The Effect of Coronavirus 2019 Disease Control Measures on the Incidence of Respiratory Infectious Disease and Air Pollutant Concentrations in the Yangtze River Delta Region, China

Wang, Lan; Wang, Kehan; Zhong, Hui; Zhao, Na; Xu, Wangli; Yang, Yongxue; He, Yiran; Liu, Shelan

doi:10.3390/ijerph19031286

Cited by 8 publications

(6 citation statements)

References 22 publications

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“…State Council of the People's Republic of China revised the Law of the People's Republic of China on prevention and control of infectious diseases in 2013 and 2020 4 . Moreover, several studies reported that strict precautionary measures for control of COVID‐19 epidemic including lockdowns, homestays, school closures, wearing masks, and washing hands frequently might result in changes of an epidemic of infectious disease including respiratory infectious disease, digestive tract and animal‐borne diseases, and so forth 13,14 . Therefore, it is necessary to understand the latest epidemiological characteristics of infectious diseases in China to provide a reference for summarizing the effects of past measures and formulating targeted measures in the future.…”

Section: Introductionmentioning

confidence: 99%

“…4 Moreover, several studies reported that strict precautionary measures for control of COVID-19 epidemic including lockdowns, homestays, school closures, wearing masks, and washing hands frequently might result in changes of an epidemic of infectious disease including respiratory infectious disease, digestive tract and animal-borne diseases, and so forth. 13,14 Therefore, it is necessary to understand the latest epidemiological characteristics of infectious diseases in China to provide a reference for summarizing the effects of past measures and formulating targeted measures in the future. 15 Through the system, hospitals, and clinics from all 31 provinces in the Chinese mainland could report confirmed cases of infectious disease directly to the county and national Center for Disease Control and Prevention (CDC), allowing real-time information to be delivered to a central database.…”

Section: Introductionmentioning

confidence: 99%

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Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019

Wang

Yuan

et al. 2022

Journal of Medical Virology

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Research assessing the changing epidemiology of infectious diseases in China after the implementation of new healthcare reform in 2009 was scarce. We aimed to get the latest trends and disparities of national notifiable infectious diseases by age, sex, province, and season in China from 2010 to 2019. The number of incident cases and deaths, incidence rate, and mortality of 44 national notifiable infectious diseases by sex, age groups, and provincial regions from 2010 to 2019 were extracted from the China Information System for Disease Control and Prevention and official reports and divided into six kinds of infectious diseases by transmission routes and three classes (A–C) in this descriptive study. Estimated annual percentage changes (EAPCs) were calculated to quantify the temporal trends of incidence and mortality rate. We calculated the concentration index to measure economic‐related inequality. Segmented interrupted time‐series analysis was used to estimate the impact of the COVID‐19 pandemic on the epidemic of notifiable infectious diseases. The trend of incidence rate on six kinds of infectious diseases by transmission routes was stable, while only mortality of sexual, blood‐borne, and mother‐to‐child‐borne infectious diseases increased from 0.6466 per 100 000 population in 2010 to 1.5499 per 100 000 population in 2019 by 8.76% per year (95% confidence interval [CI]: 6.88–10.68). There was a decreasing trend of incidence rate on Class‐A infectious diseases (EAPC = −16.30%; 95% CI: −27.93 to −2.79) and Class‐B infectious diseases (EAPC = −1.05%; 95% CI: −1.56 to −0.54), while an increasing trend on Class‐C infectious diseases (EAPC = 6.22%; 95% CI: 2.13–10.48). For mortality, there was a decreasing trend on Class‐C infectious diseases (EAPC = −14.76%; 95% CI: −23.46 to −5.07), and an increasing trend on Class‐B infectious diseases (EAPC = 4.56%; 95% CI: 2.44–6.72). In 2019, the infectious diseases with the highest incidence rate and mortality were respiratory diseases (340.95 per 100 000 population), and sexual, blood‐borne, and mother‐to‐child‐borne infectious diseases (1.5459 per 100 000 population), respectively. The greatest increasing trend of incidence rate was observed in seasonal influenza, from 4.83 per 100 000 population in 2010 to 253.36 per 100 000 population in 2019 by 45.16% per year (95% CI: 29.81–62.33), especially among females and children aged 0–4 years old. The top disease with the highest mortality was still AIDs, which had the highest average yearly mortality in 24 provinces from 2010 to 2019, and its incidence rate (EAPC = 14.99%; 95% CI: 8.75–21.59) and mortality (EAPC = 9.65; 95%CI: 7.71–11.63) both increased from 2010 to 2019, especially among people aged 44–59 years old and 60 or older. Male incidence rate and mortality were higher than females each year from 2010 to 2018 on 29 and 10 infectious diseases, respectively. Additionally, sex differences in the incidence and mortality of AIDS were becoming larger. The curve lay above the equality line, with the negative value of...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019

Wang

Yuan

et al. 2022

Journal of Medical Virology

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“…The reduction in influenza cases detected during COVID-19 times might be due to many reasons, which include (i) reduced number of people with ILI/SARI visiting the health facilities as a result of mobility restrictions and lockdowns, (ii) reduced number of samples reaching the laboratory due to change in surveillance protocols, or (iii) reduced transmission of influenza virus due to implementation of non-pharmacological interventions to curb COVID-19, such as prohibition of public gatherings, closing of schools and workplaces, social distancing, use of masks, and improved hand hygiene. There is sound evidence from China, Hong Kong, USA, Singapore, and Australia that there was indeed a reduction in transmission of influenza and other respiratory diseases during the COVID-19 times [5,[14][15][16].…”

Section: Discussionmentioning

confidence: 99%

Trends in Influenza Infections in Three States of India from 2015–2021: Has There Been a Change during COVID-19 Pandemic?

et al. 2022

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The COVID-19 pandemic and public health response to the pandemic has caused huge setbacks in the management of other infectious diseases. In the present study, we aimed to (i) assess the trends in numbers of samples from patients with influenza-like illness and severe acute respiratory syndrome tested for influenza and the number and proportion of cases detected from 2015–2021 and (ii) examine if there were changes during the COVID-19 period (2020–2021) compared to the pre-COVID-19 period (2015–2019) in three states of India. The median (IQR) number of samples tested per month during the pre-COVID-19 period was 653 (395–1245), compared to 27 (11–98) during the COVID-19 period (p value < 0.001). The median (IQR) number of influenza cases detected per month during the pre-COVID-19 period was 190 (113–372), compared to 29 (27–30) during the COVID-19 period (p value < 0.001). Interrupted time series analysis (adjusting for seasonality and testing charges) confirmed a significant reduction in the total number of samples tested and influenza cases detected during the COVID-19 period. However, there was no change in the influenza positivity rate between pre-COVID-19 (29%) and COVID-19 (30%) period. These findings suggest that COVID-19-related disruptions, poor health-seeking behavior, and overburdened health systems might have led to a reduction in reported influenza cases rather than a true reduction in disease transmission.

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“…The SARS-CoV-2 virus had a prompt worldwide spread since it was first identified in December 2019 in Wuhan City, Hubei Province, China [ 1 , 2 , 3 ]. The new coronavirus has a genetic sequence similar to that of the first coronavirus SARSCoV, the virus that caused the 2003 severe acute respiratory syndrome (SARS) pandemic [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Characterization and Outcomes of SARS-CoV-2 Infection in Overweight and Obese Patients: A Dynamic Comparison of COVID-19 Pandemic Waves

Fericean

Cîtu

Manolescu

et al. 2022

JCM

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There are few data on the dynamics of SARS-CoV-2 viral manifestations in obese and overweight persons during each of the five waves that occurred in Romania during the last two years. As such, the purpose of this research was to characterize the variance in case severity, symptomatology, ICU hospitalizations, and mortality among overweight and obese individuals infected with the SARS-CoV-2 virus. We included 250 overweight and obese patients admitted to hospital with COVID-19, where 50 patients were selected from each of the five pandemic waves that existed in Romania until March 2022. A total of 113 patients with normal body mass index were included in the study. They were matched with overweight and obese patients by age, gender, and cardiovascular comorbidities to avoid the effect of confounding factors. Between the five waves of the COVID-19 pandemic in Romania, the present investigation found substantial changes in overweight and obese patient features. Obesity increases the risk of hospitalization, severe complications, and mortality from COVID-19. However, this unique demographic is disproportionately affected by obesity-related comorbidities, which contribute to these adverse outcomes. We advocate for the development of new guiding principles for the formulation of healthcare strategies aimed at high-prevalence special populations such as overweight and obese individuals, while also promoting pandemic containment and avoiding the recurrence of pandemic waves with the same guidelines that proved detrimental in terms of economic and human life loss.

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The Effect of Coronavirus 2019 Disease Control Measures on the Incidence of Respiratory Infectious Disease and Air Pollutant Concentrations in the Yangtze River Delta Region, China

Cited by 8 publications

References 22 publications

Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019

Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019

Trends in Influenza Infections in Three States of India from 2015–2021: Has There Been a Change during COVID-19 Pandemic?

Characterization and Outcomes of SARS-CoV-2 Infection in Overweight and Obese Patients: A Dynamic Comparison of COVID-19 Pandemic Waves

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