RESUMO
In order to analyze the impact of COVID-19 prevention and control measures on the hotspots of residential burglary, the data of crimes that occurred during the First Level Response period of Major Public Health Emergencies in Beijing in 2020 and the same period in 2019 were collected, and the changes of hotspots during the two periods were compared by using kernel density estimation and predictive accuracy index. Consequently, the environmental features such as street network, point of interest (POI) diversity, crime locations, and repeat victimization in significantly varied hotspot areas were investigated. The results show that: 1) After the outbreak of the pandemic, the occurrence of residential burglary in the core urban areas of Beijing dropped significantly, and daily occurrence of crimes during the First Level Response period in 2020 decreased by 66.8% compared with the same days in 2019. 2) The eight major hotspots that existed in 2019 apparently declined during the corresponding days in 2020, five of them basically disappeared, and three hotspots weakened. 3) The declined hotspots were generally clustered around traffic hubs, areas with high diversity of POIs, clustered crimes, and repeat victimizations. 4) Home isolation and social restriction strategies implemented during the First Level Response period reduced the opportunities of offenders, and the real-name inspection adopted in public places increased the exposure risk of offenders, which are the main reasons for the hotspots decline during the pandemic. This work has some implications for crime prevention and police resources optimization during the pandemic. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.
RESUMO
Playability is an attribute that refers to the ability to stimulate individual responses or collective action in an immersive activity in an exploratory way. Playability is an important component of the enjoyment and well-being of urban dwellers, has the potential to stimulate urban vitality and is an important expression of the inclusiveness and equity of urban space. The pursuit of economic development and efficiency-oriented urban construction has led to the domination of urban space by overcrowded traffic, economy-oriented commerce and densely populated housing. Moreover, the existence of playable space has become a scarce resource and is seen as a site for the materialisation of social rights. As the haze of the COVID-19 pandemic fades and cities are again exposed to wider and more participatory use, determining how to adapt urban spaces to the playability needs of users of different ages, cultural backgrounds and social classes, and provide them with appropriate site use and experience, is becoming a hot issue of concern for building equitable and high-quality urban spaces. The study of the playability of urban spaces is highly complex, and the related research on social justice is cryptic. In order to better investigate the social equity aspects of urban playability, this paper integrates scientometric and manual methods to review the relevant research. This paper takes 2664 related papers from the Web of Science (WOS) core dataset from 1998 to 2022 as the research object and employs CiteSpace to organise the existing research results of playful urban spaces. Quantitative analysis is used to clarify the theoretical foundations, developments and research hotspots of urban spatial playability, while the manual collation and generalisation of the studies uncover the hidden issues of social justice research. Based on the proposed research method, we summarize the key three research stages related to urban spatial playability and social equity. We also discuss the development of urban spatial playability in the perspective of social justice from three aspects: micro, meso and macro. The results can help readers better understand the current status and development process of research on playful urban space. In particular, we clarify the issues related to social justice under the theme of the playability of urban spaces and provide directions for future research on building playful cities and promoting the development of urban socio-spatial equity.
