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1.
Przegl Epidemiol ; 76(2): 255-266, 2022.
Article in English | MEDLINE | ID: covidwho-2067624

ABSTRACT

INTRODUCTION: At the beginning of COVID-19 pandemic, due to lockdown, limited mobility, as well as changes in the activity profile of some laboratories, the restriction also applied to access to various screening tests, including HIV screening tests. AIM: The aim of the study was to assess HIV testing trend during COVID-19 pandemic in laboratories in Poland and its comparison to the preceding years, with special focus on testing in the network of Voluntary Testing and Counselling (VCT) sites serving population with higher behavior risk, which increase the possibility of HIV infection. MATERIAL AND METHODS: Analysis of the changes in HIV tests number was based on the results of the annual survey of HIV tests conducted among the laboratories throughout the country. The questionnaire included data on screening and positive tests by testing site type, age group and gender. In addition, we extracted data collected in comprehensive National AIDS Centre database, based on epidemiological and behavior data collected by VCT on people who come for testing. RESULTS: There are approximately 400,000 HIV tests annually run in general population in last years. COVID-19 pandemic, which occurred in beginning of 2020 did not have a huge impact on HIV test number among these population, because there was observed 1% decreased. Pandemic COVID-19, due to few lockdown reduced the HIV tests number among VCT clients - population with higher HIV risk infection. Tests number decreased by 44% compare to previous year, due to temporal closed of these centres. Data analysis shows that due to the pandemic, the structure of the surveyed people changed, especially in terms of age and gender, and the place where the study was performed. CONCLUSION: We confirmed low HIV testing rates in general population and low positivity rate over the studied period. The positivity rate was higher in the testing site network targeting individuals engaging in high risk behaviors. Changes observed in HIV testing trends in recent years have been affected by the COVID-19 pandemic.


Subject(s)
COVID-19 , HIV Infections , COVID-19/epidemiology , Communicable Disease Control , HIV Infections/diagnosis , HIV Infections/epidemiology , HIV Testing , Humans , Pandemics , Poland/epidemiology
2.
BMC Public Health ; 22(1): 871, 2022 05 02.
Article in English | MEDLINE | ID: covidwho-1951132

ABSTRACT

BACKGROUND: During a fast-moving epidemic, timely monitoring of case counts and other key indicators of disease spread is critical to an effective public policy response. METHODS: We describe a nonparametric statistical method, originally applied to the reporting of AIDS cases in the 1980s, to estimate the distribution of reporting delays of confirmed COVID-19 cases in New York City during the late summer and early fall of 2020. RESULTS: During August 15-September 26, the estimated mean delay in reporting was 3.3 days, with 87% of cases reported by 5 days from diagnosis. Relying upon the estimated reporting-delay distribution, we projected COVID-19 incidence during the most recent 3 weeks as if each case had instead been reported on the same day that the underlying diagnostic test had been performed. Applying our delay-corrected estimates to case counts reported as of September 26, we projected a surge in new diagnoses that had already occurred but had yet to be reported. Our projections were consistent with counts of confirmed cases subsequently reported by November 7. CONCLUSION: The projected estimate of recently diagnosed cases could have had an impact on timely policy decisions to tighten social distancing measures. While the recent advent of widespread rapid antigen testing has changed the diagnostic testing landscape considerably, delays in public reporting of SARS-CoV-2 case counts remain an important barrier to effective public health policy.


Subject(s)
Acquired Immunodeficiency Syndrome , COVID-19 , Acquired Immunodeficiency Syndrome/epidemiology , COVID-19/epidemiology , Humans , New York City/epidemiology , SARS-CoV-2 , Time Factors
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