Papers by Md. Takrib Hossain
BMJ Open, 2025
Objectives: Bangladesh is highly prone to recurrent flooding that disrupts all four pillars of fo... more Objectives: Bangladesh is highly prone to recurrent flooding that disrupts all four pillars of food security. This study aimed to explore the effect of household food insecurity on the underweight status of women in flood-affected areas of Bangladesh, which remains underexplored. Design: This is a cross-sectional analysis. Setting: This study was conducted in eight sub-districts (upazilas) across eight districts in Bangladesh that experience severe to moderate river flooding, flash floods and substantial tidal surges. Participants: A total of 532 women participated in the study. The inclusion criteria for participation were as follows: (1) being at least 18 years of age, (2) residing in the household for at least 1 year and (3) having experienced limited food access in the 4 weeks before data collection due to flood-related constraints. Primary outcome measures: Household food insecurity was measured using the U.S. Agency for International Development Household Food Insecurity Access Scale questionnaire. An underweight status was evaluated through anthropometric measurements of women. Adjusted prevalence ratios (aPRs) were estimated using robust log-linear models. Results Moderate food insecurity was the most common (58.3%) among the participants. The prevalence of underweight was the highest (52.1%) in the severely foodinsecure group and decreased significantly with improved food security. Severe household food insecurity was strongly associated with a higher prevalence of underweight individuals (aPR = 4.12; 95% CI, 1.60 to 10.60). An underweight status was also prevalent in women from moderately food-insecure households (aPR = 1.75; 95% CI, 0.68 to 4.55). Conclusion: This study reveals a significant association between household food insecurity and underweight status, highlighting the major challenges faced by women living in flood-prone areas of Bangladesh. These findings emphasise the urgent need to address household food insecurity to improve nutritional outcomes for women in vulnerable communities.
MDPI, Basel, Switzerland, 2024
Abstract: Background/Objectives: An Android platform-based customised app and web-linked system w... more Abstract: Background/Objectives: An Android platform-based customised app and web-linked system was developed to aid in implementing selected nutrition interventions by community health workers (CHWs) in a community-based cluster randomised trial (c-RCT) in rural Bangladesh.
Methods: Here, we describe the architecture of the intervention delivery system, and explore feasibility of employing mHealth as CHWs’ job aid, employing a mixed-method study design covering 17 visits per mother-child dyad. We analysed CHWs’ real-time visit information from monitoring
and documentation data, and CHWs’ qualitative interviews to explore the advantages and barriers of using mHealth as a job aid. Results: Intervention coverage was high across the arms (>90%), except around the narrow perinatal period (51%) due to mothers’ cultural practice of moving to their parents’ homes and/or hospitals for childbirth. CHWs mentioned technical and functional advantages of the job aid including device portability, easy navigability of content, pictorial demonstration that improved communication, easy information entry, and automated daily scheduling of tasks. Technical challenges included charging tablets, especially in power cut-prone areas, deteriorated battery capacity over continuous device usage, unstable internet network in unsupportive weather conditions, and device safety. Nevertheless, onsite supervision and monitoring by expert supervisors remained important to ensure intervention quality. Conclusions: With appropriate training and supervision, CHWs utilised the tablet-based app proficiently, attaining high coverage of long-term visits. mHealth was thus useful for designing, planning, scheduling, and delivering nutrition interventions through CHWs, and for monitoring and supervision by supervisors. Therefore, this
application and job aid can be adopted or replicated into the currently developing national health systems platform for improving coverage and quality of preventive maternal and child nutrition services. In addition, continuous supportive supervision by skilled supervisors must be accompanied to ensure CHWs’ task quality. Finally, future studies should rigorously assess undesirable health and environmental effects of mHealth before and after mainstreaming, effective interventions addressing device-induced health hazards should be designed and scaled up, and effective e-waste management must be ensured.
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
International Business Research, 2019
Employees' satisfaction is directly related to their commitment, citizenship behavior, turnov... more Employees' satisfaction is directly related to their commitment, citizenship behavior, turnover, absenteeism, dedication and performance. Job satisfaction is important to attract and retain talent workforce. Organization can ensure a competitive advantage over the key rivals through confirming the satisfaction of employees towards job. Organization need to meet the expectations of employees’ which shall ensure their job satisfaction. The purpose of the study is to measure the job satisfaction in government employees of Tangail district. Primary data was used in the study and the sample size of the study was 80. The study revealed the key facets of job satisfaction in government sector of Bangladesh. Factors including salary of employees, performance appraisal system, promotional strategies, employee’s relationship with management and other co- employees, training and development program, work burden, influence of higher authority and working hours are found important...
Modeling for Prospect of Aman Rice Production in Dhaka Division, Bangladesh
Statistics for Data Science and Policy Analysis, 2020
Rice is the dominant food crop of Bangladesh, about 75% of agricultural land is use for productio... more Rice is the dominant food crop of Bangladesh, about 75% of agricultural land is use for production and it contributes 28% of GDP. Aman is one of the main harvest crops and second largest rice crop in the country in respect to the volume of production. The main purpose of this study is to identify the Auto-Regressive Integrated Moving Average (ARIMA) model by Box-Jenkin’s approach that could be used to forecast the production of Aman Rice in Dhaka Division Bangladesh. The Secondary data were collected for the year 1972–1973 to 2014–2015 from the Bangladesh Agricultural Research Council (BARC) for the purpose of model identification and forecast up-to the year 2035 of the identified model. Data sets are checked for whether it is stationary or not through graphical method, correlogram and unit root test. Thus Box-Jenkins approach is applied for determination of ARIMA model. The best selected Box-Jenkin’s ARIMA model for forecasting the production of Aman Rice is ARIMA (1,1,1). For residual diagnostics correlogram Q-statistic and histogram and normality test were used. The comparison between the original series and forecasted series shows the same manner which indicates the fitted model behaved statistically well and suitable to forecast the production of Aman Rice in Dhaka Division Bangladesh. We have found that the annual production of Aman Rice in Dhaka Division Bangladesh is slightly increasing.
