The Florida Cohort Wave 3: Recruitment and Data Collection from Persons with HIV in Florida: 2019-2023 (Preprint) Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2196/preprints.69702
BACKGROUND Ending the HIV Epidemic remains a high public health priority, and the state of Florida continues to have high HIV prevalence and incidence. OBJECTIVE The Florida Cohort study seeks to identify factors associated with the HIV Care Continuum and HIV-related comorbidities, with a focus on potential impact of alcohol consumption. METHODS The Florida Cohort Wave 3 enrolled persons with HIV aged 18+ from nine clinical, case management, and community settings across Florida from 2020 to 2023. All participants completed a baseline questionnaire, and most completed additional questionnaires at baseline and approximately one year after baseline. Data on HIV care and treatment, mental health, substance use, stigma, and technology were collected on the baseline questionnaire. Additional questionnaires covered alcohol use, gender identity, COVID-19, pets, stigma and discrimination, and antiretroviral therapy (ART) preferences. Questionnaire data were securely linked to HIV Care Continuum variables from Florida’s state HIV monitoring system. RESULTS Overall, the study enrolled 836 PWH (56% non-Hispanic Black, 16% Hispanic, 57% assigned male at birth, and 58% aged 50+). Most (97%) participants were linked to the state HIV reporting system and will be followed for up to five years to monitor HIV outcomes. Thirty-one participants completed the gender identity questionnaire, 230 completed the alcohol questionnaire, 287 completed the COVID-19 questionnaire, 221 completed the pet questionnaire, 461 complete the stigma and discrimination questionnaire, and 210 completed the ART preference questionnaire. CONCLUSIONS The study provides opportunities to monitor changes in HIV-related outcomes as well as relevant attitudes, behaviors, and healthcare preferences, but has some limitations in terms of representativeness and tracking of longitudinal outcomes.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2196/preprints.69702
- OA Status
- gold
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406981233
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4406981233Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2196/preprints.69702Digital Object Identifier
- Title
-
The Florida Cohort Wave 3: Recruitment and Data Collection from Persons with HIV in Florida: 2019-2023 (Preprint)Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-22Full publication date if available
- Authors
-
Rebecca Fisk-Hoffman, Christina Parisi, Nanyangwe Siuluta, Preeti Manavalan, Lori Bilello, Colby Cohen, Jessy G. Dévieux, Gladys E. Ibañez, Jennifer Kuretski, Charurut Somboonwit, Maya Widmeyer, Zhi Zhou, Robert L. CookList of authors in order
- Landing page
-
https://doi.org/10.2196/preprints.69702Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2196/preprints.69702Direct OA link when available
- Concepts
-
Preprint, Human immunodeficiency virus (HIV), Cohort, Gerontology, Medicine, Geography, Virology, Computer science, Internal medicine, World Wide WebTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4406981233 |
|---|---|
| doi | https://doi.org/10.2196/preprints.69702 |
| ids.doi | https://doi.org/10.2196/preprints.69702 |
| ids.openalex | https://openalex.org/W4406981233 |
| fwci | |
| type | preprint |
| title | The Florida Cohort Wave 3: Recruitment and Data Collection from Persons with HIV in Florida: 2019-2023 (Preprint) |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10082 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9998000264167786 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2725 |
| topics[0].subfield.display_name | Infectious Diseases |
| topics[0].display_name | HIV/AIDS Research and Interventions |
| topics[1].id | https://openalex.org/T11860 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9988999962806702 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2713 |
| topics[1].subfield.display_name | Epidemiology |
| topics[1].display_name | HIV, Drug Use, Sexual Risk |
| topics[2].id | https://openalex.org/T11464 |
| topics[2].field.id | https://openalex.org/fields/36 |
| topics[2].field.display_name | Health Professions |
| topics[2].score | 0.9986000061035156 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/3600 |
