scholarly journals The Moderated Mediation Role of Malaria Knowledge and Household Income in the Relationship between Insecticide-Treated Mosquito Nets and Malaria

2021 ◽  
Vol 2 (10) ◽  
pp. 890-901
Author(s):  
Tao Hong ◽  
Mohammed Aliye Mohammed ◽  
Mideksa Adugna Koricho ◽  
Gobena Godena
Keyword(s):  
Indirect Effect ◽  
Household Income ◽  
Random Effect ◽  
Random Effect Model ◽  
Malaria Prevalence ◽  
Equation Modeling ◽  
Income Category ◽  
Mosquito Nets ◽  
The Relationship ◽  
Malaria Knowledge

Objectives: The study was premised on the notion that insecticide-treated mosquito nets are positively related to malaria prevalence, and that knowledge mediates the relationship between insecticide-treated mosquito nets and malaria. Furthermore, household income was hypothesized to have a moderating effect on the direct and indirect relationships (through malaria knowledge) between insecticide-treated mosquito nets and the prevalence of malaria. Methods: The hypothesized relationships were examined using panel data collected from ten regions of Ethiopia during 2011-2015. Structural equation modeling and the random effect model were used to test the hypotheses. Statistical analyses were performed using Stata version 13.0. Results: The results were consistent with our proposed hypotheses, showing a significant relationship between the research variables. The findings suggest that malaria knowledge contributes to improving the relationship between insecticide-treated mosquito nets and malaria prevalence. A positively significant indirect effect (β = 0.47, p = 0.003) as well as direct effect (β = 0.28, p = 0.001) was revealed in the study. Furthermore, a positive impact of household income in strengthening the relationship between insecticide-treated mosquito nets and malaria through knowledge was reported, with a considerable value (β = 0.13, p = 0.000). The result also reveals differences in the outcome of malaria prevalence at different levels of household income category, where the indirect effect of insecticide-treated mosquito nets on malaria prevalence via malaria knowledge was positive and significant for households under the second-level income category (β = 0.15, p = 0.000). Conversely, the indirect effect of insecticide-treated mosquito nets on malaria prevalence via malaria knowledge was negative for the high level-income category (β = -0.14, p = 0.022). Besides, insignificant and negative relationships were reported for households under low-level income categories (β = 0.024, p = 0.539). Conclusion: The findings are potentially useful for the health sector to ensure success in infectious disease prevention and control, particularly malaria, and to explain how various factors contribute to the relationship.

The moderated mediation role of malaria knowledge and household income in the relationship between insecticidetreated mosquito nets and malaria prevalence

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Tao Hong ◽  
Keyword(s):  
Indirect Effect ◽  
Household Income ◽  
Structural Equation ◽  
Random Effect Model ◽  
Malaria Prevalence ◽  
Equation Modeling ◽  
Income Category ◽  
Mosquito Nets ◽  
The Relationship ◽  
Malaria Knowledge

Objectives: The study was premised on the notion that insecticidetreated mosquito nets are positively related to malaria prevalence, and that knowledge mediates the relationship between insecticide-treated mosquito nets and malaria. Furthermore, household income was hypothesized to have a moderating effect on the direct and indirect relationships (through malaria knowledge) between insecticide-treated mosquito nets and the prevalence of malaria. Methods: The hypothesized relationships were examined using panel data collected from ten regions of Ethiopia during 2011 – 2015. Structural equation modeling and the random effect model were used to test the hypotheses. Statistical analyses were performed using Stata version 13.0. Results: The results were consistent with our proposed hypotheses, showing a significant relationship between the research variables. The findings suggest that malaria knowledge contributes to improving the relationship between insecticide-treated mosquito nets and malaria prevalence. A positively significant indirect effect (β = 0.47, p = 0.003) as well as direct effect (β = 0.28, p = 0.001) was revealed in the study. Furthermore, a positive impact of household income in strengthening the relationship between insecticide-treated mosquito nets and malaria through knowledge reported, with a considerable value (β = 0.13, p = 0.000). The result also reveals differences in the outcome of malaria prevalence at different levels of household income category, where the indirect effect of insecticide-treated mosquito nets on malaria prevalence via malaria knowledge was positive and significant for households under the second-level income category (β = 0.15, p = 0.000). Conversely, the indirect effect of insecticide-treated mosquito nets on malaria prevalence via malaria knowledge was negative for the high level-income category (β = -0.14, p = 0.022). Besides, insignificant and negative relationships were reported for households under low-level income categories (β = 0.024, p = 0.539). Conclusion: The findings are potentially useful for the health sector to ensure success in infectious disease prevention and control, particularly malaria, and to explain how various factors contribute to the relationship. Keywords: malaria; insecticide-treated mosquito nets; malaria knowledge; household-income; structural equation modelling.

