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Objective: To explore the distribution and correlation of pathogens in the elderly patients with AECOPD, so as to guide the rational use of antibiotics and hormones in clinic. Methods: A total of 111 patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) admitted to Nanjing First Hospital from January 2019 to January 2020 were retrospectively analyzed. The basic data such as eosinophil, neutrophil and lymphocyte count, the levels of C-reactive protein(CRP) and erythrocyte sedimentation rate (ESR)in blood routine examination were collected. Further, the pathogens were qualified by sputum fluorescence quantitative polymerase chain reaction, and the pathogens distribution was analyzed. Results: The level of ESR and the ratio of cardiovascular diseases showed significant differences between the pathogen-positive group and pathogen-negative group. In this study, the top five pathogens in AECOPD patients were EB virus (21.6%), Haemophilus influenzae (19.8%), Streptococcus pneumoniae (17.1%), herpes simplex virus(14.4%), influenza A virus(14.4%). The detection rate of influenza A virus was correlated with influenza B virus and Aspergillus (P < 0.05);The detection rate of respiratory syncytial virus was correlated with Candida, Moraxella catarrholis, Streptococcus pneumoniae and Haemophilus influenzae (P < 0.05);The detection rate of Escherichia coli was correlated with rhinovirus, adenovirus, Klebsiella pneumoniae and Acinetobacter baumannii (P < 0.05);The detection rate of Candida was correlated with that of Moraxella catarrholis and Pseudomonas aeruginosa(P<0.05);The detection rate of human coronavirus was correlated with Haemophilus influenzae, herpes simplex virus and Streptococcus pneumoniae(P < 0.05). Conclusions: AECOPD are mostly induced by different pathogens, especially mixed infection of bacteria and virus. It is helpful to guide the rational use of antibiotics by analyzing the etiological characteristics in the elderly patients with AECOPD.
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The COVID-19 pandemic has hit the global restaurant business hard, especially dine-in. However, it has also provided opportunities for online dining, with takeout becoming a fulcrum for the economic resilience of the urban restaurant industry. Currently, research on the factors affecting takeout order demand under the pandemic has been inadequate. Therefore, this study uses multisource data from Nanjing to explore the changes in takeout order demand as the pandemic develops. And based on the Light gradient boosting machine (Light GBM) model, the nonlinear relationship between the built environment and order demand under different periods of pandemic is investigated, and the important factors affecting the demand are obtained. The results show that daily orders on average during COVID-19 decline by 25.6% than before COVID-19, while during the stabilization phase of the pandemic, they are 20.0% higher than before COVID-19. According to the relative importance ranking of factors in the model, land use diversity and road design influence takeout the most and the crucial influencing factors vary across pandemic periods. In the postpandemic era, special attention needs to be paid to the impact of the number of restaurants, colleges, offices, and main roads on takeout services. In addition, the thresholds of key built environment factors through partial dependency plots can enhance operators' understanding of takeout services and provide suggestions for the spatial layout of takeout resources. While satisfying people's dietary needs, the role of takeout in restoring the restaurant economy can be better utilized. [ FROM AUTHOR] Copyright of Journal of Advanced Transportation is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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OBJECTIVE: To investigate the immune antibodies in blood specimens of 95 health care workers vaccinated with inactivated 2019-nCoV vaccines and explore the rules and characteristics of production of antibodies after vaccination. METHODS: From Oct 2020 to Jul 2021, the venous blood specimens were collected from 95 health care workers of the 305 Hospital of PLA after the injection of 2 doses of 2019-nCoV vaccines fo30 days, 65 days, 91 days, 6 months and 9 months. SARS-CoV-2 immunoglobin(Ig) M, IgG and titers of neutralizing antibodies and total antibodies were detected by chemiluminescence immunoassay, the results of antibody tests were dynamically analyzed, the immune durability of the antibody, influencing factors and correlation were determined. RESULTS: Almost all of the subjects produced IgG, neutralizing antibody and total antibody, some subjects retained high level of IgM titer. Smoking could affect the production of total antibody. The subjects of the low body weight group produced higher level of IgG, and there was no significant difference when the weight was over 60 kg. The titers of the four types of antibodies decreased significantly at the following time points, and the positive rates of all the antibodies were less than 50% except for IgG after the vaccination for 9 months. CONCLUSION: Specific IgM and IgG, neutralizing antibody and total antibody can be produced after the 2-doses vaccination of inactivated 2019-nCoV vaccines. But the titers and positive rates of the antibodies decrease with time, which means the protective effects on the body decrease. Therefore, in order to improve the autoimmunity against novel coronavirus, one booster vaccination of an inactivated 2019-nCoV vaccine will be necessary after the 2 doses of vaccination for 6 months.
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With the long-lasting impact of the COVID-19 pandemic, online learning has gradually become one of the mainstream learning methods in Chinese universities. The effectiveness of online learning is significantly influenced by learning engagement, and studies into this topic can help learners by providing them with process-based learning support and focused teaching interventions. Based on the online learning environment, this research constructs an online learning engagement analysis model. Additionally, this study explores the relationship between students' online learning engagement and their online learning performance by taking the Secondary School Geography Curriculum Standards and Textbooks Research, a small-scale private online course (SPOC) of the geography education undergraduate course at Nanjing Normal University, as an example. The findings are as follows: In the cognitive engagement dimension, only "analyze” is significantly positively correlated with learning performance;in the behavioral engagement dimension, the "number of question and answer (Q&A) topic posts,” the "replies to others,” and the "teachers' replies” are all significantly positively correlated with learning performance. In terms of the emotional engagement dimension, "curiosity” and "pleasure” are positively correlated with learning performance;as for the social engagement dimension, "point centrality” and "intermediary centrality” are positively correlated with learning performance. The findings of this case study reveal that the student's engagement in higher-order cognitive learning is obviously insufficient. Students' online learning performance can be enhanced both by behavioral engagement in knowledge reprocessing and positive emotional engagement. Further research should be focused on finding ways to increase students' enthusiasm for social engagement. © 2023 by the authors.
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BackgroundThe COVID-19 has brought double pressure on the work and psychology of innovation and entrepreneurship personnel, which is prone to anxiety. Positive psychology can promote the all-round development of human body and mind. Therefore, under the epidemic environment, the research uses positive psychology to intervene and treat the psychological diseases of innovative and entrepreneurial personnel, and alleviate their psychological anxiety.Subjects and MethodsThe study randomly selected 128 people who will carry out innovation and entrepreneurship from 2021 to 2022. The study used positive psychology to intervene 128 people, and judged their mental health status through their work enthusiasm and psychological resilience. In the experiment, P < 0.05 indicates that the difference is statistically significant, and t-test is conducted. After the experiment, SPSS21.0 was used for statistical analysis of the data. The experimental results are shown in Table 1.Table 1.Changes in work enthusiasm and resilience of innovation and entrepreneurship personnel before and after intervention-Before interventionAfter interventiontPWork enthusiasmSelf-assessment5.27±0.457.91±0.4233.540<0.001Mutual evaluation8.07±0.279.10±0.3617.757<0.001Resilience levelTenacity28.31±5.2935.60±4.418.450<0.001Self-improvement19.52±1.4622.77±2.0910.142<0.001Optimistic11.85±1.4216.47±2.5612.566<0.001ResultsBefore the intervention, the self-assessment result of innovation and entrepreneurship personnel's work enthusiasm was 5.27 ± 0.45 points, and the mutual evaluation result was 7.91 ± 0.42 points;After intervention, it was 7.91 ± 0.42 points and 9.10 ± 0.36 points. At the same time, after the intervention, the scores of three indicators in the scores of employees' resilience level have increased. To sum up, positive psychology has effectively alleviated the psychological anxiety of innovation and entrepreneurship personnel. In addition, P < 0.001 indicates that the difference of the study has statistical significance.ConclusionsThe external environment of innovation and entrepreneurship in the context of the COVID-19 has gradually become worse, which has brought a lot of psychological pressure to innovation and entrepreneurship personnel, thus causing psychological diseases. The study used positive psychology to intervene, and the experimental results showed that positive psychological coping intervention for innovative entrepreneurs during the COVID-19 epidemic could effectively alleviate their psychological anxiety.AcknowledgementsThe research is supported by: the Key Construction Base of Philosophy and Social Sciences in Jiangsu Province, Research Center of Industrial Transformation and Innovation Development in Southern Jiangsu Province, No. 2018ZDJD-B008.
