Ventilatory Control Research Articles

Investigating dilution ventilation control strategies in a modern U.S. school bus in the context of the COVID-19 pandemic

Fresh air ventilation has been identified as a widely accepted engineering control effective at diluting air contaminants in enclosed environments. The goal of this study was to evaluate the effects of selected ventilation measures on air change rates in school buses. Air changes per hour (ACH) of outside air were measured using a well-established carbon dioxide (CO2) tracer gas decay method. Ventilation was assessed while stationary and while traversing standardized route during late autumn/winter months in Colorado. Seven CO2 sensors located at the driver’s seat and at passenger seats in the front, middle, and rear of the bus yielded similar and consistent measurements. Buses exhibited little air exchange in the absence of ventilation (ACH = 0.13 when stationary; ACH = 1.85 when mobile). Operating the windshield defroster to introduce fresh outside air increased ACH by approximately 0.5–1 ACH during mobile and stationary phases. During the mobile phase (average speed of 23 miles per hour (mph)), the combination of the defroster and two open ceiling hatches (with a powered fan on the rear hatch) yielded an ACH of approximately 9.3 ACH. A mobile phase ACH of 12.4 was achieved by the combination of the defroster, ceiling hatches, and six passenger windows open 2 inches in the middle area of the bus. A maximum mobile phase ACH of 22.1 was observed by using the defroster, open ceiling hatches, driver window open 4 inches, and every other passenger window open 2 inches. For reference, ACHs recommended in patient care settings where patients are being treated for airborne infectious diseases range from 6 to ≥12 ACHs. The results indicate that practical ventilation protocols on school buses can achieve air change rates thought to be capable of reducing airborne viral transmission to the bus driver and student passengers during the COVID-19 pandemic.

Assessment of respirable aerosol concentrations using local ventilation controls in an open multi-chair dental clinic

Dental procedures require patients to be unmasked throughout most of a dental visit, with some procedures generating both inhalable and respirable aerosols. Understanding aerosol generation and transport were important to developing protocols to protect both the patient and workers in dental environments early in the COVID pandemic. This study investigated the need, suitability, and effectiveness of using local exhaust ventilation units during patient procedures and examined the impact of patient density in a large, multi-chair dental clinic at an academic institution. Phase One measured respirable aerosol concentrations at the dental assistant’s breathing zone and in neighboring unoccupied patient operatories. Results were compared during four dental procedures with three local ventilation (LV) options, with a single faculty performing procedures on a simulated patient. Phase Two deployed LV in all active patient operatories during procedures on actual patients and examined the impact of clinic patient occupancy on respirable aerosol concentrations throughout the clinic. During Phase One, respirable aerosol concentrations in nearby operatories were significantly higher during ultrasonic scaling (mean = 3.8 and SD = 0.3 µg/m3) and lower during rubber cup polishing (mean = 0.8 and SD = 0.5 mg/m3) (p < 0.001). While the same trend was identified for the dental assistant, differences were not significant. There was no difference in respirable aerosol concentrations by LV type when measured at the dental assist (p = 0.51, task means 3 to 32. 5 µg/m3) or neighboring rooms (p = 0.93, task means 0.6 to 4.0 µg/m3), indicating no improved control for any device tested. For Phase Two, the clinic deployed the extraoral suction (EOS) system in each patient operatory. The background-adjusted aerosol concentrations were significantly reduced (F < 0.001) when the operatories were occupied at 50% compared to 25%, likely attributed to increased air filtration of the room with double the EOS systems in use. While this study provides only a single case investigation, findings confirming respirable aerosol concentrations by procedure and across days provided insights into patient scheduling, local exhaust ventilation selection, and operation, which could be useful to other open multi-chair dental clinics.

Vaccination

Vaccination

Evaluation of the Relationship Between Changes in Potassium Concentration and Arrhythmia During Coronary Artery Bypass Grafting Surgery.

BackgroundCoronary artery bypass grafting (CABG) surgery is a treatment option for coronary artery diseases. Cardiac arrhythmias during CABG surgery can lead to serious complications. Potassium ion concentration is a factor involved in such arrhythmias. ObjectivesThis study aimed to investigate the relationship between potassium concentration and cardiac arrhythmias in CABG surgery.MethodsThis descriptive cross-sectional study was performed on 60 patients with the American Society of Anesthesiologists class I, II, and III undergoing CABG surgery at Golestan Hospital, Ahvaz, Iran. All patients underwent general anesthesia, and ventilator control was achieved by mechanical ventilation. The on-pump method was used for CABG. Potassium levels were measured at several time points during surgery. All cardiac arrhythmias were recorded. Mean arterial pressure (MAP), serum level of potassium, blood sugar, blood urea nitrogen (BUN), creatinine, calcium, magnesium, hemoglobin (Hb), and sodium were also recorded.Results The mean age of the patients was 60.87 ± 7.35 years, and 45% of the subjects were female. Moreover, there was no statistically significant difference between the patients. There was a significant relationship between the changes in MAP, potassium, blood sugar, BUN, creatinine, calcium, and magnesium with the incidence of cardiac arrhythmias (P < 0.05). However, no significant relationship was noted between Hb and sodium levels with the incidence of cardiac arrhythmias (P < 0.05).ConclusionsThe changes in potassium levels increase the risk of cardiac arrhythmias and their complications.

Tunnel fire smoke control based on the PID method: A numerical study

A proportional-integral-differential (PID) ventilation controller is numerically investigated in the context of smoke control to protect the region upstream of the tunnel fire, while also considering the effect on the downstream region. This study proposes a method by coupling a full-field CFD model and the PID algorithm to control the fire-induced smoke automatically. In this method, the ventilation system automatically adjusts the ventilation velocity such that the smoke back-layering is controlled at the control point. The stability of the PID ventilation system is analyzed first, after which a set of values for the controller coefficients are determined for practical reference. The results manifest excellent stability, which guarantees the rationality and practicability of the system. Furthermore, this study investigates the influence of the control distance on the robustness of the PID ventilation system. For a tunnel with a 30 m upstream region and under the determined coefficients, there are three control patterns: the first is that the smoke crosses the control point only once before it is controlled; the second is that the smoke crosses the control point twice before it is controlled; the third is that the smoke crosses the control point just once before it is controlled, but the smoke can reach the entrance of the tunnel. The results show that the PID ventilation system performs in an excellent manner for various control distances. Finally, the comparison of the time-averaged quasi-steady state ventilation velocity as acquired by the PID ventilation system to experimental data as obtained for a constant ventilation based system shows good agreement, illustrating that the simulation results are reliable.

Case Study of the Largest Concrete Earth Pressure Balance Pipe-Jacking Project in the World

Pipe jacking has been the dominant trenchless technology for constructing small (&lt;2 m) to medium-diameter (&lt;4 m) tunnels. Uncertainties and construction difficulties increase significantly when the diameter of the tunnel exceeds 4 m. This paper presents a case study of the largest concrete pipe-jacking tunnel project in the world, the sewerage tunnel along Jinshan Lake, Zhenjiang, China. In this project, an underwater tunnel with a diameter of 4.67 m was constructed by the earth pressure balance (EPB) pipe-jacking method. The case study reports project background, and geological and hydrogeology conditions. The key techniques such as the selection of pipe-jacking machine, jacking force estimation and control, design of intermediate jacking station, grouting process control, launching, and reception of the tunnel boring machine, trajectory control of pipe jacking, and ventilation and gas monitoring during the construction period were investigated and discussed. Furthermore, to overcome the technical difficulties associated with the oversized jacked tunnel, the corresponding countermeasures were adopted point by point, so that the safety of the whole project could be guaranteed. This study filled the knowledge gap of technical know-how for large-diameter (over 4.5 m) pipe-jacking tunnel and is expected to provide practical guide for future large-diameter pipe-jacking tunnels.

A real-time web tool for monitoring and mitigating indoor airborne COVID-19 transmission risks at city scale.

