Public Health Measures and the Control of COVID-19 in China

Estimating the contribution of setting-specific contacts to SARS-CoV-2 transmission using digital contact tracing data

While many countries employed digital contact tracing to contain the spread of SARS-CoV-2, the contribution of cospace-time interaction (i.e., individuals who shared the same space and time) to transmission and to super-spreading in the real world has seldom been systematically studied due to the lack of systematic sampling and testing of contacts. To address this issue, we utilized data from 2230 cases and 220,878 contacts with detailed epidemiological information during the Omicron outbreak in Beijing in 2022. We observed that contact number per day of tracing for individuals in dwelling, workplace, cospace-time interactions, and community settings could be described by gamma distribution with distinct parameters. Our findings revealed that 38% of traced transmissions occurred through cospace-time interactions whilst control measures were in place. However, using a mathematical model to incorporate contacts in different locations, we found that without control measures, cospace-time interactions contributed to only 11% (95%CI: 10%-12%) of transmissions and the super-spreading risk for this setting was 4% (95%CI: 3%-5%), both the lowest among all settings studied. These results suggest that public health measures should be optimized to achieve a balance between the benefits of digital contact tracing for cospace-time interactions and the challenges posed by contact tracing within the same setting.

Trends and factors influencing the mental health of college students in the post-pandemic: four consecutive cross-sectional surveys

Background

The long-term impact of COVID-19 on the mental health and well-being of college students, specifically trends over time after full removal of COVID-19 restrictions, has not been well-studied.

Methods

Four consecutive cross-sectional surveys were conducted in December 2022 (N = 689), March 2023 (N = 456), June 2023 (N = 300), and November 2023 (N = 601) at a university in Sichuan Province, China.

Results

The proportion of students with COVID-19 panic decreased from 95.1 to 77.3% (p < 0.001). The prevalence of moderate anxiety and above decreased from 18 to 13.6% (p < 0.001), and the prevalence of moderate and above depression decreased from 33.1 to 28.1% (p < 0.001), while the prevalence of post-traumatic stress disorder (PTSD) increased from 21.5 to 29.6% (p < 0.005). Further, the proportion of suicidal thoughts increased from 7.7 to 14.8% (p < 0.001). Suicidal thoughts and self-injuries were significantly associated with COVID-19 panic, depression, anxiety, and PTSD. Students who reported being in close contact with COVID-19 patients in the past were more likely to develop PTSD. Further, COVID-19-induced panic was a risk factor for self-injury.

Conclusion

One year after the COVID-19 pandemic, the overall mental health of college students was not optimal. Hence, we can conclude that the long-term impacts of COVID-19 on the mental health of college students may have already occurred. To mitigate this impact and prepare for the next major public health event, strengthening college students' mental health curricula and promoting healthy behaviors among college students should be a priority for universities and education authorities.

A school-based intervention programme to prevent anxiety and depression among Chinese children during the COVID-19 pandemic

BACKGROUND

Child and adolescent mental health is a major public health concern worldwide. The development of children's social and emotional skills helps to improve mental health and wellbeing, and prevent anxiety and depression. The school-based social emotional learning (SEL) programmes have proved effective in a number of countries. But in Mainland China, there has been no empirical research of the effectiveness on children's mental health. The study conducted a SEL programme in China during the COVID-19 pandemic and aimed to determine whether: (1) a SEL programme can reduce anxiety and depression, (2) the intervention effect is influenced by sociodemographic characteristics, (3) the programme effects change children's emotion management and communication.

METHODS

Participants were 230 children aged 8-12 years in the intervention school and 325 in the control school in two poor villages in central China. The study was a quasi-experimental trial, comprising 16 weekly 90-minute sessions. It used a mixed-methods design, with a quantitative survey administered at baseline, post-intervention, and 5-month follow-up, and qualitative interviews. Linear mixed effects regression modeling was used to analyse the intervention effectiveness, linear models were conducted to examine the moderation effect of sociodemographic variables, and the inductive thematic analysis approach was used for interview data.

RESULTS

The intervention had no significant effect on anxiety or depression, except that intervention school children who lived with neither parent (left behind children) reported lower depression scores than control school at post-intervention and 5-month follow-up. Qualitative interviews showed after intervention children were more able to control tempers and better communicated their thoughts and feelings, improving their relationships with family and friends.

CONCLUSIONS

The programme was cheap, easy to implement, and warmly welcomed by children, schools and caregivers, suggesting it was feasible and potentially sustainable. More research is needed on the adaptation of the SEL programme in the Chinese context.

Impact of the First-Wave COVID-19 Pandemic on Medical Expenditure for Older Adults in China: Lessons from a Natural Experiment

Older adults' access to healthcare services may have been affected by the COVID-19 pandemic. This study explored the effect of the first wave pandemic on the medical expenditure of older adults in China. Difference-in-Difference models captured both temporal and geographical variation in COVID-19 exposure to estimate the impacts of the pandemic on medical expenditure through a quasi-natural experiment. Data derived from the China Family Panel Studies. Results indicate that exposure to the pandemic significantly decreased total medical expenditures, hospital expenditures, and non-hospital medical expenditures of Chinese older adults by 15% (95% CI 12%-17%), 5% (95% CI 2%-7%), and 15% (95% CI 13%-16%), respectively, for each standardized severity increment. Females, less well-educated people, and individuals without internet access were most susceptible to experiencing these reductions. This study revealed that COVID-19 exerted a detrimental influence on the medical expenditure of older adults in mainland China. The "hidden epidemic" of non-COVID-19 medical needs of older adults deserves more attention on the part of policymakers.

Comparative epidemiology of outbreaks caused by SARS-CoV-2 Delta and Omicron variants in China

From 2020 to December 2022, China implemented strict measures to contain the spread of severe acute respiratory syndrome coronavirus 2. However, despite these efforts, sustained outbreaks of the Omicron variants occurred in 2022. We extracted COVID-19 case numbers from May 2021 to October 2022 to identify outbreaks of the Delta and Omicron variants in all provinces of mainland China. We found that omicron outbreaks were more frequent (4.3 vs. 1.6 outbreaks per month) and longer-lasting (mean duration: 13 vs. 4 weeks per outbreak) than Delta outbreaks, resulting in a total of 865,100 cases, of which 85% were asymptomatic. Despite the average Government Response Index being 12% higher (95% confidence interval (CI): 9%, 15%) in Omicron outbreaks, the average daily effective reproduction number (Rt) was 0.45 higher (95% CI: 0.38, 0.52, p < 0.001) than in Delta outbreaks. Omicron outbreaks were suppressed in 32 days on average (95% CI: 26, 39), which was substantially longer than Delta outbreaks (14 days; 95% CI: 11, 19; p = 0.004). We concluded that control measures effective against Delta could not contain Omicron outbreaks in China. This highlights the need for continuous evaluation of new variants' epidemiology to inform COVID-19 response decisions.