RESUMO
Urban scaling law quantifies the disproportional growth of urban indicators with urban population size, which is one of the simple rules behind the complex urban system. Infectious diseases are closely related to social interactions that intensify in large cities, resulting in a faster speed of transmission in large cities. However, how this scaling relationship varies in an evolving pandemic is rarely investigated and remains unclear. Here, taking the COVID- 19 epidemic in the United States as an example, we collected daily added cases and deaths from January 2020 to June 2022 in more than three thousand counties to explore the scaling law of COVID- 19 cases and city size and its evolution over time. Results show that COVID- 19 cases super- linearly scaled with population size, which means cases increased faster than population size from a small city to a large city, resulting in a higher morbidity rate of COVID- 19 in large cities. Temporally, the scaling exponent that reflects the scaling relationship stabilized at around 1.25 after a fast increase from less than one. The scaling exponent gradually decreased until it was close to one. In comparison, deaths caused by the epidemic did not show a super-linear scaling relationship with population size, which revealed that the fatality rate of COVID-19 in large cities was not higher than that in small or medium-sized cities. The scaling exponent of COVID- 19 deaths shared a similar trend with that of COVID- 19 cases but with a lag in time. We further estimated scaling exponents in each wave of the epidemic, respectively, which experienced the common evolution process of first rising, then stabilizing, and then decreasing. We also analyzed the evolution of scaling exponents over time from regional and provincial perspectives. The northeast, where New York State is located, had the highest scaling exponent, and the scaling exponent of COVID- 19 deaths was higher than that of COVID-19 cases, which indicates that large cities in this region were more prominently affected by the epidemic. This study reveals the size effect of infectious diseases based on the urban scaling law, and the evolution process of scaling exponents over time also promotes the understanding of the urban scaling law. The mechanism behind temporal variations of scaling exponents is worthy of further exploration. © 2023 Science Press. All rights reserved.
RESUMO
Samarinda City was appointed as a buffer for the new capital city of Indonesia through culinary and craft SMEs. Culinary and craft SMEs are believed to be the drivers in accelerating the achievement of Sustainable Development Goals (SDG), which are part of the strategy of the Provincial Government of East Kalimantan. Even so, 72% of the problems culinary and craft SMEs face in Samarinda City are related to competitive advantages. Culinary and craft SMEs in Samarinda City are still constrained by competitive disadvantage, especially in the non-substitutable resource aspect. This study aimed to analyze the effect of organizational capital and health on competitive advantage, especially in the era of post-COVID-19 economic recovery through the creative economy. This study used a survey method with a quantitative approach. The analysis techniques used were descriptive analysis and factor analysis using structural equation modeling with item parceling. The subjects of this study were SMEs in the culinary and craft sub-sector in Samarinda City (N = 365 SMEs). This study found that social capital and organizational health positively and significantly affect competitive advantage, both partially and simultaneously. Surprisingly, the dimension of work culture and climate s not suitable for modeling the impact of social capital and organizational health on the competitive advantage of culinary and craft SMEs in Samarinda City. This research is expected to contribute theoretically to developing a new model to achieve optimal competitive advantage through social capital and health organizations. This research is expected to strengthen the people's economy to achieve SDGs through SMEs, especially for Samarinda City, a buffer for the new capital city of the Republic of Indonesia and post-COVID-19 economic recovery through the creative economy.
RESUMO
The COVID-19 pandemic has impacted society: causing the collapse of health systems around the world, and also had a significant impact on the economy, personal care, mental health and the quality of life of the population. Few studies have been done about pandemic and the climacteric population, and the impact on quality of life and health. Our objective was to Investigate changes in the health and health care of climacteric women residing in Brazil during the pandemic period. Cross-sectional study with climacteric women aged between 40 and 70 years, residing in Brazil. The evaluation was carried out using a Google Docs electronic form with questions related to sociodemographic, clinical, gynecological data, treatments, access to health services and consultations, as well as changes in behavior. The Menopause Rating Scale - MRS was applied to assess climacteric symptoms, validated for Portuguese. Result(s): 419 women answered the questionnaire. More than 45% were between 51 and 60 years of age, 56.6% being married and residing in Brazilian capitals. 60% of participants reported weight gain during the pandemic. 50.8% of participants reported a decrease in the weekly practice of physical activity More than 80% reported worsening mental health during this period, and 66.1% had a change in their sleep pattern. More than half reported having difficulty accessing gynecological consultations. Women living in capital cities reported a greater increase in alcohol consumption (p=0.002). Food intake increased for 54.9%;the category of civil servant was associated with a significant increase in consumption in relation to other professions (p=0.038). Women whose family incomes changed during the pandemic had a higher prevalence of weight gain (p=0.033) and also had a higher occurrence of changes in sleep quality (72.6% vs. 61.5%;p=0.018). Women with a high school education had a higher occurrence of alterations in personal and health care outcomes (p<0.001). Conclusion(s): We observed an important reduction in the health care of climacteric women during the pandemic period. Changes in life habits, such as increased food consumption and reduced physical activity, were quite prevalent. There was a deterioration in mental health, with a high prevalence of anxiety symptoms and changes in sleep quality. Despite the attenuation of the pandemic, attention should be given to the health care of this population, as the changes may have repercussions for many years.Copyright © 2023
