Data · dataset · 2026
<p>Supplementary material 1.</p>
Listed in ZivaHub and Deakin Research Online and DMU Figshare and UCL Research Data Repository — shown once because both records carry DOI 10.1371/journal.pone.0332281.s001
<div><p>The COVID-19 pandemic posed significant challenges, including rehospitalization of patients due to SARS-CoV-2 reinfection, particularly in the context of variants of concern and Brazil’s COVID-19 vaccination campaign.
Description
This study aimed to estimate the rate of rehospitalizations due to reinfection in the municipality of Rio de Janeiro (2020–2022), assess the impact of individual vaccination status, and identify factors associated with this outcome.
Cohort study including individuals aged 18 years or older who were hospitalized with Severe Acute Respiratory Illness (SARI) resulting from SARS-CoV-2 infection in Rio de Janeiro. Data from four administrative databases (SIPNI, e-SUS Notifica, SIVEP-Gripe, and SIM) were integrated through record linkage. Rehospitalizations due to reinfection were defined as those occurring ≥90 days after the initial hospitalization.
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Annual rehospitalization rates were calculated per 100 person-years. The analysis included demographics, hospital discharge disposition, and vaccination-related variables. Cox proportional hazards models with deaths considered as competing risks were used.
Of the 59,001 individuals included, 1,957 (3.3%) experienced rehospitalization. The main finding was that a complete vaccination regimen with a booster (≥3 doses) was associated with a 39% reduction in the risk of rehospitalization (sHR: 0.61; 95% CI: 0.52–0.73), while older age, multimorbidity, and Black race/skin color emerged as significant risk factors. Full vaccination with booster doses offered protection against COVID-19-related rehospitalization; however, racial inequities, advanced age, and comorbidities remain important risk factors.
Public health policies that expand periodic booster vaccination, strengthen health education, and address social vulnerabilities are urgently needed as a fundamental strategy for preventing future pandemics.</p></div>
Links
Where it is published
- DOI doi.org/10.1371/journal.pone.0332281.s001 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Immunology · Immunology · Immunology · Immunology · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Research, science and technology policy · Research, science and technology policy · Research, science and technology policy · Research, science and technology policy · Social Science · Social Science · Social Science · Social Science · Sociology · Sociology · Sociology · Sociology
- Inferred from text
- Longitudinal study 65%
Provenance · 4 source records, 42 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34047976 | 12 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34047976 | 12 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34047976 | 12 d ago | JSON v1 |
| UCL Research Data Repository | oai:figshare.com:article/34047976 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:320211 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:440710 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:group:3102 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3204 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Immunology'] |
| concepts[field].anzsrc:group:3204 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Immunology'] |
| concepts[field].anzsrc:group:3204 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Immunology'] |
| concepts[field].anzsrc:group:3204 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Immunology'] |
| concepts[field].anzsrc:group:4410 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
| concepts[field].anzsrc:group:4410 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
| concepts[field].anzsrc:group:4410 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
| concepts[field].anzsrc:group:4410 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |