Profile and dynamics of infectious diseases: a population-based observational study using multi-source big data.

Background: The current surveillance system only focuses on notifiable infectious diseases in China. The arrival of the big-data era provides us a chance to elaborate on the full spectrum of infectious diseases.

Methods: In this population-based observational study, we used multiple health-related data extracted from the Shandong Multi-Center Healthcare Big Data Platform from January 2013 to June 2017 to estimate the incidence density and describe the epidemiological characteristics and dynamics of various infectious diseases in a population of 3,987,573 individuals in Shandong province, China.

Epidemic and control of COVID-19 in Niger: quantitative analyses in a least developed country.

Background: The COVID-19 pandemic is challenging the public health response system worldwide, especially in poverty-stricken, war-torn, and least developed countries (LDCs).

Methods: We characterized the epidemiological features and spread dynamics of COVID-19 in Niger, quantified the effective reproduction number ( ), evaluated the impact of public health control measures, and estimated the disease burden.

Results: As of 4 July 2020, COVID-19 has affected 29 communes of Niger with 1093 confirmed cases, among whom 741 (67.

Impacts of transportation and meteorological factors on the transmission of COVID-19.

The ongoing pandemic of 2019 novel coronavirus disease (COVID-19) is challenging global public health response system. We aim to identify the risk factors for the transmission of COVID-19 using data on mainland China. We estimated attack rate (AR) at county level.

Metabolomics and Lipidomics Profiling in Asymptomatic Severe Intracranial Arterial Stenosis: Results from a Population-Based Study.

No data are available on the serum metabolomics and lipidomics profiles of people with asymptomatic intracranial arterial stenosis. We explored the characteristic metabolites of individuals with asymptomatic severe intracranial arterial stenosis (asICAS) using untargeted serum metabolomics and lipidomics analyses based on ultra-high-performance liquid chromatography high-resolution mass spectrometry (UPLC-HRMS). This case-control study included 25 participants with asICAS and 25 age- and sex-matched controls free of asICAS, who were all diagnosed by using magnetic resonance angiography and derived from the same population-based study.

Lifespan Risk Exposure Measurement Instrument: a Feasible and Effective Tool for Life Course Epidemiology Research.

Life course epidemiology should practically illustrate how risk exposures and their dynamic changes influence the occurrence, development and prognosis of chronic diseases from early life to the elderly. This paper develops the lifespan risk exposure measurement instrument (LREMI) in the framework of retrospective study to collect lifestyle, diet, physical activity information across subjects'life courses from 18-years-old to current age. Through a pilot study, the result of the test-retest analysis demonstrated the reliability of LREMI.