R Notebook

The Epidemiological Journey of COVID-19 Vaccine: From Global Development to Bangladesh Presented by : Pranto Bhattacharjee

ID: 25015037

Department of Public Health

Canadian University of Bangladesh

Introduction: The Epidemiological Journey of COVID-19 Vaccine

Initial Emergence: SARS-CoV-2 first identified in Wuhan, China (Dec 2019).

Global Impact: Declared a pandemic by WHO in March 2020.

Vaccine Breakthrough: First vaccines (Pfizer, AstraZeneca) rolled out in late 2020.

#Methodology: Tracking the Vaccination

Data Source: WHO and DGHS Bangladesh.

Metrics: Tracking first, second, and booster dose coverage.

Cold Chain: Monitoring storage requirements for mRNA vaccines.

## Linking to GEOS 3.13.1, GDAL 3.11.4, PROJ 9.7.0; sf_use_s2() is TRUE

## ℹ tmap modes "plot" - "view"
## ℹ toggle with `tmap::ttm()`
## 
## 
## ── tmap v3 code detected ───────────────────────────────────────────────────────
## 
## [v3->v4] `tm_tm_dots()`: migrate the argument(s) related to the scale of the
## visual variable `fill` namely 'palette' (rename to 'values') to fill.scale =
## tm_scale(<HERE>).
## [v3->v4] `tm_dots()`: use 'fill' for the fill color of polygons/symbols
## (instead of 'col'), and 'col' for the outlines (instead of 'border.col').
## [v3->v4] `tm_dots()`: migrate the argument(s) related to the legend of the
## visual variable `fill` namely 'title.col' (rename to 'title') to 'fill.legend =
## tm_legend(<HERE>)'
## [v3->v4] `tm_tm_dots()`: migrate the argument(s) related to the scale of the
## visual variable `size` namely 'scale' (rename to 'values.scale') to size.scale
## = tm_scale_continuous(<HERE>).
## ℹ For small multiples, specify a 'tm_scale_' for each multiple, and put them in
##   a list: 'size.scale = list(<scale1>, <scale2>, ...)'
## [cols4all] color palettes: use palettes from the R package cols4all. Run
## `cols4all::c4a_gui()` to explore them. The old palette name "Reds" is named
## "brewer.reds"
## Multiple palettes called "reds" found: "brewer.reds", "matplotlib.reds". The first one, "brewer.reds", is returned.

Results: Bangladesh Vaccination Drive

Start Date: January 27, 2021.

Coverage: Over 150 million doses administered.

Hotspots: Dhaka and Chattogram show highest coverage.

#Conclusion: Future Strategy

Regular Boosters: Transitioning to annual vaccination.

Local Production: Establishing vaccine plants in Bangladesh.

Awareness: Fighting vaccine hesitancy in rural areas.