Spatiotemporal evolution of urban theft crimes and mechanism in the context of regular COVID-19 pandemic prevention and control: A case study of Haining, Zhejiang

Existing studies show that the outbreak of the COVID-19 pandemic has a significant impact on crime occurrences. However, it remains to be empirically examined whether the regular pandemic prevention and control measures in China can significantly affect the spatial patterns of crimes. To fill this gap, this study chosed the central urban area of Haining City in Zhejiang Province, which had taken the regular pandemic prevention and control measures, as the research area. Using standard deviation ellipse and kernel density estimation methods, this study examined the spatiotemporal patterns of theft crimes between February 2018 and July 2021 in the study area. The results show that: 1) While there were no significant changes in the hourly patterns of theft crimes within a day, the monthly number of thefts in the study area decreased by an average of 53% after the outbreak of the COVID-19 pandemic and fluctuated between 100 to 200 thefts per month. The regular COVID-19 pandemic prevention and control measures had a long-term and stable inhibitory effect on the number of theft crimes in Haining City. 2) The intensity and amount of hotspots for theft crimes in the study area decreased significantly during February 2020 and July 2021 when compared with the pre-pandemic period, and the spatial distribution patterns of theft crimes were relatively stable. 3) For the 12 crime hotspots identified for the pre-pandemic period, the monthly number of crimes decreased between 52% and 78% on average after the outbreak while trajectories of their quarterly temporal changes differed significantly. The average crime drop for the 12 hotspot areas were 63%, which was higher than that for the whole study area. 4) Seven crime-control measures were identified among the regular pandemic prevention and control measures based on the routine activity theory and the crime triangle theory. Functional type of place, geographic location, and pre-pandemic local governance ability all played an important role in affecting the actual crime-control effects of the seven regular COVID-19 pandemic prevention and control measures. The results of this study are important for understanding the spatial evolution of crimes under the influence of major public health emergencies and for formulating scientific strategies for crime prevention and control. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.

The impact of COVID-19 prevention and control measures on residential burglary hotspots: A case study of the core urban areas of Beijing

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.

Pediatric initiative on improving uptake of seasonal influenza vaccination among children during the COVID-19 pandemic.

In the time of regular COVID-19 prevention and control, it has been a medical priority to standardize the management of other diseases (like seasonal influenza) and relevant vaccination, especially to prevent the epidemic of both seasonal influenza and COVID-19 in winter and spring. In the influenza season of winter and spring, children are among those most vulnerable to influenza, making primary schools, secondary schools and nursing centers an influenza epicenter. To reduce the chance of infection among children, Global Pediatric Pulmonology Alliance (GPPA )has organized an expert team to make a proposal. This proposal introduces the epidemiologic features of child influenza, the status quo of the COVID-19 pandemic, and the necessity of child influenza shots during the COVID-19 pandemic. Besides, vaccination strategies based on national and international guidelines/consensuses are elaborated for the reference of relevant people from all walks of life.Copyright © 2020 by the Chinese Medical Association.

US National Institutes of Health Prioritization of SARS-CoV-2 Variants.

Since late 2020, SARS-CoV-2 variants have regularly emerged with competitive and phenotypic differences from previously circulating strains, sometimes with the potential to escape from immunity produced by prior exposure and infection. The Early Detection group is one of the constituent groups of the US National Institutes of Health National Institute of Allergy and Infectious Diseases SARS-CoV-2 Assessment of Viral Evolution program. The group uses bioinformatic methods to monitor the emergence, spread, and potential phenotypic properties of emerging and circulating strains to identify the most relevant variants for experimental groups within the program to phenotypically characterize. Since April 2021, the group has prioritized variants monthly. Prioritization successes include rapidly identifying most major variants of SARS-CoV-2 and providing experimental groups within the National Institutes of Health program easy access to regularly updated information on the recent evolution and epidemiology of SARS-CoV-2 that can be used to guide phenotypic investigations.

Can prolonged exposure to information on COVID-19 affect mental health negatively?

The COVID-19 pandemic delivered a heavy blow to social and economic development globally and presents an unprecedented challenge to public health and livelihoods. Using data from a survey on the living needs of people in China amid the COVID-19 outbreak, this study analysed the relationship between the duration of exposure to information on COVID-19 and mental health;the mediating effects of risk perception and confidence in pandemic prevention and control were also measured. We found that prolonged exposure to information on COVID-19 made people feel more anxious and stressed. Meanwhile, risk perception and confidence in pandemic prevention and control functioned as mediators between the duration of exposure to information on COVID-19 and anxiety and stress. Therefore, reduced duration of exposure to pandemic information can lower risk perception and enhance confidence in pandemic prevention and control. It can also relieve anxiety and stress caused by information about the spread of the pandemic.

EXPLORING BEHAVIOUR CHANGE SITUATIONS FOR PANDEMIC PREVENTION AND CONTROL IN PUBLIC SPACES IN HEFEI, CHINA

Protective behaviours – such as wearing face masks, ensuring good hygiene, maintaining social distancing, and limiting physical contact – have been acknowledged as effective non-pharmaceutical solutions for pandemic prevention. However, many people often fail to adhere to these behaviour modifications. To better understand the issue, this study explores individuals' behaviour change situations during the COVID-19 pandemic and proposes appropriate design strategies. To collect valuable data for analysis, the researcher utilized three qualitative methods including observation, nominal group technique (NGT), and a user interview. Five facets of the current behaviour change situation were examined in Hefei, China. These include surveillance, publicity and information dissemination, public facilities and auxiliary tools design, people's attitudes towards behaviour change, and their actual behaviour performance. Moreover, the researchers also examined key challenges and design limitations of behaviour change situations, which were ranked based on voting results from three NGT groups. These theoretical findings may provide valuable insights to guide practical designs and policymaking within the domain of pandemic prevention and control © 2022, Malaysian Journal of Public Health Medicine.All Rights Reserved.

Job burnout and its influencing factors in Chinese medical staffs under China's prevention and control strategy for the COVID-19 pandemic.

OBJECTIVE: This study aimed to investigate the influencing factors of burnout among grassroots medical staff in China so as to provide a reference for improving their physical, psychological, and social statuses under China's prevention and control strategy for the COVID-19 pandemic and ensuring the sustainable supply of high-quality medical resources. METHODS: This study was performed on medical staff in five primary hospitals in Jiangsu Province, China, from May 1, 2022, to June 1, 2022, using a general information questionnaire and Maslach Burnout Inventory Scale. SPSS 25.0 and Stata 15.0 were used for two-track data entry and analysis. The OLS regression model was established to analyze the influencing factors for the job burnout of health care personnel. RESULTS: Two hundred seventy valid questionnaires were analyzed. The total score of job burnout was (30.16 ± 10.99). The scores of emotional exhaustion, depersonalization, and self-achievement were (9.88 ± 3.839), (11.99 ± 5.68), and (8.29 ± 5.18), respectively. Feeling depressed and stressed after the pandemic, days working over the past week, and work hours per shift had a positive impact on the Maslach Burnout total score. Increased income and hours working every week had a negative impact on the Maslach Burnout total score. However, sex, age in years, degree, professional title, job category, workplace, marital status, years in practice, health status, active management of health, idea of resignation, and promotion after the pandemic did not affect the Maslach Burnout total score. CONCLUSION: The job burnout of medical staff is affected by health conditions, working conditions, the psychological consequences of a pandemic, wages and marital status. Hospital managers should formulate incentive measures according to different psychological changes in medical staff to create a good medical working environment under the normalization of COVID-19 pandemic prevention and control.

Community pandemic prevention and control measures and their influence on citizen satisfaction during the COVID-19 pandemic in China.

At the forefront of the fight against the pandemic, the community' s measures and services would have a greater impact than ever before on citizen satisfaction. However, the influence of citizen satisfaction on community pandemic prevention and control measures (CPPCM) during the pandemic is poorly understood. This study aims to investigate the allocation of CPPCM and its impact on CS. The Chinese national data was analyzed for the outcome. (1) Pandemic prevention propaganda (PPP), disinfection (DT), and body temperature tests (BTTs) were the primary measures taken by the Chinese community. (2) The CS for pandemic prevention and control is high, and urban and central Chinese communities express greater satisfaction. (3) The impact of disinfection, body temperature tests, free supplies, and assistance purchasing supplies on CS was greater in rural areas than in urban areas. (4) Regional variations exist in the impact of CS on CPPCM. (5) The number of measures has an inverted U-shaped relationship with citizen satisfaction. This study also suggests that the government should disseminate information about pandemic prevention in a timely manner, provide basic health and medical services, and evaluate the measures taken to avoid the discount effect.

Lessons Learned During the COVID-19 Pandemic in Central India: Overlooked Psychological and Social Determinants of Health.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic, which started in 2019, has created unprecedented public health problems, mental health crises, and economic and social problems. These effects have been studied by numerous researchers on the general population but none on hospitalized and discharged COVID-19 patients. AIM: To assess psychological and social problems among hospitalized and discharged COVID-19 patients. METHODS: During lockdown and post-lockdown in India, we interviewed 500 COVID-19 patients admitted at our tertiary care center during their hospitalization and post-discharge period for psychological and social problems. RESULTS: The common psychological issues in hospitalized patients during lockdown were anxiety and misconceptions about COVID-19, while insomnia, anxiety, and frustration were common during the post-lockdown period. The typical social problems in hospitalized patients during the lockdown were containment-related issues, discrimination, longer wait for repeat COVID-19 tests, and boredom; whereas issues related to employment and financial matters were common during post-lockdown. Psychological problems comparatively decreased whereas social problems increased after discharge. CONCLUSION: Unrehearsed mitigation strategies at the beginning of the pandemic unknowingly led to various psychological and social problems. It was further aggravated by a lack of information and miscommunication.

Trade-Off between COVID-19 Pandemic Prevention and Control and Economic Stimulus.

The coronavirus disease 2019 (COVID-19) pandemic has posed a severe threat to public health and economic activity. Governments all around the world have taken positive measures to, on the one hand, contain the epidemic spread and, on the other hand, stimulate the economy. Without question, tightened anti-epidemic policy measures restrain people's mobility and deteriorate the levels of social and economic activity. Meanwhile, loose policy measures bring little harm to the economy temporarily but could accelerate the transmission of the virus and ultimately wreck social and economic development. Therefore, these two kinds of governmental decision-making behaviors usually conflict with each other. With the purpose of realizing optimal socio-economic benefit over the full duration of the epidemic and to provide a helpful suggestion for the government, a trade-off is explored in this paper between the prevention and control of the epidemic, and economic stimulus. First, the susceptible-infectious-recovered (SIR) model is introduced to simulate the epidemic dynamics. Second, a state equation is constructed to describe the system state variable-the level of socio-economic activity dominated by two control variables. Specifically, these two variables are the strengths of the measures taken for pandemic prevention and control, and economic stimulus. Then, the objective function used to maximize the total socio-economic benefit over the epidemic's duration is defined, and an optimal control problem is developed. The statistical data of the COVID-19 epidemic in Wuhan are used to validate the SIR model, and a COVID-19 epidemic scenario is used to evaluate the proposed method. The solution is discussed in both static and dynamic strategies, according to the knowledge of the epidemic's duration. In the static strategy, two scenarios with different strengths (in terms of anti-epidemic and economic stimulus measures) are analyzed and compared. In the dynamic strategy, two global optimization algorithms, including the dynamic programming (DP) and Pontryagin's minimum principle (PMP), respectively, are used to acquire the solutions. Moreover, a sensitivity analysis of model parameters is conducted. The results demonstrate that the static strategy, which is independent of the epidemic's duration and can be easily solved, is capable of finding the optimal strengths of both policy measures. Meanwhile, the dynamic strategy, which generates global optimal trajectories of the control variables, can provide the path that leads to attaining the optimal total socio-economic benefit. The results reveal that the optimal total socio-economic benefit of the dynamic strategy is slightly higher than that of the static strategy.

The impact of accountability on local officials' behavior in the pandemic prevention and control in China based on utility maximization.

