Establishment and application of the "electronic follow-up platform for endometriosis" during the COVID-19 pandemic.

The management of endometriosis has been complicated by the COVID-19 pandemic. We aimed to introduce the establishment and application of a new follow-up method during the COVID-19 pandemic-the electronic follow-up (e-follow-up) platform for endometriosis-and to test the applicability of the platform-based follow-up management model and patient satisfaction. We used the platform for information entry and post-operative follow-up of 152 patients with endometriosis from January 2021 to August 2022, and compared patients' Zung's Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), and Visual Analogue Score (VAS) (range: 0 - 10, indicating: no pain-extreme pain) scores preoperatively and after 6-month of follow-up, together with recording patients' follow-up satisfaction and number of recurrence of lesions. Eventually, the SDS, SAS, and VAS scores were significantly lower than those at pre-surgery (p < .001), and the follow-up satisfaction rate reached 100%, with 91.41% expressing great satisfaction. The cumulative number of recurrences was 2 out of 138. Follow-up using this platform reduce the risk of COVID-19 transmission, enabled more efficient access to healthcare resources for patients with endometriosis, improved the efficiency of follow-up management, met the mental health needs of the patients.

Viral shedding time and its influencing factors in different site samples of patients infected with Severe acute respiratory syndrome coronavirus 2 omicron BA.2 variant

Objective: To analyze the viral shedding time and its influencing factors in different site samples of patients infected with severe acute respiratory syndrome coronavirus 2 (SARA-CoV-2) omicron BA.2 variant. Methods: Real-time fluorescence polymerase chain reaction was used to detect SARS-CoV-2 nucleic acid in nasopharyngeal swab, sputum and anal swab from 217 patients with coronavirus disease 2019 (COVID-19) who were infected with severe acute respiratory syndrome coronavirus 2 omicron BA.2 variant confirmed by gene sequencing in The First Affiliated Hospital of Naval Medical University (Second Military Medical University). The differences of viral shedding time of different site samples were compared. Stratified analysis and multiple linear regression analysis were used to explore the influencing factors of viral shedding time in different site samples. Results: The age of the 217 COVID-19 patients was 32.0 (24.0, 50.5) years old, 59.0% of them were males (n=128), and 41.0% were females (n=89). Eight (3.7%) cases were diagnosed with asymptomatic infection, 184 (84.8%) cases were mild type, 21 (9.7%) cases were moderate type, 3 (1.4%) cases were severe type, and 1 (0.5%) case was critical type. A total of 70 (32.3%) patients were treated with molnupiravir. The viral shedding time of SARS-CoV-2 nucleic acid in nasopharyngeal swab, sputum and anal swab was 13.0 (11.0, 17.0) d, 16.5 (13.0, 21.0) d and 10.0 (5.3, 11.0) d, respectively, with the differences being significant between them (all P<0.001). Age 60 years old, underlying diseases (especially hypertension, coronary artery diseases, or neurological diseases), and clinical classification of moderate type were risk factors for prolonged viral shedding time in nasopharyngeal swab;male sex and underlying diseases were risk factors for prolonged viral shedding time in sputum;and male sex was a risk factor for prolonged viral shedding time in anal swab. Multiple linear regression analysis showed that critical type was an independent risk factor for prolonged viral shedding time in nasopharyngeal swab (P<0.05), and male sex and underlying diseases were independent risk factors for prolonged viral shedding time in sputum (both P<0.05). Conclusion: Among patients infected with omicron BA.2 variant, the viral shedding time in sputum is the longest and that in anal swab is the shortest. Male patients and/or patients with underlying diseases have longer viral shedding time in sputum.

Analysis of Compounding and Broadband Extinction Properties of Novel Bioaerosols

Artificially prepared microbial spores have excellent electromagnetic attenuation properties due to their special composition and structure. At present, studies on the optical properties of microbial spores have mainly focused on those with a single band or a single germplasm, which has limitations and cannot reveal the optical properties comprehensively. In this paper, 3 kinds of laboratory-prepared microbial spores were selected for compounding, and the spectral reflectivities of single-germplasm biospores and compound biospores were measured in the wavebands of 0.25–2.4 and 3–15 μm. The complex refractive indices (CRIs) were calculated in combination with the Kramers–Kronig (K-K) algorithm. Relying on the smoke box broadband test system, the transmittance of single-germplasm bioaerosols and compound bioaerosols from the ultraviolet (UV) band to the far-infrared (FIR) band was measured, and the mass extinction coefficients were calculated. The results indicate that the trend of the complex refractive indices of the compound spores is consistent with that of the single-germplasm spores with a larger particle size. For the single-germplasm bioaerosols, the lowest transmittance values were 2.21, 5.70 and 6.27% in the visible (VIS), near-infrared (NIR) and middle-infrared (FIR) bands, and the mass extinction coefficients reached 1.15, 0.87 and 0.84 m2/g, respectively. When AO and BB spores were compounded at 4:1, the extinction performance of the bioaerosols somewhat improved in all wavebands. These results can help to comprehensively analyze the optical properties of bioaerosols and provide ideas for the development of new extinction materials.

Stimulus-Responsive DNA Hydrogel Biosensors for Food Safety Detection.

Food safety has always been a major global challenge to human health and the effective detection of harmful substances in food can reduce the risk to human health. However, the food industry has been plagued by a lack of effective and sensitive safety monitoring methods due to the tension between the cost and effectiveness of monitoring. DNA-based hydrogels combine the advantages of biocompatibility, programmability, the molecular recognition of DNA molecules, and the hydrophilicity of hydrogels, making them a hotspot in the research field of new nanomaterials. The stimulus response property greatly broadens the function and application range of DNA hydrogel. In recent years, DNA hydrogels based on stimulus-responsive mechanisms have been widely applied in the field of biosensing for the detection of a variety of target substances, including various food contaminants. In this review, we describe the recent advances in the preparation of stimuli-responsive DNA hydrogels, highlighting the progress of its application in food safety detection. Finally, we also discuss the challenges and future application of stimulus-responsive DNA hydrogels.

Quantitative analysis of the impact of COVID-19 on ship visiting behaviors to ports- A framework and a case study.

Corona Virus Disease 2019 (COVID-19) outbreak leads to a significant downturn in the global economy and supply chain. In the maritime sector, trade volume slumped by 3.8% in 2020 compared with 2019. To explore the impacts of COVID-19 on ship visiting behaviors, a framework is proposed to analyze the impact of COVID-19 on port traffic using Automatic Identification System (AIS) data. Firstly, a ship travel behavior-based model is proposed to identify the vessel anchoring and berthing. Then, the diversity in vessel anchoring and berthing time are analyzed, reflecting the impact of COVID-19. The port congestion caused by COVID-19 is quantified by accounting for the number of visiting ships and their residence time. Finally, a case study is carried out on vessels in the Beibu Gulf, China, operating from 2019 to 2020. The results show that the average anchoring time and berthing time increase by 62% and 11% for cargo ships and by 112% and 63% for oil tankers after the outbreak of COVID-19 compared with that before COVID-19. And the density of ships increases in the port area in 2020. Accordingly, the relevant improvements and countermeasures are proposed to reduce the adverse impact of the epidemic on the port navigation system. The paper has the potential to provide a reference for port management and improving port navigation efficiency in the post-pandemic era.

Optimization of Vaccination Clinics to Improve Staffing Decisions for COVID-19: A Time-Motion Study.

As the COVID-19 pandemic disturbed people's daily life for more than 2 years, many COVID-19 vaccines have been carried forward systematically to curb the transmission of the virus. However, high vaccination tasks bring great challenges to personnel allocation. We observed nine vaccination clinics in Huzhou and Shanghai and built a discrete-event simulation model to simulate the optimal staffing of vaccination clinics under 10 different scenarios. Based on the result of the simulations, we optimized the allocation of vaccination staff in different stages of epidemic development by province in China. The results showed that optimizing staffing could both boost service utilization and shorten the queuing time for vaccination recipients. Taking Jilin Province as an example, to increase the booster vaccination rate within 3 months, the number of vaccination staff members needed was 2028, with a continuous small-scale breakout and 2,416 under a stable epidemic situation. When there was a shortage of vaccination staff, the total number of vaccination clinic staff members needed could be significantly reduced by combining the preview and registration steps. This study provides theoretical support for the personnel arrangement of COVID-19 vaccinations of a booster dose by province and the assessment of current vaccination staff reserves.

Disease Progression of Hospitalized Elderly Patients with Omicron BA.2 Treated with Molnupiravir.

INTRODUCTION: The efficacy of molnupiravir (MLN) on Omicron sublineages is limited. We investigated the effectiveness of MLN in older adults diagnosed with Omicron BA.2. METHODS: Data of elderly COVID-19 patients (over 60 years) admitted to Chinghai Hospital (Shanghai, China) from 26 March to 31 May 2022 were reviewed. Study outcomes were a composite of undetectable viral load (VL) and disease progression [all-cause mortality, initiation of oxygen supply through high-flow device or invasive mechanical ventilation (IMV), or intensive care unit (ICU) admission] and their individual outcomes. RESULTS: A total of 42 elderly patients were enrolled: 26 of them received MLN, 17 (40.5%) were males, the median age was 84 years, and 12 were fully vaccinated (31.0%). Among these elderly COVID-19 patients, five (11.90%) experienced obvious dyspnea or were transferred to ICU [three MLN users (11.5%) versus two non-MLN users (12.5%)]. Compared with no MLN use, MLN use was associated with rapid undetectable VL. At day 10, MLN users achieved significantly greater undetectable VL than non-MLN users. Adjusted analysis showed that elderly patients who received MLN were 7.584 times more likely to achieve undetectable VL at day 10 than non-MLN users. Overall, elderly patients experienced a median hospital stay of 13 days. Compared with patients receiving standard care (SC), the median hospital stay of MLN users was reduced by 2.5 days. CONCLUSION: Early initiation of MLN in elderly COVID-19 was associated with fast undetectable VL and short hospital stay.

Effects of COVID-19-targeted nonpharmaceutical interventions on children's respiratory admissions in China: a national multicenter time series study.

OBJECTIVES: To estimate the impact of nonpharmaceutical interventions (NPIs) targeted at the COVID-19 pandemic on the admission number of respiratory diseases, including pneumonia, acute bronchitis & bronchiolitis, and acute upper respiratory infections (AURIs) for children in China. METHODS: Continuous hospitalization records aged 0-18 years from January 1, 2016, to December 31, 2020, were collected from 26 tertiary children's hospitals. Interrupted time series analysis with a quasi-Poisson model was conducted with the start time of the COVID-19 pandemic as the interrupted timepoint and the weekly admission numbers of all-cause respiratory disease, pneumonia, acute bronchitis & bronchiolitis, and AURI as the outcome measures. Hospitalizations of childhood neoplasms were analyzed as the reference group. RESULTS: The reduction in admission numbers following NPIs was -55.0% (-57.9 to -51.9%) for all-cause respiratory diseases, -62.7% (-65.7 to -59.5%) for pneumonia, -48.1% (-53.3 to -42.3%) for bronchitis & bronchiolitis, and -24.3% (-28.6 to -19.8%) for AURI. The effect estimates of NPIs on childhood neoplasms was -29.1% (-33.6 to -24.4%). Stratification analysis showed the reduction was most drastic for children at 4-6 and 7-12 years. CONCLUSION: The admission number for respiratory diseases among children in China decreased drastically after the implementation of NPIs. NPIs with low socio-economic burdens should be suggested even outside the COVID-19 pandemic.

Effects of COVID-19-targeted NPIs on children's respiratory admissions in China: a national multicenter time series study

Objectives To estimate the impact of nonpharmaceutical interventions (NPIs) targeted at the COVID-19 pandemic on the admission number of respiratory diseases including pneumonia, acute bronchitis and bronchiolitis, and acute upper respiratory infections (AURI) for children in China. Methods Continuous hospitalization records aged 0 to 18 years from 1st January 2016 to 31st December 2020 were collected from 26 tertiary children's hospitals. Interrupted time series analysis with a quasi-Poisson model was conducted with the start time of the COVID-19 pandemic as the interrupted timepoint and the weekly admission numbers of all-cause respiratory disease, pneumonia, acute bronchitis and bronchiolitis, and AURI as the outcome measures. Hospitalizations of childhood neoplasms were analyzed as the reference group. Results The reduction in admission numbers following NPIs was -55.0% (-57.9% to -51.9%) for all-cause respiratory diseases, -62.7% (-65.7% to -59.5%) for pneumonia, -48.1% (-53.3% to -42.3%) for bronchitic&bronchiolitis, and -24.3% (-28.6% to -19.8%) for AURI. The effect estimates of NPIs on childhood neoplasms was -29.1% (-33.6% to -24.4%). Stratification analysis showed the reduction was most drastic for children at 4-6 years and 7-12 years. Conclusions The admission number for respiratory diseases among children in China decreased drastically after the implementation of NPIs. NPIs with low socio-economic burdens should be suggested even outside the COVID-19 pandemic.