Airborne transmission of aerosols contributes to a large portion of the SARS-CoV-2 spread indoors. This study develops a real-time interactive web-based platform for the public to compare various strategies to curb indoor airborne transmission of COVID-19 in different archetype buildings at a city scale. Although many countries have started vaccination and a gradual re-opening, because of emerging new variants of the virus and the possibility of future pandemics, a lively updated tool for monitoring and mitigation of infection risk is essential. As a demonstration, we evaluated the impacts of six mitigation measures on the infection risks in various building types in a city. It shows that the same strategy could perform quite differently, depending on building types and properties. All strategies are shown to reduce the infection risk but wearing a mask and reducing exposure time are the most effective strategies in many buildings, with around 60% reduction. Doubling the minimum required outdoor air ventilation rate is not as effective as other strategies to reduce the risk. It also causes considerable penalties on energy consumption. Therefore, new building ventilation standards, control actions, and design criteria should be considered to mitigate the infection risk and save energy.

Повышение безопасности и эффективности проветривания угольных шахт путем управления воздухораспределением

The results are presented concerning the study and evaluation of the coal mines ventilation control using the decomposition method based on the analysis data of the aerodynamic parameters of air distribution obtained using application software. Decomposition methods, statistical dynamics, set theory, basic laws of mine aerodynamics, discrete mathematics are described. It is noted that the operational redistribution of air flow rates in the workings of the ventilation network depends on the deviations of the controlled parameters from the technological norms provided for by the current mine safety rules. Universal methodology can be used in the mine workings to analyze and evaluate ventilation processes and related aerodynamic factors, as well as to optimize the air distribution control system in various operating modes considering specific features of the mine ventilation network. Proposed methodology and the application software developed on its basis were adapted at the coal mines of the Russian Federation. It is determined that at the enterprises of the coal industry of Sadkinskoye Mine Management LLC the efficiency improvement is achieved by organizing air supply of lava sections by 20–23 %, and at DONUGLEMASH State Enterprise it is provided by improving the quality of lavas ventilation by 17–20 % and reducing unplanned downtime by 10 %. The real annual effect in JSC SUEK-Kuzbass from the implementation of the developed methodology amounted to 3.15 million rubles. Implementation of the proposed measures will ensure an increase in efficiency, safety, and a reduction in accidents during mining operations at the coal mines.

Using global research on ventilation and airborne infection control for impacting public policy through the Indian Judiciary

This paper aims to bring to light the need, with an example, for the intervention of the government agencies in developing regulations for ventilation in buildings to prevent airborne diseases. The authors have highlighted the missing areas in the current regulations in India and prepared a public interest litigation. This plea was filed in the Delhi High Court, and the court responded positively and instructed the authorities to treat the plea as a representation and work out solutions to the problem. In India, the right to a healthy environment has become a Fundamental Right under Article 21 of the Indian Constitution. The petitioners, as researchers in the area themselves, send the message of immediate public intervention through their research, especially if it is an area of urgent attention. This piece is written to encourage researchers across the world to become active in making sure their research is put into action.

Risk factors for and clinical outcomes of ceftazidime-avibactam-resistant carbapenem-resistant Klebsiella pneumoniae nosocomial infections: a single-center retrospective study.

The emergence of ceftazidime-avibactam (CZA) resistance in carbapenem-resistant Klebsiella pneumoniae (CRKP) has been increasingly reported in recent years. We aimed to identify the risk factors of CZA-resistant CRKP infection and assess clinical outcomes of the patients. The study retrospectively analyzed the clinical and microbiological data of patients with CRKP infection to identify risk factors, clinical features, and outcomes using multivariate logistic regression analysis. A total of 103 patients with CRKP infection were enrolled in this study. Multivariate analysis showed previous renal replacement therapy (OR 3.966, 95% CI 1.301-12.090, P = 0.015) was an independent risk factor for CZA-resistant CRKP infection. The 28-day mortality was higher in patients infected with CZA-resistant CRKP (27.9%) than those with CZA-susceptible CRKP (7.1%) (P = 0.009). CZA-resistant CRKP infection (OR 20.308, 95% CI 1.461-282.293, P = 0.025), and mechanical ventilation (OR 14.950, 95% CI 1.034-216.212, P = 0.047) were independent predictors for 28-day mortality in patients with CRKP infection. Lower level of platelet count (OR 0.987, 95% CI 0.975-0.999, P = 0.032) on the day of CRKP infection onset was related to 28-day mortality. Kaplan-Meier curves showed that the CZA-resistant CRKP group had a shorter survival time than the CZA-susceptible CRKP group. The prevalence and mortality of CZA-resistant CRKP are still increasing. Strengthening the hospital infection control of renal replacement therapy and mechanical ventilation may help to prevent CZA-resistant CRKP.

