As of 2022-03-07, the Wikidata property number of hospitalized cases (P8049) is used on 36 items as main value on statements (not counting qualifiers) of the Q and P namespaces.

Closest properties: by cardinality of intersection, by Jaccard index.

Display properties of the following types:                                    

Closest properties by cardinality of intersection

IDLabelIntersection cardinalityJaccard index
P17 country 36
 0.0000
P31 instance of 36
 0.0000
P1120 number of deaths 35
 0.0029
P276 location 35
 0.0000
P1603 number of cases 33
 0.0225
P361 part of 33
 0.0000
P625 coordinate location 31
 0.0000
P8204 tabular case data 30
 0.0064
P580 start time 26
 0.0000
P373 Commons category 26
 0.0000
P8011 number of medical tests 21
 0.1469
P828 has cause 20
 0.0026
P8010 number of recoveries 18
 0.0264
P1846 distribution map 18
 0.0159
P8045 organized response related to outbreak 17
 0.0605
P527 has part or parts 15
 0.0000
P3457 case fatality rate 13
 0.0243
P18 image 11
 0.0000
P3984 subreddit 8
 0.0007
P973 described at URL 8
 0.0000
P910 topic's main category 8
 0.0000
P1660 has index case 4
 0.0702
P2572 hashtag 4
 0.0009
P2671 Google Knowledge Graph ID 4
 0.0000
P1542 has effect 3
 0.0007
P7153 significant place 3
 0.0003
P1269 facet of 3
 0.0000
P585 point in time 3
 0.0000
P1339 number of injured 2
 0.0005
P856 official website 2
 0.0000
P3492 basic reproduction number 1
 0.0238
P9107 number of vaccinations 1
 0.0152
P3886 number of perpetrators 1
 0.0026
P8032 victim 1
 0.0018
P3479 Omni topic ID 1
 0.0010
P5737 Chinese Moegirlpedia ID 1
 0.0007
P6228 RegiowikiAT ID 1
 0.0001
P1114 quantity 1
 0.0001
P181 taxon range map image 1
 0.0001
P1424 topic's main template 1
 0.0001
P2003 Instagram username 1
 0.0000
P8687 social media followers 1
 0.0000
P2002 Twitter username 1
 0.0000
P5008 on focus list of Wikimedia project 1
 0.0000
P1343 described by source 1
 0.0000

Closest properties by Jaccard index

IDLabelIntersection cardinalityJaccard index
P8011 number of medical tests 21
 0.1469
P1660 has index case 4
 0.0702
P8045 organized response related to outbreak 17
 0.0605
P8010 number of recoveries 18
 0.0264
P3457 case fatality rate 13
 0.0243
P3492 basic reproduction number 1
 0.0238
P1603 number of cases 33
 0.0225
P1846 distribution map 18
 0.0159
P9107 number of vaccinations 1
 0.0152
P8204 tabular case data 30
 0.0064
P1120 number of deaths 35
 0.0029
P828 has cause 20
 0.0026
P3886 number of perpetrators 1
 0.0026
P8032 victim 1
 0.0018
P3479 Omni topic ID 1
 0.0010
P2572 hashtag 4
 0.0009
P1542 has effect 3
 0.0007
P3984 subreddit 8
 0.0007
P5737 Chinese Moegirlpedia ID 1
 0.0007
P1339 number of injured 2
 0.0005
P7153 significant place 3
 0.0003
P6228 RegiowikiAT ID 1
 0.0001
P1114 quantity 1
 0.0001
P181 taxon range map image 1
 0.0001
P1424 topic's main template 1
 0.0001
P580 start time 26
 0.0000
P1269 facet of 3
 0.0000
P527 has part or parts 15
 0.0000
P276 location 35
 0.0000
P973 described at URL 8
 0.0000
P910 topic's main category 8
 0.0000
P361 part of 33
 0.0000
P373 Commons category 26
 0.0000
P2003 Instagram username 1
 0.0000
P8687 social media followers 1
 0.0000
P585 point in time 3
 0.0000
P625 coordinate location 31
 0.0000
P2002 Twitter username 1
 0.0000
P18 image 11
 0.0000
P17 country 36
 0.0000
P5008 on focus list of Wikimedia project 1
 0.0000
P1343 described by source 1
 0.0000
P856 official website 2
 0.0000
P2671 Google Knowledge Graph ID 4
 0.0000
P31 instance of 36
 0.0000