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1.
Epidemiol Infect ; 148: e288, 2020 12 01.
Article in English | MEDLINE | ID: mdl-33256878

ABSTRACT

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.


Subject(s)
COVID-19/mortality , Age Factors , Aged , Bayes Theorem , Brazil/epidemiology , COVID-19/complications , Cardiovascular Diseases/complications , Cardiovascular Diseases/epidemiology , Cities , Cluster Analysis , Comorbidity , Diabetes Complications/epidemiology , Educational Status , Female , Humans , Hypertension/complications , Hypertension/epidemiology , Linear Models , Male , Middle Aged , Monte Carlo Method , Race Factors , Risk Factors , Rural Health , Sex Factors , Spatial Analysis , Spatio-Temporal Analysis , Time Factors
2.
Epidemiol Infect ; 148: e188, 2020 08 24.
Article in English | MEDLINE | ID: mdl-32829732

ABSTRACT

This study aimed to analyse the trend and spatial-temporal clusters of risk of transmission of COVID-19 in northeastern Brazil. We conducted an ecological study using spatial and temporal trend analysis. All confirmed cases of COVID-19 in the Northeast region of Brazil were included, from 7 March to 22 May 2020. We used the segmented log-linear regression model to assess time trends, and the local empirical Bayesian estimator, the global and local Moran indexes for spatial analysis. The prospective space-time scan statistic was performed using the Poisson probability distribution model. There were 113 951 confirmed cases of COVID-19. The average incidence rate was 199.73 cases/100 000 inhabitants. We observed an increasing trend in the incidence rate in all states. Spatial autocorrelation was reported in metropolitan areas, and 178 municipalities were considered a priority, especially in the states of Ceará and Maranhão. We identified 11 spatiotemporal clusters of COVID-19 cases; the primary cluster included 70 municipalities from Ceará state. COVID-19 epidemic is increasing rapidly throughout the Northeast region of Brazil, with dispersion towards countryside. It was identified high risk clusters for COVID-19, especially in the coastal side.


Subject(s)
Coronavirus Infections/epidemiology , Coronavirus Infections/transmission , Pneumonia, Viral/epidemiology , Pneumonia, Viral/transmission , Spatio-Temporal Analysis , Betacoronavirus , Brazil/epidemiology , COVID-19 , Cities , Humans , Linear Models , Pandemics , SARS-CoV-2
3.
Eur J Pain ; 21(1): 159-165, 2017 01.
Article in English | MEDLINE | ID: mdl-27460979

ABSTRACT

BACKGROUND: Few studies have compared the analgesic effect of 25% glucose and non-nutritive sucking. We compared the analgesic effect of 25% glucose and non-nutritive sucking in newborns undergoing hepatitis B vaccination. Our hypothesis is that 25% glucose is more effective in relieving pain than non-nutritive sucking. METHODS: A randomized clinical trial with 78 healthy newborns was performed. Neonates were assigned randomly to receive 25% glucose (G25) and non-nutritive sucking (NNS). Pain was assessed using the Neonatal Infant Pain Scale (NIPS) before and during the immunization procedure. In addition, we evaluated various physiological parameters and crying time. RESULTS: Neonates who received 25% glucose registered lower NIPS scores than those from the NNS group [mean (SD), 3.3 (2.1) vs. 5.6 (1.6), p < 0.001]. The crying time was shorter among newborns in the G25 group than in the NNS and control groups. CONCLUSION: The use of 25% glucose before the vaccination procedure was more effective in relieving acute pain, with newborns in the G25 group registering scores two times lower on the NIPS scale. The clinical practice of administering 25% glucose is therefore a suggested nondrug measure for pain relief during painful procedures. SIGNIFICANCE: Neonates who received 25% glucose registered lower NIPS scores than those from the NNS group; the crying time was shorter among newborns in the G25 group than in the NNS and control groups; the use of 25% glucose before the vaccination procedure was more effective in relieving acute pain.


Subject(s)
Acute Pain/prevention & control , Glucose/therapeutic use , Pain, Procedural/prevention & control , Sucking Behavior , Sweetening Agents/therapeutic use , Acute Pain/diagnosis , Acute Pain/etiology , Crying , Female , Hepatitis B Vaccines/administration & dosage , Humans , Infant, Newborn , Injections, Intramuscular/adverse effects , Male , Pain Measurement , Pain, Procedural/diagnosis , Pain, Procedural/etiology
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