Advancements in acne detection: application of the CenterNet network in smart dermatology.

Introduction: Acne detection is critical in dermatology, focusing on quality control of acne imagery, precise segmentation, and grading. Traditional research has been limited, typically concentrating on singular aspects of acne detection. Methods: We propose a multi-task acne detection method, employing a CenterNet-based training paradigm to develop an advanced detection system. This system collects acne images via smartphones and features multi-task capabilities for detecting image quality and identifying various acne types. It differentiates between noninflammatory acne, papules, pustules, nodules, and provides detailed delineation for cysts and post-acne scars. Results: The implementation of this multi-task learning-based framework in clinical diagnostics demonstrated an 83% accuracy in lesion categorization, surpassing ResNet18 models by 12%. Furthermore, it achieved a 76% precision in lesion stratification, outperforming dermatologists by 16%. Discussion: Our framework represents a advancement in acne detection, offering a comprehensive tool for classification, localization, counting, and precise segmentation. It not only enhances the accuracy of remote acne lesion identification by doctors but also clarifies grading logic and criteria, facilitating easier grading judgments.

Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques.

Skin diseases pose significant challenges in China. Internet health forums offer a platform for millions of users to discuss skin diseases and share images for early intervention, leaving large amount of valuable dermatology images. However, data quality and annotation challenges limit the potential of these resources for developing diagnostic models. In this study, we proposed a deep-learning model that utilized unannotated dermatology images from diverse online sources. We adopted a contrastive learning approach to learn general representations from unlabeled images and fine-tuned the model on coarsely annotated images from Internet forums. Our model classified 22 common skin diseases. To improve annotation quality, we used a clustering method with a small set of standardized validation images. We tested the model on images collected by 33 experienced dermatologists from 15 tertiary hospitals and achieved a 45.05% top-1 accuracy, outperforming the published baseline model by 3%. Accuracy increased with additional validation images, reaching 49.64% with 50 images per category. Our model also demonstrated transferability to new tasks, such as detecting monkeypox, with a 61.76% top-1 accuracy using only 50 additional images in the training process. We also tested our model on benchmark datasets to show the generalization ability. Our findings highlight the potential of unannotated images from online forums for future dermatology applications and demonstrate the effectiveness of our model for early diagnosis and potential outbreak mitigation.

Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text.

Background: Due to the lower reliability of laboratory tests, skin diseases are more suitable for diagnosis with AI models. There are limited AI dermatology diagnostic models combining images and text; few of these are for Asian populations, and few cover the most common types of diseases. Methods: Leveraging a dataset sourced from Asia comprising over 200,000 images and 220,000 medical records, we explored a deep learning-based system for Dual-channel images and extracted text for the diagnosis of skin diseases model DIET-AI to diagnose 31 skin diseases, which covers the majority of common skin diseases. From 1 September to 1 December 2021, we prospectively collected images from 6,043 cases and medical records from 15 hospitals in seven provinces in China. Then the performance of DIET-AI was compared with that of six doctors of different seniorities in the clinical dataset. Results: The average performance of DIET-AI in 31 diseases was not less than that of all the doctors of different seniorities. By comparing the area under the curve, sensitivity, and specificity, we demonstrate that the DIET-AI model is effective in clinical scenarios. In addition, medical records affect the performance of DIET-AI and physicians to varying degrees. Conclusion: This is the largest dermatological dataset for the Chinese demographic. For the first time, we built a Dual-channel image classification model on a non-cancer dermatitis dataset with both images and medical records and achieved comparable diagnostic performance to senior doctors about common skin diseases. It provides references for exploring the feasibility and performance evaluation of DIET-AI in clinical use afterward.

Comparative effectiveness and safety of drug therapy for chronic urticaria: a network meta-analysis and risk-benefit assessment.