scholarly journals Linking insecticide mosquito nets to malaria: the roles of malaria Knowledge and household-income

2019 ◽  
Author(s):  
Mohammed Aliye Mohammed ◽  
Tao Hong
Keyword(s):  
Household Income ◽  
Structural Equation ◽  
Positive Impact ◽  
Random Effect ◽  
Random Effect Model ◽  
Health Sector ◽  
Equation Modeling ◽  
Mosquito Nets ◽  
The Relationship ◽  
Malaria Knowledge

Abstract Background: Drawing on the theory of the health belief model, this study examined the interplay of insecticide mosquito nets, malaria-knowledge, household income, and malaria. The study premised on the notion that insecticide mosquito nets proposed to be positively related to malaria, and knowledge was proposed to mediate the relationship between insecticide mosquito nets and malaria. Furthermore, household-income was anticipated to have a moderating effect on the direct and indirect relationships (through malaria knowledge) between insecticide mosquito nets and malaria. Methods: The hypothesized relationships were examined using the panel data collected from 10 regions of Ethiopia during 2011 – 2015. Structural equation modeling and random effect model used to test the articulated hypothesis. Statistical analyses were performed using Stata version 13.0. Results: The results were consistent with our proposed hypotheses, showing a significant and positive relationship between the research variables. Accordingly, our estimate suggests that malaria knowledge contributed to improving insecticide mosquito nets and malaria disease relationships. The result revealed a significant and positive effect (β = 0.47, p = 0.003) of the indirect effect where the direct effect coefficient is also positive (β = 0.28, p = 0.001). The study also reported a positive impact of household-income in strengthening the relationship between insecticide mosquito nets and malaria via knowledge with considerable value (β = 0.13, p = 0.000). Conclusion: The findings are potentially useful for the health sector to assure the success regarding infectious disease prevention and control, particularly malaria, explaining how such factors contribute to the relationship.

Linking insecticide-treated mosquito nets to malaria: The roles of malaria Knowledge and household-income

2020 ◽  
Author(s):  
Mohammed Aliye Mohammed ◽  
Tao Hong
Keyword(s):  
Household Income ◽  
Structural Equation ◽  
Positive Impact ◽  
Random Effect ◽  
Random Effect Model ◽  
Health Sector ◽  
Malaria Prevalence ◽  
Mosquito Nets ◽  
The Relationship ◽  
Malaria Knowledge

Abstract Background: Drawing on the theory of the health belief model, this study examined the interplay between insecticide-treated mosquito nets, malaria-knowledge, household income, and malaria. The study was premised on the notion that insecticide-treated mosquito nets are positively related to malaria prevalence; and that knowledge mediates the relationship between insecticide-treated mosquito nets and malaria. Furthermore, household-income was hypothesised to have a moderating effect on the direct and indirect relationships (through malaria knowledge) between insecticide-treated mosquito nets and the prevalence of malaria. Methods: The hypothesised relationships were examined using panel data collected from ten regions of Ethiopia during 2011 – 2015. Structural equation modelling and the random effect model were used to test the hypotheses. Statistical analyses were performed using Stata version 13.0. Results: The results were consistent with our proposed hypotheses, showing a significant relationship between the research variables. Accordingly, our findings suggest that malaria knowledge contributes to improving the relationship between insecticide-treated mosquito nets and malaria prevalence. The results revealed a positively significant indirect effect (β = 0.47, p = 0.003) as well as a positively significant direct effect (β = 0.28, p = 0.001). Further, the study showed a positive impact of household-income in strengthening the relationship between insecticide-treated mosquito nets and malaria through knowledge, with a considerable value (β = 0.13, p = 0.000). Conclusion: The findings are potentially useful for the health sector to ensure success in infectious disease prevention and control, particularly malaria, and to explain how various factors contribute to the relationship.

scholarly journals Role of health extension workers in the relationship between vector control interventions and malaria in Ethiopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohammed Aliye ◽  
Tao Hong
Keyword(s):  
Vector Control ◽  
Indoor Residual Spray ◽  
Random Effect ◽  
Random Effect Model ◽  
Malaria Prevalence ◽  
Mediating Effect ◽  
Insecticide Treated Nets ◽  
Health Extension Workers ◽  
The Relationship

