scholarly journals Regression Model to Evaluate the Impact of Basic Sanitation Services in Households and Schools on Child Mortality in the Municipalities of the State of Alagoas, Brazil

2019 ◽  
Vol 11 (15) ◽  
pp. 4150 ◽  
Author(s):  
Alvaro Cavalcanti ◽  
Arthur Teixeira ◽  
Karen Pontes
Keyword(s):  
Regression Model ◽  
Child Mortality ◽  
Multiple Linear Regression Model ◽  
The State ◽  
Developing Regions ◽  
Sanitation Services ◽  
Reduce Child Mortality ◽  
Basic Sanitation ◽  
Research Findings ◽  
The Impact

The aim of this article is to measure the impact of basic sanitation services on the mortality rate of children under five years of age (U5MR) in the municipalities of the State of Alagoas, Brazil. A multivariate multiple linear regression model was applied for all 102 cities of Alagoas for data years 1991, 2000 and 2010. The research findings are evidence that access to basic sanitation services in the municipalities of the State of Alagoas, especially household sanitary sewage, is associated with a statistically significant reduction of U5MR, p   <   0.01 . The estimates show that the 10% increase in access to household sanitary sewage is associated to a reduction of 5.7 deaths per 1000 born alive (BA). Based on a simulation of universal basic access sanitation services in the municipalities of the State of Alagoas, it is observed that only this public policy would be able to reduce child mortality by more than 94%. The end results of this study are important subsidies to guide basic sanitation policies not only in the State of Alagoas, Brazil, but also in developing regions all over the world, considering the evidences of social and environmental impact.

scholarly journals Influence of tourist flows intensity on market of passenger air carriages

2019 ◽  
Vol 67 ◽  
pp. 02006
Author(s):  
Yuliia Lola ◽  
Mariya Aldoshyna
Keyword(s):  
Economic Development ◽  
Regression Model ◽  
Statistical Significance ◽  
Tourism Development ◽  
The State ◽  
T Test ◽  
Direct Connection ◽  
Tourist Flows ◽  
Economic Regions ◽  
The Impact

This research deals with the impact of intensity of inbound and outbound tourism on the sphere of passenger air carriages, based on the dataset that covers the indicators across different economic regions over the period of 2015-2017. The results based on building a correlation-regression model have shown that there is a close connection between tourism development and passenger carriages intensity. Verification of the model by the criteria of Fisher and Student (F-test and t-test) have proved the hypothesis about its statistical significance only after excluding five countries, for which no direct connection is observed between the chosen indictors. Further research has shown that the level of the country economic development does not influence the passenger air carriages industry. Specific attention is paid to the state and main tendencies of passenger air carriages industry in Ukraine. Impact of tourism on this kind of activity is analysed. The basic measures to increase its efficiency are highlighted.

Study on the Influence Factors of Real Estate Price Based on Regression Model — The Case of Jilin City

2011 ◽  
Vol 117-119 ◽  
pp. 1547-1551
Author(s):  
Xi Li Tan ◽  
Han Zhou ◽  
Ying Song Xu
Keyword(s):  
Real Estate ◽  
Regression Model ◽  
Influence Factors ◽  
Multiple Linear Regression Model ◽  
Factors Affecting ◽  
The Real Estate ◽  
Real Estate Price ◽  
Spss Software ◽  
Countermeasures And Suggestions ◽  
The Impact

Real estate price has been one of the hottest discussion topics, especially in recent years, it becomes the focus of attention. In this paper, we aim to study the impact of economic factors on real estate price. By multiple linear regression model and SPSS software, we analyze four economic indicators affecting the real estate price of Jilin city, and make some amendments and testings, the conclusions show the consumption level and housing construction area are important factors affecting the price trend. On this basis, we further to give the corresponding countermeasures and suggestions.

scholarly journals Prioritizing Countries for Interventions to Reduce Child Mortality: Tools for Maximizing the Impact of Mass Drug Administration of Azithromycin

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e96658 ◽  
Author(s):  
Alastair I. Matheson ◽  
Lisa E. Manhart ◽  
Patricia B. Pavlinac ◽  
Arianna R. Means ◽  
Adam Akullian ◽  
...  
Keyword(s):  
Child Mortality ◽  
Drug Administration ◽  
Mass Drug Administration ◽  
Reduce Child Mortality ◽  
The Impact

scholarly journals Influence of the key account manager in the provisioning management: Evidence from staple companies during the events of COVID-19

