Correction: HIV program outcomes for Jamaica before and after "Treat All": A population-based study using the national treatment services database.

[This corrects the article DOI: 10.1371/journal.pone.0255781.].

Reduction in time to viral suppression among persons living with HIV in Jamaica between 2017-2019.

INTRODUCTION: HIV viral suppression is important for effective treatment and for reducing new infections. In 2019, only 66% of persons on antiretroviral treatment (ART) in Jamaica were virally suppressed. We aim to compare time to viral suppression by ART initiation year and type of treatment site to understand the implications for programming. METHODS: We assessed time to viral suppression among 4560 persons who received viral load testing either pre or post ART initiation from 2017-2019. We used descriptive statistics and Kaplan-Meier estimates to compare survival curves by ART year (2017, 2018, 2019), sex and type of treatment site (public and non-governmental organizations). Persons were censored if suppression was not achieved. Mixed effects Cox regression was used to determine the effect of covariates on the likelihood of viral suppression. We report hazard ratios and 95% confidence intervals. RESULTS: Pre-ART viral load testing decreased from 36% in 2017 to 30% in 2019. For post-ART viral load tests, approximately 78% (n = 1589) of persons achieved suppression, 51% (n = 809) were female and 86% (n = 1341) used a public treatment site. The median time to suppression decreased by 3 months from 2017 to 2019. The likelihood of suppression was almost 2 times greater in 2018 (HR = 1.56, CI = 1.39-1.75) and 3 times greater in 2019 (HR = 3.17, CI = 2.76-3.64) compared to 2017. NGO treatment sites were also significantly associated with the likelihood of viral suppression compared to public sites. CONCLUSION: Pre-ART viral load testing and the time to viral suppression decreased over three years. Initiating ART after 2017 and early use of NGO treatment sites were found to significantly increase the likelihood of achieving suppression. This demonstrates improvements in the national HIV response but there is need to increase the number of persons on ART and achieving viral suppression.

Trends and factors associated with initiation of HIV treatment among PLHIV in Jamaica, 2015-2019.

INTRODUCTION: Jamaica did not achieve the UNAIDS 90-90-90 targets in 2020. This study aimed to examine trends and factors associated with uptake of HIV treatment among people living with HIV (PLHIV) in Jamaica and to assess the effectiveness of revised treatment guidelines. METHODS: This secondary analysis used patient-level data from the National Treatment Service Information System. The baseline sample was 8147 PLHIV initiating anti-retroviral treatment (ART) between January 2015-December 2019. Descriptive statistics were used to summarize demographic and clinical variables and the primary outcome timing of ART initiation. Multivariable logistic regression was used to assess factors associated with ART initiation (same day vs 31+ days), using categorical variables for age group, sex and regional health authority. Adjusted odds ratios and 95% confidence intervals are reported. RESULTS: Most persons initiated ART at 31+ days (n = 3666, 45%) after the first clinic date or on the same day (n = 3461, 43%). Same day ART initiation increased from 37% to 51% over 5 years and was significantly associated with males (aOR = 0.82, CI = 0.74-0.92), 2018 (aOR = 0.66, CI = 0.56-0.77), 2019 (aOR = 0.77, CI = 0.65-0.92). late HIV diagnosis (aOR = 0.3, CI = 0.27-0.33) and viral suppression at the first viral load test (aOR = 0.6, CI = 0.53-0.67). ART initiation at 31+days was associated with 2015 (aOR = 1.21, CI = 1.01-1.45) and 2016 (aOR = 1.30, CI = 1.10-1.53) compared to 2017. CONCLUSION: Our study shows that same day ART initiation increased between 2015-2019, however it remains too low. Same day initiation was associated with the years after Treat All implementation and late initiation before Treat All, providing evidence of the strategy's success. In order to achieve the UNAIDS targets, there is a need to also increase the number of diagnosed PLHIV retained on treatment in Jamaica. Further studies should be conducted to understand important challenges to accessing treatment as well as differentiated care models to improve treatment uptake and retention.

HIV program outcomes for Jamaica before and after "Treat All": A population-based study using the national treatment services database.