BACKGROUND: Chronic urticaria (CU) is a prevalent chronic skin condition characterized by recurrent wheals. Clinical guidelines recommend multiple drugs for CU treatment. Our study aims to compare the effectiveness and safety of drug therapy for CU. METHODS: We conducted a comprehensive search of randomized controlled trials (RCTs) and real-world studies (RWSs) in PubMed, EMBASE, and Cochrane. A network meta-analysis (NMA) was conducted to assess the response rate, decline in Urticaria Activity Score over 7 Days (UAS7), Dermatology Life Quality Index (DLQI), and adverse event rates of standard-dose and high-dose H1 antihistamine (H1AH), omalizumab (OMA) 75, 150, and 300 mg, cyclosporine and placebo. The risk-benefit assessment was conducted by probabilistic simulation and stochastic multicriteria acceptability analysis (SMAA). RESULTS: A total of 39 studies were identified, including 37 RCTs and 2 RWSs. OMA 300 mg and 150 mg both had significantly higher response rate than standard-dose H1AH (p < 0.05, respectively). OMA 300 mg and 150 mg both consistently led to a huge drop in UAS7 and DLQI compared to standard-dose H1AH and high-dose H1AH (p < 0.05). CONCLUSION: Regarding risk-benefit assessment, OMA 300 mg emerges as the optimal pharmacological intervention for CU, while OMA 150 mg stands as a secondary alternative compared to H1 antihistamines and cyclosporine.

Adjusting zinc deposition behaviors by a modified separator to acquire zinc anodes for aqueous rechargeable zinc-ion batteries.

Aqueous rechargeable zinc ion batteries (ARZIBs) are ideal for massive and longstanding energy storage applications because of their excellent security and low operation cost. Nevertheless, ARZIBs are subject to the severe corrosion reaction of zinc metal anodes that is derived from the thermodynamic unsteadiness of the zinc anodes in aqueous solution, as well as zinc dendrite growth originating from uncontrolled zinc deposition. Herein, we created a separator by coating a thin piece of polypropylene (PP) with a compound consisting of zinc trifluoromethanesulfonate [Zn(OTf)2] and poly(vinylidene fluoride-hexafluoropropylene (PVDF-HFP). Consequently, the severe corrosion reaction of the zinc metal anodes and the profuse formation of zinc dendrites were effectively mitigated by the novel PP separator, which prolonged the lifetime of the zinc metal anodes. When a zinc metal plating layer was used with preferential (002) crystallographic orientation, the cyclic performance over 1100 h of the symmetrical Zn∥Zn battery based on the novel separator was steady. Additionally, the Zn∥MnO2 batteries exhibited an impressive specific capacity and competitive long durability of 75.5% over 500 cycles at a current density of 0.1 A g-1. With this work, we intend to set the standard for designing novel separators in the construction of advanced zinc anodes for high-performance ARZIBs.

Investigation of in situ sulfide/nitride/phosphide treatments of hematite photoanodes for improved solar water oxidation.

Surface catalyst engineering can effectively improve the photoelectrochemical water splitting (PEC-WS) performance of semiconductor photoelectrodes. In situ surface functional treatments can effectively reduce interface defects and improve photogenerated carrier transport. In this study, FTO/Sn@α-Fe2O3/FeOOH photoanodes were modified with in situ sulfide/nitride/phosphide treatments to improve their PEC-WS performance. Compared with the pure α-Fe2O3 photoanode, the photocurrent densities of FTO/Sn@α-Fe2O3/FeOOH photoanodes after sulfide/nitride/phosphide treatments increased from 0.88 to 3.38 mA cm-2 at 1.23 VRHE. The onset potential showed a cathode shift of 0.1 V. Photoelectrochemical analyses and theoretical calculation demonstrated that the surface engineering by sulfide/nitride/phosphide treatments can significantly reduce surface defects, enhance electrical conductivity and promote photogenerated carrier separation and transfer efficiency by regulating interface charge transfer, binding energy and internal electric field. The formation of an FeSx catalyst and N/P coordination complexes in the sulfide/nitride/phosphide processes on the surface of α-Fe2O3 photoanodes can effectively reduce photogenerated carrier recombination. This work provides experimental and theoretical support for surface structure design and improved photoelectric conversion performance of semiconductor photoelectrode materials.

The abscopal effect of anti-CD95 and radiotherapy in melanoma.

BACKGROUND: Radiotherapy (RT) is frequently adopted to control cancer cell proliferation, which is achieved by altering the tumor microenvironment (TME) and immunogenicity. Apoptosis of cancer cells is the major effect of radiation on tumor tissues. Fas/APO-1(CD95) receptors on the cell membrane are death receptors that can be activated by diverse factors, including radiation and integration with CD95L on CD8+ T cells. The abscopal effect is defined as tumor regression out of the local RT field, and it is produced through anti-tumor immunity. The immune response against the radiated tumor is characterized by the cross-presentation between antigen-presenting cells (APCs), which includes cytotoxic T cells (CTLs) and dendritic cells (DCs). METHODS: The effect of activation and radiation of CD95 receptors on melanoma cell lines was examined in vivo and in vitro. In vivo, bilateral lower limbs were given a subcutaneous injection of a dual-tumor. Tumors in the right limb were radiated with a single dose of 10 Gy (primary tumor), while tumors in the left limb (secondary tumor) were spared. RESULTS: The anti-CD95 treatment plus radiation (combination treatment) reduced growth rates of both primary and secondary tumors relative to the control or radiation groups. In addition, higher degrees of infiltrating CTLs and DCs were detected in the combination treatment compared to the other groups, but the immune response responsible for secondary tumor rejection was not proven to be tumor specific. In vitro, combination treatment combined with radiation resulted in further apoptosis of melanoma cells relative to controls or cells treated with radiation. CONCLUSIONS: Targeting CD95 on cancer cells will induce tumor control and the abscopal effect.

Severe cutaneous adverse reactions to drugs: A real-world pharmacovigilance study using the FDA Adverse Event Reporting System database.

Background: Sound drug safety information is important to optimize patient management, but the widely recognized comprehensive landscape of culprit-drugs that cause severe cutaneous adverse reactions (SCARs) is currently lacking. Objective: The main aim of the study is to provide a comprehensive landscape of culprit-drugs for SCARs to guide clinical practice. Methods: We analyzed reports associated with SCARs in the FDA Adverse Event Reporting System database between 1 January 2004 and 31 December 2021 and compiled a list of drugs with potentially serious skin toxicity. According to this list, we summarized the reporting proportions of different drugs and drug classes and conducted disproportionality analysis for all the drugs. In addition, the risk characteristic of SCARs due to different drugs and drug classes was summarized by the positive-negative distribution based on the results of the disproportionality analysis. Results: A total of 77,789 reports in the FDA Adverse Event Reporting System database were considered SCAR-related, of which lamotrigine (6.2%) was the most reported single drug followed by acetaminophen (5.8%) and allopurinol (5.8%) and antibacterials (20.6%) was the most reported drug class followed by antiepileptics (16.7%) and antineoplastics (11.3%). A total of 1,219 drugs were reported as culprit-drugs causing SCARs in those reports, and the largest number of drugs belonged to antineoplastics. In disproportionality analysis, 776 drugs showed at least one positive pharmacovigilance signal. Drugs with the most positive signals were lamotrigine, acetaminophen, furosemide, and sulfamethoxazole/trimethoprim. Conclusion: Our study provided a real-world overview of SCARs to drugs, and the investigation of SCAR positive-negative distribution across different drugs revealed its risk characteristics, which may help optimize patient management.

Efficacy of abrocitinib for atopic dermatitis: a meta-analysis of randomized controlled trials.

Introduction: The efficacy of abrocitinib for atopic dermatitis remains controversial. Aim: We conducted a systematic review and meta-analysis to explore the influence of abrocitinib versus placebo on the treatment of atopic dermatitis. Material and methods: We searched PubMed, Embase, Web of Science, EBSCO, and Cochrane Library databases up to June 2021 for randomized controlled trials (RCTs) assessing the effect of abrocitinib versus placebo for patients with atopic dermatitis. This meta-analysis was performed using a random-effect model. Results: Four RCTs involving 932 patients were included in the meta-analysis. Overall, compared with the control group for atopic dermatitis, abrocitinib has a remarkably positive impact on IGA response (OR = 6.60; 95% CI: 4.41-9.87; p < 0.00001), EASI-75 (OR = 9.19; 95% CI: 6.20-13.61; p < 0.00001), EASI-90 (OR = 10.50; 95% CI: 5.54-19.93; p < 0.0001), NRS response (OR = 6.99; 95% CI: 4.43-11.01; p < 0.00001) and adverse events (OR = 1.76; 95% CI: 1.23-2.52; p = 0.002), but showed no obvious influence on serious adverse events (OR = 0.53; 95% CI: 0.20-1.44; p = 0.22). Conclusions: Abrocitinib exerts a favorable effect on the treatment of atopic dermatitis.

Facile Synthesis of NixCo3-xS4 Microspheres for High-Performance Supercapacitors and Alkaline Aqueous Rechargeable NiCo-Zn Batteries.