BACKGROUND: The COVID-19 pandemic is a public health crisis and an inspection of national governance systems and crisis response capabilities of countries globally. China has adopted a tough accountability system for officials and has succeeded in containing the spread of the pandemic. This study aimed to assess the impact of accountability on local officials' behavior in the pandemic prevention and control based on the official promotion tournament theory and utility maximization analysis framework. METHODS: The panel data of 237 Chinese cities were extracted with local officials' characteristics, confirmed cases, Baidu migration index, Baidu search index according to city names, and data were excluded with local officials' relocation or sub-provincial cities between January 1, 2020 and May 5, 2020. Promotion gain and accountability cost were constructed by adopting promotion speed indicator, and the research hypotheses were assumed based on the utility maximization. It was the first time to apply the interaction model to empirically investigate the relationship between the promotion speed of local officials and the COVID-19 confirmed cases. RESULTS: Our study showed that the promotion speed of provincial governors and mayors significantly affected the number of confirmed cases (ß = - 11.615, P < 0.01). There was a significant interaction between the promotion speeds of provincial governors and mayors (ß = - 2594.1, P < 0.01), indicating that they had a coordinated effect on the pandemic control. Additionally, mayors with different promotion speeds made a significant difference in controlling the imported cases and those who promoted faster better controlled the imported cases (ß = - 0.841, P < 0.01). Mayors with full-time postgraduate education, titles, and majors in science and engineering had a better effect on controlling the number of confirmed cases. CONCLUSIONS: Our study provides evidence that the official accountability system has played an important role in containing the pandemic, which suggests that local officials motivated by the accountability system would respond to the pandemic actively for higher utility. Furthermore, provincial governors and mayors have played a coordinated effect in pandemic control. The above evidences reveal that implementing the official accountability system could improve the government's emergency management capability and the efficiency of pandemic control. Therefore, adopting a strict accountability system could be effective in pandemic containment globally, especially in centralized countries.

Research on the Satisfaction Degree Characteristics of Residential Public Resources under Lockdowns for Pandemic Prevention and Control: A Case Study in the Changchun

In order to improve the ability of residential disaster prevention, control, and governance, it is important to objectively measure how nearby residents’ needs match the public resources of the residential area, and to understand the factors affecting the satisfaction of residents’ needs at the time of lockdowns. Taking Changchun City as an example, this paper used Structural Equation Modeling (SEM)-logit and Importance–Satisfaction (I–S) evaluation methods to discuss the impact mechanism and improvement strategies of residential public resource elements on the satisfaction of residents’ needs during the lockdown period. The results showed the influencing factors and the degree of importance of the satisfaction of residents’ needs under different types of settlements have obvious differentiation characteristics. The level of resource management can better affect the overall evaluation of residents in newly built settlements, and the quality of the conditions of the space environment is more important for the old residential communities. The satisfaction of residents in settlements has a more significant impact. Finally, the study explained the renovation proposals and their priority levels that meet the needs of residents to provide beneficial support for the resilience of urban settlements.

Out of the shadows: Impact of SARS experience on Chinese netizens' willingness to donate for COVID-19 pandemic prevention and control.

While charitable donations help to raise funds and contribute to pandemic prevention and control, there are many unanswered questions about how people make such donation decisions, especially in countries like China where charitable donations have played an increasing role in recent years. This study contributes to the literature by assessing the potential impacts of Chinese netizens' experience with the 2002 severe acute respiratory syndrome (SARS) epidemic on their willingness to donate for COVID-19 pandemic prevention and control. Specifically, this study applies a difference-in-differences (DID) model to a dataset collected from a nationwide survey to examine how individuals' exposure to the SARS epidemic affects their willingness to donate to alleviate the COVID-19 pandemic. The results suggest that individuals' SARS epidemic experiences in their early lives, especially during the "childhood-adolescence" period, had a lasting and far-reaching impact on their willingness to donate toward COVID-19 pandemic prevention and control. Also, the impacts were likely heterogeneous by such sociodemographic factors as educational background, health status, and income level. The empirical findings highlight the importance of considering early-life experiences in developing and implementing epidemic prevention and control policies. While the SARS experience likely affected Chinese netizens' willingness to donate toward COVID-19 pandemic prevention and control, lessons learned from both the SARS epidemic and COVID-19 pandemic could be used to develop more effective public health education and prevention programs as well as to increase public donations for future pandemic prevention and control.