OBJECTIVE: The study aims to assess changes in HIV treatment outcomes for Jamaica after the implementation of the WHO Treat All strategy in January 2017, as well as identify variables associated with clinical stage at diagnosis and viral load status, in order to understand implications for enhancing the HIV clinical cascade and boosting progress towards the UNAIDS 90-90-90 targets. METHOD: This is a population-based study using the National Treatment Service Information System. The sample consists of persons 15 years and older, placed on treatment before and after Treat All was implemented, across all 4 regional health authorities in Jamaica. Patients were assessed for two binary outcomes: 1. stage at HIV diagnosis (early/baseline CD4 cell count ≧350 cells/mm3, or late/ baseline CD4 <350 cells/mm3), 2. viral load status achieved after ART initiation (suppressed/<1000 copies/ml or non-suppressed/ ≥1000 copies/ml). Categorical variables: age/years, gender and health regions, were investigated using multivariable logistic regression. Adjusted odds ratios and 95% confidence intervals are reported. RESULTS: After Treat All, there was an increase in median baseline CD4 results as the proportion of late diagnoses decreased from 60% to 39%. There was a small increase in viral suppression from 76% to 80%, a decrease in baseline viral load testing from 61% to 46% and an increase in the uptake of first viral load testing after starting treatment from 13% to 19%. Males and persons 40+ years had higher odds of late diagnosis before and after Treat All. CONCLUSION: Jamaica's HIV program outcomes have improved after Treat All was implemented. ART initiation time significantly decreased. Early diagnosis, viral load testing uptake and viral suppression increased. However, there is a need to implement targeted testing for men and persons over 40 years to decrease the frequency of late diagnosis.

Exploring the influence of deforestation on dengue fever incidence in the Brazilian Amazonas state.

INTRODUCTION: Dengue fever is the most prevalent arboviral disease in the Brazilian Amazon and places a major health, social and economic burden on the region. Its association with deforestation is largely unknown, yet the clearing of tropical rainforests has been linked to the emergence of several infectious diseases, including yellow fever and malaria. This study aimed to explore potential drivers of dengue emergence in the Brazilian Amazon with a focus on deforestation. METHODS: An ecological study design using municipality-level secondary data from the Amazonas state between 2007 and 2017 (reported rural dengue cases, incremental deforestation, socioeconomic characteristics, healthcare and climate factors) was employed. Data were transformed according to the year with the most considerable deforestation. Associations were explored using bivariate analysis and a multivariate generalised linear model. RESULTS: During the study period 2007-2017, both dengue incidence and deforestation increased. Bivariate analysis revealed increased incidences for some years after deforestation (e.g. mean difference between dengue incidence before and three years after deforestation was 55.47 cases per 100,000, p = 0.002), however, there was no association between the extent of deforestation and dengue incidence. Using a negative binomial regression model adjusted for socioeconomic, climate and healthcare factors, deforestation was not found to be related to dengue incidence. Access to healthcare was found to be the only significant predictor of dengue incidence. DISCUSSION: Previous research has shown that deforestation facilitates the emergence of vector-borne diseases. However, no significant dose-response relationships between dengue incidence and deforestation in the Brazilian Amazonas state were found in this study. The finding that access to healthcare was the only significant predictor of dengue incidence suggests that incidence may be more dependent on surveillance than transmission. Further research and public attention are needed to better understand environmental effects on human health and to preserve the world's largest rainforest.

Google dengue trends: An indicator of epidemic behavior. The Venezuelan Case.

INTRODUCTION: Dengue Fever is a neglected increasing public health thread. Developing countries are facing surveillance system problems like delay and data loss. Lately, the access and the availability of health-related information on the internet have changed what people seek on the web. In 2004 Google developed Google Dengue Trends (GDT) based on the number of search terms related with the disease in a determined time and place. The goal of this review is to evaluate the accuracy of GDT in comparison with traditional surveillance systems in Venezuela. METHODS: Weekly epidemic data from GDT, Official Reported Cases (ORC) and Expected Cases (EC) according the Ministry of Health (MH) was obtained Monthly and yearly correlation between GDT and ORC from 2004 until 2014 was obtained. Linear regressions taking the reported cases as dependent variable were calculated. RESULTS: The overall Pearson correlation between GDT and ORC was r=0.87 (p <0.001), while between ORC and EC according the Ministry of Health (MH) was r=0.33 (p<0.001). After clustering data in epidemic and non-epidemic weeks in comparison with GDT correlation were r=0.86 (p<0.001) and r=0.65 (p <0.001) respectively. Important interannual variation of the epidemic was observed. The model shows a high accuracy in comparison with the EC, particularly when the incidence of the disease is higher. CONCLUSIONS: This early warning tool can be used as an indicator for other communicable diseases in order to apply effective and timely public health measures especially in the setting of weak surveillance systems.