Dataset Information

Systematic Assessment of COVID-19 Pandemic in Bangladesh: Effectiveness of Preparedness in the First Wave

ABSTRACT: Background: To develop an effective countermeasure and determine our susceptibilities to the outbreak of COVID-19 is challenging for a densely populated developing country like Bangladesh and a systematic review of the disease on a continuous basis is necessary. Methods: Publicly available and globally acclaimed datasets (4 March 2020–30 September 2020) from IEDCR, Bangladesh, JHU, and ECDC database are used for this study. Visual exploratory data analysis is used and we fitted a polynomial model for the number of deaths. A comparison of Bangladesh scenario over different time points as well as with global perspectives is made. Results: In Bangladesh, the number of active cases had decreased, after reaching a peak, with a constant pattern of death rate at from July to the end of September, 2020. Seventy-one percent of the cases and 77% of the deceased were males. People aged between 21 and 40 years were most vulnerable to the coronavirus and most of the fatalities (51.49%) were in the 60+ population. A strong positive correlation (0.93) between the number of tests and confirmed cases and a constant incidence rate (around 21%) from June 1 to August 31, 2020 was observed. The case fatality ratio was between 1 and 2. The number of cases and the number of deaths in Bangladesh were much lower compared to other countries. Conclusions: This study will help to understand the patterns of spread and transition in Bangladesh, possible measures, effectiveness of the preparedness, implementation gaps, and their consequences to gather vital information and prevent future pandemics.

SUBMITTER: Saha P

PROVIDER: S-EPMC8567082 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND:Community pharmacies provide an important healthcare service, which is broadly established, and constitutes the preferred and initial contact for members of the community. The significant value of community pharmacies was further highlighted during the COVID-19 pandemic crisis. OBJECTIVE:The assessment of community pharmacies preparedness for the COVID-19 pandemic. METHODS:A cross-sectional interview survey of 1018 community pharmacies working in four regions of Egypt (South, East, Centre, and North). Data collection was conducted from 8-19 April 2020. RESULTS:Availability of personal protective equipment (PPE) and medication was better than alcohol (70% conc.). Home delivery services were available in 49.1% of pharmacies. Infection control measures covering interactions between staff were in place in up to 99.5% of pharmacies. Conversely, there was less frequent availability of contactless payment (29.1%), hand sanitizers (62.1%) or masks (86.5%) for customer use, or a separate area for patients with suspected COVID-19 (64%). Verbal customer education (90.4%) was used preferably to written (81.3%). Despite high clinical knowledge and awareness (97.6%-99.2%), only 8.8% of pharmacists had reported suspected COVID-19 cases, however this varied significantly with pharmacist demographics (geographic region P < 0.001; pandemic training p < 0.001; position p = 0.019; age p = 0.046). CONCLUSIONS:Government and policymakers strive to mitigate the shortage of PPE and medication. More attention should be given to infection control measures around interactions between staff and customers to ensure community pharmacists are fit and able to provide continuity in their important role. Educating customers using regularly-updated posters, banners or signs will contribute to decreasing contact with patients, and reducing the number and duration of visits to the pharmacy. Pandemic preparedness of community pharmacists must also extend to reporting procedures. By avoiding under-reporting or over-reporting, community pharmacists will contribute to accurate monitoring of the national spread of infection.

Dataset Information

Systematic Assessment of COVID-19 Pandemic in Bangladesh: Effectiveness of Preparedness in the First Wave

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets