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Baseline Crisis Data and new/updated Data on Crisis Onset
Crisis | Day0 | Country | ISO3 | Baseline | Updates | Creates |
---|---|---|---|---|---|---|
Rohingya | Myanmar | MMR | 54 | 9 | 18 | |
Rohingya | Bangladesh | BGD | 76 | 13 | 38 | |
Irma/Maria | ||||||
Irma/Maria | 16 | |||||
The SQL queries for the Rohingya Crisis MMR and BGD (in the order Baseline, Updates, Creates) are:
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The SQL queries for the the Hurricane Irma Crisis () (in the order Baseline, Updates, Creates) are:
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The SQL queries for the the Hurricane Maria Crisis () (and Maria Crises combined with affected countries taken from https://reliefweb.int/disaster/tc-2017-000125-dom and https://reliefweb.int/disaster/tc-2017-000136-atg (in the order Baseline, Updates, Creates) are:
select b.name, a.last_modified, b.location from dbdatasets a, dbinfodatasets b, dbruns c where a.id = b.id and a.run_number = c.run_number and b.location like '%%' and a.update_frequency != -1 and date(c.run_date) = '2017-09-1502' and a.last_modified > '2016-03-1502' order by a.last_modified;
with baseline as
(select a.id, b.name from dbdatasets a, dbinfodatasets b, dbruns c where a.id = b.id and a.run_number = c.run_number and b.location like '%%' and a.update_frequency != -1 and date(c.run_date) = '2017-09-1502' and a.last_modified > '2016-03-1502')
select e.name, max(d.last_modified) as last_modified from dbdatasets d, baseline e where d.id=e.id and d.last_modified > '2017-09-1603' group by e.name;
select e.name, max(d.last_modified) as last_modified from dbdatasets d, dbinfodatasets e where e.location like '%%' and d.update_frequency != -1 and d.id not in (select a.id from dbdatasets a, dbinfodatasets b, dbruns c where a.id = b.id and
a.run_number = c.run_number and b.location like '%%' and a.update_frequency != -1 and date(c.run_date) = '2017-09-1502' and a.last_modified > '2016-03-1502') and d.id=e.id and d.last_modified > '2017-09-1603' group by e.name;