Magnitude and Determinants of Syphilis and HIV Co-Infection Among Female Sex Workers in Ethiopia: Evidence from Respondent Driven Samples, 2019–2020 Article Swipe
YOU?
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· 2022
· Open Access
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Ammar Barba,1 Fayiso Bati,2 Jaleta Bulti Tura,2 Beza Addis,1 Saro Abrahim2 1Director General Office, Ethiopian Public Health Institute, Addis Ababa, Ethiopia; 2Tuberculosis and HIV/AIDS Research Directorate, Ethiopian Public Health Institute, Addis Ababa, EthiopiaCorrespondence: Ammar Barba, Director General Office, Ethiopian Public Health Institute, Addis Ababa, Ethiopia, Tel +251 925 229 205, Email [email protected]: Female sex workers (FSWs) play an important role in transmitting Human Immunodeficiency Virus (HIV) and syphilis from high-risk groups to the general population. Syphilis and HIV infections are generally more prevalent among FSWs. However, in Ethiopia, up-to-date evidence about Syphilis–HIV co-infections among FSWs was lacking.Objective: To determine the magnitude and determinants of Syphilis–HIV co-infection among FSWs in Ethiopia, 2019– 2020.Methods: A cross-sectional HIV and other sexually transmitted infections Bio-Behavioral Survey (HSBS) was conducted using respondent-driven sampling (RDS) among 6,085 FSWs in Ethiopia from August 2019 to January 2020. Data was collected, merged with laboratory data, and analyzed in R software using the RDS package. The odds ratio was calculated at 95% CI to measure associations between the dependent and independent variables. Variables that yield p< 0.25 in univariate analysis were included in multivariate analysis. In multivariate analysis, variables with p< 0.05 were declared as statistically significant. Results were presented in frequency tables and charts.Results: The prevalence of Syphilis–HIV co-infection among FSWs was 2.9% [95% CI=2.6– 3.2]. Age of the FSWs (15– 19 years old (AOR=0.03; 95% CI=0.01– 0.12)), non-formal educational level (AOR=3.18; 95% CI=1.78– 5.68), monthly income < 2,500 ETB (AOR=3.05; 95% CI=1.45– 6.42), major depression (AOR=1.85; 95% CI=1.18– 2.89), forced first sex experience (AOR=1.71; 95% CI=1.2– 2.44), condom breakage (AOR=1.62; 95% CI=1.14– 2.30), Hepatitis B seropositivity (AOR=2.32; 95% CI=1.10– 4.90), and Hepatitis C seropositivity (AOR=5.37; 95% CI=1.70– 16.93) were strongly associated with Syphilis–HIV co-infection among FSWs in Ethiopia.Conclusion: The prevalence of Syphilis–HIV co-infection among FSWs in Ethiopia was high. To ward off Syphilis–HIV co-infection among FSWs, a special FSWs-targeted HIV and Syphilis/STIs prevention program and treatment approach needs to be devised. An outreach approach to address the sexual and reproductive health needs of FSWs has to be part of the strategy.Keywords: female sex workers, syphilis–HIV co-infection, Ethiopia
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doaj.org/article/63a02e0ca0d5415dbf3e5003ca02eb7c
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- green
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4390870159Canonical identifier for this work in OpenAlex
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Magnitude and Determinants of Syphilis and HIV Co-Infection Among Female Sex Workers in Ethiopia: Evidence from Respondent Driven Samples, 2019–2020Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2022Year of publication
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2022-10-01Full publication date if available
- Authors
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Annalisa Barba, Feyso Bati, Tura JB, Beza Addis, Saro Abdella AbrahimList of authors in order
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https://doaj.org/article/63a02e0ca0d5415dbf3e5003ca02eb7cPublisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doaj.org/article/63a02e0ca0d5415dbf3e5003ca02eb7cDirect OA link when available