Quantitative analysis of the impact of COVID-19 on ship visiting behaviors to ports- A framework and a case study

Corona Virus Disease 2019 (COVID-19) outbreak leads to a significant downturn in the global economy and supply chain. In the maritime sector, trade volume slumped by 3.8% in 2020 compared with 2019. To explore the impacts of COVID-19 on ship visiting behaviors, a framework is proposed to analyze the impact of COVID-19 on port traffic using Automatic Identification System (AIS) data. Firstly, a ship travel behavior-based model is proposed to identify the vessel anchoring and berthing. Then, the diversity in vessel anchoring and berthing time are analyzed, reflecting the impact of COVID-19. The port congestion caused by COVID-19 is quantified by accounting for the number of visiting ships and their residence time. Finally, a case study is carried out on vessels in the Beibu Gulf, China, operating from 2019 to 2020. The results show that the average anchoring time and berthing time increase by 53% and 26% for cargo ships and by 90% and 63% for oil tankers after the outbreak of COVID-19 compared with that before COVID-19. And the density of ships increases in the port area in 2020. Accordingly, the relevant improvements and countermeasures are proposed to reduce the adverse impact of the epidemic on the port navigation system. The paper has the potential to provide a reference for port management and improving port navigation efficiency in the post-pandemic era.

Prevalence and influencing factors of pandemic fatigue among Chinese public in Xi'an city during COVID-19 new normal: a cross-sectional study.

Objective: This study aimed to assess Chinese public pandemic fatigue and potential influencing factors using an appropriate tool and provide suggestions to relieve this fatigue. Methods: This study used a stratified sampling method by age and region and conducted a cross-sectional questionnaire survey of citizens in Xi'an, China, from January to February 2022. A total of 1500 participants completed the questionnaire, which collected data on demographics, health status, coronavirus disease 2019 (COVID-19) stressors, pandemic fatigue, COVID-19 fear, COVID-19 anxiety, personal resiliency, social support, community resilience, and knowledge, attitude, and practice toward COVID-19. Ultimately, 1354 valid questionnaires were collected, with a response rate of 90.0%. A binary logistic regression model was used to examine associations between pandemic fatigue and various factors. Result: Nearly half of the participants reported pandemic fatigue, the major manifestation of which was "being sick of hearing about COVID-19" (3.353 ± 1.954). The logistic regression model indicated that COVID-19 fear (OR = 2.392, 95% CI = 1.804-3.172), sex (OR = 1.377, 95% CI = 1.077-1.761), the pandemic's impact on employment (OR = 1.161, 95% CI = 1.016-1.327), and COVID-19 anxiety (OR = 1.030, 95% CI = 1.010-1.051) were positively associated with pandemic fatigue. Conversely, COVID-19 knowledge (OR = 0.894, 95% CI = 0.837-0.956), COVID-19 attitude (OR = 0.866, 95% CI = 0.827-0.907), COVID-19 practice (OR = 0.943, 95% CI = 0.914-0.972), community resiliency (OR = 0.978, 95% CI = 0.958-0.999), and health status (OR = 0.982, 95% CI = 0.971-0.992) were negatively associated with pandemic fatigue. Conclusion: The prevalence of pandemic fatigue among the Chinese public was prominent. COVID-19 fear and COVID-19 attitude were the strongest risk factors and protective factors, respectively. These results indicated that the government should carefully utilize multi-channel promotion of anti-pandemic policies and knowledge.

Identification of hACE2-interacting sites in SARS-CoV-2 spike receptor binding domain for antiviral drugs screening.

The key structure of the interface between the spike protein of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and human angiotensin-converting enzyme 2 (hACE2) acts as an essential switch for cell entry by the virus and drugs targets. However, this is largely unknown. Here, we tested three peptides of spike receptor binding domain (RBD) and found that peptide 391-465 aa is the major hACE2-interacting sites in SARS-CoV-2 spike RBD. We then identified essential amino acid residues (403R, 449Y, 454R) of peptide 391-465 aa that were critical for the interaction between the RBD and hACE2. Additionally, a pseudotyped virus containing SARS-CoV-2 spike with individual mutation (R454G, Y449F, R403G, N439I, or N440I) was determined to have very low infectivity compared with the pseudotyped virus containing the wildtype (WT) spike from reference strain Wuhan 1, respectively. Furthermore, we showed the key amino acids had the potential to drug screening. For example, molecular docking (Docking) and infection assay showed that Cephalosporin derivatives can bind with the key amino acids to efficiently block infection of the pseudoviruses with wild type spike or new variants. Moreover, Cefixime inhibited live SARS-CoV-2 infection. These results also provide a novel model for drug screening and support further clinical evaluation and development of Cephalosporin derivatives as novel, safe, and cost-effective drugs for prevention/treatment of SARS-CoV-2.

Research progress on immunological features and immunotherapy strategies of coronavirus disease 2019

Since December 2019, there had been an outbreak of coronavirus disease 2019 (COVID-19) epidemic caused by severe-acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China. Immunological features of COVID-19 have a potential value for clinical diagnosis and treatment. This review discussed the importance of immune homeostasis in COV1D-19, and provided several suggestions on immunoprophykxis and immunotherapy for COVID-19.

Antibacterial Capability of Air Filter Fiber Materials Treated with Triclosan against Indoor Environmental Microbes

Antibacterial filtration materials have been used effectively to control biological pollutants and purify indoor air. This study aimed to assess the antibacterial capability of three fiber filter materials treated with triclosan: glass fiber (GF), non-woven fabric (NF) and chemical fiber (CF). Triclosan was loaded onto the filtration materials by the impregnation method. The triclosan-treated filter materials exhibited antibacterial zones obviously: the average antibacterial bands against E. coli were 11.8 mm (GF), 13.3 mm (NF) and 10.5 mm (CF);against S. albus, they were 25.5 mm (GF), 21.0 mm (NF) and 23.5 mm (CF). The percent reductions of bacteria for the antibacterial air fiber materials treated with triclosan against E. coli were 71.4% (CF) and 62.6% (GF), while the percent reductions against S. albus were 61.3% (NF) and 84.6% (CF). These findings could help to reduce the transmission and threat of epidemic and purify the environment through the use of environmentally friendly antibacterial filter fibers.

Pilot Feasibility Study of a Multi-View Vision Based Scoring Method for Cervical Dystonia.

Abnormal movement of the head and neck is a typical symptom of Cervical Dystonia (CD). Accurate scoring on the severity scale is of great significance for treatment planning. The traditional scoring method is to use a protractor or contact sensors to calculate the angle of the movement, but this method is time-consuming, and it will interfere with the movement of the patient. In the recent outbreak of the coronavirus disease, the need for remote diagnosis and treatment of CD has become extremely urgent for clinical practice. To solve these problems, we propose a multi-view vision based CD severity scale scoring method, which detects the keypoint positions of the patient from the frontal and lateral images, and finally scores the severity scale by calculating head and neck motion angles. We compared the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) subscale scores calculated by our vision based method with the scores calculated by a neurologist trained in dyskinesia. An analysis of the correlation coefficient was then conducted. Intra-class correlation (ICC)(3,1) was used to measure absolute accuracy. Our multi-view vision based CD severity scale scoring method demonstrated sufficient validity and reliability. This low-cost and contactless method provides a new potential tool for remote diagnosis and treatment of CD.

Promoting the capacity of control and prevention of emerging and imported infectious diseases: a practice in the integration of clinical and preventive medicine in Shanghai

Shanghai is a super-large metropolis with a highly developed globalization. Since the 21st century, Shanghai has experienced several threats of emerging and imported infectious diseases. Infectious disease surveillance has been established and developed from single-disease surveillances to a comprehensive surveillance network. Integration of clinical and preventive medicine has been gradually extended, which facilitates the improvement in the monitoring and early warning system. In 2020, when the COVID-19 epidemic spread, Shanghai quickly established a prevention and control expert team and a clinical medical expert team to effectively and shortly control local COVID-19 epidemic. In order to improve Shanghai's capacity to respond to major epidemics of infectious diseases and public health emergencies, the metropolis will build and improve a three-level diagnosis and treatment system for emerging, imported, rare, and unknown infectious diseases in the next five years. Based on the big data monitoring platform of medical institutions, Shanghai will achieve the intelligence-supported diagnosis and treatment of infectious diseases, and consolidate the cooperation to implement the integration of clinical and preventive medicine.

Short-term exposure to gaseous air pollutants and daily hospitalizations for acute upper and lower respiratory infections among children from 25 cities in China.

To examine the short-term association between gaseous air pollutants (CO, NO2, SO2, and O3) and all-cause respiratory disease, acute upper respiratory infections (AURIs) as well as acute lower respiratory infections (ALRIs) among children, we conducted the study from 25 major cities in China. Hospitalization records of children aged 0-18 years due to all-cause respiratory diseases (889,926), AURIs (97,858), and ALRIs (642,154) from 2016 to 2019 were extracted. Concentrations of CO, NO2, SO2, and O3 were averaged across monitoring stations. Generalized additive models were used to estimate the associations between gaseous air pollutants and daily hospitalizations for all-cause respiratory disease, AURIs, and ALRIs. The meta-analysis was used to combine the city-specific estimates. A 10 mg/m3 increase in CO at lag01, and a 10 µg/m3 increase in NO2, SO2, and O3 at lag01 were associated with 1.65% (95%CI, 0.41-2.91), 0.54% (95%CI, 0.30-0.79), 0.60% (95%CI, 0.22-0.99), and 0.23% (95%CI, 0.06-0.39) increase of hospitalizations due to all-cause respiratory disease, respectively. For the disease subtype, O3 only had adverse effects on AURIs, CO and SO2 mainly on ALRIs, and NO2 on both AURIs and ALRIs. Children aged 4-6years were more vulnerable to the effects of CO and NO2, but those aged <1year were more susceptible to SO2 and O3. Besides, the O3 effect was stronger in the warm season than in the cold season. The study indicated that short-term exposure to CO, NO2, SO2, and O3 was associated with increased hospitalization for pediatric respiratory disease, and the association may vary by position of the respiratory tract, age, and season.

Pilot Feasibility Study of a Multi-View Vision Based Scoring Method for Cervical Dystonia

Abnormal movement of the head and neck is a typical symptom of Cervical Dystonia (CD). Accurate scoring on the severity scale is of great significance for treatment planning. The traditional scoring method is to use a protractor or contact sensors to calculate the angle of the movement, but this method is time-consuming, and it will interfere with the movement of the patient. In the recent outbreak of the coronavirus disease, the need for remote diagnosis and treatment of CD has become extremely urgent for clinical practice. To solve these problems, we propose a multi-view vision based CD severity scale scoring method, which detects the keypoint positions of the patient from the frontal and lateral images, and finally scores the severity scale by calculating head and neck motion angles. We compared the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) subscale scores calculated by our vision based method with the scores calculated by a neurologist trained in dyskinesia. An analysis of the correlation coefficient was then conducted. Intra-class correlation (ICC)(3,1) was used to measure absolute accuracy. Our multi-view vision based CD severity scale scoring method demonstrated sufficient validity and reliability. This low-cost and contactless method provides a new potential tool for remote diagnosis and treatment of CD.

The Selectivity and Suitability of Online Learning Resources as Predictor of the Effects of Self-Efficacy on Teacher Satisfaction During the COVID-19 Lockdown.

Online learning resources (OLR) play an important role in teaching and learning in the process of online learning. Teachers will be satisfied with selectable and suitable online learning resources, which can promote their self-efficacy to facilitate online teaching and learning. This study proposed a model to examine the effects of the selectivity of online learning resources (SE-OLR) and the suitability of online learning resources (SU-OLR) on teachers' online teaching satisfaction, and the mediating role of technology self-efficacy (TECHN-SE) and online teaching self-efficacy (OT-SE) between them. The results indicated that SE-OLR and SU-OLR positively affected teachers' online teaching satisfaction; TECHN-SE and OT-SE positively influenced teachers' online teaching satisfaction, while TECHN-SE and OT-SE played mediating roles between SE-OLR and SU-OLR and teachers' online teaching satisfaction. The findings have implications for the design and development of online learning resources to improve teachers' satisfaction and facilitate students' learning effectiveness and teachers' online teaching.