Postoperative morbidity and mortality of patients with COVID-19 undergoing cardiovascular surgery: an inverse propensity-weighted study : Postoperative outcomes of patients undergoing cardiovascular surgery during the COVID-19 pandemic

BACKGROUND

To evaluate the postoperative morbidity and mortality of patients undergoing cardiovascular surgery during the 2022 nationwide Omicron variant infection wave in China.

METHODS

This retrospective cohort study included 403 patients who underwent cardiovascular surgery for the first time during the 2022 wave of the pandemic within 1 month. Among them, 328 patients were preoperatively diagnosed with COVID-19 Omicron variant infection during the pandemic, and 75 patients were negative. The association between Omicron variant exposure and postoperative prognosis was explored by comparing patients with and without COVID-19 exposure. The primary outcome was in-hospital death after cardiovascular surgery. The secondary outcomes were major postoperative morbidity, including myocardial infarction (MI), acute kidney injury (AKI), postoperative mechanical ventilation hours, ICU stay hours, and postoperative length of stay. The data were analyzed using inverse probability of treatment weighting (IPTW) to minimize bias.

RESULTS

We identified 403 patients who underwent cardiovascular surgery, 328 (81.39%) had Omicron variant infections. In total, 10 patients died in the hospital. Omicron variant infection was associated with a much greater risk of death during cardiovascular surgery after adjustment for IPTW (2.8% vs. 1.3%, adjusted OR 2.185, 95%CI = 1.193 to 10.251, P = 0.041). For major postoperative morbidity, there were no significant differences in terms of myocardial infarction between the two groups (adjusted OR = 0.861, 95%CI = 0.444 to 1.657, P = 0.653), acute kidney injury (adjusted OR = 1.157, 95%CI = 0.287 to 5.155, P = 0.820), postoperative mechanical ventilation hours (B -0.375, 95%CI=-8.438 to 7.808, P = 0.939), ICU stay hours (B 2.452, 95%CI=-13.269 to 8.419, P = 0.660) or postoperative stay (B -1.118, 95%CI=-2.237 to 1.154, P = 0.259) between the two groups.

CONCLUSION

Perioperative COVID-19 infection was associated with an increased risk of in-hospital death among patients who underwent cardiovascular surgery during the Omicron variant wave of the pandemic.

Association between adult attachment and mental health states among health care workers: the mediating role of social support

Background

To determine the relationships between attachment style, social support, and mental health states, as well as the mediation mechanism within this relationship, we conducted a survey among healthcare workers during the coronavirus disease 2019 (COVID-19) epidemic quarantine.

Methods

The survey assessed their mental health states, adult attachment style, social support, and some other relevant information. Mental health states were represented by the overall state of sleep, physical and emotional assessment. A multiple mediator model was used to explain how social support could mediate the relationship between attachment and mental health states during COVID-19 quarantine.

Results

Our findings revealed that 33.3% of the participants experienced emotional issues, 8.5% had sleep problems, and 24.9% reported physical discomfort. The direct effect of adult attachment styles on mental health states during COVID-19 quarantine was significant (c' = -0.3172; p < 0.01). The total indirect effect also showed statistical significance (ab = -0.1857; p < 0.01). Moreover, the total effect of adult attachment styles on mental health states was -0.5029 (c = -0.5029; p < 0.01). Subjective social support and utilization of social support play mediating roles in the relationship between attachment style and mental health states, respectively (ab1 = -0.1287, 95% CI: -0.9120 to -0.3341, ab2 = 0.0570, 95% CI: -0.4635 to -0.1132).

Conclusion

These findings highlight social support played a mediation role between attachment style and mental health states. Thus, offering social support during a crisis might be useful for those individuals with an insecure attachment.

Public acceptance of COVID-19 control measures and associated factors during Omicron-dominant period in China: a cross-sectional survey

OBJECTIVES

This study aims to evaluate the public acceptance of coronavirus disease 2019 (COVID-19) control measures during the Omicron-dominant period and its associated factors.

METHODS

A cross-sectional design was conducted and 1391 study participants were openly recruited to participate in the questionnaire survey. Logistic regression model was performed to assess the association between the public acceptance and potential factors more specifically.

RESULTS

By August 26, 2022, 58.9% of the study participants were less acceptive of the control measures while 41.1% expressed higher acceptance. Factors associated with lower acceptance included young age, such as < 18 (OR = 8.251, 95% CI: 2.009 to 33.889) and 18-29 (OR = 2.349, 95% CI: 1.564 to 3.529), and household per capita monthly income lower than 5000 yuan (OR = 1.512, 95% CI: 1.085 to 2.105). Furthermore, individuals who perceived that the case fatality rate (CFR) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was very low (OR = 6.010, 95% CI: 2.475 to 14.595) and that the restrictions could be eased once the CFR dropped to 2-3 times of the influenza (OR = 2.792, 95% CI: 1.939 to 4.023) showed greater oppositional attitudes. Likewise, respondents who were dissatisfied with control measures (OR = 9.639, 95% CI: 4.425 to 20.998) or preferred fully relaxation as soon as possible (OR = 13.571, 95% CI: 7.751 to 23.758) had even lower acceptability. By contrast, rural residents (OR = 0.683, 95% CI: 0.473 to 0.987), students (OR = 0.510, 95% CI: 0.276 to 0.941), public (OR = 0.417, 95% CI: 0.240 to 0.727) and private (OR = 0.562, 95% CI: 0.320 to 0.986) employees, and vaccinated participants (OR = 0.393, 95% CI: 0.204 to 0.756) were more compliant with control measures.

CONCLUSION

More than half of the Chinese public were less supportive of COVID-19 control measures during Omicron-dominant period, which varied based on their different demographic characteristics, cognition and overall attitude towards SARS-CoV-2 infection. Control measures that struck a balance between public safety and individual freedom would be more acceptable during the pandemic.

Chinese model in global COVID-19 prevention and control: Successful experience, institutional advantages and optimal path

The prevention and control measures adopted by various countries have different effects in the face of COVID-19. The performance in some socialist countries and capitalist countries were compared from three aspects, including the proportion of confirmed cases and deaths to the national population, economic recovery and production and living, social satisfaction and international evaluation. The overall performance of listed socialist countries was better than that of capitalist countries. China's performance, forming a unique Chinese model of the epidemic prevention and control, was better than that of other socialist countries. The successful experience of Chinese model can be mainly reflected in four aspects, including resource allocation, social participation, speed and quality, system and mechanism optimization. The successful experience roots in the four institutional advantages of the leadership of the Communist Party of China (CPC), coordinated national response, basic economic system and traditional Chinese culture. In the future, Chinese government should adhere to the socialist system with Chinese characteristics and improve the public health and emergency management system. Chinese government should accelerate the construction of a community with a shared future for mankind and promote the modernization of the national governance system and governance capacity. These findings are of great significance in understanding China's prevention and control measures, the institutional advantages and subsequent optimization.

A retrospective study of traffic offenses associated with driving under the influence of drugs in China

OBJECTIVE

This study aimed to investigate the prevalence and pattern of traffic offenses associated with driving under the influence of drugs (DUID) in 31 provinces of mainland China.

