Carbon labeling schemes enable consumers to be aware of carbon emissions regarding products or services, to help change their purchasing behaviors. This study provides a bibliometric analysis to review the research progress of carbon labeling schemes during the period 2007–2019, in order to provide insight into its future development. Number of publications, countries of publications, authors, institutions, and highly cited papers are included for statistical analysis. The CiteSpace software package is used to visualize the national collaboration, keywords co-appearance, and aggregation. The results are given as follows: (1) there are 175 articles published in the pre-defined period, which shows a gradual increase, with a peak occurred in 2016; (2) carbon labeling schemes are mainly applied to grocery products, and gradually emerged in construction and tourism. (3) Existing studies mainly focus on examination of utility of carbon labeling schemes, by conducting surveys to investigate individual perception, preference, and willingness to pay. (4) Future research will include the optimization of life cycle assessment for labeling accreditation, improvement of labeling visualization for better expression, and normalization of various environmental labels to promote sustainable consumption.
To investigate the characteristics of lymphocytes in type 2 diabetic patients with coronavirus disease (COVID-19). Methods: Patients with COVID-19 admitted to hospital in Wuxi, China from January 29 to March 15 were included in the study. Lymphocytes were measured and recorded at admission and during treatment. Hospitalization days, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid positive days, minimal lymphocyte count, and occurrence time were collected and comparatively analyzed. Correlations between minimal lymphocyte count and hospitalization days as well as SARS-CoV-2 nucleic acid positive days were analyzed. Results: A total of 63 patients were included in the study, with 16 in the diabetic group and 47 in the non-diabetic group. After adjusting for potential confounding factors, we observed lower minimal lymphocyte count (0.67 ± 0.36 * 10 9 /L vs. 1.30 ± 0.54 * 10 9 /L, adjusted P = 0.001), earlier occurrence of the minimal lymphocyte count (2.68 ± 2.33 days vs. 5.29 ± 4.95 days, adjusted P = 0.042), and longer hospitalization time (20.44 ± 5.24 days vs. 17.11 ± 4.78 days, adjusted P = 0.047) in the diabetic group than in the non-diabetic group. There was a negative correlation between minimal lymphocyte count and hospitalization days (R = À0.600, P < 0.05) as well as SARS-CoV-2 nucleic acid positive days (R = À0.420, P < 0.05). Conclusions: The diabetic group with COVID-19 had lower lymphocyte count, reached the minimal count faster, and had longer hospital stays than the non-diabetic group. Hospitalization days and SARS-CoV-2 nucleic acid positive days were negatively correlated with the minimal lymphocyte count.
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