Developing a Behavior Change Framework for Pandemic Prevention and Control in Public Spaces in China

Preventive behavior, such as hand hygiene, facemask wearing, and social distancing, plays a vital role in containing the spread of viruses during pandemics. However, people in many parts of the world usually encounter difficulties adhering to this behavior due to various causes. Thus, this article aims to develop a research framework and propose design strategies to prompt individuals’ behavior change during pandemics. Initially, we integrated a literature review and a structured interview (n = 22) to ascertain the core factors impacting behavior change during pandemics. These factors were categorized into four aspects: perceptional factors (attitudes, subjective norms and perceived behavior control, risk perceptions);social factors (knowledge and information dissemination, governmental regulations);physical factors (tools and facilities and surveillance);and sociocultural factor (cultural contexts). Then, a theoretical framework with antecedents was developed to reveal behavior intention and formation process. After that, an empirical study was carried out to test the research framework through a questionnaire survey (n = 549). The research findings indicated that all derived factors could directly or indirectly affect individuals’ preventive behavior during pandemics. This article strives to provide valuable insights for different stakeholders when coping with pandemic situations.

Optimization of energy efficiency and COVID-19 pandemic control in different indoor environments.

The COVID-19 pandemic has led to considerable morbidity and mortality, and consumed enormous resources (e.g. energy) to control and prevent the disease. It is crucial to balance infection risk and energy consumption when reducing the spread of infection. In this study, a quantitative human, behavior-based, infection risk-energy consumption model for different indoor environments was developed. An optimal balance point for each indoor environment can be obtained using the anti-problem method. For this study we selected Wangjing Block, one of the most densely populated places in Beijing, as an example. Under the current ventilation standard (30 m3/h/person), prevention and control of the COVID-19 pandemic would be insufficient because the basic reproduction number (R0 ) for students, workers and elders are greater than 1. The optimal required fresh air ventilation rates in most indoor environments are near or below 60 m3/h/person, after considering the combined effects of multiple mitigation measures. In residences, sports buildings and restaurants, the demand for fresh air ventilation rate is relatively high. After our global optimization of infection risk control (R0  ≤ 1), energy consumption can be reduced by 13.7% and 45.1% on weekdays and weekends, respectively, in contrast to a strategy of strict control (R0  = 1 for each indoor environment).

Establishment and evaluation of a 30-minute detection method for SARS-CoV-2 nucleic acid using a novel ultra-fast real-time PCR instrument.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic is still raging worldwide. Efficient, fast and low-cost severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid detection methods are urgently needed. METHODS: A rapid PCR temperature change mode was explored by moving the reaction tube between the independent temperature modules with large temperature differences and a portable ultra-fast real-time PCR instrument were developed. We established a rapid SARS-CoV-2 test method using the ultra-fast real-time PCR instrument, a China Food and Drug Administration-certified SARS-CoV-2 reagent and optimized reaction condition. The analytical and clinical performances of the rapid tests were evaluated by comparing with the standard SARS-CoV-2 tests. RESULTS: The new temperature change mode can effectively shorten the amplification reaction time and be successfully used in the development of the ultra-fast real-time PCR instrument. The rapid SARS-CoV-2 test method was established and the time to yield results were greatly shortened from 81 min of the standard test to 31 min. Specificity of the rapid test was assessed and no non-specific amplification (0/63) was observed. The limits of detection of the rapid and standard tests were similar. Clinical performance was evaluated using 184 respiratory specimens from patients with suspected SARS-CoV-2 infection. The positive agreement between the rapid and standard tests was 100% (67/67), the negative agreement was 97.4% (114/117), and the kappa statistic was 0.965 (P<0.001). No significant differences in the Ct values for each target gene were observed between the rapid test and the standard test (P>0.05). CONCLUSIONS: We had developed a 30-minute detection method for SARS-CoV-2 nucleic acid using a novel ultra-fast real-time PCR instrument. The rapid test method may impact on patient management.

Smart city projects against COVID-19: Quantitative evidence from China.

