pasero for detecting pathogen-serotype outbreaks
Project description
pasero
pasero is a PyPI tool to visualize "Number of isolates" or "% Change" against the baseline of "Past two years average". pasero can be used for detecting outbreaks of pathogens and serotypes. Execute the pip command provided below in your system terminal to install Pasero. Note that the symbol ‘$’ signifies the system prompt. Pasero is an interactive system to show either 'Number of isolates' or 'Past two years average' as baseline and '% Change'.
$ pip install pasero
The subsequent illustration showcases a scenario where ‘Salmonella’ is the chosen pathogen and ‘Sundsvall’ is the selected serotype. The ‘Past two years average and % Change’ option was picked, resulting in a graph with two distinct lines.
$ pasero Pathogens: 1. Campylobacter 2. STEC 3. Salmonella 4. Shigella 5. Vibrio Select a pathogen by number: 3 Serotypes: 1. Africana 2. Agbeni 3. Agona ... 32. Stanley 33. Sundsvall 34. Thompson 35. Typhi 36. Typhimurium 37. Uganda Select up to 4 serotypes by number (separated by space): 33 1. Number of isolates 2. Past two years average and % Change Select one by number: 2
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pasero-0.0.1.tar.gz
.
File metadata
- Download URL: pasero-0.0.1.tar.gz
- Upload date:
- Size: 3.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d329cd157cd5813937211097427ca6efbfb62d53647bb090836fbd23bdbdce14 |
|
MD5 | e7df970878fe73bd8e9bb24af709ba1b |
|
BLAKE2b-256 | acceaa97167d82fb7ff7564f16d49ed7919d91916c9638fd5fbd01514e211aa9 |
File details
Details for the file pasero-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: pasero-0.0.1-py3-none-any.whl
- Upload date:
- Size: 3.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 31669f25488970d91e4cc058b444e17334d2704732964aa8ba0eb7aed86e1469 |
|
MD5 | 54e080266416a7377b4499eaba32a0a9 |
|
BLAKE2b-256 | 75b0191813f2b26b56c888e9b0bef06e4d3179930bb877bfc3018a5b25489df5 |