Abstract Background Despite a tremendous decline in the burden of malaria through public health interventions, it is yet remains a critical parasitic health problem in Ethiopia. Insecticide-treated nets and indoor residual spray are considered as the most effective preventive interventions against malaria. This study intended to determine the role of health extension workers in influencing the relationship between vector control strategies and malaria prevalence in Ethiopia. Methods The study adopted a descriptive study based on panel data collected from 10 regions of Ethiopia from 2010 to 2018. The data collected were analyzed using STATA version 13.0. Structural equation modelling was used to assess the mediating effect of health extension workers in the relationship. Further, the random effect model was employed to investigate the direct relationship among the study variables. Results We observed a strong mediating role of health extension workers to the relationship between strategic interventions and malaria prevalence, where the direct path is (β = 0.64, p < 0.05), and the indirect path (β = 0.72, p < 0.001) and (β = 0.98, p < 0.001) confirming the mediation condition to appear. Our analysis revealed that, insecticide-treated nets and indoor residual spray significantly impacts the malaria prevalence (β = 0.20, p < 0.05) and (β = 0.70, p < 0.001) respectively. Further, our analysis suggests that the cumulative effect of indoor residual spray and insecticide-treated mosquito nets have helped better avert malaria prevalence (β = 81.3%, P < 0.05). Moreover, the finding demonstrates the incremental rate of 30.2%, which is the indirect effect of the research [(β = 0.813) - (β1 = 0.511)]. Conclusion The findings are potentially useful for the health sector in charge of infectious disease prevention and control, particularly in developing countries explaining how these group provided support to reduce malaria ensuring the provision of proper health message about the program.

scholarly journals Cyp2C19*2 Polymorphism Related to Clopidogrel Resistance in Patients With Coronary Heart Disease, Especially in the Asian Population: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 11 ◽  
Author(s):  
Ying Sun ◽  
Qing Lu ◽  
Xuefei Tao ◽  
Biao Cheng ◽  
Guoxing Yang
Keyword(s):  
Gene Polymorphism ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Asian Population ◽  
Fixed Effect Model ◽  
Clopidogrel Resistance ◽  
Effect Model ◽  
The Relationship ◽  
Allele Model

In recent years, the relationship between Cyp2C19*2 gene polymorphism and clopidogrel resistance reflected by platelet function assay has been studied extensively, but there is no clear conclusion yet. In order to evaluate the relationship between Cyp2C19*2 gene polymorphism and clopidogrel resistance more accurately, meta-analysis was conducted in this study. The I2 value taking 50% as the limit, the heterogeneity is judged as high or low, and then a random effect model or a fixed effect model is selected for statistical analysis. PubMed, EMBASE, Web of Science, CNKI, and China Wanfang database were searched, and the related literatures from the establishment of the database to May 2020 were collected and analyzed by STATA 15.0 software. A total of 3,073 patients were involved in 12 studies, including 1,174 patients with clopidogrel resistance and 1,899 patients with non-clopidogrel resistance. The results of this study showed that allele model (A vs. G): OR = 2.42 (95%CI: 1.97–2.98); dominant model (AA+GA vs. GG): OR = 2.74 (95%CI: 2.09–3.59); recessive model (AA vs. GA+GG): OR = 4.07 (95%CI: 3.06–5.41); homozygous model (AA vs. GG): OR = 5.70 (95%CI: 4.22–7.71); heterozygote model (GA vs. GG): OR = 2.32 (95%CI: 1.76–3.07), the differences were statistically significant. Also, the analysis of the Ethnicity subgroup indicated that the Asian allele model and the other four gene models were statistically significant. In conclusion, Cyp2C19*2 gene polymorphism is strongly associated with clopidogrel resistance. Allele A, genotype GA, AA, and GG + GA can increase clopidogrel resistance, especially in the Asian population.

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Jumlah Penduduk di Kota Semarang Menggunakan Metode Regresi Data Panel

2019 ◽  
Vol 12 (2) ◽  
pp. 36-41
Author(s):  
Prizka rismawati Arum
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Geographical Area ◽  
Random Effect Model ◽  
Factors Affecting ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship ◽  
Number Of Births