Accounting ◽  
2022 ◽  
Vol 8 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Luis-Ricardo Flores-Vilcapoma ◽  
Cynthia-Paola A lbengrin-Mendoza ◽  
Gabriela-Briggite Gomez-Rojas ◽  
Yuri Sánchez-Solis ◽  
Wagner Vicente-Ramos
Keyword(s):  
Experimental Design ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Cross Sectional ◽  
Key Account ◽  
The Impact

The purpose of this research was to evaluate the degree of influence exercised by the Key Account Manager in the provisioning management in the main companies called Staple in Peru, during the events of COVID-19. The research was of type quantitative, cross-sectional and temporal, with a non-experimental design, using a multiple linear regression model and correlation analysis to determine the impact that exists between the variables. The data belongs to the Industrias San Miguel company, distributed in a weekly period from June 2019 to March 2021, which gives 88 observations. The results allow us to conclude that the Key Account Manager is an important manager of the supply of goods during the crisis caused by COVID-19 in staple companies.

scholarly journals Distribusi Belanja Desa dan Capaian Status Pembangunan Desa di Provinsi Riau

2021 ◽  
Vol 5 (2) ◽  
pp. 407
Author(s):  
Bakti Kharisma ◽  
Werry Darta Taifur ◽  
Fajri Muharja
Keyword(s):  
Linear Regression ◽  
Rural Development ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Development Process ◽  
Multiple Linear Regression Model ◽  
Urban Bias ◽  
The Impact ◽  
The Village

The Village Law has become one of the berakhthroughs in overcoming the impact of development that tends to be urban bias. Village is no longer only an object of development but the main actor in rural development process. The source of the budget for the implamentation of rural development has increased significantly with the village fund policy. This study aims to analyze the impact of village budgets and village typology on the achievement of village status in Riau Province. Multiple linear regression model was used to analyze the impact of village budget and village typology has a significant impact on the increase in the developing village index in Riau Province.

scholarly journals Em Busca do Orientador de Formação Ideal

2015 ◽  
Vol 28 (4) ◽  
pp. 486
Author(s):  
Ana Pinheiro Sá ◽  
Cristina Teixeira-Pinto ◽  
Rafaela Veríssimo ◽  
Andreia Vilas-Boas ◽  
João Firmino-Machado
Keyword(s):  
Internal Medicine ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Learning Process ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Clinical Teacher ◽  
Clinical Teachers ◽  
The Impact

<strong>Introduction:</strong> The authors established the profile of the Internal Medicine clinical teachers in Portugal aiming to define a future interventional strategy plan as adequate as possible to the target group and to the problems identified by the residents.<br /><strong>Material and Methods:</strong> Observational, transversal, analytic study. An online anonymous questionnaire was defined, evaluating the demographic characteristics of the clinical teachers, their path in Internal Medicine and their involvement in the residents learning process.<br /><strong>Results:</strong> We collected 213 valid questionnaires, making for an estimated response rate of 28.4%. Median global satisfaction with the clinical teacher was 4.52 (± 1.33 points) and the classification of the relationship between resident and clinical teacher was 4.86 ± 1.04 points. The perfect clinical teacher is defined by high standards of dedication and responsibility (4.9 ± 1.37 points), practical (4.8 ± 1.12 points) and theoretical skills (4.8 ± 1.07 points). The multiple linear regression model allowed to determine predictors of the resident’s satisfaction with their clinical teacher, justifying 82,5% of the variation of satisfaction with the clinical teacher (R2 = 0.83; R2 a = 0.82).<br /><strong>Discussion:</strong> Postgraduate medical education consists of an interaction between several areas of knowledge and intervening variables in the learning process having the clinical teacher in the central role. Overall, the pedagogical abilities were the most valued by the Internal Medicine residents regarding their clinical teacher, as determinants of a quality residentship.<br /><strong>Conclusion:</strong> This study demonstrates the critical relevance of the clinical teacher in the satisfaction of residents with their residentship. The established multiple linear regression model highlights the impact of the clinical and pedagogical relantionship with the clinical teacher in a relevant increase in the satisfaction with the latter.

