Clusters of COVID‐19 in long‐term care hospitals and facilities in Japan from 16 January to 9 May 2020
Aim To clarify the association of cluster number and size of coronavirus disease 2019 (COVID‐19) in long‐term care (LTC) hospitals/facilities, general medical/welfare facilities and non‐medical/welfare facilities with morbidity and mortality in 47 prefectures during 16 January to 9 May 2020 in Japan...
Saved in:
| Published in | Geriatrics & gerontology international Vol. 20; no. 7; pp. 715 - 719 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Kyoto, Japan
John Wiley & Sons Australia, Ltd
01.07.2020
Blackwell Publishing Ltd Wiley-Blackwell |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1444-1586 1447-0594 1447-0594 |
| DOI | 10.1111/ggi.13973 |
Cover
| Abstract | Aim
To clarify the association of cluster number and size of coronavirus disease 2019 (COVID‐19) in long‐term care (LTC) hospitals/facilities, general medical/welfare facilities and non‐medical/welfare facilities with morbidity and mortality in 47 prefectures during 16 January to 9 May 2020 in Japan.
Methods
Information on COVID‐19 clusters (n ≥2), and morbidity and mortality of COVID‐19 was collected.
Results
A total of 381 clusters with 3786 infected cases were collected, accounting for 23.9% of 15 852 cumulated cases on 9 May 2020. Although the cluster number (/107 subjects) in LTC hospitals/facilities was significantly smaller compared with those in the other two groups, the cluster size in LTC hospitals/facilities was significantly larger than that in non‐medical/welfare facilities. Cluster numbers in general medical/welfare facilities and in non‐medical/welfare facilities were significantly positively correlated with morbidity (/105), indicating relatively early identification of clusters in these facilities. Unlike in these facilities, cluster size in LTC hospitals/facilities was significantly positively correlated with morbidity, indicating that clusters in LTC hospitals/facilities were finally identified after already having grown to a large size in areas where infection was prevalent. Multivariate logistic regression analysis showed that both cluster number and cluster size only in LTC hospitals/facilities were independently associated with higher mortality (≥median 0.64/105 subjects) after adjustment.
Conclusions
Preventive efforts against COVID‐19 outbreaks even at the early phase of the epidemic are critically important in LTC hospitals/facilities, as both the larger number and size of clusters only in LTC hospitals/facilities were independently linked to higher mortality in prefectures in Japan. Geriatr Gerontol Int 2020; 20: 715–719. |
|---|---|
| AbstractList | AimTo clarify the association of cluster number and size of coronavirus disease 2019 (COVID‐19) in long‐term care (LTC) hospitals/facilities, general medical/welfare facilities and non‐medical/welfare facilities with morbidity and mortality in 47 prefectures during 16 January to 9 May 2020 in Japan.MethodsInformation on COVID‐19 clusters (n ≥2), and morbidity and mortality of COVID‐19 was collected.ResultsA total of 381 clusters with 3786 infected cases were collected, accounting for 23.9% of 15 852 cumulated cases on 9 May 2020. Although the cluster number (/107 subjects) in LTC hospitals/facilities was significantly smaller compared with those in the other two groups, the cluster size in LTC hospitals/facilities was significantly larger than that in non‐medical/welfare facilities. Cluster numbers in general medical/welfare facilities and in non‐medical/welfare facilities were significantly positively correlated with morbidity (/105), indicating relatively early identification of clusters in these facilities. Unlike in these facilities, cluster size in LTC hospitals/facilities was significantly positively correlated with morbidity, indicating that clusters in LTC hospitals/facilities were finally identified after already