Finite Mixture Modelling Approach to Identify Factors Affecting Children Ever Born for 15–49 Year Old Women in Asian Country

Karimuzzaman, Md.; Rahman, Azizur

doi:10.1007/978-981-15-1735-8_17

Cited by 2 publications

(9 citation statements)

References 21 publications

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“…Naturally, the women who married in their teens (before 18 years) and gave their first birth before 20 years had a significantly higher number of children than others. Age at first marriage and the first birth of women were found to be significant determinants of CEB 5 8 16. The study findings revealed that the women who married at the age of 18 years or later and had their first child after the age of 20 were less likely to have a higher number of CEB, similar results were also found in previous studies 8 16 29 30.…”

Section: Discussionsupporting

confidence: 85%

“… 15 It was reported that women’s age at first birth, use of contraceptive methods, education of both women and their husband, religion and wealth index were significantly associated with their number of CEB. 16 …”

Section: Introductionmentioning

confidence: 99%

“…Delayed marriage, usage of contraceptive methods, induced abortion and successive birth intervals were potential demographic determinants for the lower birth rates 15. It was reported that women’s age at first birth, use of contraceptive methods, education of both women and their husband, religion and wealth index were significantly associated with their number of CEB 16…”

Section: Introductionmentioning

confidence: 99%

“…In the data, women are in clusters which result in possible correlation among subjects, that is, correlated responses occurred due to clustering. The clustering effect has been completely overlooked in previous studies for analysing CEB data among Bangladeshi ever-married women 1 16. Analysing CEB data while overlooking the clustering effect may produce misleading inferences and provide incorrect interpretations of the analytical results.…”

Section: Introductionmentioning

confidence: 99%

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Determinants of children ever born among ever-married women in Bangladesh: evidence from the Demographic and Health Survey 2017–2018

et al. 2022

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ObjectiveTo investigate the prevalence of the number of children ever born (CEB) and its associated determinants among women aged 15–49 years in Bangladesh.Study design and settingWe used clustered data extracted from the last two Bangladesh Demographic and Health Surveys (BDHS 2014 and BDHS 2017–2018). A two-stage stratified sampling was used in both surveys. Mixed logistic regression modelling approach for binary responses was adapted to accommodate clustering effects via the generalised linear mixed model framework.ParticipantsThe study is based on 15 924 ever-married women in BDHS 2017–2018 (14 119 in BDHS 2014) of Bangladesh.ResultsAs per the latest BDHS 2017–2018, 42.1% of reproductive women had three or more children. Age at first marriage (p<0.001, OR 0.74, 95% CI 0.666 to 0.825), age at first birth (p<0.001, OR0.54, 95% CI 0.480 to 0.607), place of residence (p<0.001, OR 0.79, 95% CI 0.712 to 0.872), exposure of media (p<0.001, OR 0.71, 95% CI 0.647 to 0.768), religion (p<0.001, OR 1.47, 95% CI 1.277 to 1.690), husband’s desire more child (p<0.001, OR 1.60, 95% CI 1.428 to 1.784), women empowerment (p<0.001, OR 1.19, 95% CI 1.075 to 1.3) and wealth index (p<0.001, OR1.61, 95% CI 0.435 to 1.796) were found to be statistically significant determinants of the number of CEB among ever-married women. The number of CEB among women was negatively associated with their own educational status (p<0.001) and husbands level of education (p<0.001).ConclusionThe CEB appears to be higher among women who were married before 18 years, Muslim, illiterate, living in rural areas, had first birth before 20 years, non-exposure of media and husband’s desire for more children.

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Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determinants of children ever born among ever-married women in Bangladesh: evidence from the Demographic and Health Survey 2017–2018

et al. 2022

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“…This model includes internal covariates effect by the dynamic propagation to future observation by regression of past observation and past conditional means. The external covariates effect included intervention effects followed by the theory of Liboshchick and others (Liboschik et al, 2016; Karimuzzaman et al, 2020; Rahman and Harding, 2017). However, both internal and external covariates effect is allowed by the following generalization of the model (eq 2) as,…”

Section: Methodsmentioning

confidence: 99%

Forecasting the COVID-19 Pandemic with Climate Variables for Top Five Burdening and Three South Asian Countries

Karimuzzaman¹,

Afroz²,

Rahman

2020

Preprint

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Background: The novel coronavirus (COVID-19) is now in a horrific situation around the world. Prediction about the number of infected and death cases may help to take immediate action to prevent the epidemic as well as control the situation of a country. The ongoing debate about the climate factors may need more validation with more studies. The climate factors of the top-five affected countries and three south Asian countries have considered in this study to have a real-time forecast and robust validation about the impact of climate variables. Methods: The ARIMA model have included to model the univariate cumulative confirmed and death cases separately. The MLP, ELM and likelihood-based GLM count time series also considered as they consider the external variables as exogenous regressors. As the death count includes zero itself, zero-inflated count time series model has included instead of likelihood-based GLM. The better fitting of the ARIMA model will validate the underwhelm of meteorological factors was the initial hypothesis. The best model has identified through the application and comparison with the real data points. Results: The results depict that there is an influence of meteorological variables like temperature and humidity mostly for all the selected countries cumulative confirm cases excluding Italy and Sri-Lanka. However, the best models for deaths count of each country also identify the impact of meteorological variables for each country. Conclusion: The authors make the sixty days ahead forecast for each country which will be beneficial for the policymakers.

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Finite Mixture Modelling Approach to Identify Factors Affecting Children Ever Born for 15–49 Year Old Women in Asian Country

Cited by 2 publications

References 21 publications

Determinants of children ever born among ever-married women in Bangladesh: evidence from the Demographic and Health Survey 2017–2018

Determinants of children ever born among ever-married women in Bangladesh: evidence from the Demographic and Health Survey 2017–2018

Forecasting the COVID-19 Pandemic with Climate Variables for Top Five Burdening and Three South Asian Countries

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