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).

Multi-source fault diagnosis of chiller plant sensors based on an improved ensemble empirical mode decomposition Gaussian mixture model

As the core of the heating, ventilation, and air-conditioning (HVAC) control system, the sensor directly determines whether the HVAC control system is running normally. Poor natural and artificial environments can cause sensors to simultaneously fault, called multi-source sensor faults. Compared to the other methods, the Gaussian mixture model (GMM) has a better effect on high-dimensional data classification. In this paper, an improved ensemble empirical mode decomposition hard threshold denoising (EEMD-HTD) is first proposed to denoise the collected data and highlight each sensor’s fault characteristics. Secondly, the single-source and multi-source faults of the sensors are analyzed by the GMM at different points. The above fault diagnosis processes are collectively referred to as EEMD-HTD-GMM. Experimental results show that the EEMD-HTD-GMM has a higher diagnostic ability and distinguishes between the fault types that cause GMM classification confusion.

Changes in intrathoracic pressure, not arterial pulsations, exert the greatest effect on tracer influx in the spinal cord

BackgroundCerebrospinal fluid (CSF) circulation in the brain has garnered considerable attention in recent times. In contrast, there have been fewer studies focused on the spine, despite the expected importance of CSF circulation in disorders specific to the spine, including syringomyelia. The driving forces that regulate spinal CSF flow are not well defined and are likely to be different to the brain given the anatomical differences and proximity to the heart and lungs. The aims of this study were to determine the effects of heart rate, blood pressure and respiration on the distribution of CSF tracers in the spinal subarachnoid space, as well as into the spinal cord interstitium.MethodsIn Sprague Dawley rats, physiological parameters were manipulated such that the effects of spontaneous breathing (generating alternating positive and negative intrathoracic pressures), mechanical ventilation (positive intrathoracic pressure only), tachy/bradycardia, as well as hyper/hypotension were separately studied. To investigate spinal CSF hydrodynamics, in vivo near-infrared imaging of intracisternally infused indocyanine green was performed. CSF tracer transport was further characterised with in vivo two-photon intravital imaging. Tracer influx at a microscopic level was quantitatively characterised by ex vivo epifluorescence imaging of fluorescent ovalbumin.ResultsCompared to mechanically ventilated controls, spontaneous breathing animals had significantly greater movement of tracer in the subarachnoid space. There was also greater influx into the spinal cord interstitium. Hypertension and tachycardia had no significant effect on spinal subarachnoid spinal CSF tracer flux and exerted less effect than respiration on tracer influx into the spinal cord.ConclusionsIntrathoracic pressure changes that occur over the respiratory cycle, particularly decreased intrathoracic pressures generated during inspiration, have a profound effect on tracer movement after injection into spinal CSF and increase cord parenchymal tracer influx. Arterial pulsations likely drive fluid transport from perivascular spaces into the surrounding interstitium, but their overall impact is less than that of the respiratory cycle on net tracer influx.

Immediate knowledge retention among nursing students in live lecture and video-recorded lecture: A quasi-experimental study

Aim/ObjectiveTo determine if video-recorded lecture provided better immediate knowledge retention than live lecture BackgroundIn line with the call to increase nationally graduated nurses as recommended by KSU 2030 Vision, educational institutions in Saudi Arabia are required to increase the enrollment to the Bachelor of Science in Nursing program. As a result, there is increased number of sections or groupings which created a need for additional faculty. However, to mitigate the impact of faculty shortage, the Administration embarked on exploring innovative teaching strategies that would ensure that lecture contents across groups of students are uniform and instructions are similar. Hence there is a need to explore innovative teaching strategies that would ensure that contents across groups of students are uniform, and instructions are similar. DesignThe study employed a quasi-experimental design to examine if video-recorded lectures provided better immediate knowledge retention than live lectures. MethodsA total of 160 s -year nursing students were randomly assigned to either of the two teaching strategies (video-recorded lecture or live lecture). Data were collected at a public university in Riyadh, Saudi Arabia. Both lectures covered the interpretation of arterial blood gases (ABG) and all students had no prior knowledge on the subject. Pretest and posttest using the same 16 questions were administered to both groups. Each item was comprised of a combination of ABG results. Students were to choose the correct answer from four choices of interpretations of the ABG result. ABG is assessed to determine gas exchange, ventilator control and acid-base balance among patients with acute or chronic illnesses. Assessment of immediate knowledge retention was conducted using a questionnaire comprised of 16 multiple-choice items to be used in both the pretest and posttest. Each item was comprised of a combination of ABG results. ResultsThe live lecture group's posttest mean score did not differ significantly from that of the video-recorded lecture group; t (156.52) = 0.47, p = 0.64, d = −0.08. The odds ratio is 1.27 and the probability is 95%. CI:.64, 2.50. ConclusionThis study found no difference between video-recorded lectures and live lectures in terms of providing immediate knowledge retention. Video-recorded lectures are a viable complementary teaching strategy. There is a need to enhance the instructional design so that learning objectives are more clearly defined, contents are aligned with the learning objectives, teaching strategies should include active participation from learners and outcomes should be assessed based on the learning objectives.

Flow measurement uncertainty quantification for building central cooling systems with multiple water-cooled chillers using a Bayesian approach

Measurement uncertainty has significant negative impacts on the operation and control of heating, ventilation and air conditioning systems. It is a big challenge and should be solved urgently. Existing studies focus on reducing the impacts of measurement uncertainty by developing uncertainty tolerant methods without quantifying the measurement uncertainties themselves. They therefore fail to fundamentally solve them. This study aims to directly quantify the measurement uncertainties of water flow meters in multiple water-cooled chiller systems using a Bayesian approach. A measurement uncertainty quantification strategy is proposed based on Bayesian inference and energy balance models, and the Markov chain Monto Carlo method is used to achieve the strategy. The site data collected from a chiller system are used to test the strategy. Four simulation tests with different levels of measurement uncertainty are conducted to further test and systematically validate the strategy. Test results show that the measurement uncertainties (both systematic and random uncertainties) of the water flow meters in the chiller systems can be quantified effectively and with acceptable accuracy. The strategy performs very well in quantifying random uncertainties of flow meters, and the relative errors range from 0% to 12.8%. The performance of the strategy in quantifying systematic uncertainties is also satisfactory, and the relative errors range from 0.1% to 36.57%. The proposed strategy is able to quantify measurement uncertainties and can be used to optimize the control of chiller systems and improve the reliability of chiller systems.

Combined effects of ventilation rates and indoor temperatures on cognitive performance of female higher education students in a hot climate.

Impairment in mental functions attributed to the effects of indoor air quality and thermal conditions has received considerable attention in the past decade, particularly for educational buildings where students’ cognitive performance is essential to foster learning. This study explores the combined effects of indoor temperatures and CO2 levels as markers for ventilation rates on cognitive performance among female students (16–23 years old) in Saudi Arabia. The longitudinal experiments involved nine conditions combining three CO2 concentration levels (achieved via changes in ventilation) and three temperature levels involving 499 participants, all exposed to the nine conditions. The study implemented a computer‐based cognitive performance battery with “9Button” keyboards. Univariable and multivariable multilevel regression models explored the association of indoor temperature and CO2 levels (as markers for ventilation rates) with cognitive performance after adjusting for potential confounders. Potential benefits were found on speed and accuracy of tasks of cognitive performance when indoor temperature was set between 20 and 23ºC and at CO2 levels of 600 ppm compared to higher temperatures and poorer ventilation rates and that both ventilation and thermal environmental control are important and need to be improved for achieving optimum learning conditions. Nevertheless, the results are relevant for short‐term exposures lasting no more than 2 h.

Les progestatifs de la famille des gonanes, seuls ou associés à des agents sérotoninergiques, une éventuelle piste thérapeutique pour le syndrome d’Ondine

Central hypoventilation syndromes such as Ondine's curse are rare neurorespiratory diseases associated with dysregulation of the vegetative (or autonomous) nervous system. They are characterized by a defect in the automatic control of ventilation, with a severe reduction or even the absence of CO2/H+ chemosensitivity. As no effective pharmacotherapy currently exists, lifelong mechanical ventilation is the only available treatment for patients suffering from these syndromes. In this context, clinical observation and studies in animal models suggest that gonane progestins, alone or in combination with serotonergic agents, could constitute a therapeutic alternative.

Intensive care unit-acquired weakness and the COVID-19 pandemic: A clinical review.

Patients with severe cases of coronavirus disease 2019 (COVID-19) often become critically ill requiring intensive care unit (ICU) management. These individuals are at risk for developing ICU-acquired weakness (ICUAW), a multifactorial condition in which polyneuropathy, myopathy, and/or disuse muscle atrophy result in motor weakness. This weakness is thought to contribute to the long-term functional disability frequently observed in survivors of critical illness. This review discusses the current evidence regarding the epidemiology, pathophysiology, evaluation, risk factors, and rehabilitation-specific management of ICUAW in patients with COVID-19. Because of the novelty of COVID-19, the exact prevalence of ICUAW is not well delineated among COVID-19 patients. However, ICUAW has been reported in this population with retrospective studies showing weakness occurring in up to 45.5% of patients with severe COVID-19. There are multiple risk factors for developing ICUAW among COVID-19 patients, including premorbid health status, sepsis, multiple organ failure, mechanical ventilation, immobilization, neuromuscular blockade, corticosteroid use, and glycemic control. ICUAW is more likely to occur after prolonged mechanical ventilation and long hospital stays and can be diagnosed with manual muscle and electrodiagnostic testing. Although the long-term sequela of COVID-19 after ICU stays is not fully studied, increasing evidence indicates significant risk for this population developing long-term functional impairments. Establishing postacute rehabilitation programs for COVID-19 survivors will be important for recovery of endurance, mobility, and function.

Seasonal patterns and semi-empirical modeling of in-vehicle exposure to carbon dioxide and airborne particulates in Dalian, China

Field measurements of in-vehicle carbon dioxide (CO2), PM0.3, PM1.0, PM2.5, and PM10 mass concentrations were conducted along three main roadways in Dalian, China, during spring, summer, and winter. The temperature, relative humidity, and air pressure both inside and outside the vehicle were recorded simultaneously. A correlation analysis was used to evaluate the dominant factors influencing the CO2 and particle mass concentrations. Two semi-empirical pollutant models describing the in-vehicle CO2 and particle mass concentrations were established and validated using field data. The in-vehicle CO2 concentration exceeded the 1000 ppm limit during the majority of the period. Among the different cases, the averaged in-vehicle CO2 concentration under international air conditioning (AC) conditions was highest at 2977.9 ± 914.1–3866.7 ± 1035.9 ppm. In contrast, the in-vehicle PM2.5 mass concentration did not reveal significant variation among the different cases. These results, especially those of semi-empirical pollutant dispersion models, could predict in-vehicle pollutant exposure levels, providing useful guidance for optimized ventilation control in vehicles.

Metabolism-based ventilation monitoring and control method for COVID-19 risk mitigation in gymnasiums and alike places.

Gymnasiums, fitness rooms and alike places offer exercise services to citizens, which play positive roles in promoting health and enhancing human immunity. Due to the high metabolic rates during exercises, supplying sufficient ventilation in these places is essential and extremely important especially given the risk of infectious respiratory diseases like COVID-19. Traditional ventilation control methods rely on a single CO2 sensor (often placed at return air duct), which is often difficult to reflect the human metabolic rates accurately, and thus can hardly control the infection risk instantly. Thus, to ensure a safe and healthy environment in places with high metabolism, a real-time metabolism-based ventilation control method is proposed. A computer vision algorithm is developed to monitor human activities (regarding human motion amplitude and speed) and an artificial neural network is established for metabolic prediction. Case studies show that the proposed metabolism-based ventilation control method can reduce the infection probability down to 4.3-6.3% while saving 13% of energy in comparison with the strategy of fixed-fresh-air ventilation. In the development of healthy and sustainable society, gymnasiums and alike exercise places are essential and the proposed ventilation control method is a promising solution to decrease the risk of COVID-19 while preserving features of energy saving and carbon emission reduction.