Socio-economic inequalities and COVID-19 incidence and mortality in Brazilian children: a nationwide register-based study.

OBJECTIVES: This study aimed to estimate the incidence and mortality rates of coronavirus disease 2019 (COVID-19) in Brazilian children and to analyze its relationship with socio-economic inequalities in a state-level analysis. STUDY DESIGN: This is a nationwide register-based study. METHODS: To estimate the incidence and mortality rates of COVID-19 in Brazilian children aged 0-19 years, we extracted data of confirmed cases and deaths from the de-identified microdata catalog and official bulletins of the 27 Brazilian states' health department websites until September 3, 2020. Social and economic inequalities were evaluated using the Social Vulnerability Index and Gini coefficient, respectively. The relationship between COVID-19 rates in Brazilian children and socio-economic vulnerability at the state level was analyzed using Spearman's rank correlation. RESULTS: Of the 3,998,055 individuals with COVID-19 included in our database, 335,279 (8.4%) were children aged 0-19 years. Eight hundred deaths in children were registered, which accounts for about 0.7% of the deaths related to COVID-19 in the country. There were important differences in the incidence and mortality rates among Brazilian regions, and a correlation between mortality rates and social (ρ = 0.519; P-value = 0.007; effect magnitude: moderate) and economic (ρ = 0.615; P-value < 0.001; effect magnitude: strong) inequalities was found in a state-level analysis. CONCLUSIONS: This population-based study showed important regional differences in COVID-19 estimates for children in Brazil and a relationship between mortality rates and socio-economic inequalities. The knowledge of sociogeographic differences in the estimates of COVID-19 is crucial to planning societal strategies and local decision-making to mitigate the effects of disease in the pediatric population.

Egg Albumin as a Protein Marker to Study Dispersal of Noctuidae in the Agroecosystem.

Knowledge of dispersal and spatial dynamics of pest populations is fundamental for implementation of integrated pest management and integrated resistance management. This study evaluated 1) the effectiveness of egg white albumin protein to mark larvae and adults of two polyphagous and highly mobile pests, Spodoptera frugiperda (J.E. Smith) (fall armyworm) and Helicoverpa zea (Boddie) (corn earworm) (Lepidoptera: Noctuidae), and 2) the sensitivity of polyvinylidene difluoride membrane (dot blot) in detecting albumin on marked insects. Laboratory and field experiments tested egg albumin as a protein marker, which was detected using two enzyme-linked immunosorbent assay (ELISA), microplate, and dot blot. In the laboratory, 100% of the moths sprayed with 20% egg white solution acquired the albumin marker, which was detected through the last time point tested (5 d) after application. Egg albumin was not effective at long-term marking of larvae, detected only prior the molting to the next instar. Albumin application in field cages resulted in a high percentage of moths detected as marked at 24 h and 5 d for both species. Egg albumin applied in the open field resulted in 15% of the recaptured corn earworm moths marked with most of them collected 150 m from the application area, although some were captured as far as 1,600 m within approximately 6 d after adult emergence. The results indicated egg albumin is a suitable marker to study the dispersion of fall armyworm and corn earworm in the agroecosystem and dot blot was as effective to detect egg albumin as was indirect ELISA.

Magnitude and Allele Frequency of Cry1F Resistance in Field Populations of the Fall Armyworm (Lepidoptera: Noctuidae) in Brazil.

Bacillus thuringiensis (Bt) corn producing the Cry1F protein was the first highly efficacious Bt corn deployed against the fall armyworm Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) in Brazil, but reduced efficacy of this technology against the fall armyworm has been reported in some regions of the country. Here, we surveyed Cry1F resistance allele frequency and susceptibility of eight S. frugiperda populations collected in 2013 from non-Bt fields in different regions of Brazil. In F1 screen experiments, the overall frequency of the Cry1F resistance alleles in Brazilian populations was estimated at 0.24, with 95% credibility interval between 0.18 and 0.25. In concentration-response bioassays, five of the eight populations surveyed exhibited significant resistance levels, which were over 32 times higher than that of the standard susceptible laboratory strain. The estimates of Cry1F resistance allele frequency were positively correlated with those of median effective or lethal concentrations (i.e., EC50 or LC50). These results show that the allelic frequency and the magnitude of Cry1F resistance are high in field populations of S. frugiperda in Brazil, indicating a challenging situation for resistance management.