Residents are all people who live in the geographical area of Indonesia for six months or more and or those who have been domiciled for less than six months but aim to settle. Population growth is caused by two components, namely: fertility and mortality. To find out how big the relationship between the  population and the number of births and deaths in each sub-district of Semarang, must observed in several specific time periods and places at once. So in this study, the panel data regression method was used. In panel data regression testing, the results show that the panel data regression model formed to determine the factors that influence the level of population is the random effect model. In this model all assumptions are fulfilled. Significant factors affecting population are number of births. Births and deaths affect the population of 99.95% and the remaining 0.05% is influenced by other factors not examined Penduduk adalah semua orang yang berdomisili di wilayah geografis Indonesia selama enam bulan atau lebih dan atau mereka yang berdomisili kurang dari enam bulan tetapi bertujuan menetap. Pertumbuhan penduduk diakibatkan oleh dua komponen yaitu: fertilitas dan mortalitas. Untuk mengetahui seberapa besar keterkaitan antara jumlah penduduk dengan jumlah kelahiran dan kematian di setiap kecamataan Kota Semarang, harus diamati dalam beberapa periode waktu tertentu dan beberapa tempat secara bersamaan. Sehingga dalam penelitian ini digunakan metode regresi data panel. Dalam pengujian regresi data panel, didapatkan hasil bahwa Model regresi data panel yang terbentuk untuk mengetahui faktor-faktor yang mempengaruhi tingkat jumlah penduduk adalah model random Effect. Pada model tersebut semua asumsi terpenuhi. Faktor yang signifikan mempengaruhi jumlah penduduk adalah jumlah kelahiran. Kelahiran dan kematian mempengaruhi jumlah penduduk sebesar 99.95% dan sisanya sebesar 0.05% dipengaruhi oleh faktor- faktor lain yang tidak di teliti.    

Empirical Analysis of Dependence on Capital Structure with Respect to Its Impact on the Financial Performance of Domestic Non Financial Listed Stock Exchange Companies Operating in the Public Sector of Pakistan

2016 ◽  
Vol 3 (2) ◽  
pp. 58-76
Author(s):  
Syed Jawad Hussain Shahzad ◽  
Memoona Kanwal
Keyword(s):  
Capital Structure ◽  
Financial Performance ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Research Work ◽  
Debt Financing ◽  
The Impact ◽  
The Relationship

This research work is based on the relationship that exists between the capital structure and performance of different sector's firms currently operating in the Pakistan. Capital structure decisions can be considered as the most important financial performance and risk management tools which are available to the companies' management. Capital structure can also play an important role in performance assessment, in performance management and in effective handling of ownership claims. The extensive use and heavy dependence on debt has exposed many companies to potential risk of declined performance and also to the risk of insolvency. This study analyzes the relationship between various capital structure indicators and dependence of financial performance of companies on these indicators using a broad sample covering 202 non-financial firms listed on Karachi Stock Exchange (KSE) over the period of 1999-2012. The sample firms are divided into five sectors i.e. Textile, Chemical, Cement, Food and Fuel & Energy. Financial performance of firms is quantified by Return on Assets (ROE), Return on Equity (ROE), Price-Earnings ratio (PE) and Tobin's Q (TQ). The relationship between financial performance measures and capital structure measures i.e. total debt, short term debt and long term debt is estimated using GLS fixed and random effect model. Sector wise comparison shows that majority of the sectors have similar capital structure. The impact of capital structure on the financial performance is also similar across sectors with few variations. Overall the relationship is found to be negative among capital structure and firm performance measured by ROA, ROE and PE except TQ which is positively related to Long Term Debt to total Assets (LTDA). The result of industry wise comparison contributes significantly to the existing stream of knowledge. The results indicate that lower reliance on the debt financing improves the performance of the firm whereas dependence and exposure of debt financing reduce performance. The research can be useful for the management of companies in different sectors that want to improve their performance.

The Relationship between environmental Financial accounting practices and Financial performance of industrial listed companies in Palestine Stock Exchange

2021 ◽  
pp. 12-31
Author(s):  
Nedal Fareed Abdallah
Keyword(s):  
Financial Performance ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Listed Companies ◽  
Least Square ◽  
Financial Accounting ◽  
Listed Firms ◽  
Effect Model ◽  
The Relationship

The research aimed to investigate the applicability of environmental financial accounting practices in the industrial listed companies in Palestine Exchange and to examine the relationship between the disclosure level of environmental financial accounting practices on the company’s financial performance. The research adopted the descriptive-analytical approach, and the analysis method involved a content analysis of the annual financial reports data which were collected from Industrial listed firms on the Palestine Stock Exchange for the period from 2015 to 2019, including the firms disclosed and not disclose EFAP. Ordinary least square (OLS), fixed effect model (FEM), and random effect model (REM) were employed for processing the data. The results reveal that there is a relationship between the EFAP and financial performance. In addition, there is a difference in financial performance between the group of firms disclosed and not disclosed EFAP. Based on the findings, some recommendations are given for motivating EFAP in the listed firms for improving financial performance.

