future generations in addition to the present one.

Advancing Adherence and Compliance to Personal Protective Equipment Policies among Health Care Workers - Insights from a Groundbreaking Case Study in Cameroon

Personal protective equipment (P PE) rules must be respected and followed to the letter of healthcare professionals in Cameroon to avoid the transmission of infectious diseases. This research proposes solutions to the problems of non-adherence and noncompliance among healthcare workers in Cameroon towards PPE rules. Inadequate access to suitable PPE, discomfort when wearing PPE during poor quality, and a lack of training on correct PPE use are just a few of these obstacles amongst HCWs in Cameroon. Hospitals and healthcare facilities should prioritize offering thorough instruction on PPE use and pinpoint the need to adhere consistently to PPE rules to remove these obstacles. They should also ensure that all healthcare personnel have access to and a sufficient supply of the proper PPE. Through the organization of impromptu visits by surveillance teams to identify areas of support and training, there is a need for assistance from government bodies and public health groups in creating awareness of the security value of PPE use among healthcare professionals. There is a lack of PPE in health care settings in rural areas in Cameroon, thus a need for an adequate supply. Then can we put appropriate PPE policies and practices for HCWs in Cameroon, as they will keep to it. Healthcare professionals in Cameroon must comprehend that following PPE standards protects not just their selves from diseases but also their patients, coworkers, and communities. We are accountable for ensuring everyone's safety and wellbeing, and adhering to PPE regulations is an essential first step.

Impact of the climate change on the site suitability for solar farms: Case study of Cameroon

It is widely agreed that in the coming decade the Earth's climate will undergo significant changes, which will considerably affect the ecosystems and populations in various ways. In this study, the climate change impact on the suitability of the recommended sustainable locations for siting solar PV facilities in Cameroon is assessed based on the downscaled climate projections and the geographic information system integrated with a multi-criteria decision-making technique. Spatial tools are used to identify the potential locations by extracting the constraint areas. The analytical hierarchy process is applied to weigh the criteria (climate, orography and vegetation) and calculate a land suitability index (LSI) to evaluate potential sites. Based on the Coordinated Regional Downscaling Experiment, the change in LSI towards the end of century is assessed considering two climate change scenarios, one optimistic and the other pessimistic. Results show that 13.7% of the study area is suitable for installing utility-size PV power plants with the highly suitable areas located mainly in the Extreme-North region of Cameroon. Under the RCP2.6 and RCP8.5 climate change scenarios, a very slight change in LSI (−5% ≤ LSI ≤ 5%) is projected for most of the potential sites across the country.

Contribution of remote sensing and GIS to the location of dam sites for groundwater recharge and flood control: case study in Cameroon (Mandara Mountains)

Contribution of remote sensing and GIS to the location of dam sites for groundwater recharge and flood control: case study in Cameroon (Mandara Mountains)

Influence of safety culture on Chinese oversea hydropower project workers safety performance: a case study in Cameroon

Influence of safety culture on Chinese oversea hydropower project workers safety performance: a case study in Cameroon

Influence of safety culture on Chinese overseas hydropower project workers' safety performance: a case study in Cameroon

Influence of safety culture on Chinese overseas hydropower project workers' safety performance: a case study in Cameroon

Mathematical modelling and projection of Buruli ulcer transmission dynamics using classical and fractional derivatives: A case study of Cameroon

The goal of this work is to derive and study a new model which traduces the transmission dynamics of the Buruli ulcer (BU), in which we replace mass action incidences with standard incidences, consider latent period, and by using both integer and fractional derivatives. We first present reported data of Buruli in Cameroon between 01/01/2001 and 31/12/2014, and the statistical model that approximates real data as closely as possible, and thus make a forecasting in the next sixteen years. After that, we formulate a Susceptible humans-Exposed humans-Infectious humans-Recovered humans-Susceptible humans; Susceptible vectors-Infectious vectors (SEIRS-SI) type compartmental model of Buruli Ulcer using integer derivative. We compute the basic reproduction number denoted by R0 and prove the asymptotic stability of the Buruli-free equilibrium whenever R0<1. Then, for R0>1, we prove the existence of an unique endemic equilibrium point and its global stability using the general theory of Lyapunov. We perform parameter estimation to calibrate our model using real data from Cameroon, while sensitivity analysis is conducted to determine important parameters in the BU dynamics. From this model calibration, we obtain R0=2.0843 which is greater than one and implies that BU ulcer is endemic in the country. To determine whether if or not the BU admits one or multiple waves, we compute the strength number denoted by A0. We find that A0≈17>0 which means that Bu admits multiple epidemic waves. We then replace integer derivative with the Caputo fractional derivative. Asymptotic stability of equilibrium points are also performed for the fractional model. This follows by the proof of existence and the uniqueness of solutions of the fractional model. We then construct a numerical scheme based on the Adams–Bashforth–Moulton (ABM) Method. Theoretical results are validated from numerical simulations. These last also permits to evaluate the impact of varying fractional order α in the BU dynamics. This permits to conclude that for α<1, reported cases are closer to model prediction.

Greenhouse gas emissions along the value chain in palm oil producing systems: A case study of Cameroon

The agricultural sector is the second most emitting sector globally, contributing about 18% of total global greenhouse gas (GHG) emissions. Multipurpose high in-demand commodities like palm oil contribute significantly to these emissions. The Roundtable on Sustainable Palm Oil (RSPO) with an objective to make the palm oil sector sustainable, developed a new tool to quantify carbon emissions from palm oil mills. The PalmGHG tool has been used in Southeast Asia to measure carbon emissions from palm oil production and for palm oil certification. However, no studies have used the tool to evaluate GHG emissions from palm oil mills in sub-Saharan Africa, which contributes about 24% of global palm oil production and is home to one of the last remaining primary forests in the world. In this study, we quantify GHG emissions along the crude palm oil (CPO) life cycle in a growing palm oil producing region in Cameroon. We use the RSPO PalmGHG accounting tool, to identify sources of CO2 emissions and quantify them in tons of CO2 equivalent. Six mills across the South West and Center regions of Cameroon were sampled. We found that the sources of carbon emissions from our sampled mills in decreasing order of magnitude are land conversion (78%), palm oil mill effluent (21%), fertilizer use (0.9%), mill fuel combustion (0.1%) and grid electricity utilization (0.04%). The average GHG emissions per ton of crude palm oil produced were exceptionally high at 22.3 tCO2e compared to other palm oil producing regions in the world such as Indonesia with only 1.6 tCO2e/ton of CPO. In addition, we found that planting oil palm on previously logged land instead of primary forest conversion could prevent field emissions by up to about 89% and by up to about 69% for replanting old oil palm stands. Intensification measures like improving palm oil mill extraction rates and improving yields would drastically reduce emissions per ton of crude palm oil produced. Although land conversion associated with deforestation remains the major source of palm oil GHG emissions, farm and mill practices such as reduction in fertilizer use, biogas capture and use of clean energy could help reduce emissions in the long run.

Modeling and Quantitative Analysis in the Energy–Food–Water–Waste Nexus (EF2W): Case Study in Cameroon

In order to achieve the Sustainable Development Goals (SDGs), it is necessary to quantitatively examine the interactions in the EF2W nexus in more detail. The main objective of this work is to model and quantify the EF2W nexus. The approach and model (input–output model) used from the literature is applied to the case of Cameroon. This model has some advantages that make it special, namely the possibility of establishing quantitative relationships on a local, national, regional, or global scale. The results indicate that the method presented in this study is sufficiently relevant to achieve a quantitative framework for modeling the sixteen (16) relationships intertwining the EF2W. Moreover, the analyses carried out on the EF2W interactions for the three decades (1990–2020) show that the energy sector is strongly impacted by biomass, water, and petroleum products with very low impact of waste; the proportion of energy for electricity generation is, on average, 67.528%; the contribution of water (surface and groundwater, water use per ton of food) for agriculture is estimated to be 0.16%, on average, for 17.44 m3/t feed; the energy sector contributed during the three decades 0.42% for 0.88 toe/kt of energy produced. As for the waste (agricultural and animal waste), their use in the agricultural sector is, on average, 97.80%. These results have a significant impact on the energy mix in the management and distribution of production sources and its uses in the different sectors considered. A new optimal approach should be considered.

