Mathematical Modelling of Teachers’ Intention to Participate in Online Training During Covid-19 Lockdown: Evidence from Emerging Economy

Because of lockdown for Covid-19 pandemic online teacher’s training has taken on paramount importance in the academia. Consequently, a key focus of training and education related research has been discovering ways to motivate individuals to engage in more active behavior. This research identifies the factors influencing teachers’ intention to participate in online training. Specifically, we investigated the impact of theory of planned behavior (TPB), ability, opportunity and motivation.  Data were collected from 142 respondents using a structured questionnaire from four different universities of Bangladesh. The result suggests high level of impact on teacher’s intention by perceived behavior control, motivation and ability. Our developed research model empirically advances the TPB model with ability, opportunity and motivation

Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample.

BackgroundIn order to minimize the maternal and child mortality rate, the presence of skilled birth attendants (SBA) during delivery is essential. By 2022, 4th health, population and nutrition sector programme in Bangladesh aims to increase the percentage of deliveries performed by SBA to 65 percent. The objective of the present study was to determine the rate and associated factors of usage SBA among Bangladeshi mothers during their delivery.MethodsThis study utilized secondary data that was collected by Bangladesh Demographic and Health Survey (BDHS) 2017-18. The usage of SBA was measured by a question to respondent, who assisted during your delivery? It was classified into two classes; (i) skilled birth attendant (qualified doctors, nurses, midwives, or paramedics; family welfare visitors, community skilled birth attendants, and sub-assistant community medical officers) (code 1), and (ii) unskilled birth attendant (untrained traditional birth attendants, trained traditional birth attendants, relatives, friends, or others) (code 0). Two logistic regression model was used to determine the associated factors of SBA after removing the cluster effect of the outcome variable.ResultsThis study found 53.2% mothers were delivered by SBA in Bangladesh, among them 56.33% and 42.24% mothers were delivered by nurse/midwife/paramedic and doctor respectively. The two level logistic model demonstrated that geographical location (division), type of residence, religion, wealth index, mothers' body mass index, mothers' education level, mothers' occupation, total ever born children, mothers' age at first birth (year), number of ANC visits, husbands' education level and husbands' occupation were significant (pConclusionsThis study revealed that still 46.8% mothers are delivered by unskilled birth attendant, this might be treated of Bangladesh Government to achieve SDGs indicator 3.1.2 by 2030. Counseling could be integrated during ANC to increase awareness, and should ensure for every Bangladeshi mothers visit ANC service during their pregnancy at least 4 times

Rate of skilled birth attendant delivered Bangladeshi mothers.

Rate of skilled birth attendant delivered Bangladeshi mothers.</p

Classification of subject by binary logistic regression analysis for usage of SBA.

Classification of subject by binary logistic regression analysis for usage of SBA.</p

Sampling procedure for the present study.

BackgroundIn order to minimize the maternal and child mortality rate, the presence of skilled birth attendants (SBA) during delivery is essential. By 2022, 4th health, population and nutrition sector programme in Bangladesh aims to increase the percentage of deliveries performed by SBA to 65 percent. The objective of the present study was to determine the rate and associated factors of usage SBA among Bangladeshi mothers during their delivery.MethodsThis study utilized secondary data that was collected by Bangladesh Demographic and Health Survey (BDHS) 2017–18. The usage of SBA was measured by a question to respondent, who assisted during your delivery? It was classified into two classes; (i) skilled birth attendant (qualified doctors, nurses, midwives, or paramedics; family welfare visitors, community skilled birth attendants, and sub-assistant community medical officers) (code 1), and (ii) unskilled birth attendant (untrained traditional birth attendants, trained traditional birth attendants, relatives, friends, or others) (code 0). Two logistic regression model was used to determine the associated factors of SBA after removing the cluster effect of the outcome variable.ResultsThis study found 53.2% mothers were delivered by SBA in Bangladesh, among them 56.33% and 42.24% mothers were delivered by nurse/midwife/paramedic and doctor respectively. The two level logistic model demonstrated that geographical location (division), type of residence, religion, wealth index, mothers’ body mass index, mothers’ education level, mothers’ occupation, total ever born children, mothers’ age at first birth (year), number of ANC visits, husbands’ education level and husbands’ occupation were significant (pConclusionsThis study revealed that still 46.8% mothers are delivered by unskilled birth attendant, this might be treated of Bangladesh Government to achieve SDGs indicator 3.1.2 by 2030. Counseling could be integrated during ANC to increase awareness, and should ensure for every Bangladeshi mothers visit ANC service during their pregnancy at least 4 times.</div

Best subset model and individual contribution for skilled birth attendants.

Best subset model and individual contribution for skilled birth attendants.</p

General characteristics of samples and the status of birth attendant by the characteristics.

General characteristics of samples and the status of birth attendant by the characteristics.</p

ROC curve and area under usage of skilled birth attendant.

ROC curve and area under usage of skilled birth attendant.</p

Effects of demographic, anthropometric, socioeconomic and behaviors factors on use of skilled birth attendant using multilevel logistic regression.

Effects of demographic, anthropometric, socioeconomic and behaviors factors on use of skilled birth attendant using multilevel logistic regression.</p