Electrochemical energy storage devices (EESDs) have caused widespread concern, ascribed to the increasing depletion of traditional fossil energy and environmental pollution. In recent years, nickel cobalt bimetallic sulfides have been regarded as the most attractive electrode materials for super-performance EESDs due to their relatively low cost and multiple electrochemical reaction sites. In this work, NiCo-bimetallic sulfide NixCo3-xS4 particles were synthesized in a mixed solvent system with different proportion of Ni and Co salts added. In order to improve the electrochemical performance of optimized Ni2.5Co0.5S4 electrode, the Ni2.5Co0.5S4 particles were annealed at 350 °C for 60 min (denoted as Ni2.5Co0.5S4-350), and the capacity and rate performance of Ni2.5Co0.5S4-350 was greatly improved. An aqueous NiCo-Zn battery was assembled by utilizing Ni2.5Co0.5S4-350 pressed onto Ni form as cathode and commercial Zn sheet as anode. The NiCo-Zn battery based on Ni2.5Co0.5S4-350 cathode electrode delivers a high specific capacity of 232 mAh g-1 at 1 A g-1 and satisfactory cycling performance (65% capacity retention after 1000 repeated cycles at 8 A g-1). The as-assembled NiCo-Zn battery deliver a high specific energy of 394.6 Wh kg-1 and long-term cycling ability. The results suggest that Ni2.5Co0.5S4-350 electrode has possible applications in the field of alkaline aqueous rechargeable electrochemical energy storage devices for supercapacitor and NiCo-Zn battery.

Facile synthesis of mesoporous Ni x Co9-x S8 hollow spheres for high-performance supercapacitors and aqueous Ni/Co-Zn batteries.

Porous micro/nanostructure electrode materials have always contributed to outstanding electrochemical energy storage performances. Co9S8 is an ideal model electrode material with high theoretical specific capacity due to its intrinsic two crystallographic sites of cobalt ions. In order to improve the conductivity and specific capacitance of Co9S8, nickel ions were introduced to tune the electronic structure of Co9S8. The morphology design of the mesoporous hollow sphere structure guarantees cycle stability and ion diffusion. In this work, Ni x Co9-x S8 mesoporous hollow spheres were synthesized via a facile partial ion-exchange of Co9S8 mesoporous hollow spheres without using a template, boosting the capacitance to 1300 F g-1 at the current density of 1 A g-1. Compared with the pure Co9S8 and Ni-Co9S8-30%, Ni-Co9S8-60% exhibited the best supercapacitor performance, which was ascribed to the maximum Ni ion doping with morphology and structure retention, enhanced conductivity and stabilization of Co3+ in the structure. Therefore, Ni/Co-Zn batteries were fabricated by using a Zn plate as the anode and Ni-Co9S8-60% as the cathode, which deliver a high energy density of 256.5 W h kg-1 at the power density of 1.69 kW kg-1. Furthermore, the Ni/Co-Zn batteries exhibit a stable cycling after 3000 repeated cycles with capacitance retention of 69% at 4 A g-1. This encouranging result might provide a new perspective to optimize Co9S8-based electrodes with superior supercapacitor and Ni/Co-Zn battery performances.

Copper Cobalt Sulfide Structures Derived from MOF Precursors with Enhanced Electrochemical Glucose Sensing Properties.

Nonenzymatic electrochemical detection of glucose is popular because of its low price, simple operation, high sensitivity, and good reproducibility. Co-Cu MOFs precursors were synthesized via the solvothermal way at first, and a series of porous spindle-like Cu-Co sulfide microparticles were obtained by secondary solvothermal sulfurization, which maintained the morphology of the MOFs precursors. Electrochemical studies exhibit that the as-synthesized Cu-Co sulfides own excellent nonenzymatic glucose detection performances. Compared with CuS, Co (II) ion-doped CuS can improve the conductivity and electrocatalytic activity of the materials. At a potential of 0.55 V, the as-prepared Co-CuS-2 modified electrode exhibits distinguished performance for glucose detection with wide linear ranges of 0.001-3.66 mM and high sensitivity of 1475.97 µA·mM-1·cm-2, which was much higher than that of CuS- and Co-CuS-1-modified electrodes. The constructed sulfide sensors derived from MOF precursors exhibit a low detection limit and excellent anti-interference ability for glucose detection.

Silver-Rich Hybrid Framework Iodide Based on [Ag8I6]2+ Clusters Displays Low-Temperature Dual Emission and Luminescence Thermochromism.

