Table_1_Influence of Demographic Factors on Long-Term Trends of Premature Mortality and Burden Due to Liver Cancer: Findings From a Population-Based Study in Shanghai, China, 1973–2019.DOCX

ObjectiveLiver cancer is one of the most common causes of cancer-related death. Understanding how demographic factors influence mortality due to liver cancer is crucial for optimizing disease-control strategies. We aimed to characterize the long-term trends in the mortality and years of life lost (YLL) of liver cancer in Shanghai, China, 1973–2019, and quantitatively analyze the contributions of demographic and non-demographic factors on the mortality of liver cancer.MethodsUsing mortality data from the Mortality Registration System of Pudong New Area, the largest district of Shanghai with a population of permanent resident of 5.68 million, during 1973–2019, we analyzed the temporal trends for the mortality rates and YLL by Joinpoint Regression Program. The difference decomposition method was employed to estimate the increasing mortality rates related to demographic and non-demographic factors.ResultsA total of 21,530 deaths from liver cancer occurred from 1973 to 2019. The crude mortality rates (CMR) and age-standardized mortality rate by Segi's world standard population (ASMRW) of liver cancer were 26.73/105 person-years and 15.72/105 person-years, respectively. The CMR, ASMRW, and YLL rates of liver cancer showed significantly decreasing trends in males, females and the total population from 1973 to 2019, whereas the upward trends in the YLL were seen in males, females and the total population (all P ConclusionsThe CMR and ASMRW of liver cancer continually decreased although YLL increased during 1973–2019 in Pudong New Area, Shanghai. The demographic factors, especially aging, might be responsible for the increase in the mortality of liver cancer. More effective prevention strategies tailored to liver cancer are needed to further reduce its disease burden in the elderly population.</p

Additional file 3 of Characterization of SARS-CoV-2 worldwide transmission based on evolutionary dynamics and specific viral mutations in the spike protein

Additional file 3: Figure S2. Network graphic of SARS-CoV-2 isolates worldwide during 9 and 31 March 2020. Isolates were aligned by the Force Atlas model in Gephi. In the network, each node represented an isolate of SARS-CoV-2. Each color represented a country. Lines inherit colors from their origin clades. Distances between clades represented evolutionary distance

Additional file 2 of Characterization of SARS-CoV-2 worldwide transmission based on evolutionary dynamics and specific viral mutations in the spike protein

Additional file 2: Figure S1. DNA sequencing to verify V367F and N354D mutations in the pseudovirus genome

Additional file 6 of Characterization of SARS-CoV-2 worldwide transmission based on evolutionary dynamics and specific viral mutations in the spike protein

Additional file 6: Figure S5. Network graphic of SARS-CoV-2 isolates worldwide during 1 July and 31 August 2020. Isolates were aligned by the Force Atlas model in Gephi. In the network, each node represented an isolate of SARS-CoV-2. Each color represented a country. Lines inherit colors from their origin clades. Distances between clades represented evolutionary distance

Data_Sheet_2_Epidemiological Characteristics of Infectious Diseases Among Travelers Between China and Foreign Countries Before and During the Early Stage of the COVID-19 Pandemic.ZIP

Background: International travel during the Coronavirus disease 2019 (COVID-19) pandemic carries a certain magnitude of infection risk both to travelers and their destination, which may be difficult to assess in the early stage. The characteristics of common infectious diseases of tourists may provide some clues to identify the high-risk travelers and protect susceptible population.Methods: From among 48,444 travelers screened at Shanghai Port, we analyzed 577 travelers with 590 infectious diseases for age, sex, disease type, and World Health Organization (WHO) regions. We used the Joinpoint Regression Program to identify the average percent changes (APC) in the various trends among these individuals.Results: Hepatitis B, syphilis, and HIV were the most common infectious diseases in travelers entering China, and Hepatitis B, pulmonary tuberculosis, and syphilis in Chinese nationals traveling abroad (overall detection rates, 1.43 and 0.74%, respectively; P 0.05) and rather showed an upward trend with increasing age [APC 95% CI = 5.46 (3.41,7.56)%, P 0.05).Conclusion: Travelers always carry a transmission risk of common infectious diseases. It may be reasonable to adjust strategies for airport screening and quarantine according to the age and departure area of travelers to prevent and control new infectious diseases.</p

Additional file 4 of Characterization of SARS-CoV-2 worldwide transmission based on evolutionary dynamics and specific viral mutations in the spike protein

Additional file 4: Figure S3. Network graphic of SARS-CoV-2 isolates worldwide during 1 and 30 April 2020. Isolates were aligned by the Force Atlas model in Gephi. In the network, each node represented an isolate of SARS-CoV-2. Each color represented a country. Lines inherit colors from their origin clades. Distances between clades represented evolutionary distance

Additional file 1 of Characterization of SARS-CoV-2 worldwide transmission based on evolutionary dynamics and specific viral mutations in the spike protein

Additional file 1: Table S1. Sequences included for detecting genetic recombination relevant to SARS-CoV-2

Additional file 5 of Characterization of SARS-CoV-2 worldwide transmission based on evolutionary dynamics and specific viral mutations in the spike protein

Additional file 5: Figure S4. Network graphic of SARS-CoV-2 isolates worldwide during 1 May and 30 June 2020. Isolates were aligned by the Force Atlas model in Gephi. In the network, each node represented an isolate of SARS-CoV-2. Each color represented a country. Lines inherit colors from their origin clades. Distances between clades represented evolutionary distance

Data_Sheet_1_Epidemiological Characteristics of Infectious Diseases Among Travelers Between China and Foreign Countries Before and During the Early Stage of the COVID-19 Pandemic.ZIP

Background: International travel during the Coronavirus disease 2019 (COVID-19) pandemic carries a certain magnitude of infection risk both to travelers and their destination, which may be difficult to assess in the early stage. The characteristics of common infectious diseases of tourists may provide some clues to identify the high-risk travelers and protect susceptible population.Methods: From among 48,444 travelers screened at Shanghai Port, we analyzed 577 travelers with 590 infectious diseases for age, sex, disease type, and World Health Organization (WHO) regions. We used the Joinpoint Regression Program to identify the average percent changes (APC) in the various trends among these individuals.Results: Hepatitis B, syphilis, and HIV were the most common infectious diseases in travelers entering China, and Hepatitis B, pulmonary tuberculosis, and syphilis in Chinese nationals traveling abroad (overall detection rates, 1.43 and 0.74%, respectively; P 0.05) and rather showed an upward trend with increasing age [APC 95% CI = 5.46 (3.41,7.56)%, P 0.05).Conclusion: Travelers always carry a transmission risk of common infectious diseases. It may be reasonable to adjust strategies for airport screening and quarantine according to the age and departure area of travelers to prevent and control new infectious diseases.</p

Number (%) of community residents correctly answering the 11 questions in knowledge test section.

<p>Number (%) of community residents correctly answering the 11 questions in knowledge test section.</p