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Sustainable development is central to the current societal functioning, whose complexity demands consideration on a regional scale. However, there are disparate methods to express sustainable development, many of which use qualitative analysis cumbersome for policy-makers. Previous studies focused on environmental, economic, and social impacts without fully considering the regulation mechanisms of the plethora of administrative bodies. To fill this research gap, this research establishes an integrated assessment framework involving four pillars: environment and ecology, society and culture, economics, and governance and policy. Further, indicator systems and quantitative analysis give comparable and objective results. The current study applied them to one of the most economically significant and developed Chinese regions, the Yangtze River Delta. The result shows a dynamic variation in regional sustainability from 2010 to 2019, indicating an annual increase. Although economic and societal development has been increasing steadily, environmental development has stagnated in the past two years, and the influencing policy has fluctuated dramatically. Our analysis was done in Shanghai, Jiangsu, Zhejiang, and Anhui. Even though all regions showed increasing sustainability, we observed an imbalance in regional sustainable development. Achieving a regional approach and enhanced regional coordination in the Yangtze River Delta is imperative and cannot be ignored by local, regional, and national policy-makers. More importantly, this study created a model capable of predicting the impact of the COVID-19 epidemic on regional sustainable development. The model showed that, compared with predicted values, a 6.65% decrease in the integrated sustainability index ensued, attributed to the pandemic in Zhejiang province. © 2022 Elsevier Ltd
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Objective: Taking the three outbreaks caused by Delta variant (B.1.617.2) in Guangzhou, Guangdong Province, Nanjing, Jiangsu Province and Zhengzhou, Henan Province as examples, to explore different transmission pattern of SARS-CoV-2 epidemic and to provide basis for scientific prevention and control.
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This research uses panel data of cities in Jiangsu from 2009 to 2018 to construct a resilience framework that measures the level of urban resilience. A combination of the entropy method, Theil index, Moran ' sI , and the Spatial Durbin Model (SDM) is used to explore regional resilience development differences, the spatial correlation characteristics of urban resilience, and its influencing factors. The study finds that: (1) The spatial heterogeneity of regional resilience development is significant, as the overall level of resilience presents a spatial distribution pattern of descending from southern Jiangsu to central Jiangsu and to northern Jiangsu. (2) The total Theil index shows a wave-like downward trend during the study period. The differences between southern Jiangsu, central Jiangsu, and northern Jiangsu make up the main reason for the overall difference of urban resilience in Jiangsu Province. Among the three regions, the gap in resilience development level within southern Jiangsu is the largest. (3) There is a clear positive spatial correlation between urban resilience in the province and an obvious agglomeration trend of urban resilience levels. Among all subsystems, urban ecological resilience is the weakest and needs to be further improved. (4) Lastly, among the five factors affecting urban resilience, general public fiscal expenditure/GDP, which characterizes government factors, has the largest positive impact on urban resilience, while foreign trade has a negative impact. In the following studies, the theme of urban resilience should be constantly deepened, and more extensive data monitoring should be carried out for the urban system to improve the diversity of data sources, so as to assess urban resilience more accurately. Supplementary Information: The online version contains supplementary material available at 10.1007/s11069-022-05368-x.
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OBJECTIVE: To analyze theconstruction of infectious diseases departments and fever clinics in medical institutions at all levels in Jiangsu Province after the COVID-19 epidemic, and to provide a basis for promoting their standardized construction. METHODS: A questionnaire survey was conducted on the construction of infectious diseases departments and fever clinics in 429 medical institutions of Jiangsu Province from July to December 2020, including the overview of medical institutions, the construction status of infectious diseases departments, the construction status and future construction plans of fever clinics, etc. RESULTS: The construction rate of infectious diseases department and fever clinics in medical institutions of Jiangsu province were 33.3% and 75.3% respectively. Ventilation by opening window for was the main form of airflow organization in infectious diseases department and fever clinics, and independent ICUs and negative pressure wards were not set up in most of infectious diseases departments. The setting rate of "three zones and two channels" in fever clinics was high(96.9%), but most of them were not equipped with special CT for fever clinics patients. The proportion of air conditioning and ventilation system without air disinfection devices in the of fever clinics of medical institutions at all levels was higher than 90%. Considering the both hardware construction and quality management, the situation in tertiary medical institutions were superior to secondary medical institutions, and secondary medical institutions were superior to primary medical institutions. Various construction indicators and management systems failed to fully meet the requirements of documents and standards. CONCLUSION: Jiangsu province actively promotes the construction of infectious diseases department and fever clinic layout, but there is still a gap with the construction standard, which is necessary to further promote standardized construction. We should mend the shortages, strengthen the weakness, expand the bases, comprehensively improve the service and anti-epidemic capacity of infectious diseases departments, fever clinics and even the entire medical and health system, so as to better serve the health and life safety of the people.
