The impact of the COVID-19 pandemic on HIV testing in Peru: an interrupted time series analysis from 2014 to 2022
Objectives Our objective was to evaluate the impact of COVID-19 on the proportion of past-year HIV testing in Peru. Methods Utilizing data from the National Demographic and Health Survey of Peru from 2014 to 2022, we conducted an interrupted time series analysis. The proportion of past-year HIV test...
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
BioMed Central Ltd
2025
|
| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1881508879475408896 |
|---|---|
| author | Yrene-Cubas, Robinson A. Pérez-Castilla, Jesus Reynaga-Cottle, Daniel E. Bringas, Maria José Soriano Moreno, David Fernandez-Guzman, Daniel Gonzales-Zamora, Jose |
| author_browse | Bringas, Maria José Fernandez-Guzman, Daniel Gonzales-Zamora, Jose Pérez-Castilla, Jesus Reynaga-Cottle, Daniel E. Soriano Moreno, David Yrene-Cubas, Robinson A. |
| author_facet | Yrene-Cubas, Robinson A. Pérez-Castilla, Jesus Reynaga-Cottle, Daniel E. Bringas, Maria José Soriano Moreno, David Fernandez-Guzman, Daniel Gonzales-Zamora, Jose |
| author_sort | Yrene-Cubas, Robinson A. |
| collection | Producción científica |
| description | Objectives Our objective was to evaluate the impact of COVID-19 on the proportion of past-year HIV testing in Peru. Methods Utilizing data from the National Demographic and Health Survey of Peru from 2014 to 2022, we conducted an interrupted time series analysis. The proportion of past-year HIV testing per quarter of each year was considered our unit of analysis. Statistical analysis involved segmented regression with Newey-West standard errors, dividing each year of evaluation into four quarters. Additionally, we applied an Autoregressive Integrated Moving Average (ARIMA) model. Results We included 211,359 participants aged 15 to 49 years. The proportion of past-year HIV testing in Peru showed a mean decrease of 8.33% (95%CI: -10.73% to -5.93%) after the COVID-19 lockdown (from August-2020) compared to the previous period (before March-2020). Prior to lockdown, there was a mean quarterly increase of 0.30% (95%CI: 0.21-0.40%) in testing proportion, while after the lockdown, there was a mean quarterly decrease of -0.24% (95%CI: -0.56-0.09%). HIV testing declined in 23 of the 25 regions, ranging from - 23.7% to -3.0%, except in Amazonas and Cajamarca, where increases of 5.3% and 6.8% were observed. Predictions of counterfactual values without the pandemic using the ARIMA model revealed a percentage drop of -9.20% (95%CI: -13.70 to -4.80) in observed compared to predicted values. Conclusions This study highlights the decrease in proportion of past-year HIV testing in Peru following the COVID-19 lockdown, emphasizing the urgent need for targeted interventions to address disparities and ensure equitable access to testing services. |
| format | Article |
| id | oai:cris.upeu.edu.pe:20.500.15037/2838 |
| institution | UPeU |
| language | English |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | BioMed Central Ltd |
| publisherStr | BioMed Central Ltd |
| record_format | dspace |
| spelling | oai:cris.upeu.edu.pe:20.500.15037/28382026-10-30T17:10:20ZThe impact of the COVID-19 pandemic on HIV testing in Peru: an interrupted time series analysis from 2014 to 2022Yrene-Cubas, Robinson A.Pérez-Castilla, JesusReynaga-Cottle, Daniel E.Bringas, Maria JoséSoriano Moreno, DavidFernandez-Guzman, DanielGonzales-Zamora, JosePeruHiv TestingInterrupted Time Series AnalysisSociodemographic DisparitiesCovid-19 ImpactObjectives Our objective was to evaluate the impact of COVID-19 on the proportion of past-year HIV testing in Peru. Methods Utilizing data from the National Demographic and Health Survey of Peru from 2014 to 2022, we conducted an interrupted time series analysis. The proportion of past-year HIV testing per quarter of each year was considered our unit of analysis. Statistical analysis involved segmented regression with Newey-West standard errors, dividing each year of evaluation