METHODS

Traffic offenses were extracted from the nationally representative court file disclosure website. Drivers convicted of traffic offenses associated with DUID were included. The monthly percentage change (MPC) in rates was estimated by fitting negative binomial regression models to assess the time trends. Moran's I was used to determine the correlations of DUID-related rates among surrounding provinces.

RESULTS

In total, 896 individuals convicted of DUID offenses were identified (April 2007 to March 2022). Of these, 769 individuals were involved in traffic crashes, and they killed 629 people. Regarding the types of drugs, 638 used amphetamine-type stimulants (ATS; methamphetamine, 3,4-methylenedioxymethamphetamine, amphetamine, and tenamfetamine), 104 used ketamine, 104 used opioids (heroin, morphine, methadone, codeine, and tramadol), 20 used caffeine, 4 used tetrahydrocannabinol, and 1 used gamma-hydroxybutyric acid. The offense trends among overall drug users (MPC, -1.1; p < .001) declined from 2014 to 2020. The trends also decreased for DUID-related traffic crashes (-1.5; p < .001) and deaths (-1.7; p < .001) during the same period. Except in three provinces, ATS-related offense rates were higher than opioid-related offense rates. Ketamine-related offense rates showed a significant positive correlation among the surrounding provinces (Moran's I, 0.22; p < .01), and South China had the highest ketamine-related offense rates.

CONCLUSIONS

In the sample, the case fatality rate was 70.7%, which was a strong indicator of underreporting, and most minor DUID-related offenses could not be captured by Chinese court files. The frequency of drug screening tests for people should be increased. The traffic police in Qinghai, Tibet, and Xinjiang should always be equipped with fast screening test kits for drugs, which could increase the possibility of identifying DUID offenders.

Was China's zero-COVID policy the right choice? The multiple factor analysis of variables that affected the course of COVID-19 pandemic in China

Background

After 3 years of the COVID-19 pandemic and zero-COVID policy, a rapid increase in the number of daily COVID-19 infections was observed in China from November to December 2022. Therefore, we decided to analyze the factors that have been related to the COVID-19 pandemic in China.

Methods

The multiple factor analysis was conducted, using the data from publicly available databases from the beginning of the COVID-19 pandemic to 30 January 2023.

Results

Our study showed that each year of the pandemic in China had different profiles and can be described by different variables: year 2020 was characterized by restrictions, such as international travel controls, stay at home requirements, and health system policies including contact tracing and protection of older adults; year 2021 was characterized by Alpha, Beta, Gamma, and Delta variants; 2022 was characterized by new cases per million, Omicron lineages, and a few restrictions-related variables; and year 2023 was mainly described by the number of new deaths per million and Omicron variant 22B (BA.5) but also by testing and vaccination policies, as well as the number of people fully vaccinated per 100 and total boosters per 100.

Conclusion

The COVID-19 pandemic has changed over time. Therefore, the anti-pandemic policies implemented must be dynamic and adapted to the current situation.

Cross-cultural adaptation for international nursing students from the Belt and Road Initiative in China: A follow-up survey study

Background

and Purpose: As the number of international students from Belt and Road Initiative countries continues to increase in China, it is essential to find methods to improve cross-cultural adaptation in the host country, a crucial aspect of the experiences of international nursing students. Therefore, this study aimed to investigate the change in cross-cultural adaptation of international nursing students during the first year in China.

Methods

Data collection was conducted for international nursing students (n = 108) between September 2019 and August 2020, focusing on sociocultural adaptation, academic adaptation, and academic performance of international nursing students using validated questionnaires.

Results

The mean score at the follow-up time verified an increased level of sociocultural and academic adaptation and academic performance. Academic adaptation is a complete mediator between sociocultural adaptation and academic performance at two-time points, and the size of the mediation effect accounted for 95.9 % of the total effect in six months and 99.0 % in one year.

Conclusions

The findings emphasized the importance of sociocultural and academic adaptation in cross-cultural adaptation and suggest that educational institutions should provide learning environments supporting these factors to ensure academic success.

Interplay of Digital Proximity App Use and SARS-CoV-2 Vaccine Uptake in Switzerland: Analysis of Two Population-Based Cohort Studies

Objectives: Our study aims to evaluate developments in vaccine uptake and digital proximity tracing app use in a localized context of the SARS-CoV-2 pandemic. Methods: We report findings from two population-based longitudinal cohorts in Switzerland from January to December 2021. Failure time analyses and Cox proportional hazards regression models were conducted to assess vaccine uptake and digital proximity tracing app (SwissCovid) uninstalling outcomes. Results: We observed a dichotomy of individuals who did not use the SwissCovid app and did not get vaccinated, and who used the SwissCovid app and got vaccinated during the study period. Increased vaccine uptake was observed with SwissCovid app use (aHR, 1.51; 95% CI: 1.40-1.62 [CI-DFU]; aHR, 1.79; 95% CI: 1.62-1.99 [CSM]) compared to SwissCovid app non-use. Decreased SwissCovid uninstallation risk was observed for participants who got vaccinated (aHR, 0.55; 95% CI: 0.38-0.81 [CI-DFU]; aHR, 0.45; 95% CI: 0.27-0.78 [CSM]) compared to participants who did not get vaccinated. Conclusion: In evolving epidemic contexts, these findings underscore the need for communication strategies as well as flexible digital proximity tracing app adjustments that accommodate different preventive measures and their anticipated interactions.

Changes in human papillomavirus prevalence, incidence, and clearance among men who have sex with men in Xinjiang, China after implementation of nonpharmaceutical interventions to control COVID-19: An interrupted time series analysis

OBJECTIVES

This study aimed to assess the effects of COVID-19 nonpharmaceutical interventions (NPIs) on the human papillomavirus (HPV) epidemic among men who have sex with men (MSM) in Xinjiang, China.

METHODS

In our cohort study, we enrolled and followed HIV-negative MSM in Xinjiang, China, between 2016 and 2022. Anal swab samples were collected to test for HPV DNA. We used interrupted time series analysis to characterize the temporal trends in HPV prevalence, incidence, and clearance before (September 01, 2016, to July 16, 2020) and during the implementation of COVID-19 NPIs in Xinjiang (July 17, 2020, to March 31, 2022). We used binomial segmented regression models to estimate the impact of COVID-19 NPIs on HPV prevalence, incidence, and clearance.

RESULTS

We recruited 1296 MSM who contributed to a total of 5374 HPV tests in our study. COVID-19 NPIs were associated with a 37.9% decrease in the prevalence (prevalence ratio, 0.621; 95% confidence interval, 0.465-0.830), 52.2% decrease in the incidence (risk ratio, 0.478; 0.377-0.606), and 40.4% increase in the clearance (risk ratio, 1.404; 1.212-1.627) of HPV of any genotype after the implementation of COVID-19 NPIs in Xinjiang.

CONCLUSION

COVID-19 NPIs may lead to lower transmission and higher clearance of HPV among MSM. Future studies are needed to clarify the longer-term impact of COVID-19 on the transmission and natural history of HPV among MSM.

Impacts of the COVID-19 pandemic on life expectancy at birth in Asia

OBJECTIVE

To investigate the impact of the COVID-19 pandemic on life expectancy at birth (e0) for 51 Asian countries and territories from January 1, 2020 to December 31, 2021.

METHOD

Based on age-sex-specific mortality used for estimating the changes in e0 for years 2019, 2020, and 2021 from the 2022 revision of the World Population Prospects, we employed Arriaga's discrete method to decompose changes in e0 into both absolute and relative contributions of changes in age-specific death rate, and further obtained the age-sex-specific contribution to changes in e0 by country/territory and period (i.e., 2019-2020 and 2020-2021) for Asia.

FINDINGS

The COVID-19 pandemic reduced 1.66 years in e0 of the Asian population from 2019 to 2021, slightly lower than the world average of 1.74 years. South Asia had a high loss of 3.01 years, whereas Eastern Asia had almost no changes. Oman, Lebanon, India, Armenia, Azerbaijan, Indonesia, and the Philippines experienced a high loss of above 2.5 years in e0. Despite significant national and territorial variations, the decline of e0 in Asia was mostly from the age group of 60-79 years, followed by age groups of 80 + and 45-59 years; and age groups of children contributed little (i.e., 0-4 and 5-14 years old). Males suffered more losses than females in this pandemic. Asian nations saw less loss in e0 in the second year of the pandemic, i.e., 2020-2021, than in the first year, i.e., 2019-2020, but this recovery trend was not observed in Southern Asia and South-Eastern Asia. Countries from Central Asia and Western Asia, such as Kazakhstan, Armenia, Azerbaijan, Lebanon, and Oman, had extraordinarily more losses in e0 in the first year at ages around 70.

CONCLUSION

The COVID-19 pandemic had significantly affected e0 of Asian populations, and most contribution to the reduction of e0 came from the three older age groups, 60-79 years, 80 + years, and 45-59 years, with great variations across countries/territories. Our findings could have important implications for development of more resilient public health systems in Asian societies with better policy interventions for vulnerable demographic groups.

Cost-effectiveness of Paxlovid in reducing severe COVID-19 and mortality in China

Objectives

To assess the cost-effectiveness of Paxlovid in reducing severe COVID-19 and its associated morality, and to investigate the affordable price of Paxlovid in China.

Materials and methods

Using a Markov model, two interventions by Paxlovid prescription (with and without prescription) were compared in terms of COVID-19-related clinical outcomes and economic loss. COVID-related costs were collected from the societal perspective. Effectiveness data were obtained from literature. The primary outcomes were total social cost, disability adjusted life-years (DALYs) and net monetary benefit (NMB). Scenario analyses were performed to investigate the affordable price of Paxlovid in China. Deterministic sensitivity analyses (DSA) and probabilistic sensitivity analysis (PSA) were performed to verify the model robustness.

Results

Compared with the non-Paxlovid cohort, the NMBs of the Paxlovid cohort were only higher in the subgroup of patients aged over 80 years old, regardless of their vaccination status. Our scenario analysis found that, the price ceiling of Paxlovid/box for it to be cost-effective was RMB 8,993 (8,970-9,009) in those aged over 80 years old who were not vaccinated, which is the highest; and was RMB 35 (27-45) in those aged 40-59 years old who were vaccinated, which is the lowest. Sensitivity analyses found that the incremental NMB for the vaccinated people aged over 80 years was most sensitive to the efficacy of Paxlovid and the cost-effectiveness probability of Paxlovid increased with its decreasing price.

Conclusion

Under the current marketing price of Paxlovid/box (RMB 1,890), using Paxlovid was only cost-effective in people aged over 80 years old regardless of their vaccination status.

Flattening the Curve after the Initial Outbreak of Coronavirus Disease 2019: A Data-Driven Modeling Analysis for the Omicron Pandemic in China

China is relaxing COVID-19 measures from the "dynamic zero tolerance" (DZT) level. The "flatten-the-curve" (FTC) strategy, which decreases and maintains the low rate of infection to avoid overwhelming the healthcare system by adopting relaxed nonpharmaceutical interventions (NPIs) after the outbreak, has been perceived as the most appropriate and effective method in preventing the spread of the Omicron variant. Hence, we established an improved data-driven model of Omicron transmission based on the age-structured stochastic compartmental susceptible-latent-infectious-removed-susceptible model constructed by Cai to deduce the overall prevention effect throughout China. At the current level of immunity without the application of any NPIs, more than 1.27 billion (including asymptomatic individuals) were infected within 90 days. Moreover, the Omicron outbreak would result in 1.49 million deaths within 180 days. The application of FTC could decrease the number of deaths by 36.91% within 360 days. The strict implementation of FTC policy combined with completed vaccination and drug use, which only resulted in 0.19 million deaths in an age-stratified model, will help end the pandemic within about 240 days. The pandemic would be successfully controlled within a shorter period of time without a high fatality rate; therefore, the FTC policy could be strictly implemented through enhancement of immunity and drug use.

Future COVID-19 Booster Vaccine Refusal in Healthcare Workers after a Massive Breakthrough Infection Wave, a Nationwide Survey-Based Study

Background: An unprecedented coronavirus disease 2019 (COVID-19) wave occurred in China between December 2022 and January 2023, challenging the efficacy of the primary series of COVID-19 vaccines. The attitudes toward future COVID-19 booster vaccines (CBV) after the massive breakthrough infection among healthcare workers remain unknown. This study aimed to explore the prevalence and determinants of future CBV refusal after the unprecedented COVID-19 wave among healthcare workers. Methods: Between 9 and 19 February 2023, a cross-sectional nationwide online survey was conducted using a self-administered questionnaire vaccine among healthcare workers in China. Sociodemographics, profession, presence of chronic medical conditions, previous COVID-19 infection, attitudes towards future CBV, and reasons for future CBV refusal were collected. We estimated odds ratio [OR] with 95% confidence interval [CI] using a multivariable logistic regression model to explore the factors associated with future CBV refusal. Results: Among the 1618 participants who completed the survey, 1511 respondents with two or more doses of COVID-19 vaccines were analyzed. A total of 648 (41.8%) of respondents were unwilling to receive a future CBV. Multivariable logistic regression analysis revealed the association of CBV refusal with profession (vs. other staff, physician-adjusted OR 1.17, 95%CI 0.79-1.72, nurse-adjusted OR 1.88, 95%CI 1.24-2.85, p = 0.008), history of allergy (adjusted OR 1.72, 95%CI 1.05-2.83, p = 0.032), a lower self-perceived risk of future COVID-19 infection (p < 0.001), and a lower belief in CBV effectiveness (p = 0.014), safety (p < 0.001), and necessities for healthcare workers and the public (p < 0.001, respectively). Conclusions: Our findings highlight that a considerable proportion of healthcare workers were against a future booster dose after an unprecedented COVID-19 wave. Self-perception of future COVID-19 risk, and potential harm or doubtful efficacy of vaccines are the main determinants. Our findings may help public health authorities to establish future COVID-19 vaccination programs.

Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai

The COVID-19 pandemic has drastically affected the socioeconomic activities and peoples' daily life, resulting in a change in locational preferences in the real estate markets. Although enormous efforts have been devoted to examining the housing price impacts of the COVID-19 pandemic, little is known about the responses of the real estate markets to the evolving pandemic control measures. This study investigates the price gradient effects of various pandemic-related policy shocks using a hedonic price model on the district-level property transaction data in Shanghai, China over a 48-month period from 2018 to 2021. We found that these shocks have significantly altered the bid-rent curves. The price gradient for residential property units decreased in absolute value to - 0.433 after Wuhan's lockdown, demonstrating peoples' preferences to avoid the high infection risks in districts closer to the city center. However, in the post-reopening and post-vaccine periods, the price gradient increased to - 0.463 and - 0.486, respectively, implying rational expectations of a recovering real estate market for the low infection and mortality rates. In addition, we discovered that Wuhan's lockdown has steepened the price gradient for commercial property units, suggesting a decline in business volumes and an increase in operating costs in the low-density districts imposed by the strict pandemic control measures. This study contributes to the empirical literature on the price gradient effects of the COVID-19 pandemic by extending the study period to the post-vaccine era.

Evaluating Community Capability to Prevent and Control COVID-19 Pandemic in Shenyang, China: An Empirical Study Based on a Modified Framework of Community Readiness Model

Community plays a crucial role in the successful prevention and control of the COVID-19 pandemic in China. However, evaluation of community capability to fight against COVID-19 is rarely reported. The present study provides a first attempt to assess community capability to combat COVID-19 in Shenyang, the capital city of Liaoning province in Northeast China, based on a modified framework of a community readiness model. We conducted semi-structured interviews with ninety key informants from fifteen randomly selected urban communities to collect the data. The empirical results indicate that the overall level of community capability for epidemic prevention and control in Shenyang was at the stage of preparation. The specific levels of the fifteen communities ranged from the stages of preplanning to preparation to initiation. Concerning the level of each dimension, community knowledge about the issue, leadership, and community attachment exhibited significant disparities between communities, while there were slight differences among communities on community efforts, community knowledge of efforts, and community resources. In addition, leadership demonstrated the highest overall level among all the six dimensions, followed by community attachment and community knowledge of efforts. Community resources displayed the lowest level, followed by community efforts. This study not only extends the application of the modified community readiness model to evaluate community capability of epidemic prevention in the Chinese community context, but also offers practical implications for enhancing Chinese communities' capabilities to deal with various future public health emergencies.

Understanding self-protective behaviors during COVID-19 Pandemic: Integrating the theory of planned behavior and O-S-O-R model

Adopting health preventive actions is one of the most effective ways to combat the COVID-19 pandemic. Based on the theory of planned behavior and the orientation-stimulus-orientation-response model, this study investigated the mechanisms by which health information exposure influenced individuals to adopt self-protective behaviors in the context of infectious disease. In this research, a convenience sampling was used and 2265 valid samples (Male = 843, 68.9% of participants aged range from 18 to 24) were collected in China. Structural equation modeling analysis was performed, and the analysis showed that health consciousness positively influenced the subsequent variables through interpersonal discussions and social media exposure to COVID-19-related information. The interaction between interpersonal discussion and social media exposure was found to be positively associated with the elements of the theory of planned behavior and risk perception. The findings also revealed that self-protective behavior was positively predicted by the components of the theory of planned behavior and risk perceptions, with subjective norms serving as the main predictor, followed by attitudes and self-efficacy.

Public information needs during the COVID-19 outbreak: a qualitative study in mainland China

Purpose

The impact of COVID-19 has led to a surge in the public’s reliance on the Internet for pandemic information, and the policy of home isolation has exacerbated this. This study aimed to investigate public information needs and ways of accessing and disseminating information during COVID-19 in mainland China.

Design/methodology/approach

This study used a qualitative research approach to conduct semi-structured interviews with 15 participants from 9 cities in mainland China about information needs and access behaviors during the COVID-19 outbreak. All interview recordings were converted into text and proofread, then coded and summarised in correspondence with the research questions using the grounded theory.

Findings

This study summarized the dynamics of public information needs during the 2.5-year pandemic and identified the difficulties in accessing certain information.

Originality/value

Although information needs of public health emergencies have been a hot topic during COVID-19, scant studies focus on information needs in specific countries in Asia, especially in mainland China, the first country with a major outbreak and stringent lockdown mandates. Therefore, the current study is well enriched by focusing on information demand behavior in the context of COVID-19. Possible measures for improvement were also given to existing and potential problems, taking into account the participants’ views.

Protecting public's wellbeing against COVID-19 infodemic: The role of trust in information sources and rapid dissemination and transparency of information over time

Objectives

This study examined how trust in the information about COVID-19 from social media and official media as well as how the information was disseminated affect public's wellbeing directly and indirectly through perceived safety over time.

Methods

Two online surveys were conducted in China, with the first survey (Time1, N = 22,718) being at the early stage of the pandemic outbreak and the second one (Time 2, N = 2,901) two and a half years later during the zero-COVID policy lockdown period. Key measured variables include trust in official media and social media, perceived rapid dissemination and transparency of COVID-19-related information, perceived safety, and emotional responses toward the pandemic. Data analysis includes descriptive statistical analysis, independent samples t-test, Pearson correlations, and structural equation modeling.

Results

Trust in official media, perceived rapid dissemination and transparency of COVID-19-related information, perceived safety, as well as positive emotional response toward COVID-19 increased over time, while trust in social media and depressive response decreased over time. Trust in social media and official media played different roles in affecting public's wellbeing over time. Trust in social media was positively associated with depressive emotions and negatively associated with positive emotion directly and indirectly through decreased perceived safety at Time 1. However, the negative effect of trust in social media on public's wellbeing was largely decreased at Time 2. In contrast, trust in official media was linked to reduced depressive response and increased positive response directly and indirectly through perceived safety at both times. Rapid dissemination and transparency of COVID-19 information contributed to enhanced trust in official media at both times.

Conclusion

The findings highlight the important role of fostering public trust in official media through rapid dissemination and transparency of information in mitigating the negative impact of COVID-19 infodemic on public's wellbeing over time.

Aggressive behavior, boredom, and protective factors among college students during closed-off management of the COVID-19 pandemic in China

Background

Chinese colleges have implemented strict closed-off management in response to the outbreak of a new variant of the new coronavirus, Omicron. But such management measures may lead to more aggressive behavior. The study aimed to determine the associations between boredom and aggressive behavior with aggression and to examine the impact of boredom on aggression through the moderating role of cognitive flexibility.

Methods

The Multidimensional State Boredom Scale, the Reactive-Proactive Aggression Questionnaire, and the Cognitive Flexibility Inventory were applied to a sample of 719 college students who were in a closed-off management environment.

Results

For individuals with high cognitive flexibility, the relationship between state boredom and proactive aggression was not significant. The relationship between state boredom and proactive aggression was significantly positively correlated for individuals with low cognitive flexibility, especially low substitutability. Cognitive flexibility has no significant moderating effect on the relationship between state boredom and reactive aggression.

Conclusion

The findings highlighted the importance of boredom as a potential risk factor for aggression, while cognitive flexibility appears as a potential protective factor.

The status of infection prevention and control structures in Eastern China based on the IPCAF tool of the World Health Organization

Background

The burden of healthcare-associated infections (HAIs) and the spread of antimicrobial resistance can be potentially preventable through comprehensive infection prevention and control (IPC) programs. However, information on the current state of IPC implementation is rare in China.

Methods

A cross-sectional study was conducted in Zhejiang province, China, from April to June 2021. The Zhejiang nosocomial infection control and quality improvement center (NICQI) cooperated with 11 municipal NICQI centers to introduce the purpose of this study and invite all licensed secondary and tertiary hospitals in Zhejiang province through WeChat group. The questionnaire had three sections, including information about participating hospitals, demographic information about IPs, and the Chinese version of the Infection Prevention and Control Assessment Framework that covered eight core components (CC).

Results

Of the 382 hospitals invited, 222 (58.1% response rate) accepted and completed the online questionnaire. The overall median score of the participating hospitals was 682 (630–723), which corresponded to an advanced level of IPC. There was a significant difference in scores between hospitals types (P < 0.001). Profound differences were revealed regarding the scores of the individual components, with CC2 (IPC guidelines) and CC6 (Monitoring/audit of IPC practices and feedback) having the highest (100) and lowest (65) median scores, respectively. Only 23 (10.4%) hospitals reported assessing facility safety culture.

Conclusions

IPC structures are at a relatively high level in acute care hospitals in Eastern China. The identified potential areas for improvement were similar to those identified in developed countries, particularly regarding multimodal strategies for implementation and safety culture construction. Meanwhile, the Chinese government should pay more attention to IPC resources and practices among secondary care hospitals.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13756-022-01087-x.

Gender-Specific Effect of Couple-Based Intervention on Behavioral and Psychological Outcomes of Older Adults with Type 2 Diabetes during the COVID-19 Partial Lockdown in Guangzhou, China

This study aimed to evaluate the gender-specific effect of a couple-based intervention on the management behaviors and mental well-being of community-dwelling older adults with type 2 diabetes mellitus during the COVID-19 partial lockdown in Guangzhou. Out of 207 participants involved in a prior randomized controlled trial (Trial no. ChiCTR1900027137), 156 (75%) completed the COVID-19 survey. Gendered differences in management behaviors and depressive symptoms between the couple-based intervention group and the patient-only control group were compared by distance to the high-risk areas cross-sectionally and longitudinally using random intercept models. Cross-sectionally, female patients of the intervention group had more positive behavior change scores (β = 1.53, p = 0.002) and fewer depressive symptoms (β = −1.34, p = 0.02) than the control group. Over time, female patients lived closer to the high-risk areas (<5 km) and showed decreasing depressive symptoms (β = −4.48, p = 0.008) in the intervention group vs. the control group. No statistically significant between-group difference was found for males. Females tended to benefit more from the coupled-based intervention than males did, particularly among these closer to the high-risk areas. Chronic disease management can be better sustained with active spousal engagement.

Prevalence and Disability-Adjusted Life Year Rates of Asthma in China: Findings from the GBD Study 2019 of the G20

BACKGROUND

The credible materials about the burden of asthma in China when compared to other countries in the group of twenty (G20) remain unavailable.

OBJECTIVES AND DESIGN

Following the popular analysis strategy used in the Global Burden of Disease Study, the age-, sex-, country-specific prevalence, and disability-adjusted life years (DALYs) of asthma in China were analyzed. Meanwhile, the comparison in trends between China and other countries in the G20 was also evaluated.

RESULTS

In 2019, asthma was the 8th leading cause of the DALYs' burden of 369 diseases in China. From 1990 to 2019, the age-standardized prevalence and DALY rates of asthma in China decreased by 14% and 51%, respectively; further, the decline rate of DALYs was much higher than the global average (-51%: -43%). It is worth noting that the overall population age-standardized DALYs rate of asthma in China was the lowest in the G20 during 2019 (102.81, 95% UI: (72.30,147.42)/100,000). Moreover, the age-standardized asthma prevalence rate peaks in both childhood (178.14, 95% UI: (90.50, 329.01)/100,000) and the elderly (541.80, 95% UI: (397.79, 679.92)/100,000). Moreover, throughout the study, subjects in the 5 to 9 years old interval were a constant focus of our attention.

CONCLUSIONS

The disease burden of asthma has varied greatly by gender and age over the past 30 years. In contrast to the increasing burden in most other G20 countries, the age-standardized prevalence rate of asthma shows a significant decreasing trend in China, however, the age-standardized DALYs rate shows a fluctuating change, and has even shown a rebound trend in recent years.

Analysis of the epidemiological characteristics between 2004 and 2017 and prediction of the changing pattern of other infectious diarrhea (OID) under COVID-19 in China

The study describes epidemiological features and transmission of other infectious diarrhea (OID) before and during the epidemic of COVID-19 in China, which lays a foundation for OID prevention and control. Incidence rate and mortality data of OID containing detailed epidemiological information such as date, age and region from 2004 to 2017, and total OID case number from 2018 to 2020 were obtained from the Data Center of China's Public Health Science and the National Bureau of Statistics' statistical yearbook. The Joinpoint regression model and Z test was used to analyze, while R language and ArcGIS 10.5 for drawing. The autoregressive integrated moving average model was used to predict the influence of COVID-19 on OID. The OID incidence rate increased from 31.69/10 million in 2004 to 92.42/10 million in 2017, and the mortality rate decreased from 1.82/10,000 to 0.14/10,000. The male to female incidence ratio was 1.39:1 (P < .001). The patients' age showed a decreased trend with age (P < .001). The scattered children devoted the most OID incidence rate. The bimodal distribution of OID incidence was summer peak in northern China, 2 apparent peaks in central and eastern, and winter peak in southern. The autoregressive integrated moving average model predicted 1,406,557 in 2020, comparing the actual OID cases in 2020 to 1,062,277. Affected by the epidemic control measures of COVID-19, the number of OID cases declined by 32.4% (Absolute percentage error = 32.4%). The OID incidence rate in China continuously increased and showed a bimodal distribution in summer and winter with inconspicuous regional characteristics, gender and age susceptibility differences, and occupational differences. Meanwhile, COVID-19 significantly reduced OID incidence in 2020. The discoveries might bring a beneficial effect on OID prevention and control policies.

Benefits of an online multimodal nursing program among patients with peripherally inserted central catheter-related thrombosis

Background

Asymptomatic peripherally inserted central catheter-related thrombosis (PICC-RT) is one of the most common and dangerous complications caused by peripherally inserted central catheter (PICC) insertion. A variety of factors might lead to huge psychological pressures on patients and markedly affect their quality of life. The aim of this study was to evaluate the benefits of an online multimodal nursing program on the quality of life and psychological resilience of asymptomatic PICC-RT patients with ovarian cancer.

Methods

This was a prospective cohort study on patients with asymptomatic PICC-RT. Patients in the control group received routine nursing care, while patients in the intervention group obtained extra assistance through an online multimodal nursing program. Individual guidance, psychological support, and real-time consultation were provided to patients in the intervention group. All participants were followed for 3 months. The health-related quality of life and psychological resilience of patients were evaluated by using the 36-item Short Form Health Survey (SF-36) and Connor-Davidson Resilience Scale (CD-RISC), respectively.

Results

Compared to baseline, most of the items in the SF-36 scores were significantly increased in both intervention and control groups after 3 months (all p < 0.05), except for the role emotional domain (p = 0.085 in control group). However, the SF-36 scores of the intervention group were significantly higher than those of the control group in All health domains, including physical functioning (p = 0.001), role physical (p = 0.004), bodily pain (p = 0.003), general health (p < 0.001), vitality (p < 0.001), social functioning (p < 0.001), role emotional (p = 0.002), mental health (p < 0.001) and health transition (p < 0.001). For CD-RISC scores, the mean value of the control group was 42.03 ± 4.42 at baseline and increased to 50.36 ± 4.70 after 3 months (p < 0.001), while the intervention group was 40.00 ± 6.61 at baseline and increased to 65.12 ± 5.21 after 3 months (p < 0.001). Moreover, the CD-RISC score in the intervention group was significantly higher than that in the control group after 3 months (p < 0.001).

Conclusion

The application of an online multimodal nursing program could significantly improve the health-related quality of life and psychological resilience of asymptomatic PICC-RT patients. These findings provide evidence to support the necessity of an online multimodal nursing program in routine long-term follow-up, especially in the era of COVID-19.

Roles and Challenges for Village Doctors in COVID-19 Pandemic Prevention and Control in Rural Beijing, China: A Qualitative Study

Objectives

Rural areas in China are more vulnerable to COVID-19 pandemic than urban areas, due to their far fewer health care resources. Village doctors, as rural grassroots health workers in China, have been actively engaged in the pandemic prevention and control. This study aims to describe the roles of village doctors in rural China, and the challenges they have faced during the prevention and control of the COVID-19 pandemic.

Setting

This study was conducted in three towns in Huairou District, Beijing, China.

Design

We carried out semi-structured interviews with 75 key informants. All the interviews were audio-recorded and transcribed verbatim. We employed thematic analysis to define themes and sub-themes from the qualitative data.

Results

We reported four themes. First, the village doctor guided the village committee to carry out decontamination, monitored home-isolated residents, and disseminated knowledge on prevention of the COVID-19 pandemic during the rural pandemic prevention and control. Second, they took pandemic prevention measures in village clinics, distributed pandemic prevention materials, and undertook pre-screening triage. Third, village doctors provided basic medical care, including treatment of common diseases as well as the purchase and delivery of medicines to villagers. Fourth, village doctors faced difficulties and challenges, such as inadequate medical skills, aging staff structure, and lack of pandemic prevention materials.

Conclusions

Despite many difficulties and challenges, village doctors have actively participated in rural pandemic prevention and control, and made outstanding contributions to curbing spread of COVID-19 pandemic in rural areas. Village doctors provide basic health care while participating in various non-medical tasks.

Investigation of Antibody Levels During Three Doses of Sinopharm/BBIBP Vaccine Inoculation

Levels of neutralizing antibodies (NAb) after vaccine against coronavirus disease 2019 (COVID-19) can be detected using a variety of methods. A critical challenge is how to apply simple and accurate methods to assess vaccine effect. In a population inoculated with three doses of the inactivated Sinopharm/BBIBP vaccine, we assessed the performance of chemiluminescent immunoassay (CLIA) in its implementation to detect severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) specific antibodies, as well as the antibody kinetics of healthcare workers throughout the course of vaccination. The antibody levels of NAb, the receptor-binding-domain (RBD) antibodies and IgG peaked one month after the second and remained at a relatively high level for over three months after the booster injection, while IgM and IgA levels remained consistently low throughout the course of vaccination. The production of high-level neutralizing antibodies is more likely when the inoculation interval between the first two doses is within the range of one to two months, and that between the first and booster dose is within 230 days. CLIA showed excellent consistency and correlation between NAb, RBD, and IgG antibodies with the cytopathic effect (CPE) conventional virus neutralization test (VNT). Receiver operating characteristic (ROC) analysis revealed that the optimal cut-off levels of NAb, RBD and IgG were 61.77 AU/ml, 37.86 AU/ml and 4.64 AU/ml, with sensitivity of 0.833, 0.796 and 0.944, and specificity of 0.768, 0.750 and 0.625, respectively, which can be utilized as reliable indicators of COVID-19 vaccination immunity detection.

COVID-19 and Internet Hospital Development in China

Since 2018, the access policy for Internet hospitals has been issued in China. So far, thousands of Internet hospitals have been approved to operate and have played a significant role during the COVID-19 pandemic. While front-line hospitals strive to treat patients, Internet hospitals take the responsibility to guide patients to seek appropriate medical treatment and meet the urgent needs of chronic patients through online medical follow-up, payment, and drug distribution. This paper is based on Internet medical policies and interviews with doctors working with Internet hospitals, aiming to study the development of Internet hospitals in China through the management of the COVID-19 outbreak and the Chinese healthcare strategy on the national level.

Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO

Background

The COVID-19 has been spreading globally since 2019 and causes serious damage to the whole society. A macro perspective study to explore the changes of some social-related indexes of different countries is meaningful.

Methods

We collected nine social-related indexes and the score of COVID-safety-assessment. Data analysis is carried out using three time series models. In particular, a prediction-correction procedure was employed to explore the impact of the pandemic on the indexes of developed and developing countries.

Results

It shows that COVID-19 epidemic has an impact on the life of residents in various aspects, specifically in quality of life, purchasing power, and safety. Cluster analysis and bivariate statistical analysis further indicate that indexes affected by the pandemic in developed and developing countries are different.

Conclusion

This pandemic has altered the lives of residents in many ways. Our further research shows that the impacts of social-related indexes in developed and developing countries are different, which is bounded up with their epidemic severity and control measures. On the other hand, the climate is crucial for the control of COVID-19. Consequently, exploring the changes of social-related indexes is significative, and it is conducive to provide targeted governance strategies for various countries. Our article will contribute to countries with different levels of development pay more attention to social changes and take timely and effective measures to adjust social changes while trying to control this pandemic.

