Historical review and reflections on the participation of acupuncture and moxibustion in the treatment of epidemics in the People’s Republic of China (from 1950 until now)

Since the establishment of the People’s Republic of China, both the Communist Party and the government have placed great emphasis on the advancement of traditional Chinese medicine. Acupuncture and moxibustion have been actively involved in combating major epidemics such as malaria, schistosomiasis, and COVID-19. This article conducts a historical review of these three significant cases to elucidate how the acupuncture community has effectively utilized its unique advantages and characteristics through theoretical discussions, clinical practices, experimental research, as well as receiving administrative leadership and political support from the Communist Party of China and government. We provide an objective evaluation of their effectiveness while summarizing historical experiences to serve as a reference for future utilization of acupuncture and moxibustion therapy in epidemic relief efforts. Additionally, propose four suggestions: strengthening Party leadership and enhancing political support;timely summarization of experiences to establish programs and systems;deepening scientific research by integrating experimental findings with clinical practice;focusing on public awareness campaigns and education to solidify grassroots foundations.

Study on Influence of the COVID-19 Epidemic on Tourism Consumption Structure in Shandong Province

At the end of 2019,the sudden outbreak of the COVID-19 epidemic brought great challenges to the world,and China's tourism industry suffered an unprecedented heavy blow.Exploring the impact of the epidemic on tourism consumption structure has become a research focus in the post-epidemic era.In this study,based on Shandong Tourism Statistics Handbook from 2018 to 2020,taking Shandong Province as an example,the changes of total tourism revenue and tourism consumption structure in Shandong Province before and after the COVID-19 epidemic were compared to predict the development of tourism in Shandong Province in the post-epidemic era and find out existing problems,and optimization paths were put forward for the development of tourism in Shandong Province in the post-epidemic era.

Risk Factors for Severity and Mortality of Patients Hospitalized for COVID-19 during the 3rd Wave of the Epidemic-Sao Tome and Principe

Rationale: In the literature, some risk factors for severity and mortality from COVID-19 have been indicated. However, these factors can change, depending on the characteristics of the population and health services. In this sense, longitudinal studies can be useful for understanding local realities and subsidizing health actions based on these realities. Objective: To analyze the risk factors for severity and death in hospitalized patients with COVID-19. Methods: A retrospective cohort of patients with COVID-19 hospitalized from August 1 to October 16, 2021 (3rd wave of the pandemic), notified by the Department of Epidemiological Surveillance of Sao Tome and Principe. We employed measures of strength of associations for the analysis of exposure risk factors. Results: We analyzed 110 hospitalized patients (31.8% severe-critical and 68.2% non-severe). The risk factors for severe forms of COVID-19 were: being aged ≥60 years (RR = 3.3), being male (RR = 2), having comorbidities (RR = 2) and the risk increases to 10-fold for multicomorbidities, with emphasis on obesity, neoplasia, skin-muscle-surgical infection, dementia and to some degree CVD. 62.9% of patients with severe forms of the disease were not vaccinated. Risk factors for death among hospitalized and severe/critical cases, respectively, were having comorbidities (RR = 8 and 2.4) multicomorbidities (RR = 10 and 2.8 for those with 2 comorbidities and RR = 33.3 and 4 for those with 3 or 4 comorbidities), especially diabetes, dementia, neoplasia, cutaneous-muscular infection, and obesity. Although CVD was not associated with risk factors for death, these were the most frequently found among the severely hospitalized and deaths. In addition, important risk factors associated with death were not using corticoids (RR = 3.3, 230-fold risk) and not using anticoagulants-heparin (RR = 1.3, 30% risk) more compared to the severe cases that did use them. Most of the patients who died (63.2%) were not vaccinated. Moreover, having only 1 dose of the vaccine was a risk factor 1.9 times more for death among all hospitalized patients, but in the severe cases, there was no association between the variable vaccination and death. Among those hospitalized with 2 doses, it was a 0.5-fold protective factor among those hospitalized. The Delta variant of Sarscov-2 was the one found among severe cases and deaths investigated by genetic sequencing, with more exuberant clinical features compared to the other 2 previous vaccinations. Conclusion: Being elderly, male and presenting comorbidities, mainly multicomorbidities were the main characteristics associated with severity of COVID-19. On the other hand, comorbidities, and even worse, multicomorbidities, hospitalization for respiratory failure, lowered level of consciousness, no use of corticoid and no use of anticoagulation in critically ill patients, and not having at least 2 doses of vaccine for covid-19, were characteristics associated with death by COVID-19. These results will help inform healthcare providers so that the best interventions can be implemented to improve outcomes for patients with COVID-19. Public health interventions must be carefully tailored and implemented in these susceptible groups to reduce the risk of mortality in patients with COVID-19 and then the risk of major complications. Intensive and regular follow-up is needed to detect early occurrences of clinical conditions.

Analysis on the Changes of Research Hotspots in the Prevention and Treatment of COVID-19 by Traditional Chinese Medicine Based on Knowledge Graph

Objective: To grasp the changing trend of research hotspots of traditional Chinese medicine in the prevention and treatment of COVID-19, and to better play the role of traditional Chinese medicine in the prevention and treatment of COVID-19 and other diseases. Methods: The research literature from 2020 to 2022 was searched in the CNKI database, and CiteSpace software was used for visual analysis. Results: The papers on the prevention and treatment of COVID-19 by traditional Chinese medicine changed from cases, overviews, reports, and efficacy studies to more in-depth mechanism research, theoretical exploration, and social impact analysis, and finally formed a theory-clinical-society Influence-institutional change and other multi-dimensional achievement systems. Conclusion: Analyzing the changing trends of TCM hotspots in the prevention and treatment of COVID-19 can fully understand the important value of TCM, take the coordination of TCM and Western medicine as an important means to deal with public health security incidents, and promote the exploration of the potential efficacy of TCM, so as to enhance the role of TCM in Applications in social stability, emergency security, clinical practice, etc.

Stressors in Nurse Students’ Formation in the New Normality Post COVID-19

Background: Mental health has been impaired and at risk due to the worldwide COVID-19 pandemic. The consequences due to confinement impacted every scenario, which directly influenced the daily routine of nurse students;in each setting students faced stressors that trigger fear, anxiety and others, since being in confinement learning of topics moved to the home, laboratory practices in hospitals were cancelled leaving the room that is uncertain up to their return to in-person activities. It is important to highlight the need for innovation and strengthening of theoretical-pedagogic aspects centered at the student’s context as a human being with their own needs and problems, who will interact with others in the continuous process of health-illness. Objective: the aim was to identify the stressors in the nurse students’ formation in the new normality post-COVID-19. Methods: Qualitative and phenomenological research with 27 participants aged 20 - 25 years, nurse students of a public university. The information collection was through four focal groups of 6-7 members each, data analysis was done according to Miles & Huberman after signed informed consent of each participant, and authorized by the chairperson of the Nurse’ career. Results: Category 1, Cumulative stressors with sub-categories 1.1 Uncertainty, 1.2 Isolation, 1.3 Invisibility, 1.4 Mockery, 1.5 Exclusion. Category 2, Expectancy states with sub-categories 2.1 Low self-esteem, 2.2 Insecurity, 2.3 Anxiety, 2.4 Depression, 2.5 Temporary leave, 2.6 Search for authenticity. Category 3, Internalization processes with sub-categories 3.1 Social rejection, 3.2 Self-censorship, 3.3 Discrediting, 3.4 Disempowerment. Category 4, Academic aspects affected with sub-categories 4.1 Deficient studying habits, 4.2 Deficient assimilations of knowledge, 4.3 Archived knowledge in the computer, 4.4 Absence of practice in previous semesters. Conclusion: Once identified the stressors in nurse students in the new normality post-COVID-19, it will allow the creation of settings that help in getting confidence for students, i.e., a safe surrounding promotes the development of abilities and competencies during formation, as well as recommendations of teachers in the classroom and laboratories that contribute to filling space that students perceive as empty, and to intensifying the companionship in clinical settings where students perceive most aggressiveness.

Impact of COVID-19 Epidemic on the International Food Supply Chain and Countermeasures of Shandong Province

The COVID-19 epidemic has exerted an impact on the global food supply chain,and also has contributed to the tendency of food hoarding and short supply;strong food demand has led to a rapid rise in international food prices,which has put enormous pressure on China's food import,and domestic food price showed a rise trend accordingly.In order to ensure sufficient and stable supply of China's food market,it is necessary to adhere to the food security strategy of"food self-sufficiency"for a long term.In the spring agricultural production,Shandong Province has taken effective measures to stabilize food production and achieved good results.It has not been greatly affected by the COVID-19 epidemic;however,under the continuous spread of foreign epidemics,we must adhere to the dual hard core operation of epidemic prevention and production,and explore the establishment of technical specifications for agricultural production under normal conditions for epidemic prevention and control to ensure the food security.

