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Big data and artificial intelligence technologies have played a positive role in the prevention and control of COVID-19 outbreaks. However, its application and future trends has not been comprehensively discussed. Starting from the problems faced by the prevention and control of COVID-19, this study provided an overview of the common big data and artificial intelligence technologies and their practical application cases in the prevention and control of COVID-19 based on the introduction of the advantages of big data and artificial intelligence technologies, then discussed the application of big data and artificial intelligence technologies focusing on three elements of infectious source, route of transmission and susceptible population from the three stages that before, during, and after the COVID-19 outbreak based on the Haddon model perspective. The results of the study are important for clarifying the positive role of big data and artificial intelligence technologies in each stage of COVID-19 epidemic as well as their directions of development and application, further improving the efficiency and quality of the prevention and control of COVID-19, and effectively responding to new infectious diseases in the future.

Particulate matter (PM10) changes have been confirmed as one of the contributory factors affecting human health, the association between PM10 pollution and the hospitalization of chronic obstructive pulmonary disease (COPD) with comorbidity diseases was rarely reported. The same inpatient more than twice times admissions with COPD illness from January 1, 2016 to December 31, 2021 were identified from hospitals in the 17 cities of Henan, Central China. City-specific associations were firstly estimated using the case time series (CTS) model and then combined to obtain the regional average association. The multivariate meta-analytic model produces pooled estimates of the set of coefficients representing the PM10-COPD hospitalizations association across the 17 cities. Cause-specific hospitalization analyses were performed by COPD patients with different comorbidity combinations. A total of 34,348 elderly (age ≥ 65) subjects were analyzed and with a total of 35,122.35 person-years. These coefficients can be used to compute the linear exposure–response curve expressed as relative risk (RR) in per 10 µg/m3 increase in PM10 at lag03, which was 1.0091 (95% CI 1.0070–1.0112) for COPD with comorbidity, 1.0089 (95% CI 1.0067–1.0110) for COPD with circulatory system diseases, 1.0079 (95% CI 1.0052–1.0105) for COPD with respiratory system diseases, 1.0076 (95% CI 1.0032–1.0121) for COPD with endocrine system diseases, and 1.0087 (95% CI 1.0013–1.0162) for COPD with genitourinary system diseases, respectively. Some heterogeneity was found across cities, with estimates ranging from 1.0227 in the Puyang and Jiaozuo to 1.0053 in Henan Provance, China. The effect of higher PM10, on average, was higher in studies for northern cities, with a steeper raise in risk: per 10 µg/m3 increase in PM10, the RR from 1.0062 (95% CI 1.0030–1.0093) for the 10th percentile of latitude to 1.0124 (95% CI 1.0089–1.0160) for the 90th percentile. Our findings indicated that PM10 exposure may increase the risk of hospitalizations for COPD with comorbidity. Moreover, there might be a higher morbidity risk associated with PM10 in northern latitudes, indicating that stricter air quality standards could potentially reduce PM10-related morbidity among individuals with COPD. These findings have implications for the implementation of effective clean air interventions aligned with national climate policies. [ABSTRACT FROM AUTHOR]

4-Chromanone and chromone, these two structurally similar pharmaceutical intermediates play a vital role in drug synthesis, but their related electrochemical properties have not been reported. In this work, we have found that 4-chromanone and chromone can generate strong electrochemiluminescence (ECL) during their reduction by using K2S2O8 as co-reactant in H3BO3-Na2B4O7 buffer solution. The ECL reaction mechanism has been investigated carefully by studying their fluorescence (FL) spectrum, ECL spectrum, and the important role of co-reactants in the system. Moreover, it has been found that iodide ion (I−) can inhibit the ECL signal of 4-chromanone and the ECL decrease degree is related to the amount of added I−. Therefore, a new ECL method for the detection of iodide ion has been established with high sensitivity, good selectivity and wide linear range, which can be used for detecting I− in real samples. [ABSTRACT FROM AUTHOR]