Global morbidity and mortality of lower respiratory infections: A population -based study.

BACKGROUND: This study provides a comprehensive, comparative and updated estimates of temporal patterns of lower respiratory infections (LRIs) globally over the past three decades. METHODS: The data on morbidity and mortality of patients with LRIs at the global, regional and national levels were retrieved from the Global Burden of Disease (GBD) 2019 study. RESULTS: Globally, the incident cases of LRIs increased from 414,342,866 [95% uncertainty interval (UI):383,529,625 to 449, 086,938]in 1990 to 488,902,504(95% UI: 457,572,987 to 522,635,542)in 2019 with the age standardized incidence rate (ASIR) decreased from 8,276/100,000 persons (95% UI: 7,727 to 8,892) to 6,295/100,000 persons (95% UI: 5,887 to 6,737) between 1990 and 2019. Number of LRIs deaths were 2,493,200 (95% UI: 2,268,184 to 2,736,184) in 2019, a decrease of 24.9% (95% UI: -34.4 to -15.4) in the past 30 years. Meanwhile, the age-standardized death rate (ASDR) declined also from 67/100,000 persons (95% UI: 61 to 73) in 1990 to 34/100,000 persons (95% UI: 31 to 38) in 2019. Moreover, the numbers and age-standardized rates per 100,000 persons of morbidity and mortality varied widely by age, sex, Socio-Demographic Index (SDI) quintiles, and geographical locations in 2019. CONCLUSION: LRIs remain a major public health concern . Some differences in age, sex, SDI quintiles, and geographical locations contribute to LRIs-related global health policy development and health system resource optimization.

[Pollution assessment in the intertidal zone of Beibu Gulf using multi-biomarker pollution index].

This paper assessed the coastal environmental quality along the Beibu Gulf using a statistical approach, multi-biomarker pollution index (MPI). Samples of clam (Paphia undulata) and sediment were collected at nine sites from the intertidal zone of Beibu Gulf in April 2011. Nine biomarkers of response were measured both in gill and digestive gland in Paphia undulata, and twelve kinds of contaminants were measured in different sediment samples. According to the Pearson' s correlation coefficients between biomarker responses in Paphia undulata and contaminant levels in sediments, five biomarkers either in gill for oxidized glutathione (GSSG), reduced glutathione (GSH), glutathione S-transferase (GST) or in digestive gland for thiobarbituric acid reactive substances (TBARS) and glutathione peroxidase (GPx) were selected for MPI calculation. For each biomarker at each site, a response index was allocated, and the MPI value of this site was calculated as the sum of the response index of the five biomarkers. The results of the calculation (MPI values from 18 to 39) showed significant differences among sampling sites. The environmental quality of all sites ranged from class 1 (clean) to class 3 (lightly contaminated), and no site fell into class 4 (contaminated) or class 5 (heavily contaminated), indicating a good environmental quality in the intertidal zone of Beibu Gulf. However, the environmental quality at some sites (S1, S3, 54 and S7) fell into class 3 (lightly contaminated), indicating mild interference from human activities has occurred.

[Marine environmental assessment approaches based on biomarker index: a review].

Biomarkers are applied worldwide in marine environmental assessment due to their "early warning" function to chemical pollutants. Several integrative index approaches such as multi-marker pollution index (MPI), integrated biomarker response (IBR), bioeffect assessment index (BAI), biomarker response index (BRI), and health assessment index (HIS), have been developed based on biomarkers. By transforming the complex alterations of biomarkers into a single class or value, these approaches have been so far the useful tools for assessing the environmental quality. This review summarized the establishment of evaluation indicator system, the calculation of integrative index, the grading of pollution status, and the practical applications of each approach, and discussed the existing problems in marine environmental assessment based on biomarker index. Some improving suggestions were also proposed.