Mathematical Modelling of the COVID-19 Epidemic in Northern Ireland in 2020

In this study, we investigate the dynamics of the COVID-19 epidemic in Northern Ireland from 1st March 2020 up to 25th December 2020, using several copies of a Susceptible-Exposed-Infectious-Recovered (SEIR) compartmental model, and compare it to a detailed publicly available dataset. We split the data into 10 time intervals and fit the models on the consecutive intervals to the cumulative number of confirmed positive cases on each interval. Using the fitted parameter estimates, we also provide estimates of the reproduction number. We also discuss the limitations and possible extensions of the employed model.

Analysis of the Role of General Practitioners Services in Rural Areas during the COVID-19 Epidemic

Since the outbreak of the COVID-19,various regions of China have been rapidly deployed under the leadership of the Central Committee of the Party to actively prevent and control the COVID-19.The rural areas of my country have weak links to the prevention and management of public health emergencies.Problems include lack of medical and health resources and farmers’low awareness of epidemic prevention.Situations that correspond to the prevention and management of the COVID-19 are more serious.As the patient’s first contact and“gatekeeper”in the fight against the epidemic,the general practitioner is responsible for the“first visit-subsequent ongoing intervention”.This article is about the prevention and control of the COVID-19 epidemics and epidemic prevention in terms of dissemination of knowledge,informed crowd control,joint prevention and control,and standardized management of people.This is a summary of the efforts of general practitioners.Quarantine at home,interactive referrals to medical consortiums,special care for contracted families.The function during the management period aims to analyze the role played by general practitioners during the epidemic and to provide new ideas for the prevention and management of the epidemic.Provide more targeted general practitioner-style services in rural areas to promote the implementation and improvement of health and poverty alleviation.The health level of the rural population provides a theoretical standard.

Effects of policies and containment measures on control of COVID- 19 epidemic in Chongqing

BACKGROUND Coronavirus disease 2019(COVID-19)is an emerging,rapidly evolving disease that spreads through the respiratory system and is highly contagious.In March 2020,the World Health Organization declared the COVID-19 outbreak a pandemic.In China,the pandemic was controlled after 2 mo through effective policies and containment measures.Describing the detailed policies and containment measures used to control the epidemic in Chongqing will provide a reference for the prevention and control of COVID-19 in other areas of the world.AIM To explore the effects of different policies and containment measures on the control of the COVID-19 epidemic in Chongqing.METHODS Epidemiological data on COVID-19 in Chongqing were prospectively collected from January 21 to March 15,2020.The policies and prevention measures implemented by the government during the epidemic period were also collected.Trend analysis was performed to explore the impact of the main policy measures on the effectiveness of the control of COVID-19 in Chongqing.As of March 15,the cumulative incidence of COVID-19 in Chongqing was 1.84/100000(576 cases)and the infection fatality rate was 1.04%(6/576).The spread of COVID-19 was controlled by effective policies that involved establishing a group for directing the COVID-19 epidemic control effort;strengthening guidance and supervision;ensuring the supply of daily necessities and medical supplies and equipment to residents;setting up designated hospitals;implementing legal measures;and enhancing health education.Medical techniques were implemented to improve the recovery rate and control the epidemic.Policies such as“the lockdown of Wuhan”,“initiating a first-level response to major public health emergencies”,and“implementing the closed management of residential communities”significantly curbed the spread of COVID-19.Optimizing the diagnosis process,shortening the diagnosis time,and constructing teams of clinical experts facilitated the provision of“one team of medical experts for each patient”treatment for severe patients,which significantly improved the recovery rate and reduced the infection fatality rate.CONCLUSION The prevention policies and containment measures implemented by the government and medical institutions are highly effective in controlling the spread of the epidemic and increasing the recovery rate of COVID-19 patients.

Understanding the Treatment of COVID-19 and other Epidemics in Traditional Chinese Medicine

Epidemics spread quickly and are highly contagious.And there has been a profound understanding of etiology,pathogenesis,prevention,and treatment of these diseases in traditional Chinese medicine(TCM).Coronavirus disease 2019(COVID‑19)falls into the category of“epidemic dampness”,and the core pathogenesis is that latency of externally‑contracted dampness turbidity and epidemic toxin in pleurodiaphragmatic interspace provokes Shaoyang ministerial fire and causes concomitant attack of external and internal pathogens,resulting in wood fire tormenting metal and the upward rushing of dampness fire(toxin),ultimately leading to a syndrome of epidemic toxin blocking the lung.Throughout the treatment of COVID‑19,Professor Shiyun Yan uses the“harmonizing”method and sticks to the basic principles of“protecting middle qi,pectoral qi and yin fluid”to consolidate the root,dispersing externally and clearing internally and using in combination drugs cold and warm in property.The specific treatment approaches include ventilating lung and expelling pathogens,clearing heat and removing the toxin,tonifying qi and nourishing yin,activating blood and resolving stasis,resolving dampness,and dredging collaterals,to prevent the patient’s condition from getting worse and save the dying.

Understanding the Treatment of COVID-19 and other Epidemics in Traditional Chinese Medicine

Epidemics spread quickly and are highly contagious.And there has been a profound understanding of etiology,pathogenesis,prevention,and treatment of these diseases in traditional Chinese medicine(TCM).Coronavirus disease 2019(COVID-19)falls into the category of“epidemic dampness”,and the core pathogenesis is that latency of externally-contracted dampness turbidity and epidemic toxin in pleurodiaphragmatic interspace provokes Shaoyang ministerial fire and causes concomitant attack of external and internal pathogens,resulting in wood fire tormenting metal and the upward rushing of dampness fire(toxin),ultimately leading to a syndrome of epidemic toxin blocking the lung.Throughout the treatment of COVID-19,Professor Shiyun Yan uses the“harmonizing”method and sticks to the basic principles of“protecting middle qi,pectoral qi and yin fluid”to consolidate the root,dispersing externally and clearing internally and using in combination drugs cold and warm in property.The specific treatment approaches include ventilating lung and expelling pathogens,clearing heat and removing the toxin,tonifying qi and nourishing yin,activating blood and resolving stasis,resolving dampness,and dredging collaterals,to prevent the patient’s condition from getting worse and save the dying.

Partial Unlock for COVID-19-Like Epidemics Can Save 1 - 3 Million Lives Worldwide

Background: A large percentage of deaths in an epidemic or pandemic can be due to overshoot of population (herd) immunity, either from the initial peak or from planned or unplanned exit from lockdown or social distancing conditions. Objectives: We study partial unlock or reopening interaction with seasonal effects in a managed epidemic to quantify overshoot effects on small and large unlock steps and discover robust strategies for reducing overshoot. Methods: We simulate partial unlock of social distancing for epidemics over a range of replication factor, immunity duration and seasonality factor for strategies targeting immunity thresholds using overshoot optimization. Results: Seasonality change must be taken into account as one of the steps in an easing sequence, and a two-step unlock, including seasonal effects, minimizes overshoot and deaths. It may cause undershoot, which causes rebounds and assists survival of the pathogen. Conclusions: Partial easing levels, even low levels for economic relief while waiting on a vaccine, have population immunity thresholds based on the reduced replication rates and may experience overshoot as well. We further find a two-step strategy remains highly sensitive to variations in case ratio, replication factor, seasonality and timing. We demonstrate a three or more step strategy is more robust, and conclude that the best possible approach minimizes deaths under a range of likely actual conditions which include public response.

The Application of the “3 + 1” Mode in the COVID-19 Epidemic Prevention and Control at the Infection Ward of a Designated Comprehensive Hospital for COVID-19 Treatment

Objective: We assess the application effect of the “3 + 1” mode in the COVID-19 epidemic prevention and control at the infection ward of a designated comprehensive hospital for COVID-19 treatment. Method: Based on the features of the inpatients of the infection ward and their relatives, a “3 + 1” mode for the COVID-19 prevention and control is developed to conform to the demands for epidemic prevention and control and the overall prevention and control scheme of the whole hospital. Here, “3” stands for the epidemic prevention and control system, personnel management, and prevention and control measures;“1” stands for COVID-19 testing. Result: From March 1, 2020 to March 31, 2021, a total of 3056 patients were hospitalized in the three infection wards. Among them, 265 patients had a fever, and 113 patients had respiratory symptoms. None of them were infected with COVID-19. The participation rate of the test about the knowledge related to COVID-19 and the knowledge mastery rate were both 100% among the medical staff. None of the inpatients and their companions or the medical staff was diagnosed with COVID-19. Conclusion: Thus the “3 + 1” mode proves successful for avoiding nosocomial infection and the spread of the epidemic.