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Respondent, Syphilis, Human immunodeficiency virus (HIV), Sex workers, Female sex, Demography, Men who have sex with men, Psychology, Medicine, Environmental health, Virology, Sociology, Political science, Population, Research methodology, Internal medicine, LawTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Human | 62 |
| abstract_inverted_index.Virus | 64 |
| abstract_inverted_index.about | 90 |
| abstract_inverted_index.among | 83, 93, 106, 129, 211, 287, 296, 307 |
| abstract_inverted_index.data, | 146 |
| abstract_inverted_index.first | 253 |
| abstract_inverted_index.high. | 301 |
| abstract_inverted_index.level | 232 |
| abstract_inverted_index.major | 246 |
| abstract_inverted_index.needs | 320, 334 |
| abstract_inverted_index.other | 116 |
| abstract_inverted_index.ratio | 158 |
| abstract_inverted_index.using | 125, 152 |
| abstract_inverted_index.years | 224 |
| abstract_inverted_index.yield | 175 |
| abstract_inverted_index.(15– | 222 |
| abstract_inverted_index.(FSWs) | 55 |
| abstract_inverted_index.(HSBS) | 122 |
| abstract_inverted_index.16.93) | 280 |
| abstract_inverted_index.2.30), | 265 |
| abstract_inverted_index.2.44), | 259 |
| abstract_inverted_index.2.89), | 251 |
| abstract_inverted_index.4.90), | 272 |
| abstract_inverted_index.5.68), | 236 |
| abstract_inverted_index.6.42), | 245 |
| abstract_inverted_index.Ababa, | 19, 31, 43 |
| abstract_inverted_index.August | 135 |
| abstract_inverted_index.Barba, | 34 |
| abstract_inverted_index.Bati,2 | 3 |
| abstract_inverted_index.Fayiso | 2 |
| abstract_inverted_index.Female | 52 |
| abstract_inverted_index.Health | 16, 28, 40 |
| abstract_inverted_index.Jaleta | 4 |
| abstract_inverted_index.Public | 15, 27, 39 |
| abstract_inverted_index.Survey | 121 |
| abstract_inverted_index.Tura,2 | 6 |
| abstract_inverted_index.condom | 260 |
| abstract_inverted_index.female | 344 |
| abstract_inverted_index.forced | 252 |
| abstract_inverted_index.groups | 70 |
| abstract_inverted_index.health | 333 |
| abstract_inverted_index.income | 238 |
| abstract_inverted_index.merged | 143 |
| abstract_inverted_index.sexual | 330 |
| abstract_inverted_index.tables | 203 |
| abstract_inverted_index.0.12)), | 229 |
| abstract_inverted_index.2019– | 110 |
| abstract_inverted_index.Addis,1 | 8 |
| abstract_inverted_index.Barba,1 | 1 |
| abstract_inverted_index.General | 12, 36 |
| abstract_inverted_index.January | 138 |
| abstract_inverted_index.Office, | 13, 37 |
| abstract_inverted_index.Results | 198 |
| abstract_inverted_index.address | 328 |
| abstract_inverted_index.between | 167 |
| abstract_inverted_index.general | 73 |
| abstract_inverted_index.measure | 165 |
| abstract_inverted_index.monthly | 237 |
| abstract_inverted_index.program | 316 |
| abstract_inverted_index.special | 310 |
| abstract_inverted_index.workers | 54 |
| abstract_inverted_index.Abrahim2 | 10 |
| abstract_inverted_index.Director | 35 |
| abstract_inverted_index.Ethiopia | 133, 299, 349 |
| abstract_inverted_index.HIV/AIDS | 23 |
| abstract_inverted_index.However, | 85 |
| abstract_inverted_index.Research | 24 |
| abstract_inverted_index.Syphilis | 75 |
| abstract_inverted_index.analysis | 180 |
| abstract_inverted_index.analyzed | 148 |
| abstract_inverted_index.approach | 319, 326 |
| abstract_inverted_index.breakage | 261 |
| abstract_inverted_index.declared | 194 |
| abstract_inverted_index.devised. | 323 |
| abstract_inverted_index.evidence | 89 |
| abstract_inverted_index.included | 182 |
| abstract_inverted_index.outreach | 325 |
| abstract_inverted_index.package. | 155 |
| abstract_inverted_index.sampling | 127 |
| abstract_inverted_index.sexually | 117 |
| abstract_inverted_index.software | 151 |
| abstract_inverted_index.strongly | 282 |
| abstract_inverted_index.syphilis | 67 |
| abstract_inverted_index.workers, | 346 |
| abstract_inverted_index.1Director | 11 |
| abstract_inverted_index.CI=1.2– | 258 |
| abstract_inverted_index.CI=2.6– | 216 |
| abstract_inverted_index.Ethiopia, | 44, 87, 109 |
| abstract_inverted_index.Ethiopia; | 20 |
| abstract_inverted_index.Ethiopian | 14, 26, 38 |
| abstract_inverted_index.Hepatitis | 266, 274 |
| abstract_inverted_index.Variables | 173 |
| abstract_inverted_index.analysis, | 188 |
| abstract_inverted_index.analysis. | 185 |
| abstract_inverted_index.conducted | 124 |
| abstract_inverted_index.dependent | 169 |
| abstract_inverted_index.determine | 98 |
| abstract_inverted_index.frequency | 202 |
| abstract_inverted_index.generally | 80 |
| abstract_inverted_index.high-risk | 69 |
| abstract_inverted_index.important | 58 |
| abstract_inverted_index.magnitude | 100 |
| abstract_inverted_index.presented | 200 |
| abstract_inverted_index.prevalent | 82 |
| abstract_inverted_index.treatment | 318 |
| abstract_inverted_index.variables | 189 |
| abstract_inverted_index.(AOR=0.03; | 226 |
| abstract_inverted_index.(AOR=1.62; | 262 |
| abstract_inverted_index.(AOR=1.71; | 256 |
| abstract_inverted_index.(AOR=1.85; | 248 |
| abstract_inverted_index.(AOR=2.32; | 269 |
| abstract_inverted_index.(AOR=3.05; | 242 |
| abstract_inverted_index.(AOR=3.18; | 233 |
| abstract_inverted_index.(AOR=5.37; | 277 |
| abstract_inverted_index.CI=0.01– | 228 |
| abstract_inverted_index.CI=1.10– | 271 |
| abstract_inverted_index.CI=1.14– | 264 |
| abstract_inverted_index.CI=1.18– | 250 |
| abstract_inverted_index.CI=1.45– | 244 |
| abstract_inverted_index.CI=1.70– | 279 |
| abstract_inverted_index.CI=1.78– | 235 |
| abstract_inverted_index.Institute, | 17, 29, 41 |
| abstract_inverted_index.associated | 283 |
| abstract_inverted_index.calculated | 160 |
| abstract_inverted_index.collected, | 142 |
| abstract_inverted_index.depression | 247 |
| abstract_inverted_index.experience | 255 |
| abstract_inverted_index.infections | 78, 119 |
| abstract_inverted_index.laboratory | 145 |
| abstract_inverted_index.non-formal | 230 |
| abstract_inverted_index.prevalence | 207, 292 |
| abstract_inverted_index.prevention | 315 |
| abstract_inverted_index.univariate | 179 |
| abstract_inverted_index.up-to-date | 88 |
| abstract_inverted_index.variables. | 172 |
| abstract_inverted_index.educational | 231 |
| abstract_inverted_index.independent | 171 |
| abstract_inverted_index.population. | 74 |
| abstract_inverted_index.transmitted | 118 |
| abstract_inverted_index.Directorate, | 25 |
| abstract_inverted_index.associations | 166 |
| abstract_inverted_index.co-infection | 105, 210, 286, 295, 306 |
| abstract_inverted_index.determinants | 102 |
| abstract_inverted_index.multivariate | 184, 187 |
| abstract_inverted_index.reproductive | 332 |
| abstract_inverted_index.significant. | 197 |
| abstract_inverted_index.transmitting | 61 |
| abstract_inverted_index.2020.Methods: | 111 |
| abstract_inverted_index.2Tuberculosis | 21 |
| abstract_inverted_index.FSWs-targeted | 311 |
| abstract_inverted_index.Syphilis/STIs | 314 |
| abstract_inverted_index.co-infection, | 348 |
| abstract_inverted_index.co-infections | 92 |
| abstract_inverted_index.statistically | 196 |
| abstract_inverted_index.Bio-Behavioral | 120 |
| abstract_inverted_index.Syphilis–HIV | 91, 104, 209, 285, 294, 305 |
| abstract_inverted_index.seropositivity | 268, 276 |
| abstract_inverted_index.syphilis–HIV | 347 |
| abstract_inverted_index.charts.Results: | 205 |
| abstract_inverted_index.cross-sectional | 113 |
| abstract_inverted_index.Immunodeficiency | 63 |
| abstract_inverted_index.respondent-driven | 126 |
| abstract_inverted_index.lacking.Objective: | 96 |
| abstract_inverted_index.strategy.Keywords: | 343 |
| abstract_inverted_index.Ethiopia.Conclusion: | 290 |
| abstract_inverted_index.EthiopiaCorrespondence: | 32 |
| [email protected]: | 51 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.36473876 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |