So the data set looks like this: screenshot of the data structure
{
"YearWeekISO": "2020-W53",
"FirstDose": 0,
"FirstDoseRefused": "",
"SecondDose": 0,
"DoseAdditional1": 0,
"DoseAdditional2": 0,
"UnknownDose": 0,
"NumberDosesReceived": 0,
"NumberDosesExported": 0,
"Region": "AT",
"Population": "8901064",
"ReportingCountry": "AT",
"TargetGroup": "ALL",
"Vaccine": "JANSS",
"Denominator": 7388778
}, {
"YearWeekISO": "2020-W53",
"FirstDose": 0,
"FirstDoseRefused": "",
"SecondDose": 0,
"DoseAdditional1": 0,
"DoseAdditional2": 0,
"UnknownDose": 8,
"NumberDosesReceived": 0,
"NumberDosesExported": 0,
"Region": "AT",
"Population": "8901064",
"ReportingCountry": "AT",
"TargetGroup": "ALL",
"Vaccine": "UNK",
"Denominator": 7388778
},
The query parameters will look like :
GET /vaccine-summary?c=AT&dateFrom=2020-W10&dateTo=2020-W53&range=5
where
c, country code to get report for
dateFrom, yyyy-Www, eg. 2020-W10 (Including)
dateTo, yyyy-Www, eg, 2020-W20 (Excluding)
rangeSize, number, eg, the period for which to calculate metrics
After applying the aggregation, you should have a transformed data set that looks like :
{
"summary": [{
"weekStart": "2020-W10",
"weekEnd": "2020-W15",
"NumberDosesReceived": 1000
},
{
"weekStart": "2020-W15",
"weekEnd": "2020-W20"
"NumberDosesReceived": 2000
}, …
till end of range(dateTo)
]
}
}
Notice how the weekStart incremental from 2020-W10 to 2020-W15, similar with weekEnd.
NumberDosesReceived is the sum of NumberDosesReceived fileld within that range