RESUMO
Smart cities are concepts much loved by politicians and technologists but are very difficult to bring about in practice. There are many isolated applications in cities such as operating streetlamps, but very few, if any, examples of integrated applications sharing data and managing the city as a holistic entity rather than a set of disparate and unconnected applications. This is despite hundreds of trials and indicates how difficult bringing about a smart city will be. The key challenge is the wide range of interested parties in a city including the elected city authority, subcontractors and suppliers to the authority, emergency services, transport providers, businesses, residents, workers, tourists, and other visitors. Some of these entities will be primarily driven by finance, such as businesses and transport providers. Some will be driven by political considerations. Some will be concerned with the quality of life as well as financial costs. In some cases, there will be conflicting interests-the city may want as much information as possible on people in the city, whereas individuals may want privacy and the minimum data stored concerning their movements and attributes. COVID-19 does not change any of these issues, but it does increase the importance of some applications such as smart health, logistics, people surveillance, data security, and crisis management, while reducing the importance of others such as traffic management. It may result in more willingness for monitoring and data sharing if this can be shown to result in better control of the virus. © 2023 the authors.
RESUMO
Goal. The goal of the paper is to show the implementation of library services in the homes for older adults in the city of Zagreb during the COVID-19 pandemic from March 2020 to June 2022. Approach/methodology/design. Library services in homes for the older adults in the city of Zagreb are implemented within the Books at your door programme of the 65 plus project at the Zagreb City Libraries. The COVID-19 pandemic and related restrictions have made it difficult to design and implement library services for older people in libraries. Due to the protection of health, particularly large restrictions have been placed on contacts with elderly people in homes for the older adults. As a result of this challenge, the librarians have devised ways to stay in touch and provide library services to the home users during periods of greater and lesser restrictions on access to the homes. Results. The paper describes in detail the implementation and the results of the Books at your door programme from March 2020 to June 2022. Library services and various cultural programs that were carried out during the pandemic in homes for the older adults, organized by the Zagreb City Libraries, are presented and described. The results are based on and supported by the statistical data from the annual reports of the 65 plus project. Originality/value. The cultural activities that are carried out for the older adults by the libraries, sometimes in difficult business circumstances, are examples of good practice aimed at sensitizing the public and increasing care for the well-being of the elderly people. The experiences gained during the implementation of the Books at your door programme in difficult conditions during the pandemic can help experts and practitioners in designing library services in times of crisis. The data recorded in this paper also represent a kind of public archive on the cooperation between libraries and homes for the older adults in the Zagreb area during the COVID-19 pandemic. © 2023, Hrvatsko Knjiznicarsko Drustvo. All rights reserved.
RESUMO
PM2.5 was continuously collected in Ho Chi Minh City (HCMC), Vietnam, during the period from September 2019 to August 2020, which included the period of socioeconomic suppression caused by restrictions imposed in the face of the coronavirus disease of 2019. The concentrations of PM2.5 mass, water-soluble ions (WSIs), organic carbon (OC), elemental carbon (EC), and water-soluble organic carbon (WSOC) were determined to evaluate the seasonal variations in PM2.5, the effect of socioeconomic suppression on PM2.5, and potential PM2.5 sources in HCMC. The PM2.5 mass concentration during the sampling period was 28.44 +/- 11.55 mu g m(-3) (average +/- standard deviation). OC, EC, and total WSIs accounted for 30.7 +/- 6.6%, 9.7 +/- 2.9%, and 24.9 +/- 6.6% of the PM2.5 mass, respectively. WSOC contributed 46.4 +/- 10.1% to OC mass. NO3-, SO42-, and NH4+ were the dominant species in WSIs (72.7 +/- 17.7% of the total WSIs' mass). The concentrations of PM2.5 mass and total WSIs during the rainy season were lower than those during the dry season, whereas the concentrations of carbonaceous species during the rainy season were higher. The concentrations of PM2.5 mass and chemical species during the socioeconomic suppression period significantly decreased by 45%-61% compared to the values before this period. The OC/EC ratio (3.28 +/- 0.61) and char-EC/soot-EC (4.88 +/- 2.72) suggested that biomass burning, coal combustion, vehicle emissions, cooking activities are major PM2.5 sources in HCMC. Furthermore, the results of a concentration-weighted trajectory analysis suggested that the geological sources of PM2.5 were in the local areas of HCMC and the northeast provinces of Vietnam (where coal-fired power plants are located).
