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1.
Acta Trop ; 240: 106859, 2023 Apr.
Article in English | MEDLINE | ID: covidwho-2229263

ABSTRACT

Schistosomiasis remains a serious public health concern in Brazil and the Schistosomiasis Control Program (PCE) was elaborated to assist in the control of the disease. Nevertheless, the irruption of the COVID-19 pandemic may have impacted the program. Herein, we assessed the impact of the pandemic on PCE actions in an endemic area in the region with the highest positivity rate for schistosomiasis in Brazil. We conducted an ecological, population-based study using data from the PCE of the state of Alagoas, between 2015 and 2021, to calculate the percentage of change. The temporal trend analysis was performed using the segmented log-linear regression model. To evaluate the spatial distribution of the data, choropleth maps were made showing the values of the% of change. Moran maps was elaborated to indicate the critical areas. Our analysis showed a decrease in the population surveyed in 2020 (-41.00%) and 2021 (-18.42%). Likewise, there was a reduction in the number of Kato-Katz tests performed (2020 = -43.45%; and in 2021 = -19.63%) and, consequently, a drop in the rate of positive tests (-37.98% in 2020 and -26.14% in 2021). Importantly, treatment of positive cases was lower than 80% (77.44% in 2020 and 77.38% in 2021). Additionally, spatial clusters with negative percentage values of up to -100% of the PCE indicators were identified mostly in the municipalities of the coastal areas that are historically most affected by schistosomiasis. Taken together, our analyzes corroborate that PCE actions in endemic municipalities of Alagoas were impacted by the COVID-19 pandemic.


Subject(s)
COVID-19 , Schistosomiasis mansoni , Schistosomiasis , Humans , Animals , Schistosomiasis mansoni/epidemiology , COVID-19/epidemiology , Pandemics , Brazil/epidemiology , Schistosomiasis/epidemiology , Schistosoma mansoni , Prevalence , Feces
3.
Front Pharmacol ; 13: 891711, 2022.
Article in English | MEDLINE | ID: covidwho-2039697

ABSTRACT

Background: In 2014, the World Health Organization (WHO) launched the "post-2015 End TB strategy", that aims to end the global tuberculosis (TB) epidemic by 2030. However, the COVID-19 pandemic has severely impacted global public health and the strict measures to control the coronavirus spread can affect the management of other diseases, such as TB. Herein, we aimed to assess the impact of the COVID-19 pandemic on the diagnosis of TB in Brazil, during 2020. Methods: We carried out an ecological and population-based study, using spatial analysis techniques. The variables used were the new cases of TB, pulmonary tuberculosis (PTB), and also baciloscopy-positive (BP) cases in Brazil between 2015 and 2020. The percentage of changes (% change) was calculated to verify if there was an increase or decrease of TB cases in 2020, along with time trend analyses given by Joinpoint regression model. Also, interrupted time series analyses were used to assess the trend of TB diagnosis before and after the onset of the COVID-19 in Brazil. Spatial distribution maps were elaborated, considering the % change of each Brazilian state. Findings: Data analyses showed a reduction in the diagnosis of TB (-8.3%) and PTB (-8.1%) in Brazil after the irruption of the COVID-19 pandemic. Likewise, 22 states depicted a reduction in TB diagnosis. An expressive reduction of BP cases (-17.1%) was also observed. Interestingly, interrupted time series analysis showed decline in TB and PTB diagnoses from March 2020. Spatial analyses revealed that all states had a progressive reduction of TB, PTB and PB cases, from March on, with the highest percentages of reduction in December (-100% to -75%). Interpretation: Taken together, our analyses demonstrated a reduction in TB diagnosis after the irruption of the COVID-19 pandemic in Brazil and its regions, signaling a serious impact on the WHO "End TB Strategy" global plan.

