A simplified COVID-19 infection impact estimator api
This is an eligibility assessment for the 2020 #BuildforSDG program
The assessment empowers me to attempt helping society and leaders prepare for the real big problem of COVID-19, which is its impact on lives, health systems, supply chains, and the economy:
- Too many patients, not enough hospitals and beds. A serious shortage of ventilators, masks and other PPE - if we don’t practice social distancing.
- Job losses or freezes, low cash flow and low production (even for essentials like food). These and more from too many people being sick, a sizable number dying (including some of the best people in many fields), and many others affected by the impact of losing loved ones or a world operating in slow motion
/api/v1/on-covid-19
take the input data and return the estimation for
it in JSON format. an example is:
{
"data": {
"region": {
"name": "Africa",
"avgAge": 19.7,
"avgDailyIncomeInUSD": 5,
"avgDailyIncomePopulation": 0.71
},
"periodType": "days",
"timeToElapse": 58,
"reportedCases": 674,
"population": 66622705,
"totalHospitalBeds": 1380614
},
"impact": {
"currentlyInfected": 6740,
"infectionsByRequestedTime": 3533701120,
"severeCasesByRequestedTime": 530055168,
"hospitalBedsByRequestedTime": -529571954,
"casesForICUByRequestedTime": 176685056,
"casesForVentilatorsByRequestedTime": 70674022,
"dollarsInFlight": 216286878
},
"severeImpact": {
"currentlyInfected": 33700,
"infectionsByRequestedTime": 17668505600,
"severeCasesByRequestedTime": 2650275840,
"hospitalBedsByRequestedTime": -2649792626,
"casesForICUByRequestedTime": 883425280,
"casesForVentilatorsByRequestedTime": 353370112,
"dollarsInFlight": 1081434394
}
}
/api/v1/on-covid-19/json
This returns the same result as the above.
/api/v1/on-covid-19/xml
This is somehow similar but returns a xml data format. Example below
<data>
<region>
<name>Africa</name>
<avgAge>19.7</avgAge>
<avgDailyIncomeInUSD>5</avgDailyIncomeInUSD>
<avgDailyIncomePopulation>0.71</avgDailyIncomePopulation>
</region>
<periodType>days</periodType>
<timeToElapse>58</timeToElapse>
<reportedCases>674</reportedCases>
<population>66622705</population>
<totalHospitalBeds>1380614</totalHospitalBeds>
</data>
<impact>
<currentlyInfected>6740</currentlyInfected>
<infectionsByRequestedTime>3533701120</infectionsByRequestedTime>
<severeCasesByRequestedTime>530055168</severeCasesByRequestedTime>
<hospitalBedsByRequestedTime>-529571954</hospitalBedsByRequestedTime>
<casesForICUByRequestedTime>176685056</casesForICUByRequestedTime>
<casesForVentilatorsByRequestedTime>70674022</casesForVentilatorsByRequestedTime>
<dollarsInFlight>216286878</dollarsInFlight>
</impact>
<severeImpact>
<currentlyInfected>33700</currentlyInfected>
<infectionsByRequestedTime>17668505600</infectionsByRequestedTime>
<severeCasesByRequestedTime>2650275840</severeCasesByRequestedTime>
<hospitalBedsByRequestedTime>-2649792626</hospitalBedsByRequestedTime>
<casesForICUByRequestedTime>883425280</casesForICUByRequestedTime>
<casesForVentilatorsByRequestedTime>353370112</casesForVentilatorsByRequestedTime>
<dollarsInFlight>1081434394</dollarsInFlight>
</severeImpact>
/api/v1/on-covid-19/logs
End at last this gets the logs and return them in text form. Example returned data:
POST /api/v1/on-covid-19/ 200 4.230 ms
POST /api/v1/on-covid-19/ 200 0.832 ms
POST /api/v1/on-covid-19/xml 200 3.718 ms
POST /api/v1/on-covid-19/json 200 0.665 ms
POST /api/v1/on-covid-19/json 200 0.481 ms
GET /api/v1/on-covid-19/logs 200 2.829 ms
POST /api/v1/on-covid-19 200 3.856 ms
POST /api/v1/on-covid-19/json 200 1.260 ms
POST /api/v1/on-covid-19/xml 200 1.471 ms
GET /api/v1/on-covid-19/logs 200 6.546 ms
POST /api/v1/on-covid-19/ 200 6.861 ms
POST /api/v1/on-covid-19/xml 200 3.831 ms