having grown to a large size in areas where infection was prevalent. Multivariate logistic regression analysis showed that both cluster number and cluster size only in LTC hospitals/facilities were independently associated with higher mortality (≥median 0.64/105 subjects) after adjustment.ConclusionsPreventive efforts against COVID‐19 outbreaks even at the early phase of the epidemic are critically important in LTC hospitals/facilities, as both the larger number and size of clusters only in LTC hospitals/facilities were independently linked to higher mortality in prefectures in Japan. Geriatr Gerontol Int 2020; 20: 715–719. Aim To clarify the association of cluster number and size of coronavirus disease 2019 (COVID‐19) in long‐term care (LTC) hospitals/facilities, general medical/welfare facilities and non‐medical/welfare facilities with morbidity and mortality in 47 prefectures during 16 January to 9 May 2020 in Japan. Methods Information on COVID‐19 clusters ( n ≥2), and morbidity and mortality of COVID‐19 was collected. Results A total of 381 clusters with 3786 infected cases were collected, accounting for 23.9% of 15 852 cumulated cases on 9 May 2020. Although the cluster number (/10 7 subjects) in LTC hospitals/facilities was significantly smaller compared with those in the other two groups, the cluster size in LTC hospitals/facilities was significantly larger than that in non‐medical/welfare facilities. Cluster numbers in general medical/welfare facilities and in non‐medical/welfare facilities were significantly positively correlated with morbidity (/10 5 ), indicating relatively early identification of clusters in these facilities. Unlike in these facilities, cluster size in LTC hospitals/facilities was significantly positively correlated with morbidity, indicating that clusters in LTC hospitals/facilities were finally identified after already having grown to a large size in areas where infection was prevalent. Multivariate logistic regression analysis showed that both cluster number and cluster size only in LTC hospitals/facilities were independently associated with higher mortality (≥median 0.64/10 5 subjects) after adjustment. Conclusions Preventive efforts against COVID‐19 outbreaks even at the early phase of the epidemic are critically important in LTC hospitals/facilities, as both the larger number and size of clusters only in LTC hospitals/facilities were independently linked to higher mortality in prefectures in Japan. Geriatr Gerontol Int 2020; 20: 715–719 . Aim To clarify the association of cluster number and size of coronavirus disease 2019 (COVID‐19) in long‐term care (LTC) hospitals/facilities, general medical/welfare facilities and non‐medical/welfare facilities with morbidity and mortality in 47 prefectures during 16 January to 9 May 2020 in Japan. Methods Information on COVID‐19 clusters (n ≥2), and morbidity and mortality of COVID‐19 was collected. Results A total of 381 clusters with 3786 infected cases were collected, accounting for 23.9% of 15 852 cumulated cases on 9 May 2020. Although the cluster number (/107 subjects) in LTC hospitals/facilities was significantly smaller compared with those in the other two groups, the cluster size in LTC hospitals/facilities was significantly larger than that in non‐medical/welfare facilities. Cluster numbers in general medical/welfare facilities and in non‐medical/welfare facilities were significantly positively correlated with morbidity (/105), indicating relatively early identification of clusters in these facilities. Unlike in these facilities, cluster size in LTC hospitals/facilities was significantly positively correlated with morbidity, indicating that clusters in LTC hospitals/facilities were finally identified after already having grown to a large size in areas where infection was prevalent. Multivariate logistic regression analysis showed that both cluster number and cluster size only in LTC