Cluster-based framework metal iodides have diverse structures and excellent luminescence properties, and show promising applications in sensing and solid-state lighting. However, the design and synthesis of these materials remain great challenges because excess I- ions introduced into the synthesis systems decrease the condensation degree of M-I units. In this work, a new strategy is developed to control the condensation behavior of Ag-I units, and a new silver-rich cluster-based framework iodide [DabcoAg8I6(SPh)2]n (1) (Dabco = 1,4-diazabicyclo [2.2.2] octane) has been synthesized under solvothermal conditions in the presence of silver thiophenolate (AgSPh)n. Compound 1 features a three-dimensional (3-D) cluster-based framework with a pillared layer structure composed of cationic [Ag8I6]2+ clusters bridged by SPh- and Dabco, and displays low-temperature dual emission and luminescence thermochromism.

Expression of Helper and Regulatory T Cells in Atopic Dermatitis: A Meta-Analysis.

Background: Atopic dermatitis (AD) is a common inflammatory skin disease, with the incidence peaks in infancy. A meta-analysis was performed to assess the levels of T helper type 22 (Th22) cells, T helper type 17 (Th17) cells, interleukin (IL)-17, and Tregs in peripheral blood of patients with AD. Methods: A comprehensive literature search was performed in PubMed, Embase, China National Knowledge Internet, and Wan-fang Data from the day of inception of this study to July 2021. Two authors independently extracted the data, which were pooled and calculated using Stata software version 15. Results: A total of eight studies met the inclusion criteria. Compared with control group, patients with AD had an increased proportion of Th22 cells [weighted mean difference (WMD) = 2.07, 95% CI (1.33, 2.81), p < 0.001], Th17 cells [WMD = 1.04, 95% CI [0.66, 1.43], p < 0.001], IL-17 [WMD = 17.56, 95% CI (11.1, 24.03), p < 0.001], and a decreased proportion of Tregs [WMD = -2.49, 95% CI (-2.93, -2.05), p < 0.001] in peripheral blood. The subgroup analysis showed that patients with higher disease severity had higher levels of Th22 [mild: WMD = 1.33, 95% CI (1.24, 1.41), p < 0.001; moderate: WMD = 1.41, 95% CI (1.36, 1.54), p < 0.001; severe: WMD = 3.46, 95% CI (3.34, 2.81), p < 0.001] and lower levels of Tregs [mild: WMD = -1.43, 95% CI (-1.75, -1.11), p < 0.001; moderate: WMD = -2.16, 95% CI (-2.46, -1.86), p < 0.001; severe: WMD = -2.96, 95% CI (-3.25, -2.67), p < 0.001] in peripheral blood compared to healthy controls. Conclusion: The random effect model of the meta-analysis showed patients with AD had an increased proportion of Th22 cells, Th17 cells, and IL-17, whereas a decreased proportion of Tregs was found in peripheral blood. The results demonstrated that Th22 cells, Th17 cells, IL-17, and Tregs may be involved in the pathogenic mechanisms of AD.

Synthesis of bimetallic nickel cobalt selenide particles for high-performance hybrid supercapacitors.

Supercapacitors are known as promising excellent electrochemical energy storage devices because of their attractive features, including quick charge and discharge, high power density, low cost and high security. In this work, a series of litchi-like Ni-Co selenide particles were synthesized via a simple solvothermal method, and the Ni-Co compositions were carefully optimized to tune the charge storage performance, charge storage kinetics, and conductivity for battery-like supercapacitors. Interestingly, the optimal sample Ni0.95Co2.05Se4 exhibits a high capacity of 1038.75 F g-1 at 1 A g-1 and superior rate performance (retains 97.8% of the original capacity at 4 A g-1). Moreover, an asymmetric supercapacitor device was assembled based on the Ni0.95Co2.05Se4 cathode and activated carbon anode. The device of Ni0.95Co2.05Se4//active carbon (AC) reveals a peak energy density of 37.22 W h kg-1, and the corresponding peak power density reaches 800.90 W kg-1. This work provides a facile and effective way to synthesize transition metal selenides as high-performance supercapacitor electrode materials.

Skin Immunosenescence and Type 2 Inflammation: A Mini-Review With an Inflammaging Perspective.

Skin-resident stromal cells, including keratinocytes, fibroblasts, adipocytes, and immune cells including Langerhans cells, dendritic cells, T cells, and innate lymphoid cells, and their functional products work in concert to ensure the realization of skin barrier immunity. However, aging-induced immunosenescence predisposes the elderly to pruritic dermatoses, including type 2 inflammation-mediated. Inflammaging, characterized by chronic low level of pro-inflammatory cytokines released from senescent cells with the senescence-associated secretory phenotype (SASP), may drive immunosenescence and tangle with type 2 inflammatory dermatoses. The present mini-review summarizes current evidence on immunosenescence and type 2 inflammation in the skin and further focuses on future needs from an inflammaging perspective to clarify their complexity.

Efficacy and safety of ebastine dose escalation in chronic urticaria: A prospective study.

The second-generation antihistamines at licensed doses are first-line treatment in urticaria and up-dosing is recommended as second-line treatment. To assess the efficacy and safety of escalated doses of ebastine in patients with chronic urticaria (CU), we designed this study. Recruited patients with CU were treated with increasing doses of ebstine. Treatment started at the daily dose of 10 mg. The symptom is assessed weekly, and if there is no significant improvement, the dose is increased from 10 mg to 20 mg, and if still no significant improvement, up to 40 mg. Pruritus, number, diameter, duration and frequency of wheals, and adverse reactions were assessed. One hundred and forty (76.50%) patients achieved marked effect with ebastine 10 mg/day, 27 (14.75%) patients with ebastine 20 mg/day and 13 (7.10%) patients with ebastine 40 mg/day, while 3(1.64%) patients did not get marked effect. There was no significant difference of effect between factitious urticaria, CSU, cholinergic urticaria and CSU with factitious urticaria in different dose (all p > 0.05). Common adverse reactions of ebstine treatment, included dry mouth, somnolence, tiredness and headache, were mild or moderate. There was no significant difference between the degree score of dry mouth with different doses of ebastine, and the same to somnolence, tiredness and headache (all p > 0.05). Doses escalation of ebastine should be effective in treatment of factitious urticaria, CSU and cholinergic urticaria with poorly treated by standard of double doses. Increasing ebastine dose did not increase the incidence of adverse reactions.

Analysis on the spatio-temporal evolution and influencing factors of China's grain production.

The rapid economic development and climate change have accelerated the changes in China's food production and have a potential impact on food security. In this paper, the grain sown area from 2001 to 2019 was selected to analyze the spatio-temporal evolution and driving factors of China's grain production through spatial autocorrelation analysis and geographically weighted regression. Our findings were as follows: (1) From the perspective of time characteristics, China's grain production from 2001 to 2019 experienced four stages, rapid decline, rapid growth, steady growth, and slow decline, although with an overall upward trend. (2) From the perspective of spatial characteristics, the overall spatial pattern had a significant positive correlation. The high values were mainly concentrated in Shandong, Anhui, and Jilin and moved to the northeast China as time went on. (3) In terms of influencing factors, the positive impact of agricultural labor force on the grain production gradually decreased, showing a decreasing trend from southwest to northeast. The promotion of agricultural mechanization on the grain production increased year by year, with the spatial distribution characteristics of high in the northeast and low in the southwest. Besides, the coefficient of water resources endowment was negative, showing a spatial distribution pattern of high north and low south.

Spatio-temporal characteristics and control strategies in the early period of COVID-19 spread: a case study of the mainland China.

COVID-19 has caused huge impacts on human health and the economic operation of the world. Analyzing and summarizing the early propagation law can help reduce the losses caused by public health emergencies in the future. Early data on the spread of COVID-19 in 30 provinces (autonomous regions and municipalities) of mainland China except for Hubei, Hong Kong, Macao, and Taiwan were selected in this study. Spatio-temporal analysis, inflection point analysis, and correlation analysis are used to explore the spatio-temporal characteristics in the early COVID-19 spread. The results suggested that (1) the total confirmed cases have risen in an "S"-shaped curve over time, and the daily new cases have first increased and finally decreased; (2) the spatial distributions of both total and daily new cases show a trend of more in the east and less in the west, with a "multi-center agglomeration distribution" around Hubei Province and some major cities; (3) the spatial agglomeration of total confirmed cases has been increasing over time, while that of the daily new cases shows much more obvious in the mid-stage; and (4) timely release of the first-level public health emergency response can accelerate the emergence of the epidemic inflection point. The above analysis results have a specific reference value for the government's policy-making and measures to face public health emergencies.