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OBJECTIVE: To explore the construction mode of full-time staff for infection control in prefecture-level cities under the background of the COVID-19 pandemic, and to lay a foundation for infection control of epidemic prevention and control and medical safety. METHODS: A three-level collaborative promotion system which was led by the health administrative department, undertaken by the hospital association, and cooperated by the quality control center was established. Refinement of the promotion measures was taken from six aspects, including the number of full-time staff, team management, ability improvement, echelon construction, development space and discipline construction and so on. Specifically, the construction and assessment of full-time personnel was strengthened, training courses on nosocomial infection management in primary-level medical institutions was carried out, a youth backbone echelon was established, the treatment of full-time staff was guaranteed and the department of infection management was incorporated into the management of medical technology departments in an exploratory way, the evaluation standard of municipal key clinical specialties was formulated and the evaluation was organized, and the department of nosocomial infection with strong comprehensive strength would be built and supported as a "municipal clinial key specialty project". RESULTS: The total number of full-time staff for infection control in the secondary and tertiary medical institutions in the city had increased to 102, and the ratio of person to bed had increased to 1:76 and 1:173, respectively, both higher than the provincial average level. The self-assessment of the cultural atmosphere of infection control in hospitals and the leaders' emphasis on infection control of 60.34% and 63.79% full-time staff increased significantly. The infection control management department of the two third-grade first-class hospitals ware selected as the first batch of municipal key clinical specialties and received construction funds. The full-time staff had achieved zero breakthroughs in the provincial projects and municipal talent projects. CONCLUSION: By establishing a three-level collaborative promotion system of "Health and Health Commission-Hospital Association-Quality Control Center", the ability of full-time staff and their sense of belonging could be improved significantly with a policy support from the aspects of discipline development, treatment and promotion channels, et al., providing ideas and models for ordinary prefecture-level cities to build professional infection control management team.
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OBJECTIVE: To collect aerosol from isolation wards of a designated COVID-19 hospital and conduct the nucleic acid test so as to provide scientific basis for prevention and control of COVID-19. METHODS: The air aerosol specimens were collected from layout sites in the isolation wards of the hospital by using bioaerosol collector, and the COVID-19 nucleic acid test was carried out for all of the specimens by using fluorescent polymerase chain reaction(PCR) and digital PCR. RESULTS: A total of 86 aerosol samples were collected, all of which were tested negative for the fluorescent PCR, the result of the digital PCR test showed that 14 air aerosol samples were tested positive for COVID-19 nucleic acid, with the detection rate 16.28%. The toilets of the patients and taking-off area of protective supplies of healthcare workers were the major places where the specimens were tested positive. The positive rate of nucleic acid test was significantly higher in in intensive care units than in common wards, however, there was no significant difference in the positive rate of nucleic acid among the aerosol specimens in different wards(?-2=7.871, P=0.248);there was no significant difference in the positive rate of nucleic acid of aerosol between the patients with CT value more than 30 and the patients with CT value no more than 30(?-2=0.232, P=0.630). CONCLUSION: There are still viral nucleic acids in the air aerosol of the isolation wards during the middle and late disease course of the COVID-19 patients, but the copy number of novel coronavirus is not large in the specimens. The detection rate of the viral nucleic acid is high in the aerosol of the wards that are crowed and poorly ventilated and are associated with the cases. It is necessary for the health care workers to take good care of themselves, keep the environment well ventilated and do a good job in environmental cleaning and disinfection and air purification.
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OBJECTIVE: To analyze the consistency between the objective and qualitative suitability test results of medical N95 protective masks and the subjective evaluation results of the wearers so as to provide scientific basis for selection of protective masks. METHODS: A survey was conducted among 221 staff in Nanjing COVID-19 designated hospitals from Aug 11, 2021 to Aug 29, 2021. A questionnaire designed by bitterness aerosol method (3 MTMFT-30) approved by Occupational Safety and Health Administration (OSHA) was used to collect and investigate the data on the spot, and the data were statistically analyzed by using SPSS23.0 software. RESULTS: The result of sensitivity test showed that 201 (90.95%) staff passed the test, including 169 (76.47%) staff with grade 1 sensitivity, 30 (13.57%) staff with grade 2 sensitivity and 2(0.90%) staff with grade 3 sensitivity. In terms of objective and qualitative suitability test, the passing rate was 92.04% (185/201), 188 staff passed the first test, 5 staff passed the second test. In terms of the subjective evaluation of the wearers, 111 staff had good subjective overall feeling, accounting for 55.22%;the scores of mouth opening assisted breathing, mask smell and facial muscle adjustment were (2.10+or-0.58) points, (2.13+or-0.42) points and (2.46+or-0.56) points, respectively, significantly lower than (2.55+or-0.50) points of the overall subjective evaluation score, and there was significant difference in the sealing ability of mask before the subjective evaluation and after adjusting by facial muscles (?~2=17.840, P<0.05). The results of objective qualitative suitability test were not consistent with the subjective evaluation of the wearers, and the kappa value was 0.174 (P< 0.001). CONCLUSION: In the objective and qualitative suitability test, the medical N95 protective mask has high safety performance. On the basis of good suitability, it can increase the wearing comfort of the mask, improve the overall subjective evaluation of the wearer, and make full use of the test results to reasonably select and effectively use the protective mask.
