RESUMO
Background: Reinfection with Coronavirus Diseases 2019 (COVID-19) has raised remarkable public health concerns globally. Therefore, the present retrospective cohort study intended to investigate COVID-19 reinfection in registered patients of Fars province in Iran from February 2020 to April 2021. Methods: The patients' data, including the COVID-19 infection, symptoms, comorbidities, and demographics, were collected using the Health Information Systems (HISs). The patients were divided into three groups in terms of the duration between the initial infection and reinfection, including 28-44, 45-89, and more than 90 days. Following the univariate analysis, logistic regression was used to investigate the factors effective on COVID-19 reinfection. Results: A total of 213768 patients had a positive Polymerase Chain Reaction (PCR) test. The reinfection rate was 0.97% (2079 patients). Of these re-infected individuals, 14.9%, 18.5%, and 66.6% had their second positive test 28-45, 45-89, and ≥90 days later, respectively. The mean duration between the initial infection and reinfection was 130.56 days (29-370 days). The chance of reinfection was significantly higher in the youths (Odds Ratio (OR)=2.055; P<0.001), men (OR=1.283; P<0.001), urban population (OR=1.313; P<0.001), and healthcare providers (OR=4.453; P<0.001). The patients with chronic pulmonary diseases, chronic kidney diseases, and malignancy were 1.421 (P=0.036), 2.239 (P<0.001), and 3.437 (P<0.001) times, respectively, more likely prone to reinfection. Conclusion: The results of this study showed that there is a higher risk of reinfection in several vulnerable groups including healthcare providers, young individuals, residents of urban areas, men, and individuals with underlying diseases.
Assuntos
COVID-19 , Reinfecção , Masculino , Adolescente , Humanos , Irã (Geográfico)/epidemiologia , Reinfecção/epidemiologia , Estudos Retrospectivos , COVID-19/epidemiologia , Fatores de RiscoRESUMO
BACKGROUND: Examining the distribution of the burden of different communicable and non-communicable diseases and injuries worldwide can present proper evidence to global policymakers to deal with health inequality. The present study aimed to determine socioeconomic inequality in the burden of 25 groups of diseases between countries around the world in 2019. METHODS: In the current study data according to 204 countries in the world was gathered from the Human Development Report and the Global Burden of Diseases study. Variables referring to incidence, prevalence, years of life lost (YLL), years lived with disability (YLD) and disability adjusted life years (DALY) resulting by 25 groups of diseases and injuries also human development index was applied for the analysis. For measurement of socioeconomic inequality, concentration index (CI) and curve was applied. CI is considered as one of the popular measures for inequality measurement. It ranges from - 1 to + 1. A positive value implies that a variable is concentrated among the higher socioeconomic status population and vice versa. RESULTS: The findings showed that CI of the incidence, prevalence, YLL, YLD and DALY for all causes were - 0.0255, - 0.0035, - 0.1773, 0.0718 and - 0.0973, respectively. CI for total Communicable, Maternal, Neonatal, and Nutritional Diseases (CMNNDs) incidence, prevalence, YLL, YLD and DALY were estimated as - 0.0495, - 0.1355, - 0.5585, - 0.2801 and - 0.5203, respectively. Moreover, estimates indicated that CIs of incidence, prevalence, YLL, YLD and DALY for Non-Communicable Diseases (NCDs) were 0.1488, 0.1218, 0.1552, 0.1847 and 0.1669, respectively. Regarding injuries, the CIs of incidence, prevalence, YLL, YLD and DALY were determined as 0.0212, 0.1364, - 0.1605, 0.1146 and 0.3316, respectively. In the CMNNDs group, highest and lowest CI of DALY were related to the respiratory infections and tuberculosis (- 0.4291) and neglected tropical diseases and malaria (- 0.6872). Regarding NCDs, the highest and lowest CI for DALY is determined for neoplasms (0.3192) and other NCDs (- 0.0784). Moreover, the maximum and minimum of CI of DALY for injuries group were related to the transport injuries (0.0421) and unintentional injuries (- 0.0297). CONCLUSIONS: The distribution of all-causes and CMNNDs burden were more concentrated in low-HDI countries and there are pro-poor inequality. However, there is a pro-rich inequality for NCDs' burden i.e. it was concentrated in high-HDI countries. On the other hand, the concentration of DALY, YLD, prevalence, and incidence in injuries was observed in the countries with higher HDI, while YLL was concentrated in low-HDI countries.
Assuntos
Doenças Transmissíveis , Pessoas com Deficiência , Doenças não Transmissíveis , Doenças Transmissíveis/epidemiologia , Efeitos Psicossociais da Doença , Carga Global da Doença , Saúde Global , Disparidades nos Níveis de Saúde , Humanos , Recém-Nascido , Doenças não Transmissíveis/epidemiologia , Anos de Vida Ajustados por Qualidade de Vida , Classe SocialRESUMO
BACKGROUND: ß-Thalassemia is a prevalent genetic disease in Mediterranean countries. The most common treatments for this disease are blood transfusion plus iron chelation (BTIC) therapy and bone marrow transplantation (BMT). Patients using these procedures experience different health-related quality of life (HRQoL). The purpose of the present study was to measure HRQoL in these patients using 2 different multiattribute quality of life (QoL) scales. METHODS: In this cross-sectional study, data were gathered using 3 instruments: a socio-demographic questionnaire, EQ-5D, and SF-36. A total of 196 patients with ß-thalassemia were randomly selected from 2 hospitals in Shiraz (Southern Iran). Data were analyzed using logistic regression and multiple regression models to identify factors that affect the patients' HRQoL. RESULTS: The average EQ-5D index and EQ visual analog scale (VAS) scores were 0.86 (95% CI: 0.83-0.89) and 71.85 (95% CI: 69.13-74.58), respectively. Patients with BMT reported significantly higher EQ VAS scores (83.27 vs 68.55, respectively). The results showed that patients who lived in rural area and patients with BMT reported higher EQ VAS scores (rural; ß= 10.25, P = .006 and BMT; ß= 11.88, P = .000). As well, SF-36 between 2 groups of patients were statistically significant in physical component scale (PCS). CONCLUSION: Patients in the BMT group experienced higher HRQoL in both physical and mental aspects compared to those in the BTIC group. More studies are needed to assess the relative cost-effectiveness of these methods in developing countries.