RESUMO
This study utilizes the enclosed and stable environment of underground space for long-term sustainable planning for urban epidemics and disasters. Owing to the COVID-19 epidemic, cities require long-term epidemic-disaster management. Therefore, this study proposed a strategy for integrating multiple functions to plan a comprehensive Underground Resilience Core (URC). A planning and assessment methods of URC were proposed. With this methodology, epidemic- and disaster- URCs were integrated to construct a comprehensive-URC in underground spaces. The results show: (1) Epidemic-resilient URCs adopting a joint progressive approach with designated hospitals can rapidly suppress an epidemic outbreak. (2) The regularity of the morphology of underground spaces determines the area of the URC. Bar-shaped underground spaces have the potential for planning disaster-URCs. (3) The URC planning efficiency ranking is as follows: Bar shapes lead overall, T shapes are second under seismic resilience, and Cross shapes are second under epidemic resilience. (4) The potential analysis of planning a comprehensive-URC in the underground parking in Chinese cities showed that the recovery time can be advanced from 29% to 39% and the comprehensive resilience can be improved by 37.63%. The results of this study can serve as sustainable urban planning strategies and assessment tools for long-term epidemic-disaster management.
RESUMO
Introduction: Universities represent important Centers for public health assistance. However, in the context of the COVID- 19 pandemic, most Brazilian universities have suspended their academic activities and outpatient care. Objective(s): Describe how the Teleconsultation Program in Oral Medicine of the School of Dentistry, Brazil, remotely contributes to counseling dentistry on diagnosing oral lesions and providing guidance on treating patients in the North Macro-region of Minas Gerais state. Material(s) and Method(s): Teleconsulting takes place remotely;the professional sends by smartphone, via WhatsApp, the case report, clinical images, and complementary exams, if appropriate. Concerning this, the specialist team analyzes the clinical case and returns it to the professional sender, providing information and suggestions on the oral lesions' diagnostic assessment and clinical management. Result(s): Since the beginning of the program, in 19 months, dentists from 40 municipalities were counseled, which resulted in 287 teleconsultations;from these cases, 103 cases were conducted face-to-face consultations in our Oral Diagnosis Service, and 38 cases were hypothesized as malignant lesions in the oral cavity and had their medical treatment conducted and followed by a multidisciplinary team, when appropriate. Conclusion(s): Teleconsultation Program represents an important tool to strengthen the communication between professionals of public health, improve health work processes, and promote better clinical guidance in Oral Medicine.
