<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>18(1)</volume><submitter>Girum T</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>HIV infection continues to be epidemic of public health importance with a prevalence of 1.1% and incidence of 0.33/1000 population having low-intensity mixed epidemic. Ethiopia has adopted the 90-90-90 by 2020 target but its progress was not yet assessed. Therefore, this study aimed to assess the trend of HIV infection for the last 26 years and to predict the achievements of the 90-90-90 target.&lt;h4>Methods&lt;/h4>We used aggregates of HIV/AIDS indicator data from 1990 to 2016 of UNAIDS data bases. The data were analyzed with excel and STATA. The trend line that best fits the regression was drawn, annual change was estimated and future values of HIV detection rate, coverage of antiretroviral therapy and viral suppression indicators were predicted and compared with the 90-90-</pubmed_abstract><journal>BMC infectious diseases</journal><pagination>320</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6042262</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Trend of HIV/AIDS for the last 26 years and predicting achievement of the 90-90-90 HIV prevention targets by 2020 in Ethiopia: a time series analysis.</pubmed_title><pmcid>PMC6042262</pmcid><pubmed_authors>Worku A</pubmed_authors><pubmed_authors>Girum T</pubmed_authors><pubmed_authors>Wasie A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Trend of HIV/AIDS for the last 26 years and predicting achievement of the 90-90-90 HIV prevention targets by 2020 in Ethiopia: a time series analysis.</name><description>&lt;h4>Background&lt;/h4>HIV infection continues to be epidemic of public health importance with a prevalence of 1.1% and incidence of 0.33/1000 population having low-intensity mixed epidemic. Ethiopia has adopted the 90-90-90 by 2020 target but its progress was not yet assessed. Therefore, this study aimed to assess the trend of HIV infection for the last 26 years and to predict the achievements of the 90-90-90 target.&lt;h4>Methods&lt;/h4>We used aggregates of HIV/AIDS indicator data from 1990 to 2016 of UNAIDS data bases. The data were analyzed with excel and STATA. The trend line that best fits the regression was drawn, annual change was estimated and future values of HIV detection rate, coverage of antiretroviral therapy and viral suppression indicators were predicted and compared with the 90-90-</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Jul</publication><modification>2026-07-08T03:18:41.502Z</modification><creation>2019-03-26T23:46:18Z</creation></dates><accession>S-EPMC6042262</accession><cross_references><pubmed>29996776</pubmed><doi>10.1186/s12879-018-3214-6</doi></cross_references></HashMap>