Claudia Osés Llanes’s scientific contributions

... Regression analysis is the most widely used statistical technique to investigate or estimate the relationship between dependent variables and a set of independent explanatory variables. In our environment, the ROR methodology has allowed mathematical modeling a) the larval densities of mosquitoes b) the population dynamics of mollusks, c) the modeling of infectious entities of different etiologies, such as HIV/AIDS, Cholera, Influenza, Acute Respiratory Infections (ARI), Covid-19, Acute Bronchial Asthma Crisis (CAAB), Fasciolosis, Angiostrongylosis and even, d) in the estimation of the longitude and area of the universe, monthly forecast of precipitations and extreme temperatures, e) forecast of meteorological disturbances (cold fronts, and hurricanes, latitude prediction and length of earthquakes) search for information in white noises) modeling of the Equivalent Effective Temperature (TEE) and Atmospheric Pressure ( PA) h) up to the electricity consumption of a municipality or province ), and more recently in the COVID-19 pandemic [2][3][4][5][6][7][8][9][10][11][12]. ...

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Measurement Of Background Radiation at Oracle Plastics and Sacks Company in Makurdi, Benue State

... By establishing the nature of this trend, whether increasing, decreasing, or stable, stakeholders can better understand the aging pattern in each ethnic community in Sarawak. Linear regression attempts to analyze the relationship between two variables by fitting a linear equation to the observed data [21] and [22]. One variable is considered the explanatory (independent) variable, and the other is considered the dependent variable [23] and [24]. ...

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Ethnic Disparities and Demographic Shifts in Sarawak's Aging Population: A Comprehensive Longitudinal Analysis (1980-2020)

... There are a large number of natural and even social phenomena in nature whose occurrence, evolution and final result depend on several independent variables (Fimia et al., 2021;Osés et al., 2021a, b;Arencibia, 2022). Even though all these variables intervene in the phenomenon, some are more important than others and even the interrelation between them plays a very important role (Wynants et al., 2020;Osés et al., 2021a;Monzón et al., 2023). The intervention of several independent variables makes the prediction of the occurrence of a natural phenomenon difficult to quantify (Gupta et Currently, there are several methods to predict the occurrence of some phenomenon or outcome, which are encompassed in predictive analytics (Xu et Rashid et al., 2023). ...

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Can pandemics be predicted?

... It is noteworthy that despite many studies addressing the relationship between infarcted patients and climatological variables [4][5][6][7][8][9][10] , among many others; the opposite is true for addressing the relationship between climate variables with infarcted patients using mathematical modeling [11][12][13][14] . Studies related to the application of mathematical modeling in arboviral and parasitic entities, transmitted by vector organisms, are much more numerous [15][16][17][18][19][21][22][23][24] , as well as recent research on the use of mathematical modeling as a function of COVID-19 [20,[25][26][27][28] . Internationally, research on the incidence of meteorological variables in infarcted patients using mathematical modeling is scarce [14,[29][30][31][32] , something similar happens in Cuba [33][34][35][36][37] . ...

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Meteorological variables and their Incidence in Infarcted Patients using the Objective Regressive Regression Methodology in the Hospital of Sagua la Grande, Villa Clara, Cuba

... ARI is the leading cause of medical consultations and morbidity in both developed and developing countries (Osés et al., 2017;Osés et al., 2018b;Fimia et al., 2023). The presence of ARI in children under five years of age is independent of living conditions and the degree of development of a country. ...

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* Corresponding author: Rigoberto Fimia Duarte Acute respiratory infections and acute bronchial asthma crises addressed by mathematical modeling

... linear regression through the origin 4. epidemic modeling is historical and has been refined with the advancement of science and technologies, demonstrating the essential role of mathematics in indicating where the disease may move and giving suggestions on how to decide (guinovart, 2020). COVID-19 disease has been recognized as a global threat, in which predictive models for the epidemiological trend of its prevalence and incidence have been being used worldwide (Osés et al., 2018;Prades, 2020;Osés et al., 2021c). ...

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BBRC Vol 16 No 02 2023-01

... Table 1. This model depends on the number of cases returned in 105 days that corresponds to the National data for Cuba) [13]. The mathematical effect of vaccination is small but 100% significant, this may be due to the fact that the The vaccination data that we were able to obtain correspond to the nation and not to the province, despite this difficulty we decided to include them, the cases of Covid-19 depend on the Atmospheric Pressure in the Yabú station as it increases, the cases of Covid increase , with an increase of 1000 hPa the cases can increase by 184 cases, we know that the increase in cases depends on contagion, which does not mean that the virus may be affected by atmospheric pressure and favor or not its incidence in people. ...

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Measurement Of Background Radiation at Oracle Plastics and Sacks Company in Makurdi, Benue State

... Application of the ROR methodology to the modeling of SARS-CoV-2, the virus that causes COVID-19, both in the Santa Clara municipality and the Villa Clara province and for Cuba, which allowed us to make short, medium and long forecasts deadline depending on COVID-19. Making forecasts for deaths and new cases with an advance of 105 days in Cuba, as well as forecasts for deaths, critical, severe, confirmed cases and new cases of COVID-19 in the Santa Clara municipality and at the country level; in addition to the application of said methodology based on vaccination against COVID-19 in Cuba, and the comparison of the ROR methodology as a linear model with the non-linear Weibull model for COVID-19 [36][37][38]. ...

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ARTICLE HISTORY

... El pronóstico se realizó con el uso de la metodología de Regresión Objetiva Regresiva (ROR) que ha sido implementada en diferentes variables como los virus y bacterias que circulan en la provincia Villa Clara [22][23][24][25] . ...

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Articulo 4 medical uo