RESUMO
In recent years, urban planners have mentioned the importance of implementing alternative city models that encourage short trips and neighborhood-scale activities such as the 15-minute city model. Several studies show that improvements in the transportation networks encourage the citizens to move themselves into their neighborhoods' borders. People seem to respond to these actions by increasing their visits to many local places such as restaurants, bars, sports centres etc. Even though during the post-covid era, people decreased significantly their movements, it is vital to encourage the creation of friendly for walking transportation networks inside the neighborhoods of the cities, based on the concept of the 15-minute city model. Large cities are becoming bigger and bigger as they offer many job opportunities. However, the massive peoples' relocation in big cities has as a result the creation of huge transportation problems. Neighborhoods have been downgraded as they were not ready to offer several services in larger populations. The 15-minute city model is designed to ensure that each citizen has quick access (15 minutes on foot) to essential services of various types. Moreover, the implementation of the 15-minute city model demands the strengthening of transportation networks promoting sustainable solutions that can support the daily walking of the habitants. This paper focuses on a literature review of the implementation of the 15-minute city model in different big cities worldwide, starting from Paris where the model is indeed a well-suited concept and focuses to the need of a cultural change rather than urban planning. The research points out not only the fact that this model can help the neighborhoods to grow up socioeconomically but the fact that the citizens can cooperate with the local authorities and participate in the redesign of their neighborhood based on the 15-minute city model. © 2023 The Authors. Published by ELSEVIER B.V.
RESUMO
Background: The quantification of SARS-CoV-2 in wastewater is a tool that allows determining the trend of viral circulation in a particular geographical area. Aim(s): To quantify the SARS-CoV-2 virus in 15 wastewater treatment plants in different Chilean cities to establish a comparison with the variables of: I) Active cases per 100,000 inhabitants;ii) daily positivity (novel cases);and iii) phases of the lockdown strategy. Method(s): SARS-CoV-2 was concentrated from wastewater samples. To obtain the number of virus genomes per liter, absolute quantification was performed using qRT-PCR. Result(s): Between January and June 2021, 253 samples were processed, all of which were positive for the presence of the virus. Likewise, it will be determined that the rate of active cases per 100,000 inhabitants is the variable that best fits the trends obtained with the quantification of the viral load in wastewater. Conclusion(s): The quantification of SARS- CoV-2 in wastewater as a continuous strategy is an efficient tool to determine the trend of the viral circulation in a delimited geographical area and, combined with genomic surveillance, it can constitute an ideal sentinel surveillance alert on future outbreaks.Copyright © 2022, Sociedad Chilena de Infectologia. All rights reserved.
RESUMO
The study aims to determine the influencing factors and their impact levels on residential land prices. The research investigated 241 officials, real estate investors, appraisers, and real estate brokers on factors affecting residential land prices. Research results have shown 13 groups with 45 factors affecting the price of residential land. The impact rates of the factor groups range from 1.43% to 23.65%. The COVID-19 pandemic factor group has the strongest impact on land prices, followed by other factor groups, including upgrading administrative units;formulation and implementation of the planning;the real estate market;financial – economics;credit;real estate brokerage;infrastructure;location of the land parcel;particular factors;juridical factors;environment and social security. To harmonize the interests of the State, investors, and land users when valuing land, it is necessary to pay attention to the factors that strongly impact land prices first, and then the smaller ones. [ FROM AUTHOR] Copyright of Real Estate Management & Valuation is the property of Sciendo 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.)
RESUMO
The COVID-19 Pandemic had made the Philippines to face various expanding crime rates which became a valuable issue in the country. These wrongdoings had operationally pushed the Philippine National Police to see and assess different crime activities that had been concurring consistently. This made the PNP to established community public security which then is called to be crime prevention strategies. This confronts the transition of different conflicting state including actions that inflicts harm to the populace. However, the known implemented strategies were not observed whether these promotes consistent advantage security or implementation were not addressed properly. Therefore, this study aims to determine the evaluation of the implementation of crime prevention strategies of the Philippine National Police in Ormoc City, Leyte in the Context of the COVID-19 Pandemic. A descriptive quantitative was used in purposive sampling was employed to obtain the 125 respondents of the study mainly PNP personnel and barangay captain. A self-constructed questionnaire with 4-point Likert scale has undergone a pilot study among 25 known respondents wherein the actual run was done through online survey. The result had shown that indicators including the crime prevention activities as to prevention strategies shows no significant differences. However, sustainability of the strategies establishes relationship with the demographic profile. Therefore, the study had concluded that the null hypothesis must be accepted which pertains that the strategies of the PNP towards crime prevention is not highly significant with the demographic profile. [ FROM AUTHOR] Copyright of International Journal of Multidisciplinary: Applied Business & Education Research is the property of Future Science 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.)