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Objective: To understand the late detection of new HIV/AIDS cases in Changshu City from 2015 to 2019, and to provide scientific basis for AIDS prevention and control.
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At the beginning of 2020, COVID-19 broke out in Wuhan and quickly swept the world. At present, the global epidemic prevention and control is still facing severe challenges. Scientific and effective measures of the epidemic is crucial to epidemic prevention and control. In this paper, a COVID-19 diffusion prediction model is established based on the impulsive partial differential equation and traditional infectious disease model, which can describe the spatial diffusion of viruses. This is also a lack of other models. The model divides the total population into seven groups: susceptible, quarantine, exposed, asymptomatic, infected, diagnosed and recovered, while considering the influence of time and space on the spread of the virus. In order to test the model, we take Jiangsu Province in China as an example, compare the calculated results with the actual data, and verify the effectiveness of the model through numerical calculation. © COPYRIGHT SPIE.
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OBJECTIVE: To investigate the health-seeking behaviors of imported malaria cases after returning to China, and to investigate the factors affecting the time to initial diagnosis, so as to provide the scientific evidence for early identification of imported malaria cases and prevention of severe cases development and secondary transmission. METHODS: The individual demographic features, and the disease onset and the time to initial diagnosis of imported malaria cases in Jiangsu Province in 2019 were captured from the National Notifiable Disease Report System and the Information Management System for Parasitic Disease Control in China. The characteristics of health-seeking behaviors and epidemiological features of imported malaria cases were descriptively analyzed, and the factors affecting the time to initial diagnosis of imported malaria cases after returning to China were identified using multivariate logistic regression analysis. RESULTS: A total of 244 imported malaria cases were reported in Jiangsu Province in 2019, and the time to initial diagnosis of the cases were 1-12 days, with mean time of (1.53 ± 1.65) days, with median time of one day. The highest number of malaria cases seeking healthcare services were found on the day of developing primary symptoms (76 cases, 31.1%), followed by on the second day (68 cases, 27.9%), on the third day (46 cases, 18.9%), and 54 cases (22.1%) received initial diagnosis 3 days following presence of primary symptoms, including 3 cases with initial diagnosis at more than one week. High proportions of imported malaria cases with a delay in the time to initial diagnosis were seen in migrant workers who returned to China in January (14 cases, 5.7%) and December (13 cases, 5.3%) and those aged between 41 and 50 years (32 cases, 13.1%). Multivariate logistic regression analysis showed relative short time to initial diagnosis among imported malaria cases returning to China on March [odds ratio (OR) = 0.16, P = 0.03, 95% confidence interval (CI): (0.03, 0.85)] and those with a history of overseas malaria parasite infections [OR = 0.36, P = 0.001, 95% CI: (0.19, 0.67)]. CONCLUSIONS: Timely health-seeking behaviors should be improved among imported malaria cases in Jiangsu Province, patients with a history of overseas malaria infections require faster health-seeking activities.
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Malaria , Transients and Migrants , Adult , China/epidemiology , Humans , Malaria/diagnosis , Malaria/epidemiology , Malaria/parasitology , Middle AgedABSTRACT
In the context of frequent occurrences of disasters worldwide, disaster-coping capability is imperative for risk reduction and contemporary emergency management. The global COVID-19 pandemic since 2020 has further highlighted the significance of resilience construction at different geographical scales. Overall, the conceptual cognition of resilience in disaster management covers multiple elements and has diverse yielding on regional assessment. This study assesses the local resilience to the public health disaster at the prefecture-level cities, focusing on two dimensions consisting of vulnerability and capability in the targeted provincial region of Jiangsu in China. To this end, based on the vulnerability-capability framework, the Rough Analytic Hierarchy Process (RAHP) method was applied to the resilience assessment. Drawing upon the criteria derived from literature, the criteria weights were determined with the RAHP method and we assessed urban resilience with census data. In addition, the hierarchical factors contributing to urban resilience were determined using robustness analysis. This research provides constructive ideas for regional disaster reduction and contributes to the government's capability to improve urban resilience. © 2022
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Objective: To understand the epidemiological and etiological characteristics of influenza-like illness (ILI) in Zhenjiang, Jiangsu province, during 2013-2020, and provide scientific basis for the prevention and control of influenza.