scholarly journals INTELLECTUAL CAPITAL DISCLOSURES AND AUDIT COMPONENTS IN NON-DISCRETIONARY INCOME

2019 ◽  
Vol 9 (1) ◽  
pp. 124
Author(s):  
Saarce Elsye Hatane ◽  
Dewi Rembulan ◽  
Josua Tarigan
Keyword(s):  
Firm Performance ◽  
Intellectual Capital ◽  
Audit Committee ◽  
Audit Quality ◽  
Random Effect ◽  
Random Effect Model ◽  
Audit Committees ◽  
Net Income ◽  
The Impact ◽  
The Relationship

This study aims to determine the relationship of Intellectual Capital Disclosures (ICD), audit committee characteristics (size, gender, education, expertise), and audit quality toward the performance of the company measured through Non-Discretionary Net Income (NDNI) and Cash Flow Operation (CFO). This study is conducted on service listed companies in the Indonesia Stock Exchange (Service Industry) from 2010 to 2016 by panel data regression method analyzed using random effect model. The results of this study indicate that components in ICD have no significant impact on firm performance. Some components in the audit committees are found to have significant positive relationship towards financial performance. The empirical results suggest that ICD serve as a tool in aiding firm performance. A corporation should practice ICD extensively to enjoy the impact on the firm performance and value. Most research studies the relationship between intellectual capital disclosures and board diversity toward firm performance individually. The interaction of intellectual capital disclosures and audit committee characteristics is analyzed and studied to see whether audit committee characteristics is a factor that can help and improve the effectiveness of firm performance. Audit quality is also being analyzed and being taken into consideration as a variable. This is the first study to find the relationship towards the firm performance using NDNI and CFO as the dependent variables

scholarly journals The Effect of Market Structure on Bank Performance in Central Java

2020 ◽  
Vol 16 (1) ◽  
pp. 112-129
Author(s):  
Imanuel Madea Sakti
Keyword(s):  
Market Structure ◽  
Commercial Banks ◽  
Random Effect ◽  
Random Effect Model ◽  
Bank Performance ◽  
Independent Variables ◽  
Central Java ◽  
Effect Model ◽  
The Relationship ◽  
Positive Effect

Abstract: The research on the Structure-Conduct-Performance (SCP) hypothesis in the banking industry has been done many times, including in Indonesia. However, it still focuses on commercial banks. This research aims to examine the relationship between market structure and bank performance by involving commercial banks and rural banks (Bank Perkreditan Rakyat/BPR) when they are in the same market in the regency/city level. It uses panel data from 565 banks in Central Java: 261 BPR and 304 Commercial Banks, divided into 34 regencies/cities during 2012-2016. Independent variables involve market concentration and market share which is also as moderating variable, and the dependent variable is bank performance. The hypotheses are examined by multiple linear regression with a random effect model. In general, the results support that the market structure has a significant positive effect on bank performance. Another result has found no collusive behavior among dominant banks. Keywords: Structure-Conduct-Performance, Commercial Bank, Rural Bank, Market Structure, Bank Performance Pengaruh Struktur Pasar terhadap Kinerja Bank di Jawa Tengah Abstrak: Penelitian mengenai hipotesis Structure-Conduct-Performance (SCP) pada industri perbankan telah banyak dilakukan, termasuk di Indonesia. Namun, penelitian tersebut hanya berfokus pada bank umum saja. Penelitian ini bertujuan untuk menguji hubungan antara struktur pasar dan kinerja bank dengan melibatkan bank umum dan Bank Perkreditan Rakyat (BPR) ketika berada di pasar yang sama di tingkat kabupaten/kota. Penelitian ini menggunakan data panel terdiri dari 565 bank di Jawa Tengah: 261 BPR dan 304 Bank umum, yang terbagi ke dalam 34 kabupaten/kota selama tahun 2012-2016. Variabel independen yaitu konsentrasi pasar dan pangsa pasar yang sekaligus sebagai variabel moderasi, dan variabel dependen adalah kinerja bank. Hipotesis diuji menggunakan regresi linier berganda dengan random effect model. Secara umum, hasil mendukung bahwa struktur pasar berpengaruh positif signifikan terhadap kinerja bank. Hasil lainnya menunjukkan tidak terdapat perilaku kolusif di antara bank-bank besar. Kata kunci: . Structure-Conduct-Performance, Bank Umum, BPR, Struktur Pasar, Kinerja Bank.

Sign in / Sign up

Export Citation Format

Share Document