RESUMO
PurposeCitizens often perceive surveillance by government authorities as oppressive and, hence, demonstrate reluctance in value co-creation from such services. This study aims to investigate the challenges and benefits of citizen empowerment through technology-driven surveillance or "smart surveillance.”Design/methodology/approachGuided by Dynamic Capability theory, the authors conduct in-depth interviews with officers in-charge of surveillance in smart cities. Given the contemporary advancements, this approach allows a retrospective and real-time understanding of interviewees' experiences with smart surveillance.FindingsThe authors develop five propositions for citizen empowerment through smart surveillance to summarize the findings of this study.Research limitations/implicationsThis study advances the relevance of Dynamic Capability in public administration.Practical implicationsSmart city authorities and policymakers may leverage the insights provided in this study to design appropriate policies for smart surveillance.Originality/valueThe authors find that factors such as digital technology and infrastructure, information management, skill divide and perceived return on investment may influence citizen empowerment through smart surveillance.
RESUMO
Covid-19 has a significant risk of spreading in urban areas because of the aglomeration of built-up areas and people. It frequently contains a mix of land uses and is accessible to urban amenities. Due to the area's extensive usage of mixed land uses, it is better able to provide internal urban services on its own. Greater use of area lockdown and social separation strategies could result from this situation. The most populous city in the province of Central Java, Surakarta, has a significant risk of contracting COVID-19. The purpose of this study is to evaluate the impact of density and levels of mixed land use on the Covid-19 distribution in Surakarta City.Population density is used to calculate density. The entropy index approach was used to measure the amount of mixed land use. It is a method for calculating the balance between each form of land use. The availability of current land use data being processed by the spatial analysis with the Arc GIS application provided help for the analysis. Additionally, it makes use of information on Covid-19 cases in relation to the general populace that is supplied by the Surakarta Municipality. The relationship between mixed land use and Covid-19 risk was analyzed using a linear regression approach. The study's findings indicated a minor influence between density and the spread of COVID-19. Meanwhile, the level of mixed land use does not influence the spread of the Covid-19 virus in Surakarta City.
RESUMO
Internet of things is progressing very rapidly and involving multiple domains of everyday life including environment, governance, healthcare system, transportation system, energy management system, etc. smart city is a platform for collecting and storing the information that is accessed through various sensor-based IoT devices and make their information available in required and authorized domains. This interoperability can be achieved by semantic web technology. In this paper, I have reviewed multiple papers related to IoT in Smart Cities and presented a comparison among the semantic parameters. Moreover, I've presented my future domain of research which is about delivering the COVID-19 patients report to the concerned domains by the healthcare system domain. © 2023 IEEE.
RESUMO
Street vending is considered a lucrative livelihood especially among migrants coming to Indian cities. The pandemic-induced lockdowns in India brought out the precarity of these street-based livelihoods. This paper focuses on street food vendors of Bengaluru. Through narratives from in-depth interviews conducted across the city, it tries to capture the struggles of street vendors as they navigate the pandemic. With the streets being completely shut down with the lockdowns, these vendors lost their means of livelihood. Many of them who were living in the city for over a generation were forced to move back to their native villages. Those who managed to stay back had sunk into debt. Even when the lockdown was eased and streets became accessible, the vendors' struggles continued-to get back their customer base and to reclaim their physical space on the street which, during the prolonged lockdown, was appropriated for other purposes. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
RESUMO
In this paper, a research was conducted to analyse and predict the impacts of COVID-19 on public transportation ridership in the U.S. and 5 most populous cities of the U.S. (New York City, Los Angeles, Chicago, Houston, Philadelphia). The paper aims to exploit the correlation between COVID-19 and public transportation ridership in the U.S. and make the reasonable prediction by machine learning models, including ARIMA and Prophet, to help the local governments improve the rationality of their policy implementation. After correlation analyses, high level of significant and negative correlations between monthly growth rate of COVID-19 infections and monthly growth rate of public transportation ridership are decidedly validated in the total U.S., and New York City, Los Angeles, Chicago, Philadelphia, except Houston. To analyse the errors of Houston, we consult the literature and made a discussion of Influencing factors. We find that the level of public transportation in quantity and utilization is terribly low in Houston. In addition, the factors, such as the lack of planning law and estimation of urban expressways, the high level of citizens' dependence on private cars and pride of owning cars play a considerable roll in the errors. And the impacts can be predicted to a certain extent through two forecasting models (ARIMA and Prophet), although the precision of our models is not enough to make a precise forecast due to the limitations of model tuning and model design. According to the comparison of the two models, ARIMA models' forecasting accuracy is between 6% and 10%, and Prophet's forecasting accuracy is between 8%-12%, depending on the city. Since the insufficient stationarity, periodicity, seasonality of time series, the Prophet models are hard be more refined. © 2023 SPIE.