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With the increasingly effective control of the COVID-19 epidemic, the huge implicit demand for explosive tourism consumption growth in China is showing an urgent demand for tourism talents. In this paper, based on the concept of sustainable development and digital economy, the tourism economy is completely explained, the evaluation indicator system of tourism talents and tourism economy and the evaluation model of coupling coordination degree are established, and the coupling coordination between them is studied based on the data of Jiangsu from 2014 to 2018. The results show that (1) The comprehensive development level evaluation index of tourism talents and tourism economy in Jiangsu shows an upward trend, and the development speed of tourism economy is faster than that of tourism talents;(2) At present, the coupling coordination degree of tourism talents and tourism economy in Jiangsu is only at the lowest value of good coordination about 0.5, which has not broken through the antagonistic state and still needs to be improved. (3) The coupling and coordination level of tourism talents and tourism economy in Jiangsu Province shows the gradual improvement of "low coordination-moderate coordination-good coordination", which changes from the former lagging type of low-level and medium-level coordination tourism economy to the lagging type of good-level coordination tourism talents at present with 2017 as the turning point. © 2021 Kriedt Enterprises Ltd. All right reserved.
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A large proportion of the cultivated land in China has been used for non-grain production purposes. As food insecurity is worsening worldwide, this issue has attracted attention from the Chinese government. In order to curb this trend and to ensure food security, this paper explores the quantitative characteristics and spatial distribution of cultivated land used for non-grain purposes in Liyang City, Jiangsu Province, and discusses the clustering characteristics and mechanisms behind this based on spatial autocorrelation analysis and geographically weighted regression (GWR). The results show that most of the cultivated land in Liyang City has not been used for non-grain purposes, and the cultivated land reserve is abundant. Among all land types, irrigable land has the largest non-grain production rate of cultivated land. There is no significant spatial correlation of cultivated land for non-grain purposes in most towns in Liyang, among which Kunlun Street is in the High-High (HH) zone and Daibu Town in the Low-High (LH) zone. It is also found that the same factor has various impacts on the non-grain production of cultivated land in different towns, and the number of enterprises is the core factor that leads to the non-grain use of cultivated land in Liyang city. Low food prices lead some farmers to plant other crops with higher economic benefits, and also lead to the outflow of the rural labor force. This will not only accelerate the non-grain production of cultivated land, but also cause a large amount of cultivated land to be in a state of unmanned cultivation, further aggravating the proportion of non-grain production in cultivated land.
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BACKGROUND: A novel coronavirus emerged in China in December 2019, and human-to-human transmission was previously identified. This study aimed to compare the epidemiological characteristics in Jiangsu Province and assess whether so-called wartime control measures changed the trend of coronavirus disease 2019 (COVID-19) in the province. METHODS: Epidemiological data were obtained from the websites of China's Bureau of Health and the People's Government of Jiangsu Province and informal online sources from January 22 to February 20, 2020. RESULTS: The cumulative number of patients in Jiangsu Province (over 79 million people) was 613. The number of daily confirmed new cases reached the inflection point on January 31 with the maximum of 39 cases. The temporal number of patients peaked from January 29 to February 9. The proportion of confirmed cases who were residents or travelers to Hubei Province was 100.0%-58.8% before January 31 and then gradually declined. The proportion of close contacts increased gradually from January 27 to February 17. The geographical distribution of COVID-2019 cases showed that all 13 cites reported confirmed new cases after only five days of the first confirmed new case in Suzhou. The cases were concentrated in Nanjing, Suzhou, and Xuzhou with a high population density (over eight million people). The epidemiological features of COVID-2019 cases in Wuxi, Jiangsu showed that seven confirmed cases were tourists from others areas beyond Hubei Province. The longest incubation period of COVID-2019 was 19 days based on the onset of laboratory-confirmed cases. CONCLUSION: The number of daily confirmed new cases in Jiangsu Province peaked around January 31 and then declined. This result emphasized that wartime control measures, such as putting cities on lockdown to limit population mobility in Jiangsu Province, resulted in dramatic reductions in COVID-19 cases.