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Baseline Crisis Data and new/updated Data on Crisis Onset


CrisisDay0
Country
CountriesISO3BaselineUpdatesCreates
Rohingya Myanmar, BangladeshMMR, BGD
54
98
9Irma
18
Rohingya BGD761338
35
Irma/Maria 
Maria 
Anguilla, Antigua and Barbuda, Barbados, Bahamas, Bonaire, Saint Eustatius and Saba (The Netherlands), British Virgin Islands, Cuba, Dominica, Dominican Republic, Guadeloupe (France), Haiti, Martinique (France), Montserrat, Puerto Rico (The United States of America), Saint Barthélemy (France), Saint Kitts and Nevis, Saint Lucia, Saint Martin (France), Saint Vincent and the Grenadines, Sint Maarten (The Netherlands), Turks and Caicos Islands, United States Virgin IslandsAIA, ATG, BHS, BRB, BES, VGB, CUB, DMA, DOM, GLP, HTI, MTQ, MSR, PRI, BLM, KNA, LCA, MAF, VCT, SXM, TCA, VIR19671114

The SQL queries for the Rohingya Crisis MMR and BGD (in the order Baseline, Number of Updates, List of Updates, Number of Creates, List of 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~* '%mmr%mmr|bgd' and a.update_frequency != -1 and date(c.run_date) = '2017-08-24' and a.last_modified > '2016-02-24' 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~* '%mmr%mmr|bgd' and a.update_frequency != -1 and date(c.run_date) = '2017-08-24' and a.last_modified > '2016-02-24')
select e.name, maxmin(d.last_modified) as last_modified from dbdatasets d, baseline e where d.id = e.id and d.last_modified > '2017-08-24' and d.last_modified < '2017-11-25' group by e.name;

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 ~* 'mmr|bgd' and a.update_frequency != -1 and date(c.run_date) = '2017-08-24' and a.last_modified > '2016-02-24')
select distinct e.name, d.last_modified from dbdatasets d, baseline e where d.id = e.id and d.last_modified > '2017-08-24' and d.last_modified < '2017-11-25' order by e.name, d.last_modified;

select e.name, maxmin(d.last_modified) as last_modified from dbdatasets d, dbinfodatasets e where e.location like~* '%mmr%mmr|bgd' and d.update_frequency != -1 and d.id not in (select distinct 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 '%mmr%.location ~* 'mmr|bgd' and c.run_date < '2017-08-25') and d.id = e.id and d.last_modified > '2017-08-24' and d.last_modified < '2017-11-25' group by e.name;
select distinct e.name, d.last_modified from dbdatasets d, dbinfodatasets e where e.location ~* 'mmr|bgd' and ad.update_frequency != -1 and date(c.run_date) = '2017-08-24d.id not in (select distinct a.id from dbdatasets a, dbinfodatasets b, dbruns c where a.id = b.id and 
a.run_number = c.run_number and b.location ~* 'mmr|bgd' and ac.lastrun_modifieddate >< '20162017-0208-2425') and d.id = e.id and d.last_modified > '2017-08-24' and d.last_modified < '2017-11-25' grouporder by e.name, d.last_modified;


The SQL queries for the the Hurricane Irma 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 '%%~* 'aia|atg|bhs|brb|bes|vgb|cub|dma|dom|glp|hti|mtq|msr|pri|blm|kna|lca|maf|vct|sxm|tca|vir' and a.update_frequency != -1 and date(c.run_date) = '2017-09-02' and a.last_modified > '2016-03-02' 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 '%%~* 'aia|atg|bhs|brb|bes|vgb|cub|dma|dom|glp|hti|mtq|msr|pri|blm|kna|lca|maf|vct|sxm|tca|vir' and a.update_frequency != -1 and date(c.run_date) = '2017-09-02' and a.last_modified > '2016-03-02')
select e.name, maxmin(d.last_modified) as last_modified from dbdatasets d, baseline e where d.id = e.id and d.last_modified > '2017-09-0302' group by e.name;
select e.name, max(and 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 < '2017-12-03' group by e.name;

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 '%%~* 'aia|atg|bhs|brb|bes|vgb|cub|dma|dom|glp|hti|mtq|msr|pri|blm|kna|lca|maf|vct|sxm|tca|vir' and a.update_frequency != -1 and date(c.run_date) = '2017-09-02' and a.last_modified > '2016-03-02') and
select distinct e.name, d.last_modified from dbdatasets d, baseline e where d.id = e.id and d.last_modified > '2017-09-02' and d.last_modified < '2017-12-03' grouporder by e.name;

The SQL queries for the the Hurricane Maria Crisis () (in the order Baseline, Updates, Creates) are:

select b, d.last_modified;

select e.name, amin(d.last_modified, b.location) as last_modified from dbdatasets ad, dbinfodatasets b, dbruns ce where a.id = b.id and a.run_number = c.run_number and be.location like '%%~* 'aia|atg|bhs|brb|bes|vgb|cub|dma|dom|glp|hti|mtq|msr|pri|blm|kna|lca|maf|vct|sxm|tca|vir' and ad.update_frequency != -1 and date(c.run_date) = '2017-09-15' and a.last_modified > '2016-03-15' order by a.last_modified;
with baseline as
(selectd.id not in (select distinct 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(~* 'aia|atg|bhs|brb|bes|vgb|cub|dma|dom|glp|hti|mtq|msr|pri|blm|kna|lca|maf|vct|sxm|tca|vir' and c.run_date) =< '2017-09-1503') and ad.last_modified > '2016-03-15')
selectid = e.name, max(id and d.last_modified) as last_modified from dbdatasets d, baseline e where d.id=e.id > '2017-09-02' and d.last_modified >< '2017-0912-1603' group by e.name;

select distinct e.name, max(d.last_modified) as last_modified from dbdatasets d, dbinfodatasets e where e.location like '%%~* 'aia|atg|bhs|brb|bes|vgb|cub|dma|dom|glp|hti|mtq|msr|pri|blm|kna|lca|maf|vct|sxm|tca|vir' and d.update_frequency != -1 and d.id not in (select distinct 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(~* 'aia|atg|bhs|brb|bes|vgb|cub|dma|dom|glp|hti|mtq|msr|pri|blm|kna|lca|maf|vct|sxm|tca|vir' and c.run_date) =< '2017-09-15'03') and d.id = e.id and ad.last_modified > '20162017-0309-15') and d.id=e.id02' and d.last_modified >< '2017-0912-1603' grouporder by e.name, d.last_modified;