RESUMO
Objective To analyze the changes of disease spectrum in pediatric inpatients before and after the outbreak of coronavirus disease 2019 (COVID-19). Methods The data of gender, age, habitual residence, diagnosis and other relevant information of 1 931 hospitalized children in Department of Pediatrics, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Feb. 2019 to Jan. 2020 (1 year before the COVID-19 epidemic) and 618 hospitalized children from Feb. 2020 to Jan. 2021 (1 year after the COVID-19 epidemic) were collected. The total number, habitual residence, gender and disease spectrum of hospitalized children 1 year before and 1 year after the COVID-19 epidemic were statistically analyzed. Results The number of hospitalized children decreased by 68.00% (1 313/1 931) 1 year after the COVID-19 epidemic. The number of hospitalized children from other provinces and cities was decreased (17.80%110/618vs 29.00%560/1 931) and there was significantly difference in the distribution of habitual residence of hospitalized children between 1 year before and 1 year after the COVID-19 epidemic (P<0.01). One year after the COVID-19 epidemic, the number of children with respiratory diseases decreased by 92.04% (971/1 055), and the proportion was also decreased (13.59%84/618vs 54.63%1 055/1 931);the number of children with endocrine system diseases increased by 20.71% (29/140), and the proportion was increased (27.35%169/618vs 7.25%140/1 931);the number of children with neonatal diseases decreased by 43.01% (166/386), but the proportion was increased (35.60%220/618 vs 19.99%386/1 931). Compared with 1 year before the COVID-19 epidemic, there were significant differences in the proportions of respiratory diseases, endocrine system diseases and neonatal diseases in hospitalized children 1 year after the COVID-19 epidemic (all P<0.01). The age distribution of hospitalized children 1 year before and 1 year after the epidemic of COVID-19 was different (P<0.01), and the number of hospitalized children was also different in different seasons (P<0.05). One year after the epidemic of COVID-19, the number of hospitalized children with respiratory diseases was decreased most significantly, and the number of children with pneumonia decreased by 93.71% (655/699), with a significant difference found in the proportions of pneumonia between 1 year before and 1 year after the COVID-19 epidemic (52.38%44/84vs 66.26% 699/1 055, P<0.05). Compared with 1 year before the COVID-19 epidemic, the proportion of endocrine system diseases such as short stature/growth retardation was decreased and the proportion of precocious puberty/early puberty development was increased 1 year after the COVID-19 epidemic (P<0.05). Conclusion The COVID-19 epidemic has led to a significant decrease in hospitalized children in department of pediatric, especially in the proportion of respiratory diseases, but it has led to an increase in hospitalized children with endocrine system diseases, suggesting that epidemic prevention and control measures can effectively reduce respiratory diseases requiring hospitalization, but may increase precocious puberty and early puberty development. These changes should be considered by department of pediatrics in general hospitals.Copyright © 2022, Second Military Medical University Press. All rights reserved.