4.
Frontiers in pharmacology ; 13, 2022.
Article in English | EuropePMC | ID: covidwho-1940270

ABSTRACT

Background: In 2014, the World Health Organization (WHO) launched the “post-2015 End TB strategy”, that aims to end the global tuberculosis (TB) epidemic by 2030. However, the COVID-19 pandemic has severely impacted global public health and the strict measures to control the coronavirus spread can affect the management of other diseases, such as TB. Herein, we aimed to assess the impact of the COVID-19 pandemic on the diagnosis of TB in Brazil, during 2020. Methods: We carried out an ecological and population-based study, using spatial analysis techniques. The variables used were the new cases of TB, pulmonary tuberculosis (PTB), and also baciloscopy-positive (BP) cases in Brazil between 2015 and 2020. The percentage of changes (% change) was calculated to verify if there was an increase or decrease of TB cases in 2020, along with time trend analyses given by Joinpoint regression model. Also, interrupted time series analyses were used to assess the trend of TB diagnosis before and after the onset of the COVID-19 in Brazil. Spatial distribution maps were elaborated, considering the % change of each Brazilian state. Findings: Data analyses showed a reduction in the diagnosis of TB (−8.3%) and PTB (−8.1%) in Brazil after the irruption of the COVID-19 pandemic. Likewise, 22 states depicted a reduction in TB diagnosis. An expressive reduction of BP cases (−17.1%) was also observed. Interestingly, interrupted time series analysis showed decline in TB and PTB diagnoses from March 2020. Spatial analyses revealed that all states had a progressive reduction of TB, PTB and PB cases, from March on, with the highest percentages of reduction in December (−100% to −75%). Interpretation: Taken together, our analyses demonstrated a reduction in TB diagnosis after the irruption of the COVID-19 pandemic in Brazil and its regions, signaling a serious impact on the WHO “End TB Strategy” global plan.

5.
Arq Bras Cardiol ; 119(1): 37-45, 2022 07.
Article in English, Portuguese | MEDLINE | ID: covidwho-1893708

ABSTRACT

BACKGROUND: The COVID-19 pandemic has had an impact on mortality from several diseases worldwide, especially cardiovascular diseases (CVD). Brazil is a continent-sized country with significant differences in the health care structure between its federative units. OBJECTIVE: Analyze in-hospital mortality from CVDs in the Brazilian public health system during the first year of the COVID-19 pandemic (2020). METHODS: This is an ecological study analyzing the absolute number of in-hospital deaths and the rate of in-hospital mortality in Brazil, its macro-regions, and federative units. Data were obtained from the Hospital Information System of the Brazilian Ministry of Health. To analyze excess mortality, the P-score was used. It compares the events observed with those expected for a given place and period. The P-score was corrected by the joinpoint regression model, with a 95% confidence interval and 5% significance level. RESULTS: There were 93,104 in-hospital deaths due to CVD in Brazil in 2020, representing 1,495 fewer deaths (P score: -1.58) than expected. The central-west region had a positive P-score, with a 15.1% increase in the number of deaths. Ten federative units showed a greater number of deaths in 2020. There was also a 13.3% excess in-hospital mortality at the country level, and an excess in-hospital mortality in all macro-regions. CONCLUSIONS: There was a decrease in the absolute number of in-hospital deaths, as well as an increase in in-hospital mortality from CVD in Brazil, in 2020, after the COVID-19 pandemic onset.


FUNDAMENTO: A pandemia da COVID-19 tem causado um impacto sobre a mortalidade por várias doenças em todo o mundo, especialmente por doenças cardiovasculares (DCVs). O Brasil é um país de dimensões continentais com diferenças significativas na estrutura de saúde entre seus estados. OBJETIVO: Analisar a mortalidade hospitalar por DCV no sistema público de saúde durante o primeiro ano da pandemia por COVID-19 (2020) no Brasil. MÉTODOS: Este é um estudo ecológico analisando o número absoluto de mortes hospitalares e a taxa de mortalidade hospitalar no Brasil, suas macrorregiões, e unidades federativas. Os dados foram obtidos do Sistema de Informações Hospitalares (SIH) do Ministério da Saúde. O P-escore foi usado para analisar o excesso de mortalidade. O escore compara os eventos observados com os eventos esperados para um dado local e período. O escore-P foi corrigido por um modelo de regressão joinpoint, com um intervalo de confiança de 95% e nível de significância de 5%. RESULTADOS: Houve 93.104 óbitos hospitalares por DCV no Brasil em 2020, o que representa 1495 menos óbitos (escore-P: -1,58) que o esperado. A região centro-oeste apresentou um escore-P positivo, com um aumento de 15,1% no número de mortes. Dez estados apresentaram um maior número de óbitos em 2020. Ainda, observou-se um excesso de 13,3% de mortalidade hospitalar no país como um todo, e um excesso de mortalidade hospitalar em todas as macrorregiões. CONCLUSÕES: Houve uma diminuição no número absoluto de óbitos hospitalares, bem como um aumento na taxa de mortalidade por DCV no Brasil em 2020, após o início da pandemia por COVID-19.