hospitals/facilities were independently associated with higher mortality (≥median 0.64/105 subjects) after adjustment. Conclusions Preventive efforts against COVID‐19 outbreaks even at the early phase of the epidemic are critically important in LTC hospitals/facilities, as both the larger number and size of clusters only in LTC hospitals/facilities were independently linked to higher mortality in prefectures in Japan. Geriatr Gerontol Int 2020; 20: 715–719. To clarify the association of cluster number and size of coronavirus disease 2019 (COVID-19) in long-term care (LTC) hospitals/facilities, general medical/welfare facilities and non-medical/welfare facilities with morbidity and mortality in 47 prefectures during 16 January to 9 May 2020 in Japan. Information on COVID-19 clusters (n ≥2), and morbidity and mortality of COVID-19 was collected. A total of 381 clusters with 3786 infected cases were collected, accounting for 23.9% of 15 852 cumulated cases on 9 May 2020. Although the cluster number (/10 subjects) in LTC hospitals/facilities was significantly smaller compared with those in the other two groups, the cluster size in LTC hospitals/facilities was significantly larger than that in non-medical/welfare facilities. Cluster numbers in general medical/welfare facilities and in non-medical/welfare facilities were significantly positively correlated with morbidity (/10 ), indicating relatively early identification of clusters in these facilities. Unlike in these facilities, cluster size in LTC hospitals/facilities was significantly positively correlated with morbidity, indicating that clusters in LTC hospitals/facilities were finally identified after already having grown to a large size in areas where infection was prevalent. Multivariate logistic regression analysis showed that both cluster number and cluster size only in LTC hospitals/facilities were independently associated with higher mortality (≥median 0.64/10 subjects) after adjustment. Preventive efforts against COVID-19 outbreaks even at the early phase of the epidemic are critically important in LTC hospitals/facilities, as both the larger number and size of clusters only in LTC hospitals/facilities were independently linked to higher mortality in prefectures in Japan. Geriatr Gerontol Int 2020; 20: 715-719. To clarify the association of cluster number and size of coronavirus disease 2019 (COVID-19) in long-term care (LTC) hospitals/facilities, general medical/welfare facilities and non-medical/welfare facilities with morbidity and mortality in 47 prefectures during 16 January to 9 May 2020 in Japan.AIMTo clarify the association of cluster number and size of coronavirus disease 2019 (COVID-19) in long-term care (LTC) hospitals/facilities, general medical/welfare facilities and non-medical/welfare facilities with morbidity and mortality in 47 prefectures during 16 January to 9 May 2020 in Japan.Information on COVID-19 clusters (n ≥2), and morbidity and mortality of COVID-19 was collected.METHODSInformation on COVID-19 clusters (n ≥2), and morbidity and mortality of COVID-19 was collected.A total of 381 clusters with 3786 infected cases were collected, accounting for 23.9% of 15 852 cumulated cases on 9 May 2020. Although the cluster number (/107 subjects) in LTC hospitals/facilities was significantly smaller compared with those in the other two groups, the cluster size in LTC hospitals/facilities was significantly larger than that in non-medical/welfare facilities. Cluster numbers in general medical/welfare facilities and in non-medical/welfare facilities were significantly positively correlated with morbidity (/105 ), indicating relatively early identification of clusters in these facilities. Unlike in these facilities, cluster size in LTC hospitals/facilities was significantly positively correlated with morbidity, indicating that clusters in LTC hospitals/facilities were finally identified after already having grown to a large size in areas where infection was prevalent. Multivariate logistic regression analysis showed that both cluster number and cluster size only in LTC hospitals/facilities were independently associated with higher mortality (≥median 0.64/105 subjects) after adjustment.RESULTSA total of 381 clusters with 3786 infected cases were collected, accounting for 23.9% of 15 852 cumulated cases on 9 May 2020. Although the cluster number (/107 subjects) in LTC hospitals/facilities was significantly smaller compared with those in the other two groups, the cluster size in LTC hospitals/facilities was significantly larger than that in non-medical/welfare facilities. Cluster numbers in general medical/welfare facilities and in non-medical/welfare facilities were significantly positively correlated with morbidity (/105 ), indicating relatively early identification of clusters in these facilities. Unlike in these facilities, cluster size in LTC hospitals/facilities was significantly positively correlated with morbidity, indicating that clusters in LTC hospitals/facilities were finally identified after already having grown to a large size in areas where infection was prevalent. Multivariate logistic regression analysis showed that both cluster number and cluster size only in LTC hospitals/facilities were independently associated with higher mortality (≥median 0.64/105 subjects) after adjustment.Preventive efforts against COVID-19 outbreaks even at the early phase of the epidemic are critically important in LTC hospitals/facilities, as both the larger number and size of clusters only in LTC hospitals/facilities were independently linked to higher mortality in prefectures in Japan. Geriatr Gerontol Int 2020; 20: 715-719.CONCLUSIONSPreventive efforts against COVID-19 outbreaks even at the early phase of the epidemic are critically important in LTC hospitals/facilities, as both the larger number and size of clusters only in LTC hospitals/facilities were independently linked to higher mortality in prefectures in Japan. Geriatr Gerontol Int 2020; 20: 715-719. |
| Author | Iritani, Osamu Maeno, Norie Kane, Asami Hama, Daisuke Terai, Toshio Okuno, Tazuo Morimoto, Shigeto Kodera, Kumie Morigaki, Kozue |
| AuthorAffiliation | 1 Center for Comprehensive Care on Memory Disorders Kanazawa Medical University Uchinada Japan |
| AuthorAffiliation_xml | – name: 1 Center for Comprehensive Care on Memory Disorders Kanazawa Medical University Uchinada Japan |
| Author_xml | – sequence: 1 givenname: Osamu surname: Iritani fullname: Iritani, Osamu organization: Kanazawa Medical University – sequence: 2 givenname: Tazuo surname: Okuno fullname: Okuno, Tazuo organization: Kanazawa Medical University – sequence: 3 givenname: Daisuke surname: Hama fullname: Hama, Daisuke organization: Kanazawa Medical University – sequence: 4 givenname: Asami surname: Kane fullname: Kane, Asami organization: Kanazawa Medical University – sequence: 5 givenname: Kumie surname: Kodera fullname: Kodera, Kumie organization: Kanazawa Medical University – sequence: 6 givenname: Kozue surname: Morigaki fullname: Morigaki, Kozue organization: Kanazawa Medical University – sequence: 7 givenname: Toshio surname: Terai fullname: Terai, Toshio organization: Kanazawa Medical University – sequence: 8 givenname: Norie surname: Maeno fullname: Maeno, Norie organization: Kanazawa Medical University – sequence: 9 givenname: Shigeto orcidid: 0000-0002-8599-8257 surname: Morimoto fullname: Morimoto, Shigeto email: shigeto@kanazawa-med.ac.jp organization: Kanazawa Medical University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32634849$$D View this record in MEDLINE/PubMed https://www.osti.gov/biblio/1640242$$D View this record in Osti.gov |
