The impact of the COVID-19 pandemic on TB diagnosis in the Brazilian prison population, 2020-2021.

BACKGROUND: TB is an infectious disease with a worldwide impact. TB is closely associated with social and housing conditions, exerting a significant impact on the prison population, which is particularly susceptible to the disease. Evidence suggests that the COVID-19 pandemic has exacerbated social vulnerability. This study therefore aimed to analyse the impact of the pandemic on the diagnosis of new cases of TB in the Brazilian prison population in the years 2020 and 2021.METHODS: This is an ecological study involving cases of TB recorded in the prison population of Brazil from 2015 to 2021. Data were collected from the Brazil's Information System for Notifiable Diseases.RESULTS: The incidence of TB in the prison population in Brazil fell from 1,005.9/100,000 population between 2015 and 2019 to 852.3/100,000 population between 2020 and 2021. In 2021, there was a deficit of 539 cases (-7.6%) compared to what was expected for the year. In 2020, there was a 10% reduction in TB diagnoses in January and February, reaching 3.8% in March. A negative percentage was observed in most of the subsequent months. In 2021, the year began with a 21.6% decline in January, returning to positive values only in August and September.CONCLUSION: The first years of the COVID-19 pandemic resulted in underdiagnosis of TB in the Brazilian prison population.

COVID-19 mortality in an area of northeast Brazil: epidemiological characteristics and prospective spatiotemporal modelling.

This study aimed to analyse the spatial-temporal distribution of COVID-19 mortality in Sergipe, Northeast, Brazil. It was an ecological study utilising spatiotemporal analysis techniques that included all deaths confirmed by COVID-19 in Sergipe, from 2 April to 14 June 2020. Mortality rates were calculated per 100 000 inhabitants and the temporal trends were analysed using a segmented log-linear model. For spatial analysis, the Kernel estimator was used and the crude mortality rates were smoothed by the empirical Bayesian method. The space-time prospective scan statistics applied the Poisson's probability distribution model. There were 391 COVID-19 registered deaths, with the majority among ⩾60 years old (62%) and males (53%). The most prevalent comorbidities were hypertension (40%), diabetes (31%) and cardiovascular disease (15%). An increasing mortality trend across the state was observed, with a higher increase in the countryside. An active spatiotemporal cluster of mortality comprising the metropolitan area and neighbouring cities was identified. The trend of COVID-19 mortality in Sergipe was increasing and the spatial distribution of deaths was heterogeneous with progression towards the countryside. Therefore, the use of spatial analysis techniques may contribute to surveillance and control of COVID-19 pandemic.

Spatial clustering, social vulnerability and risk of leprosy in an endemic area in Northeast Brazil: an ecological study.

BACKGROUND: Despite the global decline in the detection of leprosy cases, its incidence has remained unchanged in certain settings and requires the determination of the factors linked to its persistence. We examined the spatial and space-time distribution of leprosy and the influence of social vulnerability on the occurrence of the disease in an endemic area of Northeast Brazil. METHODS: We performed an ecological study of all leprosy cases reported by Sergipe state, Northeast Brazil from 2001 to 2015, to examine the association of the Social Vulnerability Index and the prevalence and persistence of leprosy among the State's municipalities. Socio-economic and leprosy surveillance information was collected from the Brazilian information systems, and a Bayesian empirical local model was used to identify fluctuations of the indicators. Spatial and space-time clusters were identified using scan spatial statistic tests and to measure the municipalities' relative risk of leprosy. RESULTS: Leprosy clusters and burden of disease had a strong statistical association with the municipalities' Social Vulnerability Index. Municipalities with a high social vulnerability had higher leprosy incidence, multibacillary leprosy and newly diagnosed cases with grade 2 disability than areas with low social vulnerability. CONCLUSION: Social vulnerability is strongly associated with leprosy transmission and maintenance of disease incidence. Leprosy control programmes should be targeted to the populations with high social vulnerability.