The Nexus between Poverty, Inequality and Growth: A Case Study of Cameroon and Kenya

Abstract We conduct an in-depth analysis of the nexus between inequality of opportunity and inclusive growth in Cameroon and Kenya employing cross-sectional data collected over two time periods in each country. Empirical results show that changes in education, health and labour market endowments have large effects on household economic well-being, as proxied by total expenditures per adult equivalent. Employing the regression-based decomposition, we find that effort-based variables are associated with greater Gini inequality compared with circumstance-based variables—more so for Cameroon than Kenya. Among the effort-based variables, education in Cameroon and health in Kenya, are the main correlates of income inequality. The factual and counterfactual distribution analyses undertaken demonstrate that equalisation of human capital endowments is strongly inequality-reducing and further promotes pro-poor growth. Meanwhile, elimination of circumstance disparities in Cameroon reduces Gini inequality, enhances pro-poorness of the growth process, promotes shared-prosperity in urban areas and reduces inequality between the tails of the distribution of well-being. In Kenya, elimination of circumstance-based disparities is pro-poor improving, shared prosperity enhancing, but Gini inequality augmenting. In contrast to the Cameroonian case, equalisation of circumstances increases inequality between the tails of the distribution of well-being. The mechanisms behind these findings are probably the country-specific redistributive policies.

The Subtle Marks of the Damage Caused by Colonization in Sub-Saharan Africa: Case Study of Cameroon

The aim of this study was to identify the consequences of colonization in the daily lives of African peoples in sub-Saharan Africa. For this, many actions have been carried out. From the 4,500 men interviewed, 3,010 would choose a light-skinned wife and 1,000 a dark-skinned wife; 490 are not influenced by skin complexion. From the 4,500 women interviewed, 2004 would choose a light-skinned man and 644 a dark-skinned man. 1852 are not influenced by skin complexion. From the 4500 women, 3800 would like to have a fair complexion and 500 a dark complexion; 200 are indifferent. From the 500 children interviewed, 379 liked fair complexion, against 121 for dark complexion. Many people worship the white man. We find the signs of this on a daily basis: The best places are always reserved for the white man on all occasions; the way peoples interprate a successful action or a purchasing power; The efforts made to speak like white men; The rejection of one’s language and one’s tribal name in favor of those imported; The pronounced taste for imported clothing products. Concerning the musical and choreographic preferences, we can classify the young peoples interviewed as follows: 50.2% strictly in favor of imported dances and music styles; 26.2% love both imported and Cameroonian music and dance styles; 23.5% in favor of strictly Cameroonian dances and music styles. In the same vein, we have for hairdressing: 28.33% for grafting; 21.89% for the use of wigs; 15.82% for Afro-style. The choirs which practice the folk style are always lowered in front of those which practice the baroque style. In view of this dark picture, we can notice in detail that there is a segment of the African population south of the Sahara, even if it is a minority, which lives its Africanness with pride. It therefore constitutes the hope for the rebirth of African culture.

Experimental thermophysical dependent mechanical analysis of earth bricks with Canarium schweinfurthii and Cocos nucifera bio-aggregates - A case study in Cameroon

In order to meet sustainable development goals, global policies are strongly oriented towards the recovery of local materials such as agricultural waste. In this context, a new biosourced compressed earth brick (CEB) has been produced with bio-shell aggregates of Cocos nucifera (CN) and Canarium schweinfurthii (CS), added in equal proportions for various mixtures. The main objective is to study, on one hand, the effect of CN and CS aggregates on the mechanical behaviour and the thermo-physical properties of the CEB. On the other hand, durability of CEB was investigated in terms of hydric stability, abrasion resistance and hygro-thermo-mechanical behaviour. Mixtures were prepared using earthen material and 0, 5, 10 and 15 wt% CNCS, with 8 wt% cement CEM II-B-LL 42.5, respectively. Wet and dry compressive strengths are evaluated versus compaction pressure (2.5, 5, 7 and 10 MPa). The increase of CNCS aggregate content induced a reduction of the compressive strength in both wet a\nd dry situations whatever the compaction pressure. The samples with 5 wt % CNCS and 8 wt % cement, however, offered performances close to reference samples without CNCS aggregates. The reverse trend was found for thermal conductivity: thermal conductivity of the bio-sourced CEB is below 1 W·m−2·K−1 which means good insulating performances. It is noted that the modified CEB have relatively low water absorption, which contribute to a good durability. Hygro- and thermo-mechanical tests showed however a quasi-linear decrease of compressive strength when the humidity of the environment increases but also when the temperature rises. At the end, to obtain more accurate properties by prediction, some machine learning models were used.

Micro Hydro Power Plant for Sustainable Energy in Rural Electrification: A Case Study in Cameroon

Micro Hydro Power Plant for Sustainable Energy in Rural Electrification: A Case Study in Cameroon

The PADRE merits of developing and implementing context-specific national action plans for health security in Central Africa: Case study of Cameroon.

The PADRE merits of developing and implementing context-specific national action plans for health security in Central Africa: Case study of Cameroon.

Comparing the prediction performance, uncertainty quantification and extrapolation potential of regression kriging and random forest while accounting for soil measurement errors

Geostatistics and machine learning have been extensively applied for modelling and predicting the spatial distribution of continuous soil variables. In addition to providing predictions, both techniques quantify the uncertainty associated with the predictions, although geostatistics is more developed in this respect. Despite the increased use of these techniques, most algorithms ignore that the soil measurements are not error-free. Recently, concern has also arisen about the extrapolation risk of these techniques, be it in geographic space, feature space, or both. In this paper, regression kriging (RK) and random forest (RF) were compared with respect to their ability to deliver accurate predictions and quantify prediction uncertainties, while accounting for measurement errors in the soil data. The sensitivity of results of both models to soil measurement errors was also evaluated, as well as their spatial extrapolation potential. This was done for a case study in Cameroon where soil pH, clay and organic carbon were mapped from measurements obtained using both conventional and proximal soil sensing methods. The results showed that both models produced comparable ranges and maps of predicted values for the soil properties of interest. Compared to RF, RK outperformed RF by presenting generally a higher Model Efficiency Coefficient (MEC), lower Root Mean Squared Error (RMSE) values and better extrapolation performance. The improvement in RMSE was about 10, 12 and 2 % while the improvement in MEC was on average 5, 22 and 1 % for pH, clay and SOC, respectively Overestimation of the local uncertainty observed for RK was larger than that of RF as shown by accuracy plots, indicating that prediction uncertainties were better quantified by the RF model. Better extrapolation performance was obtained with RK that derived better predictions than RF at unsampled locations as shown by cross-validation metrics and scatter plots, particularly when RK and RF were used for spatial extrapolation. The effects of incorporating measurement errors were not significant both for the predictions and for the prediction uncertainties due to the fact that most calibration data had the same measurement error variance. Model comparison should go beyond common validation metrics that only evaluate prediction accuracy but must also account for the ability to quantify prediction uncertainty at unsampled locations.

Technical-Economic-Institutional Diagram of a Micro-Hydroelectric Power Station in Electrified Areas: Case Study in the Lingang-Foto Site of Cameroon

Access to electricity, reliable energy supply, and environmental protection are key elements that support economic development around the world. In most of Sub-Saharan African countries, the production deficit is a key issue. In addition, the network is made of long distance power lines, leading to huge voltage drops and frequent power cuts in remote electrified areas. Most of these areas offer a wealth of micro hydro power potential. It hence happens that the development of such project in an environment not prepared should address many issues from the technical, the economic and the institutional point of view. The aim of this paper is to examine how we could contribute to the design and development of such a project while taking into account the related constraints. From the findings and the literature review, we have suggested for each core aspect how we might overcome some difficulties. Given the similarity of the network architecture in remote areas in Africa, we have focused on one 148 kW case study in Cameroon to illustrate the implementation of the results. We got a 6.5$cents/kWh cost-effective project from an initial investment of 480 509USD with the need to use robust and simple equipment and the need to adjust the regulations. Since power cut is harmful and a hence issue for a grid connected plant, we have also designed an architecture to address this issue of load shedding from the grid.

Correction to: The Nexus between Poverty, Inequality and Growth: A Case Study of Cameroon and Kenya

Correction to: The Nexus between Poverty, Inequality and Growth: A Case Study of Cameroon and Kenya

A Case Study of an Optimal Detailed Analysis of a Standalone Photovoltaic/Battery System for Electricity Supply in Rural and Remote Areas

This paper focused on a techno-economic study of a standalone PV/battery system for electrical energy supply. For a particular case study in Cameroon, the system is optimally designed thanks to a double-objective firefly optimization algorithm, based on a defined operational strategy. The two objective functions simulated simultaneously using FA are: the cost of energy (COE) function and the function defining the loss of power supply probability (LPSP). Different optimal configurations of the system have been obtained on the Pareto front with respect to their LPSP. For a total load demand of 20196.7 kWh, the lowest cost configuration with LPSP of 0% is composed by a number of 63 modules and a battery capacity of 370.295 kWh. The related COE is 0.2587 $/kWh, corresponding to a total net present cost of 87422 $. However with this configuration, the energy of batteries could not be able solely to respond to the energy demand for 3 continuous days. In that case, the increase of the PV power production (by increasing the number of PV modules) could allow to the batteries to fulfil this deficiency. But this solution increases the investment cost to up to 11.17%, considering a system with 80 PV modules. Another solution consists in reducing the size of the battery bank to avoid its unnecessary oversizing. In this case, the COE and the system investment cost reduce to up to 28.77% for 1 day batteries’ autonomy considered. The obtained results have demonstrated that the cost of a PV/battery system is mostly influenced by the batteries’ size, while the system reliability is mostly related to the PV size.

A Framework of Entrepreneurial Competencies: A Case Study of Cameroon

Successful entrepreneurial venture heavily depends on exogenous and endogenous factors that cannot be ignored. However, a lack of knowledge and understanding of endogenous factors such as entrepreneurial competencies has led to the failure of many ventures. Thus entrepreneurial competencies must be taken into consideration in planning a venture. By using the competency approach, this study identified the entrepreneurial competencies needed for a successful venture through interviews, observations, and documents. This case study utilized Merriam’s data analysis process to identify the required entrepreneurial competencies for successful ventures. Fourteen successful entrepreneurs served as participants and were selected through purposive and snowball sampling. This study was conducted in Younde andDouala, Cameroon. The findings revealed seven entrepreneurial competencies: opportunity-seeking competency, learning competency, relationship competency, managerial competency, market –competition competency, and technical competency, concluding that entrepreneurial competencies are vital for a successful venture.

Incidence of Post-Operative Complications and Factors Influencing Their Occurrence in Patients with Sickle Cell Disease in a Low-Income Country: A Case Study of Cameroon.

This study aimed to analyse post-operative complications and possible factors influencing their occurrence in the management of patients with sickle cell disease in a low-income country. We prospectively collected data regarding the management of patients with sickle cell disease requiring anesthesia for surgery in 11 Cameroonian hospitals from 1 May 2019 to 30 April 2021. The data were analysed using descriptive statistics and a binary logistic regression was used to determine the dependence between the variables. A total of 124 patients with sickle cell disease were enrolled; 64 were male and 60 female, giving a sex ratio of 0.93. The rate of post-operative complications was 23.4% (29/124) and the death rate was 3.2% (4/124). The female subjects had more complications than the male subjects p < 0.05. The number of vaso-occlusive crises experienced per year showed a significant impact on the occurrence of post-operative complications p < 0.05. Laparoscopic surgery had fewer post-operative complications 5/46 (10.9%) than laparotomy 14/43 (32.5%). The surgical technique for the abdominal procedures had a significant impact on the occurrence of post-operative complications p < 0.05. The type of surgery (p = 0.198) and the anaesthesia technique (p = 0.225) did not show a significant impact on the occurrence of post-operative complications. Particular attention should be paid to female patients with sickle cell disease as they are more likely to experience post-operative complications, as well as to the frequency of vaso-occlusive crises, which are also predictive of post-operative complications. Opting for laparoscopic surgery whenever possible would help to reduce post-operative complications.