Epidemic Diseases and Chinese Medicine:Example of Severe Acute Respiratory Syndrome and COVID-19

Epidemic diseases,known and studied in China since antiquity,are one of the main chapters of the School of Exogenous Febrile Diseases(温病学派)•Along with the legends about epidemic demons,China has developed over the centuries a medical approach based on the teachings of Huang Di Nei Jing(《黄帝内经》Internal Classic),Nan Jing(《难经》Classic of Difficulties'),and Shang Han Lun(《伤寒论》Treatise of Harmful Cold).However,it was in the 17th century,after the great break of the Song,Jin,and Yuan eras that an innovative spirit Wu Youxing(吴有性)first foresaw the existence of microorganisms as we know them now.His Wen Yi Lun(《瘟疫论》Treatise on Pestilences)foreshadows an original approach to epidemic diseases,particularly emerging infectious diseases of the 21st century:severe acute respiratory syndrome 2003-2004 and the COVID-19 pandemic are perfect examples.In this first article,which will be followed by two others,we will examine the classical and modern Chinese definitions of these dreadful plagues.

Psychological Study of a Patient with COVID-19 at the Early Stage of the Epidemic

Coronavirus disease-2019 (COVID-19) caused by novel coronavirus 2019 (2019-nCoV) has led to 199,466,211 confirmed cases, including 4,244,541 deaths by 6:44 pm CEST. This epidemic is now on the period of global outbreak, the control of COVID-19 has severely challenged the world. At the beginning of the outbreak, patients infected or suspected were observed and close contacts were isolated. The country delayed the resumption of work and school and all walks of life are seriously affected. All kinds of true and false information and rumours on the internet exist, aggravating people’s anxiety and restlessness. These factors altogether often induce people to feel various negative emotions and psychological problems. In this paper, a patient with COVID-19 was examined through psychological dynamic observation at the beginning of the epidemic. It was found that in the early stage of the epidemic, due to the lack of clear treatment guidelines, the main treatment methods and psychological problems were the main reasons affecting the recovery of patients. Many uncertain factors, including individual and social factors and quarantine, worry about the prognosis, etc, resulting in anxiety, fear, unacceptance, insomnia, irritability and other pessimistic moods. After 16 days of symptomatic treatment, psychological counselling and adjustments in a timely manner, the patient eventually recovered and was discharged. The discussion of this case could serve as a reference for the treatment and rehabilitation of patients with COVID-19 in other countries and regions.

Epidemic Diseases and Chinese Medicine: Example of SARS and COVID-19: Part Two

Along with the legends about epidemic demons,China has developed over the centuries a medical approach to epidemic diseases based on the teachings of Hucng Di Nei Jing(《黄帝内经》Huangdi s Intermnal Classic),Nan Jing(《难经》Classic of Difficult Issues),and Shang Han Lun(《伤寒论》Treatise on Cold Damage).Other doctors and scientists participated in this evolution of knowledge,like Wang Shuhe(王叔和),Ge Hong(葛洪),Chao Yuanfang(巢元方),Sun Simiao(孙思邈),and Liu Wansu(刘完素).However,it was in the 17^th century,after the great break of the Song,Jin,and Yuan eras that an innovative spirit,Wu Youke(吴又可1582-1652)first foresaw the existence of microorganisms as we know them now.His Wen Yi Lun(《瘟疫论》Treatise on Pestilence)foreshadows an original approach to epidemic diseases,particularly emerging infectious diseases of the 21^st century.After them,traditional Chinese medicine developed a comprehensive method of diagnosing and treating of these diseases(Epidemic Diseases Theory瘟疫学说)within the School ofHeat Diseases(温病学派).In a third article,we will examine some applications in the treatment of the SARS 2003-2004 epidemic(非典型肺炎)and the current COVID-19(新型冠状病毒肺炎)pandemic.

Investigation and Research on the Psychological Status of Children and Adolescents During the Epidemic Period of COVID-19

Objective:The paper was to analyze the investigation and study of the psychological status of children and adolescents during the epidemic period of COVID-19.Methods:From March 5th to 11th,2020,1766 students from 8 to 18 years old in Yan'an area were taken as the research objects,and the psychological characteristics of this group of people during the epidemic period of COVID-19 were analyzed by the online questionnaires.Results:In the questionnaire,all children and adolescents were in good psychological conditions,and they had not shown serious negative psychological emotions,and they attached great importance to COVID-19.Conclusion:The psychological changes of children and adolescents during the epidemic period of COVID-19 are diverse.Most children and adolescents have a good mental state,and a few have negative psychological emotions.It can strengthen the psychological management of children and adolescents during the epidemic,and promote the healthy growth of children and adolescents clinically.

