pcm-dpc covid-19 parser

This is a simple parser, written in python, to simplify the access to the COVID-19 dataset provided by Italian Government (https://github.com/pcm-dpc/COVID-19).

The usage is simple. You only need to download and import the file:

import sys
sys.path.append('/.../app_path/C19Sdk/Python')
import C19Sdk

To retrive the data you have to use this syntax:

# the name of variable can be whatever you want
# the parameter is N for default or it has to be (N, R, D)
n_data = CovidData("N") 
r_data = CovidData("R")
d_data = CovidData("P")

After that you can retrive the information using this sintax:

Key	Endpoint	Output
N	National Data	NationalData Object
R	Regional Data	List of RegionalData Objects
D	District Data	List of DistrictData Objects
L	Used only to get the last update date	YYYY-mm-dd date format

According to the pcm-dpc dataset, the name of the attributes in the object are keep in italian in order to have a directly corrispondation with the dataset.

legenda:

✅ this means the field are directly retrieve by the pcm-dpc dataset ❌ this means the field are calculated from data of the pcm-dpc dataset.

NationalData:

Attributes	Description	In original dataset
data	date when the data item was collected	✅
stato	Nation of data (ITA)	✅
ricoverati_con_sintomi	hospitalized with symptoms	✅
terapia_intensiva	intensive care	✅
totale_ospedalizzati	total hospitalized	✅
isolamento_domiciliare	home isolation	✅
totale_positivi	total positives	✅
variazione_totale_positivi	positive difference healed	✅
nuovi_positivi	new positives	✅
dimessi_guariti	healed	✅
deceduti	died	✅
casi_da_sospetto_diagnostico	suspicious cases	✅
casi_da_screening	screening cases	✅
totale_casi	total cases	✅
tamponi	swabs	✅
casi_testati	tested cases	✅
note	note	✅
ingressi_terapia_intensiva	intensive care entrace	✅
note_test	test note	✅
note_casi	cases note	✅
nuovi_tamponi	new swabs	❌
nuovi_morti	new died	❌
nuovi_tamponi_molecolari	new molecolar swabs	❌
nuovi_tamponi_antigenici	new antigenic swabs	❌
nuovi_positivi_tamponi_molecolari	new positives by molecular swabs	❌
nuovi_positivi_tamponi_antigenici	new positives by antigenic swabs	❌
tp_ratio	positives/swans ratio	❌

RegionalData:

Attributes	Description	In original dataset
data	date when the data item was collected	✅
stato	Nation of data (ITA)	✅
codice_regione	ISTAT code referred of the region	✅
denominazione_regione	Name of the region	✅
lat	Latidude	✅
long	Longitude	✅
ricoverati_con_sintomi	hospitalized with symptoms	✅
terapia_intensiva	intensive care	✅
totale_ospedalizzati	total hospitalized	✅
isolamento_domiciliare	home isolation	✅
totale_positivi	total positives	✅
variazione_totale_positivi	positive difference healed	✅
nuovi_positivi	new positives	✅
dimessi_guariti	healed	✅
deceduti	died	✅
casi_da_sospetto_diagnostico	suspicious cases	✅
casi_da_screening	screening cases	✅
totale_casi	total cases	✅
tamponi	swabs	✅
casi_testati	tested cases	✅
note	note	✅
ingressi_terapia_intensiva	intensive care entrace	✅
note_test	test note	✅
note_casi	cases note	✅
totale_positivi_test_molecolare	total positives by molecular swabs	✅
totale_positivi_test_antigenico_rapido	total positives by antigenic swabs	✅
tamponi_test_molecolare	total molecular swabs	✅
tamponi_test_antigenico_rapido	total antigenic swabs	✅
codice_nuts_1		✅
codice_nuts_2		✅
nuovi_tamponi	new swabs	❌
nuovi_morti	new died	❌
nuovi_tamponi_molecolari	new molecolar swabs	❌
nuovi_tamponi_antigenici	new antigenic swabs	❌
nuovi_positivi_tamponi_molecolari	new positives by molecular swabs	❌
nuovi_positivi_tamponi_antigenici	new positives by antigenic swabs	❌
tp_ratio	positives/swans ratio	❌

DistrictData:

Attributes	Description	In original dataset
data	date when the data item was collected	✅
codice_regione	code of the region	✅
denominazione_regione	Name of the region	✅
codice_provincia	code of the district	✅
denominazione_provincia	district denomination	✅
sigla_provincia	district abbreviation	✅
lat	Latidude	✅
long	Longitude	✅
note	note	✅
totale_positivi	total positives	✅
codice_nuts_1		✅
codice_nuts_2		✅
codice_nuts_3		✅
nuovi_casi	new cases	❌