Subject(s)
COVID-19 , Cardiovascular Diseases , Brazil/epidemiology , COVID-19/epidemiology , Cardiovascular Diseases/mortality , Hospital Mortality , Humans , Pandemics
6.
Curr Probl Cardiol ; : 101216, 2022 Apr 21.
Article in English | MEDLINE | ID: covidwho-1800125

ABSTRACT

Since the onset of the coronavirus disease 2019 (COVID-19) pandemic in Brazil, several government policies have been taken. Herein, we aimed to assess the impact of the COVID-19 pandemic on hospital admissions and in-hospital lethality for cardiovascular diseases (CVD) in Brazil in 2020. An ecological and time-series study on hospitalizations and deaths from CVD in Brazil was conducted from January 2018 to December 2020.The hospital admission rate for CVD reduced by 17.1%, with a significant decreasing trend between January and May 2020 (Annual Percent Change: -8,7%; P-value < 0.001). The in-hospital lethality rate increased from 8.2% in 2018 to 9.3% in 2020. During this period, Brazil totaled 21.8 million days of hospital stay. Indicators of hospital admissions and lethality from CVD in Brazil were impacted by the emergence of the COVID-19 pandemic in different ways in the regions and depending on the nature of the indicator.

7.
Lancet Reg Health Am ; 9: 100181, 2022 May.
Article in English | MEDLINE | ID: covidwho-1620908

ABSTRACT

BACKGROUND: The pandemic caused by COVID-19 has seriously affected global health, resulting in the suspension of many regular health services, making the diagnosis of other infections difficult. Therefore, this study aimed to assess the impact of the COVID-19 pandemic on the diagnosis of leprosy in Brazil during the year 2020. METHODS: We evaluated the monthly incidence of leprosy and calculated the percentage change to verify whether there was an increase or decrease in the number of leprosy cases in 2020, considering the monthly average of cases over the previous 5 years. We used interrupted time series analysis to assess the trend in the diagnosis of leprosy before and after the start of COVID-19 in Brazil and prepared spatial distribution maps, considering the percentage variation in each state. FINDINGS: We verified a reduction of 41.4% of leprosy cases in Brazil in 2020. Likewise, there was a reduction of leprosy notifications in children under 15 years-old (-56.82%). Conversely, the diagnosis of multibacillary leprosy increased (8.1%). There was a decreasing trend in the leprosy incidence in the general population between 2015 and 2020 in Brazil. Spatial distribution maps depicted a reduction of up to 100% in new cases of leprosy in some states. INTERPRETATION: Along with COVID-19 spread there was a reduction in leprosy diagnosis in the general population and children under 15 years-old, and also an increase in multibacillary cases diagnosed, signalling a serious impact of the pandemic on leprosy control strategies in Brazil. FUNDING: This research received no specific grants.

8.
Am J Trop Med Hyg ; 106(1): 132-141, 2021 11 10.
Article in English | MEDLINE | ID: covidwho-1512901

ABSTRACT

Currently, the world is facing a severe pandemic caused by the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Although the WHO has recommended preventive measures to limit its spread, Brazil has neglected most of these recommendations, and consequently, our country has the second largest number of deaths from COVID-19 worldwide. In addition, recent studies have shown the relationship between socioeconomic inequalities and the risk of severe COVID-19 infection. Herein, we aimed to assess the spatiotemporal distribution of mortality and lethality rates of COVID-19 in a region of high social vulnerability in Brazil (Northeast region) during the first year of the pandemic. A segmented log-linear regression model was applied to assess temporal trends of mortality and case fatality rate (CFR) and according to the social vulnerability index (SVI). The Local Empirical Bayesian Estimator and Global Moran Index were used for spatial analysis. We conducted a retrospective space-time scan to map clusters at high risk of death from COVID-19. A total of 66,358 COVID-19-related deaths were reported during this period. The mortality rate was 116.2/100,000 inhabitants, and the CFR was 2.3%. Nevertheless, CFR was > 7.5% in 27 municipalities (1.5%). We observed an increasing trend of deaths in this region (AMCP = 18.2; P = 0.001). Also, increasing trends were observed in municipalities with high (N = 859) and very high SVI (N = 587). We identified two significant spatiotemporal clusters of deaths by COVID-19 in this Brazilian region (P = 0.001), and most high-risk municipalities were on the coastal strip of the region. Taken together, our analyses demonstrate that the pandemic has been responsible for several deaths in Northeast Brazil, with clusters at high risk of mortality mainly in municipalities on the coastline and those with high SVI.


Subject(s)
COVID-19/mortality , Bayes Theorem , Brazil/epidemiology , Cluster Analysis , Humans , Retrospective Studies , Social Vulnerability , Time Factors
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