Geo-epidemiology and socioeconomic aspects of human sporotrichosis in the municipality of Duque de Caxias, Rio de Janeiro, Brazil, between 2007 and 2016

2019 ◽  
Author(s):  
Claudia L C Alzuguir ◽  
Sandro A Pereira ◽  
Mônica A F M Magalhães ◽  
Rodrigo Almeida-Paes ◽  
Dayvison F S Freitas ◽  
...  
Keyword(s):  
Capita Income ◽  
Rio De Janeiro ◽  
The State ◽  
Per Capita Income ◽  
Cross Sectional ◽  
Sanitation Services ◽  
Sporothrix Brasiliensis ◽  
Basic Sanitation ◽  
Per Capita ◽  
Prevalent Species

Abstract Background Sporotrichosis is usually caused by the traumatic inoculation of pathogenic species of fungi of the genus Sporothrix. The most prevalent species in Brazil is Sporothrix brasiliensis, which is generally associated with transmission involving infected cats. Sporotrichosis is hyperendemic in the state of Rio de Janeiro and Duque de Caxias is one of the most affected municipalities. Methods This was a cross-sectional, geo-epidemiological and socioeconomic study of human sporotrichosis in the municipality of Duque de Caxias using geoprocessing information for the construction of thematic maps. Results Eight hundred and twenty-seven cases of sporotrichosis from Duque de Caxias were reported between 2007 and 2016, most of them in women from 25-59 years. The most affected areas had low per capita income and scarce supply of treated water. Human sporotrichosis expanded throughout the territory of the municipality over time. Conclusions An increase in both the number of reported cases and their spatial distribution occurred throughout the studied decade. The concentration of the disease was more intense in areas with greater vulnerability of the population, expressed by low per capita income and deficient provision of basic sanitation services. Sporotrichosis requires measures to better control the disease in Duque de Caxias and in the state of Rio de Janeiro.

The Impact of Climate Change on Agriculture in Morocco: An Econometric Study

2020 ◽  
Vol 1 (2) ◽  
pp. 19-28
Author(s):  
Faycel Tazigh
Keyword(s):  
Climate Change ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Independent Variables ◽  
Temperature And Precipitation ◽  
The Impact ◽  
The Relationship

This paper aims to analyze the relationship that may exist between climate change and cereal yield in Morocco. In order to study this correlation between variables, we used the most common form of regression model which is the multiple linear regression model. There are two main uses of multiple linear regression model. The first one is to quantify the weight of impact that the independent variables had on the dependent variable. The second use is to predict not only the relationship that may found between variables but also their impacts. In our case, we have chosen temperature and precipitation as an independent variables and cereal yield as dependent variable.

scholarly journals Serological markers for hepatitis a among captive and free-living wild mammals in the State of Pará, Brazil

2021 ◽  
Vol 42 (3Supl1) ◽  
pp. 1635-1646
Author(s):  
Marcella Katheryne Marques Bernal ◽  
◽  
Alex Júnior Souza de Souza ◽  
Heloisa Marceliano Nunes ◽  
Andreza Pinheiro Malheiros ◽  
...  
Keyword(s):  
Hepatitis A ◽  
Hepatitis A Virus ◽  
Animal Health ◽  
The State ◽  
Enzyme Linked Immunosorbent Assay ◽  
Serum Samples ◽  
Free Living ◽  
Wild Mammals ◽  
Basic Sanitation ◽  
The Impact

The hepatitis A virus (HAV, Hepatovirus A) in humans has a relevant impact on public health, especially in geographic regions with poor basic sanitation, such as the Brazilian Amazon. Isolates related to hepatoviruses have been described in non human primates, chiropterans, marsupials, rodents, marmots, shrews, and terrestrial hedgehogs. However, the circulation of these viruses in the Amazonian mammal fauna remains unexplored. This study aimed to evaluate the prevalence of antibodies against this hepatovirus in captive and free-living wild mammals belonging to the orders Didelphimorphia, Primates, Carnivora, and Artiodactyla. Serum samples from 71 animals, from three municipalities in the State of Pará (Belém, Santarém, and Capitão-Poço) were tested for total anti-HAV and anti-HAV IgM through enzyme-linked immunosorbent assay (ELISA). Total anti-HAV antibodies were detected in 29.5% (21/71) of non-human primates, 8.4% (6/71) of carnivores, and 5.6% (4/71) of didelphos. All tayassuidos 0% (0/2) were seronegative. Anti-HAV IgM antibodies were not detected in any of the samples tested. The highest total anti-HAV seropositivity in the municipalities studied was in Santarém with 54.24% (12/22), followed by Capitão Poço with 50% (15/30), and then Belém with 21.05% (4/19). Among the seropositive animals, animals kept in exposure cages showed 43.9% (18/41), quarantined animals with 60% (9/15), and free-living animals with 26.6% (4/15). The serological results indicated a profile of previous exposure to hepatovirus among these animals. Therefore, additional studies to characterize HAV-related viruses in captive and free living wild animals need to be conducted to better understand the impact of the circulation of this virus on human and animal health.

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