COVID-19疫情常态化防控下门诊患者防护依从性及其影响因素分析

目的 探讨新型冠状病毒肺炎疫情常态化防控时期普通门诊患者的防护行为及其影响因素,为做好应对突发公共卫生事件及患者行为依从性管理提供参考。方法 对2022年9月1日~2022年10月1日在焦作市第二人民医院普通门诊就诊的患者采用自制调查问卷进行调查,共发放1 800份,收回有效问卷1 632份(90.66%);内容包括社会人口学特征、防护行为信息、防护依从性等,对防护依从性的相关因素进行单因素分析及多因素Logistic回归分析。结果 本组90.8%的患者愿意实施规范防护,其中防护依从率占90.81%。单因素分析显示,不同文化程度、医保类别、月收入、职业、居住地的患者防护行为依从性比较差异有统计学意义(P<0.05)。多因素Logistic回归分析结果显示,高学历、有城镇职工保险、高收入、接种过新冠疫苗的患者防护行为依从性较高;疫情的严重性认知、规范防护的益处认知、自我效能、防护共识对防护依从性有着显著影响,其得分越高,规范防护依从性越好。结论 疫情常态化防控时期,普通门诊患者整体防护依从性较高。文化程度、医保类别、收入、是否接种过新冠疫苗、疫情严重性认知、规范防护的益处认知、自我效能、防护共识是规范防护依从性的影响因素。

Dynamical Analysis of the Stochastic COVID-19 Model Using Piecewise Differential Equation Technique

Various data sets showing the prevalence of numerous viral diseases have demonstrated that the transmission is not truly homogeneous.Two examples are the spread of Spanish flu and COVID-19.The aimof this research is to develop a comprehensive nonlinear stochastic model having six cohorts relying on ordinary differential equations via piecewise fractional differential operators.Firstly,the strength number of the deterministic case is carried out.Then,for the stochastic model,we show that there is a critical number RS0 that can predict virus persistence and infection eradication.Because of the peculiarity of this notion,an interesting way to ensure the existence and uniqueness of the global positive solution characterized by the stochastic COVID-19 model is established by creating a sequence of appropriate Lyapunov candidates.Adetailed ergodic stationary distribution for the stochastic COVID-19 model is provided.Our findings demonstrate a piecewise numerical technique to generate simulation studies for these frameworks.The collected outcomes leave no doubt that this conception is a revolutionary doorway that will assist mankind in good perspective nature.

Covid-19 Forecasting with Deep Learning-based Half-binomial Distribution Cat Swarm Optimization

About 170 nations have been affected by the COvid VIrus Disease-19(COVID-19)epidemic.On governing bodies across the globe,a lot of stress is created by COVID-19 as there is a continuous rise in patient count testing positive,and they feel challenging to tackle this situation.Most researchers concentrate on COVID-19 data analysis using the machine learning paradigm in these situations.In the previous works,Long Short-Term Memory(LSTM)was used to predict future COVID-19 cases.According to LSTM network data,the outbreak is expected tofinish by June 2020.However,there is a chance of an over-fitting problem in LSTM and true positive;it may not produce the required results.The COVID-19 dataset has lower accuracy and a higher error rate in the existing system.The proposed method has been introduced to overcome the above-mentioned issues.For COVID-19 prediction,a Linear Decreasing Inertia Weight-based Cat Swarm Optimization with Half Binomial Distribution based Convolutional Neural Network(LDIWCSO-HBDCNN)approach is presented.In this suggested research study,the COVID-19 predicting dataset is employed as an input,and the min-max normalization approach is employed to normalize it.Optimum features are selected using Linear Decreasing Inertia Weight-based Cat Swarm Optimization(LDIWCSO)algorithm,enhancing the accuracy of classification.The Cat Swarm Optimization(CSO)algorithm’s convergence is enhanced using inertia weight in the LDIWCSO algorithm.It is used to select the essential features using the bestfitness function values.For a specified time across India,death and confirmed cases are predicted using the Half Binomial Distribution based Convolutional Neural Network(HBDCNN)technique based on selected features.As demonstrated by empirical observations,the proposed system produces significant performance in terms of f-measure,recall,precision,and accuracy.