into four quarters. Additionally, we applied an Autoregressive Integrated Moving Average (ARIMA) model. Results We included 211,359 participants aged 15 to 49 years. The proportion of past-year HIV testing in Peru showed a mean decrease of 8.33% (95%CI: -10.73% to -5.93%) after the COVID-19 lockdown (from August-2020) compared to the previous period (before March-2020). Prior to lockdown, there was a mean quarterly increase of 0.30% (95%CI: 0.21-0.40%) in testing proportion, while after the lockdown, there was a mean quarterly decrease of -0.24% (95%CI: -0.56-0.09%). HIV testing declined in 23 of the 25 regions, ranging from - 23.7% to -3.0%, except in Amazonas and Cajamarca, where increases of 5.3% and 6.8% were observed. Predictions of counterfactual values without the pandemic using the ARIMA model revealed a percentage drop of -9.20% (95%CI: -13.70 to -4.80) in observed compared to predicted values. Conclusions This study highlights the decrease in proportion of past-year HIV testing in Peru following the COVID-19 lockdown, emphasizing the urgent need for targeted interventions to address disparities and ensure equitable access to testing services.Article10.1186/s12879-024-10407-y2-s2.0-85214418516https://hdl.handle.net/20.500.15037/2838enBMC Infectious DiseasesBMC Infectious Diseases1471-2334BioMed Central Ltd2025-01-072026-06-27T02:34:12Z2026-06-27T02:34:12Z |
| spellingShingle | Peru Hiv Testing Interrupted Time Series Analysis Sociodemographic Disparities Covid-19 Impact Yrene-Cubas, Robinson A. Pérez-Castilla, Jesus Reynaga-Cottle, Daniel E. Bringas, Maria José Soriano Moreno, David Fernandez-Guzman, Daniel Gonzales-Zamora, Jose The impact of the COVID-19 pandemic on HIV testing in Peru: an interrupted time series analysis from 2014 to 2022 |
| title | The impact of the COVID-19 pandemic on HIV testing in Peru: an interrupted time series analysis from 2014 to 2022 |
| title_full | The impact of the COVID-19 pandemic on HIV testing in Peru: an interrupted time series analysis from 2014 to 2022 |
| title_fullStr | The impact of the COVID-19 pandemic on HIV testing in Peru: an interrupted time series analysis from 2014 to 2022 |
| title_full_unstemmed | The impact of the COVID-19 pandemic on HIV testing in Peru: an interrupted time series analysis from 2014 to 2022 |
| title_short | The impact of the COVID-19 pandemic on HIV testing in Peru: an interrupted time series analysis from 2014 to 2022 |
| title_sort | impact of the covid 19 pandemic on hiv testing in peru an interrupted time series analysis from 2014 to 2022 |
| topic | Peru Hiv Testing Interrupted Time Series Analysis Sociodemographic Disparities Covid-19 Impact |
| topic_facet | Peru Hiv Testing Interrupted Time Series Analysis Sociodemographic Disparities Covid-19 Impact |
| url | https://hdl.handle.net/20.500.15037/2838 |
| work_keys_str_mv | AT yrenecubasrobinsona theimpactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT perezcastillajesus theimpactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT reynagacottledaniele theimpactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT bringasmariajose theimpactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT sorianomorenodavid theimpactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT fernandezguzmandaniel theimpactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT gonzaleszamorajose theimpactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT yrenecubasrobinsona impactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT perezcastillajesus impactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT reynagacottledaniele impactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT bringasmariajose impactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT sorianomorenodavid impactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT fernandezguzmandaniel impactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 AT gonzaleszamorajose impactofthecovid19pandemiconhivtestinginperuaninterruptedtimeseriesanalysisfrom2014to2022 |