| BookMark | eNp9kcluFDEQhi0URBY48ALIggsgdeK1lwsSGmAYFJQLcLXcbveMR267Y7uJ5sYj8Iw8CZ502CIRy5Jdqu8vV_0-BgfOOw3AY4xOcV5n67U5xbSp6D1whBmrCsQbdnB9ZwXmdXkIjmPcIoSrBuMH4JCSkrKaNUdgu7BTTDpE6Hu4uPiyevPj23fcQOOg9W6dg5wcoJJBw42Po0nSRihdB3upjDXJ6LiHP8hROtgHP0Bc5shNMuxg8rCBH-UOEkTQQ3C_z2L96OY8AZ_fvf20eF-cXyxXi9fnhWIVp4WqO9JKXErV8VoSTVHbkjwE41KzsqNN13UV5px1lLCeoLxbVRKMNatRIyt6Al7OdSc3yt2VtFaMwQy5H4GR2BsmsmHi2rAMv5rhcWoH3SntUpB_BF4a8W_GmY1Y-6-ioiXmBOcCT-cCPiYjojJJq43yzmmVBC4ZIoxk6PnNK8FfTjomMZiotLXSaT9FkRnMeE0qltFnt9Ctn4LLhu0pzjFFZZOpJ3-3_bvfXx-bgRczoIKPMej-Tg_ObrF5CpmM309s7F2KK2P17v-lxXK5mhU_AWcr0EA |
| CitedBy_id | crossref_primary_10_2196_32442 crossref_primary_10_11150_kansenshogakuzasshi_96_245 crossref_primary_10_4235_agmr_21_0108 crossref_primary_10_1177_17571774211033356 crossref_primary_10_1186_s12916_020_01866_6 crossref_primary_10_3390_ijerph19148634 crossref_primary_10_1016_j_jamda_2021_07_027 crossref_primary_10_1111_ggi_14396 crossref_primary_10_4058_jsei_36_98 crossref_primary_10_1016_j_glohj_2020_11_005 crossref_primary_10_1016_j_idh_2022_05_006 crossref_primary_10_1007_s41999_021_00531_2 crossref_primary_10_3390_bios12100824 crossref_primary_10_1038_s41598_024_73004_8 crossref_primary_10_3390_ijerph20206926 crossref_primary_10_1111_ggi_14377 crossref_primary_10_3390_vaccines9101160 crossref_primary_10_1038_s41598_021_91992_9 crossref_primary_10_4044_joma_134_86 crossref_primary_10_1016_j_resinv_2022_04_007 crossref_primary_10_1016_j_ijdrr_2023_103995 crossref_primary_10_1016_j_vaccine_2023_02_068 crossref_primary_10_1111_ggi_70028 crossref_primary_10_1111_nhs_12900 crossref_primary_10_3233_JAD_201513 crossref_primary_10_1111_ggi_14461 crossref_primary_10_3390_vaccines10050774 crossref_primary_10_3390_v14112581 crossref_primary_10_1136_bmjopen_2020_047012 crossref_primary_10_1017_ash_2021_255 crossref_primary_10_1017_ice_2022_289 crossref_primary_10_1007_s41999_023_00793_y crossref_primary_10_35772_ghm_2022_01015 crossref_primary_10_3390_ijerph17165813 crossref_primary_10_7883_yoken_JJID_2023_210 crossref_primary_10_3389_fpubh_2022_1010124 crossref_primary_10_1111_ggi_14207 crossref_primary_10_1016_j_jamda_2023_08_009 |
| Cites_doi | 10.3947/ic.2020.52.2.133 10.1111/jgs.16445 10.15585/mmwr.mm6921e1 10.15585/mmwr.mm6912e2 10.1056/NEJMoa2005412 |
| ContentType | Journal Article |
| Copyright | 2020 Japan Geriatrics Society 2020 Japan Geriatrics Society. |
| Copyright_xml | – notice: 2020 Japan Geriatrics Society – notice: 2020 Japan Geriatrics Society. |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM K9. 7X8 OTOTI 5PM ADTOC UNPAY |
| DOI | 10.1111/ggi.13973 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic OSTI.GOV PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic |
| DatabaseTitleList | ProQuest Health & Medical Complete (Alumni) MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| DocumentTitleAlternate | COVID‐19 clusters in LTC facilities |
| EISSN | 1447-0594 |
| EndPage | 719 |
| ExternalDocumentID | 10.1111/ggi.13973 PMC7361521 1640242 32634849 10_1111_ggi_13973 GGI13973 |
| Genre | article Journal Article |
| GeographicLocations | Japan |
| GeographicLocations_xml | – name: Japan |
| GrantInformation_xml | – fundername: Research and Development funderid: 16dk0207027h0003 – fundername: Japan Agency for Medical Research and Development – fundername: Research and Development grantid: 16dk0207027h0003 – fundername: ; – fundername: ; grantid: 16dk0207027h0003 |
| GroupedDBID | --- .3N .55 .GA .Y3 05W 0R~ 10A 1OC 29H 31~ 33P 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52R 52S 52T 52U 52V 52W 52X 53G 5GY 5HH 5LA 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A01 A03 AAESR AAEVG AAHHS AAHQN AAIPD AAMNL AANHP AANLZ AAONW AASGY AAWTL AAXRX AAYCA AAZKR ABCQN ABCUV ABEML ABIVO ABJNI ABPVW ABQWH ABXGK ACAHQ ACBWZ ACCFJ ACCZN ACGFS ACGOF ACHQT ACMXC ACPOU ACRPL ACSCC ACXBN ACXQS ACYXJ ADBBV ADBTR ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN ADZOD AEEZP AEIGN AEIMD AENEX AEQDE AEUQT AEUYR AFBPY AFEBI AFFPM AFGKR AFPWT AFWVQ AFZJQ AHBTC AHMBA AIACR AITYG AIURR AIWBW AJBDE ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ASPBG