---
# System prepended metadata

title: Meeting Note 1/29  New Feature
tags: [meeting note]

---

# Meeting Note 1/29  New Feature
###### tags: `meeting note`

## Demographics

- More age groups

## Vaccination Strategies

### Extendable Input on Vaccination Strategy

| Strategies | Strat 1 | Strat 2 | Strat 3 | ... |
|:----------:|:-------:|:-------:|:-------:|:---:|

### Strategies 
- Commute Worker
    - with a miss ratio
- Greedy Algorithm I
    - Heuristic function (self define)
    - Complexity might be troublesome
    - An unjust strategy
- Greedy Algorithm II
    - By percentage of infections in each census tract (e.g. 當天確診: 萬華50人 台灣共100人 → 萬華50% → 萬華打當天50%的份額)
        - $\frac{\text{# of infections in a tract}}{\text{# of infections in Taiwan} }$
    - By infections ratio in each census tract
        - $\frac{\text{# of infections in a tract}}{\text{Population of a tract} }$

### Optimization

> 已知給定的疫苗策略順序，什麼時機該開放下一個策略開始施打？

- grid search
- regression+optimization

## Pandemic Configurations

### Virus

| Initial Infectors | II 1s | II 2s |  II 3s  | ... |
|:-----------------:|:-----:|:-----:|:-------:|:---:|
|      (Virus)      | basic | delta | omicron | ... |
|      Number       |  ...  |  ...  |   ...   | ... |
|    Trans Prob     |  ...  |  ...  |   ...   | ... |
|  Starting Period  |   1   |  45   |   60    | ... |

- What if a individual is infected by more than two viruses ?

### Vaccine

- Vaccine efficacy waning
- Different efficacy on different varients
- Additional doses

<!-- ## Simplify Model

$$
\begin{split}
\dot S_i=-\sum_{j\in Age}c_{ji}\frac{I_j}{N}S_i,\quad\mbox{for}\  i\in Age
\end{split}
$$

$$
P(x \mbox{ be infected})=1-\prod(1-c)
$$

$$
\dot S=-\sum_{x\in Age(i)}P(x\mbox{ be infected})
$$

3 peo in A go to B
total 6 workers in A, 1 of them is infected

for B

$I_{18-60}+=0.5$
$N_{18-60}+=3$ -->