The outbreak of COVID-19 pandemic worldwide has brought huge challenges to urban governance. Whether the smart city projects play a significant role in the COVID-19 prevention and control process is a question worthy of attention. Based on the data of COVID-19 confirmed cases and the smart cities projects investment in China cities, our empirical results show that smart city projects have significantly reduced the number of COVID-19 confirmed cases. Specifically, for every 1 million yuan increase in smart city investment per 10,000 people, the number of COVID-19 confirmed cases per 10,000 people would decrease by 0.342. The heterogeneity analysis results show that the effect of the smart city projects on COVID-19 in the spread phase inside a city is stronger than that in the input phase. In addition, the effect differs for cities with different population sizes. This study provides quantitative evidence of the impact of smart city projects on COVID-19 prevention and control.

Developing Pandemic Prevention and Control by ANP-QFD Approach: A Case Study on Urban Furniture Design in China Communities.

BACKGROUND: An infectious disease can affect human beings at an alarming speed in modern society, where Coronavirus Disease 2019 (COVID-19) has led to a worldwide pandemic, posing grave threats to public security and the social economies. However, as one of the closest attachments of urban dwellers, urban furniture hardly contributes to pandemic prevention and control. METHODS: Given this critical challenge, this article aims to propose a feasible solution to coping with pandemic situations through urban furniture design, using an integrated method of Quality Function Deployment (QFD) and Analytic Network Process (ANP). Eight communities in China are selected as the research sites, since people working and living in these places have successful experience preventing and containing pandemics. RESULTS: Three user requirements (URs), namely, usability and easy access, sanitation, and health and emotional pleasure, are determined. Meanwhile, seven design requirements (DRs) are identified, including contact reduction, effective disinfection, good appearance, social and cultural symbols, ergonomics, smart system and technology and sustainability. The overall priorities of URs and DRs and their inner dependencies are subsequently determined through the ANP-QFD method, comprising the House of Quality (HQQ). According to the theoretical results, we propose five design strategies for pandemic prevention and control. CONCLUSION: It is demonstrated that the incorporated method of ANP-QFD has applicability and effectiveness in the conceptual product design process. This article can also provide a new perspective for pandemic prevention and control in densely populated communities in terms of product design and development.

Top-Down and Bottom-Up Lockdown: Evidence from COVID-19 Prevention and Control in China.

Utilizing national migration data regarding the outbreak of the novel coronavirus (2019-nCoV), this paper employs a difference-in-differences approach to empirically analyze the relationship between human mobility and the transmission of infectious diseases in China. We show that national human mobility restrictions ascribed to the first-level public health emergency response policy effectively reduce both intercity and intracity migration intensities, thus leading to a declining scale of human mobility, which improves the effectiveness in controlling the epidemic. Human mobility restrictions have greater influences on cities with better economic development, denser populations, or larger passenger volumes. Moreover, mobility restriction measures are found to be better implemented in regions with increased public awareness, or with provincial leaders who have healthcare crisis management experience, local administrative experience, or the opportunity to serve a consecutive term.

Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location.

The purpose of this study is to investigate whether the relationship between meteorological factors (i.e., daily maximum temperature, minimum temperature, average temperature, temperature range, relative humidity, average wind speed and total precipitation) and COVID-19 transmission is affected by season and geographical location during the period of community-based pandemic prevention and control. COVID-19 infected case records and meteorological data in four cities (Wuhan, Beijing, Urumqi and Dalian) in China were collected. Then, the best-fitting model of COVID-19 infected cases was selected from four statistic models (Gaussian, logistic, lognormal distribution and allometric models), and the relationship between meteorological factors and COVID-19 infected cases was analyzed using multiple stepwise regression and Pearson correlation. The results showed that the lognormal distribution model was well adapted to describing the change of COVID-19 infected cases compared with other models (R2 > 0.78; p-values < 0.001). Under the condition of implementing community-based pandemic prevention and control, relationship between COVID-19 infected cases and meteorological factors differed among the four cities. Temperature and relative humidity were mainly the driving factors on COVID-19 transmission, but their relations obviously varied with season and geographical location. In summer, the increase in relative humidity and the decrease in maximum temperature facilitate COVID-19 transmission in arid inland cities, while at this point the decrease in relative humidity is good for the spread of COVID-19 in coastal cities. For the humid cities, the reduction of relative humidity and the lowest temperature in the winter promote COVID-19 transmission.