ATUGU AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMXJE BROTX BRXPI BY8 C45 CAG COF CS3 D-6 D-7 D-E D-F DCZOG DPXWK DR2 DRFUL DRMAN DRSTM DU5 EBS EJD EMOBN ESX EX3 F00 F01 F04 F5P FEDTE FUBAC G-S G.N GODZA H.X HF~ HGLYW HVGLF HZI HZ~ IHE IX1 J0M K48 KBYEO LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRMAN MRSTM MSFUL MSMAN MSSTM MXFUL MXMAN MXSTM N04 N05 N9A NF~ O66 O9- OIG OVD P2P P2W P2X P2Z P4B P4D PQQKQ Q.N Q11 QB0 R.K ROL RX1 SUPJJ TEORI UB1 W8V W99 WBKPD WHWMO WIH WIJ WIK WOHZO WOW WQJ WRC WVDHM WXI WXSBR X7M XG1 ZZTAW ~IA ~WT AAMMB AAYXX AEFGJ AGHNM AGQPQ AGXDD AGYGG AIDQK AIDYY CITATION CGR CUY CVF ECM EIF NPM K9. 7X8 AAVGM ABHUG ABIQD ABPTK ACXME ADAWD ADDAD AFVGU AGJLS AKALU OTOTI 5PM ADTOC UNPAY |
| ID | FETCH-LOGICAL-c4753-c8d2ba16acd58a2e30bb215845ae46d39ddd71554d324f20f20bc6211e4809a73 |
| IEDL.DBID | UNPAY |
| ISSN | 1444-1586 1447-0594 |
| IngestDate | Sun Oct 26 02:53:03 EDT 2025 Thu Aug 21 13:55:13 EDT 2025 Mon Sep 11 05:25:35 EDT 2023 Fri Jul 11 00:07:39 EDT 2025 Fri Oct 03 06:50:31 EDT 2025 Mon Jul 21 05:44:07 EDT 2025 Thu Apr 24 23:05:17 EDT 2025 Wed Oct 01 02:34:53 EDT 2025 Wed Jan 22 16:32:47 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7 |
| Keywords | COVID-19 mortality cluster long-term care facility morbidity |
| Language | English |
| License | 2020 Japan Geriatrics Society. This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c4753-c8d2ba16acd58a2e30bb215845ae46d39ddd71554d324f20f20bc6211e4809a73 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 USDOE |
| ORCID | 0000-0002-8599-8257 0000000285998257 |
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ggi.13973 |
| PMID | 32634849 |
| PQID | 2425513069 |
| PQPubID | 29143 |
| PageCount | 5 |
| ParticipantIDs | unpaywall_primary_10_1111_ggi_13973 pubmedcentral_primary_oai_pubmedcentral_nih_gov_7361521 osti_scitechconnect_1640242 proquest_miscellaneous_2421458274 proquest_journals_2425513069 pubmed_primary_32634849 crossref_primary_10_1111_ggi_13973 crossref_citationtrail_10_1111_ggi_13973 wiley_primary_10_1111_ggi_13973_GGI13973 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | July 2020 |
| PublicationDateYYYYMMDD | 2020-07-01 |
| PublicationDate_xml | – month: 07 year: 2020 text: July 2020 |
| PublicationDecade | 2020 |
| PublicationPlace | Kyoto, Japan |
| PublicationPlace_xml | – name: Kyoto, Japan – name: Japan – name: Richmond |
| PublicationTitle | Geriatrics & gerontology international |
| PublicationTitleAlternate | Geriatr Gerontol Int |
| PublicationYear | 2020 |
| Publisher | John Wiley & Sons Australia, Ltd Blackwell Publishing Ltd Wiley-Blackwell |
| Publisher_xml | – name: John Wiley & Sons Australia, Ltd – name: Blackwell Publishing Ltd – name: Wiley-Blackwell |
| References | 2020; 382 2020; 41 2020; 69 2020 2020; 68 e_1_2_7_6_1 e_1_2_7_5_1 e_1_2_7_4_1 e_1_2_7_3_1 e_1_2_7_9_1 e_1_2_7_8_1 e_1_2_7_7_1 e_1_2_7_16_1 e_1_2_7_2_1 e_1_2_7_15_1 e_1_2_7_14_1 e_1_2_7_13_1 e_1_2_7_11_1 e_1_2_7_10_1 Novel Coronavirus Pneumonia Emergency Response Epidemiology Team (e_1_2_7_12_1) 2020; 41 |
| References_xml | – volume: 69 start-page: 343 year: 2020 end-page: 346 article-title: Severe outcomes among patients with coronavirus disease 2019 (COVID‐19) ‐ United States, February 12–March 16 publication-title: MMWR Morb Mortal Wkly Rep – year: 2020 article-title: Improving preparedness for and response to Coronavirus Disease 19 (COVID‐19) in long‐term care hospitals in the Korea publication-title: Infect Chemother – volume: 68 start-page: 912 year: 2020 end-page: 917 article-title: Coronavirus disease 2019 in geriatrics and long‐term care; the ABCDs of COVID‐19 publication-title: J Am Geriatr Soc – volume: 382 start-page: 2005 year: 2020 end-page: 2011 article-title: Epidemiology of Covid‐19 in a long‐term care facility in King County, Washington publication-title: N Engl J Med – volume: 41 start-page: 145 year: 2020 end-page: 151 article-title: The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID‐19) in China [Chinese] publication-title: Chin Center Dis Control Prevent Week – year: 2020 – ident: e_1_2_7_7_1 doi: 10.3947/ic.2020.52.2.133 – ident: e_1_2_7_8_1 – ident: e_1_2_7_15_1 doi: 10.1111/jgs.16445 – ident: e_1_2_7_5_1 – ident: e_1_2_7_10_1 – ident: e_1_2_7_14_1 – ident: e_1_2_7_3_1 – ident: e_1_2_7_11_1 – ident: e_1_2_7_6_1 – ident: e_1_2_7_16_1 doi: 10.15585/mmwr.mm6921e1 – ident: e_1_2_7_4_1 – ident: e_1_2_7_9_1 – volume: 41 start-page: 145 year: 2020 ident: e_1_2_7_12_1 article-title: The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID‐19) in China [Chinese] publication-title: Chin Center Dis Control Prevent Week – ident: e_1_2_7_13_1 doi: 10.15585/mmwr.mm6912e2 – ident: e_1_2_7_2_1 doi: 10.1056/NEJMoa2005412 |
| SSID | ssj0017911 |
| Score | 2.403857 |
| Snippet | Aim
To clarify the association of cluster number and size of coronavirus disease 2019 (COVID‐19) in long‐term care (LTC) hospitals/facilities, general... To clarify the association of cluster number and size of coronavirus disease 2019 (COVID-19) in long-term care (LTC) hospitals/facilities, general... AimTo clarify the association of cluster number and size of coronavirus disease 2019 (COVID‐19) in long‐term care (LTC) hospitals/facilities, general... |
| SourceID | unpaywall pubmedcentral osti proquest pubmed crossref wiley |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 715 |
| SubjectTerms | Aged Betacoronavirus - isolation & purification cluster Cluster Analysis Coronavirus Infections - mortality Coronavirus Infections - prevention & control COVID-19 Epidemics Female Hospitals, Chronic Disease - statistics & numerical data Humans Infection Control - organization & administration Japan - epidemiology Long term care insurance Long-Term Care - methods Long-Term Care - organization & administration Long-Term Care - trends long‐term care facility Male Morbidity Mortality Original : Epidemiology, Clinical Practice and Health Pandemics - prevention & control Pneumonia, Viral - mortality Pneumonia, Viral - prevention & control SARS-CoV-2 Skilled Nursing Facilities - statistics & numerical data |
| SummonAdditionalLinks | – databaseName: Wiley Online Library - Core collection (SURFmarket) dbid: DR2 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LitRAFC2GXqgb3484o5SPxWzSJJ1KpYIraZ0XjII4Mgsh1Cs9raEy2AnSrvwEv9Ev8d7KA1tHESGLhNxAKjm36pzUzSlCnioYZJWK0lApaUImMxMKwzVIFWlNnGdKSF8g-4ofnLCj0_R0izwb_oXp_CHGD26YGb6_xgSXavVTki8WyynSF3T6jBPu5dSb0ToKXTe92GKMhXEqeO8qhFU845UbY9Gkhpy6iGf-Xi55uXXncv1ZVtUmpfVj0t418n5oTVeK8nHaNmqqv_xi9Pifzb1OrvZclT7vwHWDbFl3k1w67mfjb5EP86pFn4UVrUs6f_3u8MX3r9_inC4drWq3gAPs9ykWl9Gzfn2SFZXO0FJqrMkFlY7BRzBgO4o_utCYw5ED2K5pU9OcHss1nQHXvE1O9l6-nR-E_doNoWaggEItzEzJmEttUiFnNomUAnYhWCot4ybJjTEZchkDjK6cRbApzUGNWiaiXGbJHTJxtbP3CFUlm1mRljIqI2ZTCQBSkYV-JI3iksUiILvDWyx0b2yO62tUxSBw4NkV_tkF5PEYet65eVwUtI1QKICCoI-uxoIj3RSgK5HPBGRnQEjRp_uqQN2WAhvgeUAejachUXH2RTpbtz4mxknKjAXkbgeo8R6AQydMMLg624DaGIAm4Jtn3PLMm4FnCUcKFpAnIyj_1rRdj7E_RxT7-4d-5_6_h26TK4iEroh5h0yaT619AFStUQ99Tv4AvFQ5YQ priority: 102 providerName: Wiley-Blackwell |
| Title | Clusters of COVID‐19 in long‐term care hospitals and facilities in Japan from 16 January to 9 May 2020 |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fggi.13973 https://www.ncbi.nlm.nih.gov/pubmed/32634849 https://www.proquest.com/docview/2425513069 https://www.proquest.com/docview/2421458274 https://www.osti.gov/biblio/1640242 https://pubmed.ncbi.nlm.nih.gov/PMC7361521 https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ggi.13973 |
| UnpaywallVersion | publishedVersion |
| Volume | 20 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVWIB databaseName: Wiley Online Library - Core collection (SURFmarket) issn: 1444-1586 databaseCode: DR2 dateStart: 20010101 customDbUrl: isFulltext: true eissn: 1447-0594 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017911 providerName: Wiley-Blackwell |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3JbtRAEG3BRAIu7BCTEDXLIRcPXtp2-xgNZJMSEGJQOJnePBlitUfMWGg48Ql8I19ClTfJEBASkg-2XLbc9quuV-7q14Q8lxBkpfQiV0qhXSYS7XIdK0hVhNF-mkgu6gLZ0_hwyo7PorN2nVOcC9PoQ_Q_3NAz6v4aHXyh86af71z9xWw2HyOFCa-SjTgCMj4iG9PTN3sf6jlFjLl-xJv5RSxxUZmk1RYaXDuISKMSPOsytvl70eT1yi7E-osoiiGxrSPT_i3ysWtTU5ByMa5Wcqy-_iL3-B-Nvk1utqyV7jUwu0OuGHuXXDtpx-XvkU-TokLFhSUtczp5_f7o5Y9v3_2Uzi0tSjuDA4wAFMvM6Hm7UsmSCqtpLhRW50K-jsbHELotxSkv1I_hyAKA13RV0pSeiDUNgHXeJ9P9V-8mh267ioOrGORCruI6kMKPhdIRF4EJPSmBZ3AWCcNiHaZa6wRZjQZulwcebFLFkJcaxr1UJOEDMrKlNZuEypwFhke58HKPmUgAlKRnoEeJPD9nPnfIbvclM9VKnONKG0XWpTrw7rL63TnkaW-6aHQ9LjPaQjhkQEZQUVdh6ZFaZZBhIrNxyHaHkqx1_GWGGVwEvCBOHfKkPw0ui-Mwwpqyqm18HK5MmEMeNqDqnwHYdMg4g6uTAdx6A5QDH56x8_NaFjwJYyRjDnnWA_NvTdutcfZni-zg4KjeefRPN9wiNxAETSXzNhmtPlfmMfC1ldyBTOVtsNN65k_UMj7N |
| linkProvider | Unpaywall |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3JbtRAEC2FQSJc2BeTAM1yyMUjL-1N4oIGkpmQCRJKUC6R1e1uTwasdsSMhYYTn8A38iVUeRMDASEkH2y5LLntV93vucuvAZ5LHGSldAJbSqFsLiJlxyrMUKoIrdwkkrGoC2QPw_Ex3z8JTjbgRfcvTOMP0X9wo8yo-2tKcPog_VOWz2bzIfEX_xJc5iHqFKJE73rzKPLdrOUW59x2gzhsfYWojqe_dG00GpSYVRcxzd8LJjcrcy5Wn0VRrJPaelTavQ6nXXuaYpSPw2oph9mXX6we_7fBN-BaS1fZywZfN2FDm1twZdpOyN-GD6OiIquFBStzNnr7fvLq-9dvbsLmhhWlmeEBdf2M6svYWbtEyYIJo1guMirLRaFOwfs4ZhtG_7owN8Qjg8hdsWXJEjYVK-Yh3bwDx7uvj0Zju12-wc44iiA7i5UnhRuKTAWx8LTvSIkEI-aB0DxUfqKUiojOKCR1uefgJrMQBanmsZOIyL8LA1MafR-YzLmn4yAXTu5wHQjEkHQ0diWB4-bcjS3Y6V5jmrXe5rTERpF2GgefXVo_Owue9qHnjaHHRUFbhIUUWQhZ6WZUc5QtU5SWRGks2O4gkrYZv0hJugVICMLEgif9acxVmoARRpdVHePSPGXELbjXIKq_B6TRPo85Xh2tYa0PIB_w9TNmflb7gUd-SCzMgmc9Kv_WtJ0aZH-OSPf2JvXOg38PfQyb46PpQXowOXyzBVcJFU1N8zYMlp8q_RCZ21I-qhP0B0KiPYI |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LbtNAFL0qQSpseD9MCwyPRTeO7HhsjyU2KCFtCi0IUdRNZc14xmlaaxyRRCis-AS-kS_hXtuxCBSEkLyw5WvJY587c67n-AzAc4WDrFJe6ColtctlrF2howxLFWm0n8RKyEogexjtHfH94_B4A16s_oWp_SHaD26UGVV_TQlupjr_KcvH40mX-EtwCS7zMBEk6Bu8b82jyHezKrc4564fiqjxFSIdT3vp2mjUKTGrLmKavwsmryzsVC4_y6JYJ7XVqDS8Dier9tRilPPuYq662ZdfrB7_t8E34FpDV9nLGl83YcPYW7B50EzI34azfrEgq4UZK3PWf_txNPj-9ZufsIllRWnHeEBdPyN9GTttliiZMWk1y2VGslws1Cl4H8dsy-hfF-ZHeGQRuUs2L1nCDuSS9ZBu3oGj4asP_T23Wb7BzTgWQW4mdE9JP5KZDoXsmcBTCgmG4KE0PNJBorWOic5oJHV5z8NNZREWpIYLL5FxcBc6trTmPjCV854RYS693OMmlIgh5RnsSkLPz7kvHNhZvcY0a7zNaYmNIl3VOPjs0urZOfC0DZ3Whh4XBW0RFlJkIWSlm5HmKJunWFoSpXFgewWRtMn4WUqlW4iEIEoceNKexlylCRhpTbmoYnyap4y5A_dqRLX3gDQ64ILj1fEa1toA8gFfP2Mnp5UfeBxExMIceNai8m9N26lA9ueIdHd3VO08-PfQx7D5bjBM34wOX2_BVQJFLWnehs7808I8ROI2V4-q_PwBmPc9Bg |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3JjtQwELWgRwIu7EuYAZnlMJc0Wewsx1HDbNIMHGg0nIK39DRETotOhJoTn8A38iVUZZMCA0JCyiFRKlGcvHK9isvPhDyXEGSl9LgrpdAuE7F2Ex0pSFWE0X4ay0Q0BbKn0eGcHZ_xs26dU5wL0-pDDD_c0DOa_hodfKXztp_vXf3FYrGcIoUJL5OtiAMZn5Ct-embvffNnCLGXJ8n7fwiFruoTNJpC42uHUWkSQmedRHb_L1o8mptV2LzRRTFmNg2kWn_BvnQt6ktSPk0rSs5VV9_kXv8j0bfJNc71kr3WpjdIpeMvU2unHTj8nfIx1lRo-LCmpY5nb1-d_Tyx7fvfkqXlhalXcABRgCKZWb0vFupZE2F1TQXCqtzIV9H42MI3ZbilBfqR3BkAcAbWpU0pSdiQwNgnXfJfP_V29mh263i4CoGuZCrEh1I4UdCaZ6IwISelMAzEsaFYZEOU611jKxGA7fLAw82qSLISw1LvFTE4T0ysaU1DwiVOQtMwnPh5R4zXACUpGegR-GenzM_cchu_yUz1Umc40obRdanOvDusubdOeTpYLpqdT0uMtpGOGRARlBRV2HpkaoyyDCR2Thkp0dJ1jn-OsMMjgMviFKHPBlOg8viOIywpqwbGx-HK2PmkPstqIZnADYdsoTB1fEIboMByoGPz9jleSMLHocRkjGHPBuA-bem7TY4-7NFdnBw1Ow8_KcbbpNrCIK2knmHTKrPtXkEfK2Sjzuf_AlhQT3k |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Clusters+of+COVID-19+in+long-term+care+hospitals+and+facilities+in+Japan+from+16+January+to+9+May+2020&rft.jtitle=Geriatrics+%26+gerontology+international&rft.au=Iritani%2C+Osamu&rft.au=Okuno%2C+Tazuo&rft.au=Hama%2C+Daisuke&rft.au=Kane%2C+Asami&rft.date=2020-07-01&rft.issn=1447-0594&rft.eissn=1447-0594&rft.volume=20&rft.issue=7&rft.spage=715&rft_id=info:doi/10.1111%2Fggi.13973&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1444-1586&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1444-1586&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1444-1586&client=summon |