Antenatal care taking behavior of Bangladeshi women

Author: 

Md. Sabuj Ali, Mst. Dilara Pervin, A. S. M Abu Saeed

Abstract

Maternal health is the health of women during pregnancy, childbirth, and the postpartum period. Maternal health comprises the health of women during pregnancy, childbirth, and the postpartum period. Health problems during pregnancy may have serious consequences, not only for the woman but also for her child, her family, and her community. This paper is about the health care taking behavior during pregnancy (Antenatal Care) which is an important indicator of the utilization of Maternal Health Care Services (MHC) in Bangladesh. In our study we have focused on the factors that affect the antenatal care. In our study to define the antenatal care we paid our interest of a woman’s antenatal visit, getting care from doctor, nurse, family welfare visitor (FWV), medical assistant/sub-assistant community medical officer (MA/SACMO). For this study, we used secondary data extracted from BDHS-2011, which is a national representative survey of the 15-49 years age groups women. The analysis has been carried out over 7,315 women who have fulfilled the study eligibility criteria. To see the effect of socio-economic and demographic factors on antenatal care (ANC), One way ANOVA was carried out for bivariate analysis and Generalized linear models (GLM) with log link function was carried  out for multivariate analysis. In bivariate analysis it has been found that Type of place of residence, Media Exposure Educational level of Respondent, Husband/partner’s education level, Region, Religion, Wealth index, Belong to NGO and Age of mother at birth has significant effect on antenatal care (ANC).

 Key words: Antenatal care (ANC), Socio-economic factors, Demographic factors, One way ANOVA,              Multiple comparison, Generalized linear model.

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Cite This Article:

Ali, M. S.,  Pervin, M. D. & Saeed, A. S. M. (2018). Antenatal care taking behavior of Bangladeshi women. International Journal of Science and Business, 2(4), 547-557. doi: https://doi.org/10.5281/zenodo.1407714

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About Authors

Md. Sabuj Ali, (Corresponding Author) Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

Mst. Dilara Pervin, Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

S. M. Abu Saeed, Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

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DOI: https://doi.org/10.5281/zenodo.1407714

A Statistical Investigation on present condition of Tant: A case study of Sirajgonj district, Bangladesh

Author: 

Mst. Dilara Pervin, A. S. M. Abu Saeed, Md. Sabuj Ali, Papia sultana

Abstract

Tant industry is the biggest handicraft industry in our country. At present Tant are declining day by day. The aim of the study to identified the existing problems in the Tant industry, evaluate the socio-economic condition of the workers associated with the Tant industries including Tant households. For this study, data are collected with SRSWOR. Our research project based on the prospective pilot study of survey on Present condition of Tant. Original sampling method is multistage cluster sampling. Firstly, we used in appropriate measure of mean with SD (standard deviation), median with IQR (inter quartile range) and percentage for discrete and continuous data. For modeling at first checked the normal P-P plot to the deviation of income index. The linear regression model was performed to analyze the factors affecting the deviation of income index. We observed that educational level, No of family members, No of Tant at beginning, No of worker, Initial investment, Source of loan, Yearly expenditure, perception on Tant are declining day by day, Designing cloth, Additional job and Involving with Tant  since boyhood are significant (P<0.001) to the deviation of income index whereas Marital status, Family status, Price of cloth produced in a week, Investment at present, Colored string themselves, Cloth usually produced are insignificant (P<0.001) effect to the deviation of income index. By Enter method, we do not get the appropriate model, so we get the appropriate model we use to perform another method namely “Forward method”. According to this method in 12th step it consists twelve variable which is Yearly expenditure, No of family members, Perception on Tant are declining day by day, Initial investment, Source of loan, Marital status, Family status, No of  Tant at beginning, Involving with Tant since boyhood, Education level, Additional job, Designing cloth. We observed that Yearly expenditure, No of family members, perception on Tant are declining day by day, Initial investment, Source of loan, No of Tant at present, Involving with Tant since boyhood, Education level, Additional job, Designing cloth are significant (P< 0.001) to the deviation of income index whereas Marital status, Family status are insignificant effect to the deviation income index.

 Key words: Tant, SRSWOR, SD, IQR, Income index.

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Cite This Article:

Pervin, M. D., Saeed, A. S. M. A., Ali, M. S. & Sultana P. (2018). A Statistical Investigation on present condition of Tant: A case study of Sirajgonj district, Bangladesh. International Journal of Science and Business, 2(4), 538-546. doi: https://doi.org/10.5281/zenodo.1407702

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About Authors

Mst. Dilara Pervin, (Corresponding Author) Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

S. M. Abu Saeed, Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

Md. Sabuj Ali, Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

Papia Sultana, Professor, Department of Statistics, Rajshahi University (RU), Rajshahi, Bangladesh.

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DOI: https://doi.org/10.5281/zenodo.1407702

Time Series Modeling and Forecasting of CPI of Bangladesh

Author: 

S. M. Abu Saeed, Md. Sabuj Ali, Mst. Dilara Pervin, Md. Ziaul Hassan

Abstract

Time series data is very important in the case of financial development of any economy. But it is very difficult to deal with time series data. This study is consists of time series modeling and forecasting of some economic variables of Bangladesh. For this study we have considered CPI as selected economic variables of Bangladesh. The variable was collected from the “Monthly Economic Trends” published by the Bangladesh Bank. For modeling purpose we have used Box-Jenkins Methodology which is very popularly known in the sector of time series modeling. On the study at first we have checked the stationarity. For checking stationarity we have used both graphical method and Dickey Fuller test. Then to find the appropriate model for CPI we have used the ACF, PACF curves. After finding the appropriate models we have performed the diagnostic checking for each of the fitted model, which was good. Then by using the best fitted model we have find some forecasted values for each of the variables.

 Key words: Stationarity, Box-Jenkins Methodology, Dickey Fuller test, ACF, PACF, ARIMA model.

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Cite This Article:

Saeed, S. M. A., Ali, M. S., Pervin, M. D., & Hassan, M. Z. (2018). Time Series Modeling and Forecasting of CPI of Bangladesh . International Journal of Science and Business, 2(4), 530-537. doi: https://doi.org/10.5281/zenodo.1407688

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About Authors

S. M. Abu Saeed, (Corresponding Author) Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

Md. Sabuj Ali, Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

Mst. Dilara Pervin, Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

Md. Ziaul Hassan, Assistant Professor, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.

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DOI: https://doi.org/10.5281/zenodo.1407688