| topics[2].subfield.display_name | General Health Professions |
| topics[2].display_name | Homelessness and Social Issues |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C43169469 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9216614961624146 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q580922 |
| concepts[0].display_name | Preprint |
| concepts[1].id | https://openalex.org/C3013748606 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6200286149978638 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q15787 |
| concepts[1].display_name | Human immunodeficiency virus (HIV) |
| concepts[2].id | https://openalex.org/C72563966 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5356499552726746 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1303415 |
| concepts[2].display_name | Cohort |
| concepts[3].id | https://openalex.org/C74909509 |
| concepts[3].level | 1 |
| concepts[3].score | 0.45965948700904846 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q10387 |
| concepts[3].display_name | Gerontology |
| concepts[4].id | https://openalex.org/C71924100 |
| concepts[4].level | 0 |
| concepts[4].score | 0.4040301740169525 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[4].display_name | Medicine |
| concepts[5].id | https://openalex.org/C205649164 |
| concepts[5].level | 0 |
| concepts[5].score | 0.34413859248161316 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[5].display_name | Geography |
| concepts[6].id | https://openalex.org/C159047783 |
| concepts[6].level | 1 |
| concepts[6].score | 0.18286871910095215 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7215 |
| concepts[6].display_name | Virology |
| concepts[7].id | https://openalex.org/C41008148 |
| concepts[7].level | 0 |
| concepts[7].score | 0.12654393911361694 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[7].display_name | Computer science |
| concepts[8].id | https://openalex.org/C126322002 |
| concepts[8].level | 1 |
| concepts[8].score | 0.11492946743965149 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[8].display_name | Internal medicine |
| concepts[9].id | https://openalex.org/C136764020 |
| concepts[9].level | 1 |
| concepts[9].score | 0.08909663558006287 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[9].display_name | World Wide Web |
| keywords[0].id | https://openalex.org/keywords/preprint |
| keywords[0].score | 0.9216614961624146 |
| keywords[0].display_name | Preprint |
| keywords[1].id | https://openalex.org/keywords/human-immunodeficiency-virus |
| keywords[1].score | 0.6200286149978638 |
| keywords[1].display_name | Human immunodeficiency virus (HIV) |
| keywords[2].id | https://openalex.org/keywords/cohort |
| keywords[2].score | 0.5356499552726746 |
| keywords[2].display_name | Cohort |
| keywords[3].id | https://openalex.org/keywords/gerontology |
| keywords[3].score | 0.45965948700904846 |
| keywords[3].display_name | Gerontology |
| keywords[4].id | https://openalex.org/keywords/medicine |
| keywords[4].score | 0.4040301740169525 |
| keywords[4].display_name | Medicine |
| keywords[5].id | https://openalex.org/keywords/geography |
| keywords[5].score | 0.34413859248161316 |
| keywords[5].display_name | Geography |
| keywords[6].id | https://openalex.org/keywords/virology |
| keywords[6].score | 0.18286871910095215 |
| keywords[6].display_name | Virology |
| keywords[7].id | https://openalex.org/keywords/computer-science |
| keywords[7].score | 0.12654393911361694 |
| keywords[7].display_name | Computer science |
| keywords[8].id | https://openalex.org/keywords/internal-medicine |
| keywords[8].score | 0.11492946743965149 |
| keywords[8].display_name | Internal medicine |
| keywords[9].id | https://openalex.org/keywords/world-wide-web |
| keywords[9].score | 0.08909663558006287 |
| keywords[9].display_name | World Wide Web |
| language | en |
| locations[0].id | doi:10.2196/preprints.69702 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.2196/preprints.69702 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5006711553 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-2421-2601 |
| authorships[0].author.display_name | Rebecca Fisk-Hoffman |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Rebecca Fisk-Hoffman |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5064810309 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2546-507X |
| authorships[1].author.display_name | Christina Parisi |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Christina E Parisi |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5093096571 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-6313-9251 |
| authorships[2].author.display_name | Nanyangwe Siuluta |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Nanyangwe Siuluta |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5033110036 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-7587-224X |
| authorships[3].author.display_name | Preeti Manavalan |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Preeti Manavalan |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5083640197 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-7290-2722 |
| authorships[4].author.display_name | Lori Bilello |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Lori A Bilello |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5111276986 |
| authorships[5].author.orcid | https://orcid.org/0009-0007-0128-9212 |
| authorships[5].author.display_name | Colby Cohen |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Colby Cohen |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5038663235 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-6757-8753 |
| authorships[6].author.display_name | Jessy G. Dévieux |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Jessy Devieux |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5058935947 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-1626-0881 |
| authorships[7].author.display_name | Gladys E. Ibañez |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Gladys Ibanez |
| authorships[7].is_corresponding | False |
| authorships[8].author.id | https://openalex.org/A5087514398 |
| authorships[8].author.orcid | https://orcid.org/0000-0001-6850-3841 |
| authorships[8].author.display_name | Jennifer Kuretski |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Jennifer Kuretski |
| authorships[8].is_corresponding | False |
| authorships[9].author.id | https://openalex.org/A5088567641 |
| authorships[9].author.orcid | https://orcid.org/0000-0001-6210-7231 |
| authorships[9].author.display_name | Charurut Somboonwit |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Charurut Somboonwit |
| authorships[9].is_corresponding | False |
| authorships[10].author.id | https://openalex.org/A5113027727 |
| authorships[10].author.orcid | |
| authorships[10].author.display_name | Maya Widmeyer |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Maya Widmeyer |
| authorships[10].is_corresponding | False |
| authorships[11].author.id | https://openalex.org/A5059429267 |
| authorships[11].author.orcid | https://orcid.org/0000-0002-3861-5911 |
| authorships[11].author.display_name | Zhi Zhou |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Zhi Zhou |
| authorships[11].is_corresponding | False |
| authorships[12].author.id | https://openalex.org/A5101675767 |
| authorships[12].author.orcid | https://orcid.org/0000-0002-7770-3754 |
| authorships[12].author.display_name | Robert L. Cook |
| authorships[12].author_position | last |
| authorships[12].raw_author_name | Robert L Cook |
| authorships[12].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.2196/preprints.69702 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | The Florida Cohort Wave 3: Recruitment and Data Collection from Persons with HIV in Florida: 2019-2023 (Preprint) |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10082 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9998000264167786 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2725 |
| primary_topic.subfield.display_name | Infectious Diseases |
| primary_topic.display_name | HIV/AIDS Research and Interventions |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W4229365511, https://openalex.org/W3131332557, https://openalex.org/W4211247774, https://openalex.org/W4205871143, https://openalex.org/W3045462960, https://openalex.org/W4393774512, https://openalex.org/W4393658307, https://openalex.org/W4286761081, https://openalex.org/W4393731985 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.2196/preprints.69702 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.2196/preprints.69702 |
| primary_location.id | doi:10.2196/preprints.69702 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.2196/preprints.69702 |
