ali labriji | Hassan II Casablanca (original) (raw)

Papers by ali labriji

Research paper thumbnail of Assessing the life quality in a Moroccan population of diabetics by the General Quality of Life Questionnaire SF36

Background: The quality of life assessment reflects the impact of chronic diseases on patients. T... more Background: The quality of life assessment reflects the impact of chronic diseases on patients. The objective of our study is to assess the life quality of diabetic patients and to determine the factors that affect it.Methods: A cross-sectional study was conducted in 2019 in the Hygiene Service of the Sidi-Othmane district (Casablanca) in 526 diabetic patients. Quality of life was estimated using the SF-36 questionnaire to determine factors that affect mental or physical health. We used Pearson's correlation test for continuous variables and ANOVA for discontinuous variables.Results: Our patients have an average of life quality considering PCS and MCS respectively (38.47 ± 9.28; 41.15 ± 10.55). Association analyses showed on the one hand associations between the PCS and the gender (p = 0.0001), professional activity (p = 0.0001), marital status (p = 0.0001) and with chronic complications (p = 0.0001). On the other hand, between physical activity and PCS (p = 0.0001) and with MCS...

Research paper thumbnail of Impact of wind speed on optimal fishing effort

Research paper thumbnail of M-SVR Model for a Serious Game Evaluation Tool

International Journal of Advanced Computer Science and Applications, 2021

Today, due to their interactive, participatory and entertaining nature, the Serious Games set the... more Today, due to their interactive, participatory and entertaining nature, the Serious Games set themselves apart from other learning methods used in teaching. Much progress has been made in the design techniques and methods of Serious Games, but little in their evaluation. In order to fill this gap, we had proposed in our previous work an evaluation tool capable of helping practitioners to evaluate Serious Games in different training contexts. This evaluation tool for Serious Games is designed around four dimensions, namely the pedagogical, technological, ludic and behavioral dimensions, which are measured by clearly defined criteria. During this process, it was highlighted that the human factor (evaluator) influences considerably the result of the weightings through the choice to weight the evaluation dimensions of the Serious Games. In order to reduce this influence during the evaluation process and to keep the correlation between the variables of our evaluation system, we present in this paper, an improvement of our evaluation tool by equipping it with an intelligent supervised self-learning algorithm allowing self-regulation of the weights according to the context of use of the Serious Game to be evaluated. Thanks to the experimental verification of the optimization results, the root mean square error and the coefficient of determination are 0.016 and 98.59 percent respectively, indicating that the model has high precision which guaranteed better predictive performance. A comparison was made between this intelligent model and the models presented in our previous work; the results obtained indicated the same order of the four dimensions, and this by reducing the influence of the human factor during the Multi-Output Support Vector Regression weighting process.

Research paper thumbnail of Estimation of the Conditional Probability Using a Stochastic Gradient Process

Journal of Mathematics, 2021

The use of conditional probabilities has gained in popularity in various fields such as medicine,... more The use of conditional probabilities has gained in popularity in various fields such as medicine, finance, and imaging processing. This has occurred especially with the availability of large datasets that allow us to extract the full potential of the available estimation algorithms. Nevertheless, such a large volume of data is often accompanied by a significant need for computational capacity as well as a consequent compilation time. In this article, we propose a low-cost estimation method: we first demonstrate analytically the convergence of our method to the desired probability and then we perform a simulation to support our point.

Research paper thumbnail of Study of the Association between the Consumption of Dietary Supplements and Lifestyle Factors in a Population of Moroccan Academics during the COVID 19 Health Crisis

OALib, 2021

The objective of this study is to determine the prevalence of dietary supplement (DS) consumption... more The objective of this study is to determine the prevalence of dietary supplement (DS) consumption by students, their perception of it during Covid 19 confinement, as well as the factors associated with it. A cross-sectional descriptive study was carried out online with a questionnaire, with a population of 350 students from Casablanca (Morocco), from March to May, 2020. The consumption pattern of DS, socio-demographic characteristics and lifestyle were collected. The association between the different factors was made by Pearson's correlation analysis. 69.4% of participants consume DS of which 32% are boys and 27.4% are girls. The most prominent reason for taking DS was to fight fatigue and combat stress (19.8%), and participants preferred to buy them in pharmacies and drugstores (55.5%), on medical prescription. (32.77%) or on the advice of a pharmacist (7.92%). 50.60% consumed vitamins, minerals and/or trace elements, 4.5% proteins/Amino acids and 4% fish oils. About a third (35%) consumed more than one type of supplement at the same time. 45.54% used them occasionally, 17.92% regularly and 6.08 frequently. 48.4% respected the recommended daily doses. Supplementation was significantly associated with body mass index, physical activity, socioeconomic level and is slightly conditioned by dietary practices.

Research paper thumbnail of Quality of Life Assessment with EQ-5D-3L in a Moroccan Diabetic Population

OALib, 2021

Diabetes is a chronic metabolic disease that impairs the lifestyle of patients in different physi... more Diabetes is a chronic metabolic disease that impairs the lifestyle of patients in different physical, mental and social dimensions. This study aims to investigate the determinants of health-related quality of life (HRQoL) in diabetics. A cross-sectional study was conducted on 526 diabetic patients followed in 2019 at the Hygiene Department of the Sidi Othmane district (Casablanca). The data were collected using a questionnaire gathering the demographic, clinical and paraclinical information of patients, as well as a description of health status in the 5 dimensions by the EQ-5D questionnaire. The data was analyzed using SPSS version 23 software. The determinants of quality of life were assessed using the ANOVA test and the Pearson correlation test. The result is considered statistically significant at 0.05. The average quality of life score based on the EQ-5D-3L scale and the VAS analog visual scale was 0.52 ± 0.34 and 55.47 ± 15.50, respectively. Severe problems were observed in anxiety/depression dimensions in 19.20% of patients, while the highest percentages for moderate problems were for the pain/physical discomfort and mobility dimensions (53.80% and 36.90% respectively). The average scores of the EQ-5D-3L and visual analogue scale (VAS) were significantly (P < 0.05) associated with age, gender, education, marital status, professional activity and complications. It follows from this study that the HRQoL of the population of diabetics studied is influenced by many factors, which must be considered in order to achieve better management of diabetes and improve their quality of life.

Research paper thumbnail of Study of Anthropometric and Biological parameters in a Diabetic population of Casablanca, Morocco

International Journal of Advances in Scientific Research and Engineering, 2020

Diabetes mellitus is a public health problem. Our objective is to study the epidemiological profi... more Diabetes mellitus is a public health problem. Our objective is to study the epidemiological profile of diabetes in a population of Casablanca in the Sidi-Othmane district. A retrospective study which took place from January 2007 to May 2018. It is a collection of anthropometric parameters and certain biological parameters. Statistical analysis was studied using the Pearson test and the Student test. The p value <0.05 is statistically significant. A total of 1479 subjects were collected, mainly women (78.7%), with an average age of 56 ± 11 years. The average BMI is 28.34 ± 5.11 kg / m². 40.45% of patients are overweight and 31% obese. The average fasting blood glucose = 1.82 ± 0.73 g / l while the average postprandial glycemia = 2.55 ± 1.16 g / l. Mean HbA1c = 7.6 ± 1.4% confirming the poor glycemic control observed. A significant correlation was observed between glycated hemoglobin (HbA1c) and fasting blood glucose (r² = 0.58, p = 0.001). Hypertension was found in 43.7% of the diabetics. The lipid balance of our patients is characterized by an average cholesterolemia of 2 ± 0.41g / l, HDLc = 0.5 ± 0.21g / l, LDLc: 1.73 ± 0.43g / l and a triglyceride level = 1.37 ± 0.73 g / l. Of the 21.4% of diabetics who died, 58% were women. The most serious causes of death are linked to hypertension. The study shows the existence of factors predisposing to fatal complications that must be worked on to at least reduce the costly complications to manage. The use of HbA1c as a means of controlling the glycemic balance of individuals is a practical and motivating tool for the primary prevention of degenerative complications of diabetes.

Research paper thumbnail of Consumption of light products and prevalence of Obesity among a population of Academics in Casablanca, Morocco

International Journal of Advances in Scientific Research and Engineering, 2020

Moroccan citizens are increasingly aware of the effect of food on their health. The objective of ... more Moroccan citizens are increasingly aware of the effect of food on their health. The objective of this work is to study the consumption of Light products (LP) by students, as well as their effects on the prevalence of obesity. A descriptive cross-sectional study was carried out in 2017 using an anonymous questionnaire. The latter included information related to Gender, age, anthropometric parameters, perception of the body image, as well as the consumption of BP (types, frequency, duration, reasons for consumption, etc.). The results were analyzed by SPSS software, version 21. 19.9% of respondents never consume light products, 59.2% consume them sometimes, 18.6% daily. This consumption varies according to Gender (p <0.05). 28.7% of students consume them to slim down; 30.3% think they are the best for good health and 12% like their good taste. 47.5% of the respondents consume LP in sugar and 30.3% the reduced in fat, with a significant difference between the two gender (p <0.05). Dairy products are the most consumed by participants (48.7%) among the fatty acids, while those for sugar, the most consumed are: confectionery (32.3%) and light drinks (23%). 61.66% of LP consumers have a normal weight (37.9% consume them sometimes and 23.76% daily); 29.66% are overweight (19% sometimes consume them and 10.6% daily) and 4.45% moderate obesity (2.9% sometimes and 1.5% daily). 60% of consumers of low fatty acids and 0.3% of consumers of low sugar have moderate obesity. Uncontrolled consumption of LP can increase the risk of overweight and obesity. However, these products can be consumed as part of a healthy diet and preferably in combination with a balanced and varied diet.

Research paper thumbnail of Relationship study between blood groups, rhesus factor and the risk of diabetes type 2 in a population of the Sidi Othmane district, Casablanca

Endocrine Abstracts, 2019

Research paper thumbnail of Case-control study on the obesity prevalence in a population of diabetic's consultant at the health department of Sidi-Othmane district, Casablanca: Morocco

Endocrine Abstracts, 2019

Research paper thumbnail of Impact of Eating Habits and Lifestyle on the Oral Health Status of a Casablanca’s Academic Population

Research paper thumbnail of Measuring the impact of the stock market index return on stocks return using the stochastic approximation

Journal of Mathematical and Computational Science, 2021

Value at Risk (VAR) is a risk measure frequently used in market finance. This tool gives an idea ... more Value at Risk (VAR) is a risk measure frequently used in market finance. This tool gives an idea of the losses that may occur to a financial asset (share or option), but does not predict when these losses may occur. The objective of our work is to propose a method that allows us to know the state of the economy necessary for Microsoft's performance to suffer extreme losses with alpha probability. This represents a significant asset for investors to consider before trading on the stock market. To answer this problem, we will try to explain the VAR using the ROBBINS-MONRO-JOSEPH procedure for the estimation of a percentile for binary variables, as a function of a systemic risk factor. We will also propose a method for applying the procedure without using real-time experiments. We are going to estimate the different parameters of the process, based on the history of the data available for statistical modelling, then analyse the results of the convergence of the process over the iterations, and finally see the impact of adding a random element to the binary variable of the process on convergence. The final results are satisfying and seem to be in line with reality, but there is room for improvement, either by increasing the number of iterations needed to refine convergence, whereas the stochastic approximation aims to obtain a good estimate in a minimum number of iterations, or by applying other more recent procedures that show better results following simulations.

Research paper thumbnail of Optimal control strategy with delay in state and control variables of transmission of COVID-19 pandemic virus

Communications in Mathematical Biology and Neuroscience

In this work, we are interested in the study of the dynamics of transmission of COVID-19 disease,... more In this work, we are interested in the study of the dynamics of transmission of COVID-19 disease, described by SIR epidemic model, with time delay in state and control variables. Our goal is to characterize the optimal control pair, which minimizes the number of susceptible and infected individuals and maximizes the number of people recovered. Pontryagin's maximum principle with delay is used to characterize these optimal controls. The numerical resolution of the optimal system, has shown the effectiveness of our adopted strategy.

Research paper thumbnail of A Subsidy Strategy to Boost the Activity of Small Milk Producers in Morocco

Journal of Applied Mathematics

The dairy sector in Morocco is a sector that struggles to develop by facing several difficulties.... more The dairy sector in Morocco is a sector that struggles to develop by facing several difficulties. Therefore, a significant gap has emerged between the main national producers and small farmers, while in the economy, the development of small economic actors presents an important lever of growth. If we assume that the consumer’s milk demand function is linear, that it depends only on the consumer’s price, and that production costs follow a decreasing return, and finally, by considering only two actors representing the different types of producers, we will show in this paper that a competitive production subsidy of 0.5 MAD can triple the market share of small farmers while being in a situation of Nash-Cournot’s equilibrium. In addition, the addition of a subsidy to production costs will reduce the price of milk and, thus, increase the annual milk consumption of Moroccans from 59 liters, which is below the world average consumption, to 94 liters annually, thus benefiting the consumer in...

Research paper thumbnail of Assessing the life quality in a Moroccan population of diabetics by the General Quality of Life Questionnaire SF36

Background: The quality of life assessment reflects the impact of chronic diseases on patients. T... more Background: The quality of life assessment reflects the impact of chronic diseases on patients. The objective of our study is to assess the life quality of diabetic patients and to determine the factors that affect it.Methods: A cross-sectional study was conducted in 2019 in the Hygiene Service of the Sidi-Othmane district (Casablanca) in 526 diabetic patients. Quality of life was estimated using the SF-36 questionnaire to determine factors that affect mental or physical health. We used Pearson's correlation test for continuous variables and ANOVA for discontinuous variables.Results: Our patients have an average of life quality considering PCS and MCS respectively (38.47 ± 9.28; 41.15 ± 10.55). Association analyses showed on the one hand associations between the PCS and the gender (p = 0.0001), professional activity (p = 0.0001), marital status (p = 0.0001) and with chronic complications (p = 0.0001). On the other hand, between physical activity and PCS (p = 0.0001) and with MCS...

Research paper thumbnail of Impact of wind speed on optimal fishing effort

Research paper thumbnail of M-SVR Model for a Serious Game Evaluation Tool

International Journal of Advanced Computer Science and Applications, 2021

Today, due to their interactive, participatory and entertaining nature, the Serious Games set the... more Today, due to their interactive, participatory and entertaining nature, the Serious Games set themselves apart from other learning methods used in teaching. Much progress has been made in the design techniques and methods of Serious Games, but little in their evaluation. In order to fill this gap, we had proposed in our previous work an evaluation tool capable of helping practitioners to evaluate Serious Games in different training contexts. This evaluation tool for Serious Games is designed around four dimensions, namely the pedagogical, technological, ludic and behavioral dimensions, which are measured by clearly defined criteria. During this process, it was highlighted that the human factor (evaluator) influences considerably the result of the weightings through the choice to weight the evaluation dimensions of the Serious Games. In order to reduce this influence during the evaluation process and to keep the correlation between the variables of our evaluation system, we present in this paper, an improvement of our evaluation tool by equipping it with an intelligent supervised self-learning algorithm allowing self-regulation of the weights according to the context of use of the Serious Game to be evaluated. Thanks to the experimental verification of the optimization results, the root mean square error and the coefficient of determination are 0.016 and 98.59 percent respectively, indicating that the model has high precision which guaranteed better predictive performance. A comparison was made between this intelligent model and the models presented in our previous work; the results obtained indicated the same order of the four dimensions, and this by reducing the influence of the human factor during the Multi-Output Support Vector Regression weighting process.

Research paper thumbnail of Estimation of the Conditional Probability Using a Stochastic Gradient Process

Journal of Mathematics, 2021

The use of conditional probabilities has gained in popularity in various fields such as medicine,... more The use of conditional probabilities has gained in popularity in various fields such as medicine, finance, and imaging processing. This has occurred especially with the availability of large datasets that allow us to extract the full potential of the available estimation algorithms. Nevertheless, such a large volume of data is often accompanied by a significant need for computational capacity as well as a consequent compilation time. In this article, we propose a low-cost estimation method: we first demonstrate analytically the convergence of our method to the desired probability and then we perform a simulation to support our point.

Research paper thumbnail of Study of the Association between the Consumption of Dietary Supplements and Lifestyle Factors in a Population of Moroccan Academics during the COVID 19 Health Crisis

OALib, 2021

The objective of this study is to determine the prevalence of dietary supplement (DS) consumption... more The objective of this study is to determine the prevalence of dietary supplement (DS) consumption by students, their perception of it during Covid 19 confinement, as well as the factors associated with it. A cross-sectional descriptive study was carried out online with a questionnaire, with a population of 350 students from Casablanca (Morocco), from March to May, 2020. The consumption pattern of DS, socio-demographic characteristics and lifestyle were collected. The association between the different factors was made by Pearson's correlation analysis. 69.4% of participants consume DS of which 32% are boys and 27.4% are girls. The most prominent reason for taking DS was to fight fatigue and combat stress (19.8%), and participants preferred to buy them in pharmacies and drugstores (55.5%), on medical prescription. (32.77%) or on the advice of a pharmacist (7.92%). 50.60% consumed vitamins, minerals and/or trace elements, 4.5% proteins/Amino acids and 4% fish oils. About a third (35%) consumed more than one type of supplement at the same time. 45.54% used them occasionally, 17.92% regularly and 6.08 frequently. 48.4% respected the recommended daily doses. Supplementation was significantly associated with body mass index, physical activity, socioeconomic level and is slightly conditioned by dietary practices.

Research paper thumbnail of Quality of Life Assessment with EQ-5D-3L in a Moroccan Diabetic Population

OALib, 2021

Diabetes is a chronic metabolic disease that impairs the lifestyle of patients in different physi... more Diabetes is a chronic metabolic disease that impairs the lifestyle of patients in different physical, mental and social dimensions. This study aims to investigate the determinants of health-related quality of life (HRQoL) in diabetics. A cross-sectional study was conducted on 526 diabetic patients followed in 2019 at the Hygiene Department of the Sidi Othmane district (Casablanca). The data were collected using a questionnaire gathering the demographic, clinical and paraclinical information of patients, as well as a description of health status in the 5 dimensions by the EQ-5D questionnaire. The data was analyzed using SPSS version 23 software. The determinants of quality of life were assessed using the ANOVA test and the Pearson correlation test. The result is considered statistically significant at 0.05. The average quality of life score based on the EQ-5D-3L scale and the VAS analog visual scale was 0.52 ± 0.34 and 55.47 ± 15.50, respectively. Severe problems were observed in anxiety/depression dimensions in 19.20% of patients, while the highest percentages for moderate problems were for the pain/physical discomfort and mobility dimensions (53.80% and 36.90% respectively). The average scores of the EQ-5D-3L and visual analogue scale (VAS) were significantly (P < 0.05) associated with age, gender, education, marital status, professional activity and complications. It follows from this study that the HRQoL of the population of diabetics studied is influenced by many factors, which must be considered in order to achieve better management of diabetes and improve their quality of life.

Research paper thumbnail of Study of Anthropometric and Biological parameters in a Diabetic population of Casablanca, Morocco

International Journal of Advances in Scientific Research and Engineering, 2020

Diabetes mellitus is a public health problem. Our objective is to study the epidemiological profi... more Diabetes mellitus is a public health problem. Our objective is to study the epidemiological profile of diabetes in a population of Casablanca in the Sidi-Othmane district. A retrospective study which took place from January 2007 to May 2018. It is a collection of anthropometric parameters and certain biological parameters. Statistical analysis was studied using the Pearson test and the Student test. The p value <0.05 is statistically significant. A total of 1479 subjects were collected, mainly women (78.7%), with an average age of 56 ± 11 years. The average BMI is 28.34 ± 5.11 kg / m². 40.45% of patients are overweight and 31% obese. The average fasting blood glucose = 1.82 ± 0.73 g / l while the average postprandial glycemia = 2.55 ± 1.16 g / l. Mean HbA1c = 7.6 ± 1.4% confirming the poor glycemic control observed. A significant correlation was observed between glycated hemoglobin (HbA1c) and fasting blood glucose (r² = 0.58, p = 0.001). Hypertension was found in 43.7% of the diabetics. The lipid balance of our patients is characterized by an average cholesterolemia of 2 ± 0.41g / l, HDLc = 0.5 ± 0.21g / l, LDLc: 1.73 ± 0.43g / l and a triglyceride level = 1.37 ± 0.73 g / l. Of the 21.4% of diabetics who died, 58% were women. The most serious causes of death are linked to hypertension. The study shows the existence of factors predisposing to fatal complications that must be worked on to at least reduce the costly complications to manage. The use of HbA1c as a means of controlling the glycemic balance of individuals is a practical and motivating tool for the primary prevention of degenerative complications of diabetes.

Research paper thumbnail of Consumption of light products and prevalence of Obesity among a population of Academics in Casablanca, Morocco

International Journal of Advances in Scientific Research and Engineering, 2020

Moroccan citizens are increasingly aware of the effect of food on their health. The objective of ... more Moroccan citizens are increasingly aware of the effect of food on their health. The objective of this work is to study the consumption of Light products (LP) by students, as well as their effects on the prevalence of obesity. A descriptive cross-sectional study was carried out in 2017 using an anonymous questionnaire. The latter included information related to Gender, age, anthropometric parameters, perception of the body image, as well as the consumption of BP (types, frequency, duration, reasons for consumption, etc.). The results were analyzed by SPSS software, version 21. 19.9% of respondents never consume light products, 59.2% consume them sometimes, 18.6% daily. This consumption varies according to Gender (p <0.05). 28.7% of students consume them to slim down; 30.3% think they are the best for good health and 12% like their good taste. 47.5% of the respondents consume LP in sugar and 30.3% the reduced in fat, with a significant difference between the two gender (p <0.05). Dairy products are the most consumed by participants (48.7%) among the fatty acids, while those for sugar, the most consumed are: confectionery (32.3%) and light drinks (23%). 61.66% of LP consumers have a normal weight (37.9% consume them sometimes and 23.76% daily); 29.66% are overweight (19% sometimes consume them and 10.6% daily) and 4.45% moderate obesity (2.9% sometimes and 1.5% daily). 60% of consumers of low fatty acids and 0.3% of consumers of low sugar have moderate obesity. Uncontrolled consumption of LP can increase the risk of overweight and obesity. However, these products can be consumed as part of a healthy diet and preferably in combination with a balanced and varied diet.

Research paper thumbnail of Relationship study between blood groups, rhesus factor and the risk of diabetes type 2 in a population of the Sidi Othmane district, Casablanca

Endocrine Abstracts, 2019

Research paper thumbnail of Case-control study on the obesity prevalence in a population of diabetic's consultant at the health department of Sidi-Othmane district, Casablanca: Morocco

Endocrine Abstracts, 2019

Research paper thumbnail of Impact of Eating Habits and Lifestyle on the Oral Health Status of a Casablanca’s Academic Population

Research paper thumbnail of Measuring the impact of the stock market index return on stocks return using the stochastic approximation

Journal of Mathematical and Computational Science, 2021

Value at Risk (VAR) is a risk measure frequently used in market finance. This tool gives an idea ... more Value at Risk (VAR) is a risk measure frequently used in market finance. This tool gives an idea of the losses that may occur to a financial asset (share or option), but does not predict when these losses may occur. The objective of our work is to propose a method that allows us to know the state of the economy necessary for Microsoft's performance to suffer extreme losses with alpha probability. This represents a significant asset for investors to consider before trading on the stock market. To answer this problem, we will try to explain the VAR using the ROBBINS-MONRO-JOSEPH procedure for the estimation of a percentile for binary variables, as a function of a systemic risk factor. We will also propose a method for applying the procedure without using real-time experiments. We are going to estimate the different parameters of the process, based on the history of the data available for statistical modelling, then analyse the results of the convergence of the process over the iterations, and finally see the impact of adding a random element to the binary variable of the process on convergence. The final results are satisfying and seem to be in line with reality, but there is room for improvement, either by increasing the number of iterations needed to refine convergence, whereas the stochastic approximation aims to obtain a good estimate in a minimum number of iterations, or by applying other more recent procedures that show better results following simulations.

Research paper thumbnail of Optimal control strategy with delay in state and control variables of transmission of COVID-19 pandemic virus

Communications in Mathematical Biology and Neuroscience

In this work, we are interested in the study of the dynamics of transmission of COVID-19 disease,... more In this work, we are interested in the study of the dynamics of transmission of COVID-19 disease, described by SIR epidemic model, with time delay in state and control variables. Our goal is to characterize the optimal control pair, which minimizes the number of susceptible and infected individuals and maximizes the number of people recovered. Pontryagin's maximum principle with delay is used to characterize these optimal controls. The numerical resolution of the optimal system, has shown the effectiveness of our adopted strategy.

Research paper thumbnail of A Subsidy Strategy to Boost the Activity of Small Milk Producers in Morocco

Journal of Applied Mathematics

The dairy sector in Morocco is a sector that struggles to develop by facing several difficulties.... more The dairy sector in Morocco is a sector that struggles to develop by facing several difficulties. Therefore, a significant gap has emerged between the main national producers and small farmers, while in the economy, the development of small economic actors presents an important lever of growth. If we assume that the consumer’s milk demand function is linear, that it depends only on the consumer’s price, and that production costs follow a decreasing return, and finally, by considering only two actors representing the different types of producers, we will show in this paper that a competitive production subsidy of 0.5 MAD can triple the market share of small farmers while being in a situation of Nash-Cournot’s equilibrium. In addition, the addition of a subsidy to production costs will reduce the price of milk and, thus, increase the annual milk consumption of Moroccans from 59 liters, which is below the world average consumption, to 94 liters annually, thus benefiting the consumer in...