Public Policy Measures to Increase Anti-SARS-CoV-2 Vaccination Rate in Russia

The total vaccination rate remains relatively low in Russia as of March 2022 (around 55%, with around 20% in some regions). In the paper, we study the reasons for it. We communicate the results of our survey aimed at detecting reasons for the relatively low anti-SARS-CoV-2 vaccination rate in Russia (47.1% as of mid-January 2022) and suggest potential measures to increase the level of confidence in the Russian vaccination campaign. A total of 14,310 users exhibited interest to participate in the research (16.84% of the total number of invitations sent in the Russian social network VKontakte). After the sample set repair, only 5822 (40.68% of those who agreed to participate) responses were suitable for the research, and they composed the final set. The age range of the respondents was 16–51 years old (y.o.) with a mean of 29.1 ± 10.6 y.o. The proportion of the female gender in responses was 44.23%. A total of 2454 persons (42.15%) expressed their hesitant, cautious, or negative attitude towards vaccine uptake. Of the 2454 persons with cautious attitude towards vaccination, only 928 (37.82%) were concerned about the quality of the Russian vaccines. A total of 1323 individuals (53.91%) supported one or more conspiracy beliefs. A total of 5064 (86.98% of the whole set) showed cautious or negative attitude towards the planned introduction of a nationwide system of vaccination certification/verification based on QR codes. The main social factors that hinder the Russian vaccination campaign are: vexation over the lack of desire of officials to receive feedback from the general population regarding vaccination, wide support for conspiracy beliefs, and controversy over the QR code-based digital system. To elevate the vaccination rate in Russia, the following steps may be taken: social encouragement of those who support vaccination, increase in transparency of the vaccination campaign, acceptance of both digital and paper vaccination certificates, increase in participation of society in vaccination-related discussions, public disclosure of vaccine composition, and avoidance of excessive digitalization of data in the vaccination campaign.

Establishing and evaluating physician-pharmacist collaborative clinics to manage patients with type 2 diabetes in primary hospitals in Hunan province: study protocol of a multi-site randomized controlled trial in the era of COVID-19 pandemic

Background

The COVID-19 pandemic has exerted an unprecedented and universal impact on global health system, resulting in noticeable challenges in traditional chronic disease care, of which diabetes was reported to be most influenced by the reduction in healthcare resources in the pandemic. China has the world’s largest diabetes population, and current diabetes management in China is unsatisfactory, particularly in rural areas. Studies in developed countries have demonstrated that physician-pharmacist collaborative clinics are efficient and cost-effective for diabetes management, but little is known if this mode could be adapted in primary hospitals in China. The aim of this proposed study is to develop and evaluate physician-pharmacist collaborative clinics to manage type 2 diabetes mellitus (T2DM) in primary hospitals in Hunan province.

Methods

A multi-site randomized controlled trial will be conducted to evaluate the effectiveness and cost-effectiveness of the physician-pharmacist collaborative clinics compared with usual care for Chinese patients with T2DM. Six primary hospitals will participate in the study, which will recruit 600 eligible patients. Patients in the intervention group will receive services from both physicians and pharmacists in the collaborative clinics, while the control group will receive usual care from physicians. Patients will be followed up at the 3rd, 6th, 9th and 12th month. Comparison between the two groups will be conducted by assessing the clinical parameters, process indicators and costs on diabetes. A satisfaction survey will also be carried out at the end of the study.

Discussion

If effective, the physician-pharmacist collaborative clinics can be adapted and used in primary hospitals of China to improve glycemic control, enhance medication adherence, decrease incidence of complications and reduce patients’ dependence on physicians. Findings from the present study are meaningful for developing evidence-based diabetes care policy in rural China, especially in the COVID-19 pandemic era.

Trial registration

Chinese Clinical Trial Registry, ChiCTR2000031839, Registered 12 April 2020.

How to organise travel restrictions in the new future: lessons from the COVID-19 response in Hong Kong and Singapore

It has been nearly 2 years since the first case of COVID-19 was reported. Governments worldwide have introduced numerous non-pharmaceutical interventions (NPIs) to combat this disease. Many of these NPIs were designed in response to initial outbreaks but are unsustainable in the long term. Governments are exploring how to adjust their current NPIs to resume normal activities while effectively protecting their population. As one of the most controversial NPIs, the implementation of travel restrictions varies across regions. Some governments have abandoned their previous travel restrictions because of the induced costs to society and on the economy. Other areas, including Hong Kong (Special Administrative Region of China) and Singapore, continue employing these NPIs as a long-term disease prevention tactic. However, the multidimensional impacts of travel restrictions require careful consideration of how to apply restrictions more appropriately. We have proposed an adapted framework to examine Hong Kong and Singapore’s travel restrictions. We aimed to study these two regions’ experiences in balancing disease control efforts with easing the burden on lives and livelihoods. Based on the experiences of Hong Kong and Singapore, we have outlined six policy recommendations to serve as the cornerstone for future research and policy practices.

Identifying COVID-19 Infections From a Vaccinated Population Using Specific IgA Antibody Test

We analyzed the serum from COVID-19 patients and vaccinated subjects, and found that the specific IgA titer level could be used to assist COVID-19 diagnosis, especially in China.

An IoT-Based COVID-19 Prevention and Control System for Enclosed Spaces

To date, the protracted pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had widespread ramifications for the economy, politics, public health, etc. Based on the current situation, definitively stopping the spread of the virus is infeasible in many countries. This does not mean that populations should ignore the pandemic; instead, normal life needs to be balanced with disease prevention and control. This paper highlights the use of Internet of Things (IoT) for the prevention and control of coronavirus disease (COVID-19) in enclosed spaces. The proposed booking algorithm is able to control the gathering of crowds in specific regions. K-nearest neighbors (KNN) is utilized for the implementation of a navigation system with a congestion control strategy and global path planning capabilities. Furthermore, a risk assessment model is designed based on a “Sliding Window-Timer” algorithm, providing an infection risk assessment for individuals in potential contact with patients.

Public Health Measures During the COVID-19 Pandemic Reduce the Spread of Other Respiratory Infectious Diseases

Background: Public health measures (such as wearing masks, physical distancing, and isolation) have significantly reduced the spread of the coronavirus disease-2019 (COVID-19), but the impact of public health measures on other respiratory infectious diseases is unclear.

Objective: To assess the correlation between public health measures and the incidence of respiratory infectious diseases in China during the COVID-19 pandemic.

Methods: We collected the data from the National Health and Construction Commission in China on the number of patients with six respiratory infectious diseases (measles, tuberculosis, pertussis, scarlet fever, influenza, and mumps) from 2017 to 2020 and assessed the correlation between public health measures and the incidence of respiratory infectious diseases. Finally, we used the data of the six respiratory infectious diseases in 2021 to verify our results.

Results: We found public health measures significantly reduced the incidence of measles (p = 0.002), tuberculosis (p = 0.002), pertussis (p = 0.004), scarlet fever (p = 0.002), influenza (p = 0.034), and mumps (p = 0.002) in 2020, and prevented seasonal peaks. Moreover, the effects of public health measures were most marked during the peak seasons for these infections. Of the six respiratory infectious diseases considered, tuberculosis was least affected by public health measures.

Conclusion: Public health measures were very effective in reducing the incidence of respiratory infectious diseases, especially when the respiratory infectious diseases would normally have been at their peak.