| publication_date | 2025-01-22 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W3173815539, https://openalex.org/W4304758013, https://openalex.org/W1986781562, https://openalex.org/W2133245881, https://openalex.org/W2977126098, https://openalex.org/W3015077698, https://openalex.org/W2752611082, https://openalex.org/W3197566429, https://openalex.org/W4385751409, https://openalex.org/W2791805357, https://openalex.org/W2898918503, https://openalex.org/W3175179808, https://openalex.org/W3041359389, https://openalex.org/W2172036914, https://openalex.org/W2048533792, https://openalex.org/W2043705607, https://openalex.org/W2938182468, https://openalex.org/W2092926615, https://openalex.org/W2574663900, https://openalex.org/W2911679354, https://openalex.org/W2103318471, https://openalex.org/W2101526985, https://openalex.org/W2100611727, https://openalex.org/W2123282949, https://openalex.org/W4244160347, https://openalex.org/W2375701190, https://openalex.org/W4213095153, https://openalex.org/W4243490808, https://openalex.org/W1994118357, https://openalex.org/W4388142074, https://openalex.org/W2030863659, https://openalex.org/W2002126395, https://openalex.org/W2099795274, https://openalex.org/W2593098921, https://openalex.org/W3202143225 |
| referenced_works_count | 35 |
| abstract_inverted_index.3 | 61 |
| abstract_inverted_index.a | 7, 46, 85 |
| abstract_inverted_index.as | 249, 251 |
| abstract_inverted_index.at | 93, 170 |
| abstract_inverted_index.be | 189 |
| abstract_inverted_index.in | 246, 262 |
| abstract_inverted_index.of | 15, 51, 264, 268 |
| abstract_inverted_index.on | 48, 102, 116 |
| abstract_inverted_index.to | 18, 33, 80, 142, 181, 193, 196, 243 |
| abstract_inverted_index.up | 192 |
| abstract_inverted_index.16% | 165 |
| abstract_inverted_index.18+ | 67 |
| abstract_inverted_index.210 | 230 |
| abstract_inverted_index.221 | 217 |
| abstract_inverted_index.230 | 207 |
| abstract_inverted_index.287 | 212 |
| abstract_inverted_index.461 | 222 |
| abstract_inverted_index.57% | 167 |
| abstract_inverted_index.58% | 173 |
| abstract_inverted_index.836 | 160 |
| abstract_inverted_index.ART | 233 |
| abstract_inverted_index.All | 82 |
| abstract_inverted_index.HIV | 4, 21, 39, 65, 103, 143, 150, 184, 198 |
| abstract_inverted_index.PWH | 161 |
| abstract_inverted_index.The | 28, 57, 239 |
| abstract_inverted_index.and | 12, 23, 42, 73, 88, 95, 105, 112, 130, 132, 172, 187, 226, 229, 255, 266 |
| abstract_inverted_index.but | 258 |
| abstract_inverted_index.for | 191 |
| abstract_inverted_index.has | 259 |
| abstract_inverted_index.one | 97 |
| abstract_inverted_index.pet | 220 |
| abstract_inverted_index.the | 3, 13, 38, 117, 157, 182, 203, 209, 214, 219, 224, 232 |
| abstract_inverted_index.(56% | 162 |
| abstract_inverted_index.2020 | 79 |
| abstract_inverted_index.Care | 40, 144 |
| abstract_inverted_index.Data | 101 |
| abstract_inverted_index.Most | 176 |
| abstract_inverted_index.Wave | 60 |
| abstract_inverted_index.aged | 66, 174 |
| abstract_inverted_index.care | 104 |
| abstract_inverted_index.case | 71 |
| abstract_inverted_index.data | 138 |
| abstract_inverted_index.five | 194 |
| abstract_inverted_index.from | 68, 78, 147 |
| abstract_inverted_index.have | 19 |
| abstract_inverted_index.high | 8, 20 |
| abstract_inverted_index.male | 169 |
| abstract_inverted_index.most | 89 |
| abstract_inverted_index.nine | 69 |
| abstract_inverted_index.some | 260 |
| abstract_inverted_index.use, | 110, 124 |
| abstract_inverted_index.well | 250 |
| abstract_inverted_index.were | 114, 139, 179 |
| abstract_inverted_index.will | 188 |
| abstract_inverted_index.with | 37, 45, 64 |
| abstract_inverted_index.year | 98 |
| abstract_inverted_index.(97%) | 177 |
| abstract_inverted_index.(ART) | 135 |
| abstract_inverted_index.2023. | 81 |
| abstract_inverted_index.50+). | 175 |
| abstract_inverted_index.<sec> | 0, 26, 55, 154, 237 |
| abstract_inverted_index.after | 99 |
| abstract_inverted_index.focus | 47 |
| abstract_inverted_index.pets, | 128 |
| abstract_inverted_index.seeks | 32 |
| abstract_inverted_index.state | 14, 149, 183 |
| abstract_inverted_index.study | 31, 158, 240 |
| abstract_inverted_index.terms | 263 |
| abstract_inverted_index.years | 195 |
| abstract_inverted_index.</sec> | 25, 54, 153, 236, 271 |
| abstract_inverted_index.Black, | 164 |
| abstract_inverted_index.Cohort | 30, 59 |
| abstract_inverted_index.Ending | 2 |
| abstract_inverted_index.across | 76 |