Applied Statistics and Policy Analysis Conference , 2019
Rice is the dominant food crop of Bangladesh, about 75 percent of agricultural land for productio... more Rice is the dominant food crop of Bangladesh, about 75 percent of agricultural land for production and it contributes 28 percent of GDP. Aman is one of the main harvest crops and second largest rice crop in the country in respect to the volume of production. The main purpose of this study is to identify the Auto-Regressive Integrated Moving Average (ARIMA) model by Box-Jenkins approach that could be used to forecast the production of Aman Rice in Dhaka Division Bangladesh. The Secondary data were collected for the year 1972-73 to 2014-15 from the Bangladesh Agricultural Research Council (BARC) for the purpose of model identification and forecast up-to the year 2035 of the identified model. Data sets are checked for whether it is stationary or not through graphical method, correlogram and unit root test. Thus Box-Jenkins approach is applied for determination of ARIMA model. The best selected Box-Jenkin's ARIMA model for forecasting the production of Aman Rice is ARIMA (1,1,1). For residual diagnostics correlogram Q-statistic and histogram and normality test were used. The comparison between the original series and forecasted series shows the same manner which indicates the fitted model behaved statistically well and suitable to forecast the production of Aman Rice in Dhaka Division Bangladesh. We have found that the annual production of Aman Rice in Dhaka Division Bangladesh is slightly increasing.
International Business Research; Vol. 12, No. 2; 2019, 2019
Employees' satisfaction is directly related to their commitment, citizenship behavior, turnover, ... more Employees' satisfaction is directly related to their commitment, citizenship behavior, turnover, absenteeism, dedication and performance. Job satisfaction is important to attract and retain talent workforce. Organization can ensure a competitive advantage over the key rivals through confirming the satisfaction of employees towards job. Organization need to meet the expectations of employees" which shall ensure their job satisfaction. The purpose of the study is to measure the job satisfaction in government employees of Tangail district. Primary data was used in the study and the sample size of the study was 80. The study revealed the key facets of job satisfaction in government sector of Bangladesh. Factors including salary of employees, performance appraisal system, promotional strategies, employee"s relationship with management and other co-employees, training and development program, work burden, influence of higher authority and working hours are found important for improving job satisfaction of govt. employees in Tangail city. Increase in level of these factors improves overall satisfaction of employees which is identified by using statistical technique.
Research & Reviews: Journal of Statistics , 2017
The main focus of this research is to find time series model and forecast on climate data of rain... more The main focus of this research is to find time series model and forecast on climate data of rainfall in Rajshahi district in Bangladesh for the period of January, 1964 to June, 2014. The secondary data were collected from Bangladesh Agricultural Research Council (BARC) for the purpose of model identification and forecast up to the year 2020 of the identified model.To test the stationarity of the series graphical method, correlogram and unit root test were used. The time series plot shows that the series has slightly downward trend. From the autocorrelation function (ACF) and partial autocorrelation function (PACF) it was found that there is a seasonal effect in the data. Akaike information criterion (AIC) is used for model selection. Box-Jenkins methodology is also used for model selection and forecasting. The chosen model was seasonal autoregressive integrated moving average (SARIMA)(0,0,0)(0,1,2)12. For residual diagnostics, correlogram Q-statistic and histogram and normality test were used. Also, Chow test was used for stability testing. Using model selection criterion and checking model adequacy, it is found that the model is suitably in shape. For the forecast period from July 2014 to December 2020, the maximum rainfall of Rajshahi is in the month of June and July, which is the rainy season in our country. On an average, the maximum rainfall of Rajshahi is 14 mm in the month of July. The maximum rainfall of Rajshahi will be14.82 mm in the month of July in 2020.
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Papers by Md. Takrib Hossain
Methods: Here, we describe the architecture of the intervention delivery system, and explore feasibility of employing mHealth as CHWs’ job aid, employing a mixed-method study design covering 17 visits per mother-child dyad. We analysed CHWs’ real-time visit information from monitoring
and documentation data, and CHWs’ qualitative interviews to explore the advantages and barriers of using mHealth as a job aid. Results: Intervention coverage was high across the arms (>90%), except around the narrow perinatal period (51%) due to mothers’ cultural practice of moving to their parents’ homes and/or hospitals for childbirth. CHWs mentioned technical and functional advantages of the job aid including device portability, easy navigability of content, pictorial demonstration that improved communication, easy information entry, and automated daily scheduling of tasks. Technical challenges included charging tablets, especially in power cut-prone areas, deteriorated battery capacity over continuous device usage, unstable internet network in unsupportive weather conditions, and device safety. Nevertheless, onsite supervision and monitoring by expert supervisors remained important to ensure intervention quality. Conclusions: With appropriate training and supervision, CHWs utilised the tablet-based app proficiently, attaining high coverage of long-term visits. mHealth was thus useful for designing, planning, scheduling, and delivering nutrition interventions through CHWs, and for monitoring and supervision by supervisors. Therefore, this
application and job aid can be adopted or replicated into the currently developing national health systems platform for improving coverage and quality of preventive maternal and child nutrition services. In addition, continuous supportive supervision by skilled supervisors must be accompanied to ensure CHWs’ task quality. Finally, future studies should rigorously assess undesirable health and environmental effects of mHealth before and after mainstreaming, effective interventions addressing device-induced health hazards should be designed and scaled up, and effective e-waste management must be ensured.