This HTML5 document contains 152 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
wdthttp://www.wikidata.org/prop/direct/
wdtnhttp://www.wikidata.org/prop/direct-normalized/
n13https://dblp.org/rec/journals/nature/
schemahttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
wikibasehttp://wikiba.se/ontology#
phttp://www.wikidata.org/prop/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n9http://dx.doi.org/10.1038/
n10http://rdf.ncbi.nlm.nih.gov/pubchem/reference/
xsdhhttp://www.w3.org/2001/XMLSchema#
wdshttp://www.wikidata.org/entity/statement/
wdhttp://www.wikidata.org/entity/

Statements

Subject Item
wd:Q94459187
rdf:type
wikibase:Item
schema:description
tudományos cikk научная статья מאמר מדעי мақолаи илмӣ vetenskaplig artikel 2020年学术文章 مقالة علمية نشرت في 29 أبريل 2020 videnskabelig artikel udgivet 29. april 2020 2020年の論文 επιστημονικό άρθρο articolo scientifico article scientific wetenschappelijk artikel scientific article published on 29 April 2020 2020年学术文章 artigo científico 2020年學術文章 vitenskapelig artikkel bilimsel makale vedecký článok 2020年學術文章 artikull shkencor artículu científicu naučni članak artikel ilmiah научни чланак 2020年学术文章 scienca artikolo teaduslik artikkel artykuł naukowy artículo científico publicado en 2020 artigo científico บทความทางวิทยาศาสตร์ articol științific 2020年學術文章 2020年学术文章 wissenschaftlicher Artikel scientific article published on 29 April 2020 научна статия наукова стаття, опублікована у квітні 2020 vědecký článek 2020年學術文章 artikulong pang-agham 2020년 논문 2020年学术文章 tieteellinen artikkeli научни чланак 2020 nî lūn-bûn სამეცნიერო სტატია ২৯ এপ্রিল ২০২০-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ artigo científico article scientifique vitskapeleg artikkel bài báo khoa học 2020年學術文章 2020年学术文章 article científic scientific article published on 29 April 2020
p:P577
wds:Q94459187-DEA8B1F4-5A6C-47EF-A73D-1E763A8ABBBB
wdt:P577
2020-04-29T00:00:00Z
p:P407
wds:Q94459187-8B078442-884A-405A-9F07-5E9A836E5AFA
wdt:P407
wd:Q1860
p:P2860
wds:Q94459187-A8893A05-614D-464E-8B12-480CC947F9BA wds:Q94459187-AE1F2ED9-84E6-4270-98B1-8D388C1E8070 wds:Q94459187-AEC420EB-7136-40B0-8EA9-266AD59D2AD8 wds:Q94459187-9321FD86-0855-41D4-8C6C-E8C6D50331A7 wds:Q94459187-9779F332-326D-432E-B840-4C13B3CB701E wds:Q94459187-9FEFCA71-9440-4638-BAF2-C2BBE00F3B89 wds:Q94459187-A3BDF58E-2775-4F30-8276-254B8D35F353 wds:Q94459187-3509181C-7D3D-4AC4-91AF-6BF1C7B10988 wds:Q94459187-C91243E2-5C84-41A2-8B7B-354DE7B025B9 wds:Q94459187-379F8BC8-262D-4320-BEBA-EBAAA8AC2628 wds:Q94459187-1E6D7115-6D15-46FB-A0D6-A7858C1CED6D wds:Q94459187-DE3BC9B0-0458-4EB2-B824-66FB37A2C08E wds:Q94459187-2CAD7DC6-3534-4475-B903-72EDEE16F7C5 wds:Q94459187-B2426955-822F-48A8-BB3B-F121142DCC7C wds:Q94459187-B829F76D-D428-4998-9D63-AE56414516F4 wds:Q94459187-8E355896-0355-4A43-AD30-C49A533B162D wds:Q94459187-45AD5FD0-D233-4789-8349-4CAF5480FE09 wds:Q94459187-4E78E12B-566F-4902-9FE5-11EEEC5012B0 wds:Q94459187-5AF6D52F-4ACA-416F-A39F-52F6F47B062E wds:Q94459187-624EF33C-22CF-4256-B2F1-23AC2E9BA26C wds:Q94459187-013A2D3B-857B-400D-B9AD-A2955ACA9621 wds:Q94459187-05BF8D59-3F31-4507-A48A-F3330AE89A2F wds:Q94459187-0FB7E6C5-86DE-4D87-81FC-900A0EAC958A wds:Q94459187-EB6F524C-1AA0-41B5-A035-3A6AD87E90C4 wds:Q94459187-F6D663A8-2B8F-45AE-8121-2FB974307CF3 wds:Q94459187-F7BD00B7-487C-4E89-B5EA-6077C06B05F3
wdt:P2860
wd:Q87789617 wd:Q93200400 wd:Q51944895 wd:Q21091104 wd:Q36910711 wd:Q27700189 wd:Q91429042 wd:Q84096797 wd:Q53419364 wd:Q29617921 wd:Q30863896 wd:Q30356804 wd:Q47117738 wd:Q89879512 wd:Q33869166 wd:Q84956787 wd:Q30777118 wd:Q87461585 wd:Q29028332 wd:Q60726515 wd:Q34488226 wd:Q86737473 wd:Q86729469 wd:Q88094851 wd:Q36122939 wd:Q27230870
p:P2093
wds:Q94459187-2EB12C34-2ECC-4157-9699-57A00934CC43
wdt:P2093
Jayson S Jia
rdfs:label
Population flow drives spatio-temporal distribution of COVID-19 in China Population flow drives spatio-temporal distribution of COVID-19 in China
skos:prefLabel
Population flow drives spatio-temporal distribution of COVID-19 in China Population flow drives spatio-temporal distribution of COVID-19 in China
schema:name
Population flow drives spatio-temporal distribution of COVID-19 in China Population flow drives spatio-temporal distribution of COVID-19 in China
p:P50
wds:Q94459187-BB7A6A4F-E52D-40AD-86A4-3B817E7C39F6 wds:Q94459187-CDE0C6F6-912B-4199-A55C-9AA564E14EC2 wds:Q94459187-6776B69F-71A1-4BBF-A34D-B7A566F35CAF wds:Q94459187-807EEDF7-B4B9-450F-9550-6D673BDEE411 wds:Q94459187-24519A88-7061-4D27-B6BC-9E295FC3653F
wdt:P50
wd:Q94459184 wd:Q1094336 wd:Q56801655 wd:Q94459186 wd:Q94459185
p:P1476
wds:Q94459187-3E1FEDE0-DEC2-4621-B6AF-DD954CBF5C6E
wdt:P1476
Population flow drives spatio-temporal distribution of COVID-19 in China
p:P31
wds:Q94459187-C58D102A-42D1-432A-9C51-877BA1C1D63A
wdt:P31
wd:Q13442814
p:P921
wds:Q94459187-CF6EE64C-68A0-40BF-9949-D1B67B230FE4
wdt:P921
wd:Q84263196
p:P698
wds:Q94459187-AA5E0861-D5F0-4AE7-A9E4-7FC6AEB0BABD
wdtn:P698
n10:32349120
wdt:P698
32349120
p:P8978
wds:Q94459187-304E0F35-B15B-4D66-8BF2-8E252B97092D
wdtn:P8978
n13:JiaLYXJC20
wdt:P8978
journals/nature/JiaLYXJC20
p:P1433
wds:Q94459187-AFCEA576-4842-451C-8490-EBD4310887BA
wdt:P1433
wd:Q180445
p:P356
wds:Q94459187-92A16575-4F49-4CB1-B677-E8B2BC466F4F
wdtn:P356
n9:S41586-020-2284-Y
wdt:P356
10.1038/S41586-020-2284-Y
p:P6179
wds:Q94459187-1038E1B5-2F45-4D45-B69C-D0EE7A14F525
wdt:P6179
1127173580