| abstract_inverted_index.birth, | 171 |
| abstract_inverted_index.gender | 125, 204 |
| abstract_inverted_index.health | 10 |
| abstract_inverted_index.impact | 50 |
| abstract_inverted_index.linked | 141, 180 |
| abstract_inverted_index.mental | 107 |
| abstract_inverted_index.public | 9 |
| abstract_inverted_index.stigma | 129, 225 |
| abstract_inverted_index.system | 186 |
| abstract_inverted_index.Florida | 16, 29, 58, 77 |
| abstract_inverted_index.alcohol | 52, 123, 210 |
| abstract_inverted_index.changes | 245 |
| abstract_inverted_index.covered | 122 |
| abstract_inverted_index.factors | 35 |
| abstract_inverted_index.health, | 108 |
| abstract_inverted_index.monitor | 197, 244 |
| abstract_inverted_index.persons | 63 |
| abstract_inverted_index.remains | 6 |
| abstract_inverted_index.stigma, | 111 |
| abstract_inverted_index.system. | 152 |
| abstract_inverted_index.therapy | 134 |
| abstract_inverted_index.COVID-19 | 215 |
| abstract_inverted_index.Epidemic | 5 |
| abstract_inverted_index.Overall, | 156 |
| abstract_inverted_index.assigned | 168 |
| abstract_inverted_index.baseline | 86, 94, 118 |
| abstract_inverted_index.complete | 223 |
| abstract_inverted_index.enrolled | 62, 159 |
| abstract_inverted_index.followed | 190 |
| abstract_inverted_index.identify | 34 |
| abstract_inverted_index.identity | 205 |
| abstract_inverted_index.outcomes | 248 |
| abstract_inverted_index.provides | 241 |
| abstract_inverted_index.relevant | 252 |
| abstract_inverted_index.securely | 140 |
| abstract_inverted_index.settings | 75 |
| abstract_inverted_index.tracking | 267 |
| abstract_inverted_index.COVID-19, | 127 |
| abstract_inverted_index.Continuum | 41, 145 |
| abstract_inverted_index.Hispanic, | 166 |
| abstract_inverted_index.baseline. | 100 |
| abstract_inverted_index.clinical, | 70 |
| abstract_inverted_index.collected | 115 |
| abstract_inverted_index.community | 74 |
| abstract_inverted_index.completed | 84, 90, 202, 208, 213, 218, 231 |
| abstract_inverted_index.continues | 17 |
| abstract_inverted_index.identity, | 126 |
| abstract_inverted_index.outcomes. | 199, 270 |
| abstract_inverted_index.potential | 49 |
| abstract_inverted_index.priority, | 11 |
| abstract_inverted_index.reporting | 185 |
| abstract_inverted_index.substance | 109 |
| abstract_inverted_index.variables | 146 |
| abstract_inverted_index.Additional | 120 |
| abstract_inverted_index.Thirty-one | 200 |
| abstract_inverted_index.additional | 91 |
| abstract_inverted_index.associated | 36 |
| abstract_inverted_index.attitudes, | 253 |
| abstract_inverted_index.behaviors, | 254 |
| abstract_inverted_index.healthcare | 256 |
| abstract_inverted_index.incidence. | 24 |
| abstract_inverted_index.monitoring | 151 |
| abstract_inverted_index.preference | 234 |
| abstract_inverted_index.prevalence | 22 |
| abstract_inverted_index.technology | 113 |
| abstract_inverted_index.treatment, | 106 |
| abstract_inverted_index.Florida’s | 148 |
| abstract_inverted_index.HIV-related | 43, 247 |
| abstract_inverted_index.limitations | 261 |
| abstract_inverted_index.management, | 72 |
| abstract_inverted_index.consumption. | 53 |
| abstract_inverted_index.longitudinal | 269 |
| abstract_inverted_index.non-Hispanic | 163 |
| abstract_inverted_index.participants | 83, 178, 201 |
| abstract_inverted_index.preferences, | 257 |
| abstract_inverted_index.preferences. | 136 |
| abstract_inverted_index.Questionnaire | 137 |
| abstract_inverted_index.approximately | 96 |
| abstract_inverted_index.opportunities | 242 |
| abstract_inverted_index.antiretroviral | 133 |
| abstract_inverted_index.comorbidities, | 44 |
| abstract_inverted_index.discrimination | 227 |
| abstract_inverted_index.questionnaire, | 87, 206, 211, 216, 221, 228 |
| abstract_inverted_index.questionnaire. | 119, 235 |
| abstract_inverted_index.questionnaires | 92, 121 |
| abstract_inverted_index.discrimination, | 131 |
| abstract_inverted_index.representativeness | 265 |
| abstract_inverted_index.<title>METHODS</title> | 56 |
| abstract_inverted_index.<title>RESULTS</title> | 155 |
| abstract_inverted_index.<title>OBJECTIVE</title> | 27 |
| abstract_inverted_index.<title>BACKGROUND</title> | 1 |
| abstract_inverted_index.<title>CONCLUSIONS</title> | 238 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 13 |
| citation_normalized_percentile.value | 0.04845513 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |