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1.
PLoS One ; 19(4): e0302056, 2024.
Article in English | MEDLINE | ID: mdl-38683814

ABSTRACT

BACKGROUND: Vaccination has been an indispensable step in controlling the coronavirus disease pandemic. In early 2021, Bangladesh launched a mass vaccination campaign to boost the COVID-19 vaccination rate when doses were available and immunized millions in the country. Although deemed a success, disparities became conspicuous in vaccination coverage across population of different socioeconomic background. METHODS: The purpose of this cross-sectional study was to assess the vaccination coverage for three doses and detect disparities in uptake of the COVID-19 vaccine among rural population of hard-to-reach areas and urban individuals belonging to the high-risk group -defined in our study as individuals from elusive population such as floating population/street dwellers, transgender, addicts and disabled population. We conducted household survey (n = 12,298) and survey with high risk group of people (2,520). The collected primary data were analysed using descriptive statistical analysis. RESULTS: Our findings show that coverage for the first dose of COVID-19 vaccination was high among respondents from both rural Hard-to-reach (HTR) (92.9%) and non-HTR (94.6%) areas. However, the coverage for subsequent doses was observed to reduce significantly, especially for third dose (52.2% and 56.4% for HTR and non-HTR, respectively). CONCLUSION: Vaccination coverage among urbanites of high-risk group was found to be critically low. Vaccine hesitancy was also found to be high among individuals of this group. It is essential that the individuals of urban high-risk group be prioritized. Individuals from this group could be provided incentives (transport for disabled, monetary incentive to transgenders; food and medicine for drug user and floating people) and vaccination centers could be established with flexible schedule (morning/afternoon/evening sessions) so that they receive vaccine at their convenient time. Community engagement can be used for both high-risk group and rural population to enhance the COVID-19 vaccination coverage and lower disparities in uptake of the vaccine doses nationwide.


Subject(s)
COVID-19 Vaccines , COVID-19 , Rural Population , Urban Population , Vaccination Coverage , Humans , Bangladesh/epidemiology , COVID-19 Vaccines/administration & dosage , Female , Male , COVID-19/prevention & control , COVID-19/epidemiology , Rural Population/statistics & numerical data , Adult , Urban Population/statistics & numerical data , Cross-Sectional Studies , Middle Aged , Adolescent , Vaccination Coverage/statistics & numerical data , Young Adult , SARS-CoV-2/immunology , Vaccination/statistics & numerical data , Healthcare Disparities/statistics & numerical data
2.
Environ Pollut ; 324: 121401, 2023 May 01.
Article in English | MEDLINE | ID: mdl-36889659

ABSTRACT

Deep tubewells are important sources of arsenic mitigation in rural Bangladesh. Compared to commonly available shallow tubewells, deep tubewells tap into deeper low-arsenic aquifers and greatly reduce exposure to arsenic in drinking-water. However, benefits from these more distant and expensive sources may be compromised by higher levels of microbial contamination at point-of-use (POU). This paper examines differences in microbial contamination levels at source and POU among households using deep tubewells and shallow tubewells, and investigates factors associated with POU microbial contamination among deep tubewell users. We assessed a prospective longitudinal cohort of 500 rural households in Matlab, Bangladesh, across 135 villages. Concentration of Escherichia coli (E. coli) in water samples at source and POU using Compartment Bag Tests (CBTs) was measured across rainy and dry seasons. We employed linear mixed-effect regression models to measure the effect of different factors on log E. coli concentrations among deep tubewell users. CBT results show that log E. coli concentrations are similar at source and at POU during the first dry and rainy season, but are significantly higher at POU among deep tubewell users during the second dry season. Log E. coli at POU among deep tubewell users is positively associated with both presence (exponentiated beta exp(b) = 2.52, 95% Confidence Interval (CI) = 1.70, 3.73) and concentration of E. coli (exp(b) = 1.36, 95% CI = 1.19, 1.54) at source, and walking time to the tubewell source (exp(b) = 1.39, 95% CI = 1.15, 1.69). Drinking-water during the second dry season is associated with reduced log E. coli (exp(b) = 0.33, 95% CI = 0.23, 0.57) compared to the rainy season. These results suggest that while households that use deep tubewells have lower arsenic exposure, they may be at higher risk of consuming microbially contaminated water compared to households that use shallow tubewells.


Subject(s)
Arsenic , Drinking Water , Humans , Prospective Studies , Arsenic/analysis , Escherichia coli , Bangladesh , Environmental Monitoring , Water Supply
3.
Article in English | MEDLINE | ID: mdl-32722553

ABSTRACT

Deep tubewells are a key component of arsenic mitigation programs in rural Bangladesh. Compared to widely prevalent shallow tubewells, deep tubewells reduce ground-water arsenic exposure and provide better microbial water quality at source. However, the benefits of clean drinking-water at these more distant sources may be abated by higher levels of microbial contamination at point-of-use. One such potential pathway is the use of contaminated surface water for washing drinking-water storage containers. The aim of this study is to compare the prevalence of surface water use for washing drinking-water storage containers among deep and shallow tubewell users in a cohort of 499 rural residents in Matlab, Bangladesh. We employ a multi-level logistic regression model to measure the effect of tubewell type and ownership status on the odds of washing storage containers with surface water. Results show that deep tubewell users who do not own their drinking-water tubewell, have 6.53 times the odds [95% CI: 3.56, 12.00] of using surface water for cleaning storage containers compared to shallow tubewell users, who own their drinking-water source. Even deep tubewell users who own a private well within walking distance have 2.53 [95% CI: 1.36, 4.71] times the odds of using surface water compared to their shallow tubewell counterparts. These results highlight the need for interventions to limit risk substitution, particularly the increased use of contaminated surface water when access to drinking water is reduced. Increasing ownership of and proximity to deep tubewells, although crucial, is insufficient to achieve equity in safe drinking-water access across rural Bangladesh.


Subject(s)
Arsenic , Environmental Monitoring/methods , Groundwater , Water Pollutants, Chemical/analysis , Water Supply , Arsenic/analysis , Arsenic/toxicity , Bangladesh , Humans
4.
Foods ; 7(9)2018 Sep 07.
Article in English | MEDLINE | ID: mdl-30205455

ABSTRACT

This study is based on the influence of consumers' health consciousness (HC), perceived knowledge (PK) and beliefs affecting the attitude and purchase intent (PI) of the consumers. The outcome of this study is obtained through an exclusive survey conducted on a randomly selected sample of 712 households who purchase liquid milk (LM) in the cities of Dhaka and Chittagong in Bangladesh. A structured questionnaire is used to interview these participants to obtain data which are analysed employing descriptive statistics, Confirmatory Factor Analysis, and Structural Equation Modelling. The results of the analyses corroborate that consumers' health consciousness has a positive impact on perceived knowledge, belief, and attitude, but not on purchase intent. In addition, belief affects both the attitude and PI positively. Although consumers' perceived knowledge is too low to constitute their attitude towards LM, it has a positive, significant impact on the PI. The results also reveal that more than a third of the respondents consume LM several times per month, followed by more than a quarter of the sampled respondents who consume LM several times per week, and these consumption patterns have a positive and significant influence on the PI. Moreover, the monthly income of the family, age, and labelling preference are significantly correlated with PI.

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