ABSTRACT
Background Chinese government conducted unprecedented massive public health prevention interventions at the national level, which have effectively contained the spread of Coronavirus Disease 2019 (COVID-19) infections. Specifically, the outbreak in Wuhan has been effectively controlled. Meanwhile, the Chinese efforts to contain the virus have been widely recognized. Even the World Health Organization has praised the efforts of the Chinese government and advised other countries to learn from China's experience in the fight against COVID-19. However, the measures that have been conducted by China to effectively prevent the spread of COVID 19 in the country have not been rigorously analyzed. Therefore, this study aimed to explore the characteristics of China's control and prevention strategies, and identify the elements that changed the epidemiological curve of rapidly rising new confirmed cases of COVID-19. Methods Public health intervention measures and their effects on the spread of COVID-19 in terms of daily newly confirmed and cumulative cases were collected between January 20, 2020, and March 5. Notices of the Joint Prevention and Control Mechanism for COVID-19 of the State Council on Implementing Measures in Hubei were collected. Information obtained by relevant important documents and announcements was collected from the official website of the Chinese government. Additionally, from other media platforms, news, articles, and reviews were used to explain the intervention measure. Thus, using these data, we performed a retrospective description of the intervention strategies at three stages. Results The Chinese government adopted non-pharmacological interventions measures (NPIs) timely and efficiently. On February 20, the declining epidemic trend in China indicated that the three strictest disease prevention and control strategies issued by the Hubei Government had contributed to a smooth decline in the spread of the epidemic. Conclusions The NPIs taken by China play a decisive role to control the spread of novel coronavirus outbreaks. Further research and action are needed to ensure a sufficiently sensitive surveillance system and strong response mechanism, including the establishment of a highly accessible laboratory network, maintenance of awareness of both primary healthcare providers and the public, and regular training and exercise of local Centers for Disease Control and Prevention and general practitioners in the community-level.
ABSTRACT
Backgrounds: To determine the differences in clinical manifestations and biomarker levels of Corona Virus Disease 2019 (COVID-19) patients, including common patients and severe (serious and critical) patients.Methods: A total of 89 COVID-19 patients were diagnosed and treated at the First Affiliated Hospital of Nanchang University. We clinically classified the patients and collected data. Findings: There was a higher proportion of confirmed cases in patients with type A blood (44.8%). There were no obvious differences in number of lung lobes involved in the lesion between the patients with or without a positive nucleic acid test (p>0.05).There were obvious differences in contact history (p<0.001), duration of symptoms (p=0.004), and respiratory rate (p=0.029) between the patients with or without a positive nucleic acid test. According to the results of the nucleic acid diagnosis test, there were no obvious differences in the number of lung lobes involved in the lesion and all items of routine blood, liver, and kidney function tests between the patients with or without positive nucleic acid tests (all p>0.05). Between the common patients and severe patients, there were obvious differences in age (p=0.006), duration of symptoms (p=0.001), diastolic blood pressure (p=0.046), lymphocyte count (p＜0.0001), neutrophil count (p=0.019), albumin (p=0.002), lactate dehydrogenase (p=0.007), calcium (p＜0.0001), C-reactive protein (CRP) (p=0.004), erythrocyte sedimentation rate (p=0.021), international standard ratio (p=0.020), and CD3 (p=0.001), CD3+CD4 (p=0.006), and CD3+CD8 (p=0.001) levels. In patients infected with SARS-COV-2, the number of lung lobes involved in the lesion were positively correlated with lymphocytes (R=0.261, p=0.044); the body mass index (BMI) values were positively correlated with the number of lung lobes involved in the lesion (R=0.320, P=0.034); the age (R=0.391, p<0.001) and respiratory rate (R=0.352, p=0.001) were positively correlated with neutrophil count; and the age (R=0.349, p=0.001) and the number of lung lobes involved in the lesion (R=0.422, p=0.001) were positively correlated with CRP.Conclusion: Patients with blood type A may be more susceptible to SARS-COV-2. The decrease in lymphocytes may indicate the aggravation of COVID-19, whereas the number of lung lobes involved in the lesion may not be a valid criterion for COVID-19 diagnosis.