Using the near real-time effective reproduction number rt as an early-warning tool for seasonal bronchiolitis and influenza-like illness epidemics.

BACKGROUND: Yearly bronchiolitis and influenza-like illness epidemics in France often involve high morbidity and mortality, which severely impacts healthcare. Epidemics are declared by the French National Institute of Public Health based on syndromic surveillance of primary care and emergency departments (ED), using statistics-based alarms. Although the effective reproduction number (Rt) is used to monitor the dynamics of epidemics, it has never been used as an early warning tool for bronchiolitis or influenza-like illness epidemics in France.We assessed whether Rt is useful for detecting seasonal epidemics by comparing it to the tool currently used (MASS) by epidemiologists to declare epidemic phases. METHODS: We used anonymized ED syndromic data from the Île-de-France region in France from 2010 to 2022. We estimated Rt and compared the indication of accelerated transmission (Rt >1) to the MASS epidemic alarm time points. We computed the difference between those two time points, time to epidemic peak, and the daily cases documented at first indication and peak. RESULTS: Rt provided alarms for influenza-like illness and bronchiolitis epidemics that were, respectively, 6 days (IQR[4;8]) and 64 days (IQR[52;80]) - in median - earlier than the alarms provided by MASS. CONCLUSION: Rt detected earlier signals of bronchiolitis and influenza-like illness epidemics. Using this early-warning indicator in combination with others to declare an annual epidemic could provide opportunities to improve healthcare system readiness.

Drug Overdose Death Following Substance Use Disorder Treatment Termination in New York City: A Retrospective Longitudinal Cohort Study.

Drug overdose death rates are the highest recorded in New York City (NYC). Substance use disorder (SUD) treatment termination can confer increased risk of drug overdose death. Our objective was to determine the probability of, and factors associated with, drug overdose death following SUD treatment termination. Using a retrospective longitudinal cohort design, we identified those who had NYC-based SUD treatment terminated (01/2016-06/2019) using Chief Medical Examiner and SUD treatment data. Using survival analyses, we examined drug overdose deaths ≤ 14 and ≤ 90 days following SUD treatment termination, respectively. Of 51,171 patients with SUD treatment termination, 140 and 342 had a drug overdose death < 14 and ≤ 90 days, respectively. The crude drug overdose death rate was 26.7 per 1000 person-years at-risk in the ≤ 90-day period and was 71.6 per 1000 person-years at-risk in the ≤ 14-day period. In adjusted Cox proportional hazard model examining death ≤ 14 days, those unemployed (compared to employed) and those terminated from residential treatment (compared to medically supervised withdrawal, opioid treatment programs, and outpatient treatment) were more likely to have had a drug overdose death (all p-values < 0.01). In adjusted Cox proportional hazard model examining death ≤ 90 days, non-Hispanic White people (compared to non-Hispanic Black people), those not stably housed (compared to stably housed), those unemployed and those terminated from residential treatment were more likely to have had a drug overdose death (all p-values < 0.01). Strategies to improve retention including the reassessment of program treatment termination criteria along with strategies to promote ongoing OUD treatment, engagement in harm reduction, and distribution of naloxone are needed.

Veteran's Health Administration HIV Care Continuum: 2019 vs 2022.

Background: The diagnosis-based Human Immunodeficiency Virus (HIV) Care Continuum offers a well-established framework for measuring HIV care quality. It is used by the government agencies, community organizations, and health care institutions to "guide the nation's response to HIV" and assesses HIV care from the time of HIV diagnosis through viral suppression. Our objective is to present the Veteran Health Administration's (VHA) HIV Care Continuum, assess postpandemic versus prepandemic performance, and compare VHA performance to Centers for Disease Control and Prevention-published data. Methods: We conducted a nationwide retrospective cohort analysis examining the care continuum for people with HIV (PWH) in VHA care in 2019 versus 2022. Measurements included linkage to care, receipt of care, retention in care, and viral suppression. We used multivariable logistic regression of virological suppression to identify factors associated with viral suppression. Results: In VHA in 2019, 83% of individuals newly diagnosed with HIV were linked to care, 84% of PWH received care, 76% were retained in care, and viral suppression was 76% among those with HIV and 93% of those with viral load (VL) results. In 2022, 74% were linked to care, 79% received care, 67% were retained in care, and viral suppression was 70% among those with HIV and 94% of those with a VL result. Conclusions: VHA has achieved >90% viral suppression among those with a VL result. Among all PWH, viral suppression decreased an absolute 5.2% between 2019 and 2022. VHA's performance on the HIV Care Continuum exceeds the national HIV Care Continuum reported by the Centers for Disease Control and Prevention.

Opioid prescription following radical orchiectomy associated with new persistent opioid use.

INTRODUCTION: Opioid dependence represents a public health crisis and can be observed after outpatient urologic procedures. The purpose of this study was to evaluate the risk of persistent opioid usage after radical orchiectomy for testicular cancer. MATERIALS AND METHODS: The TriNetX Research network database was queried for men between 15 and 45 years undergoing radical orchiectomy for a diagnosis of testicular cancer. All patients with N+ or M+ disease, prior opioid use, and patients who underwent chemotherapy, radiotherapy, or retroperitoneal lymph node dissection were excluded. Patients were stratified whether they were prescribed opioids or not at time of orchiectomy. The incidence of new, persistent opioid use, defined as a prescription for opioids between 3 and 15 months after orchiectomy, was evaluated. RESULTS: A total of 2,911 men underwent radical orchiectomy for testicular cancer, of which 89.8% were prescribed opioids at time of orchiectomy. After propensity score matching for age, race, and history of psychiatric diagnosis, 592 patients were included (296 received opioids, 296 did not). Overall, 0% of patients who did not receive postoperative opioids developed new persistent opioid use, whereas 10.5% of patients who received postoperative opioids developed new persistent opioid use. Patients prescribed postoperative opioids for orchiectomy had statistically higher risk difference of developing new persistent opioid use (Risk Difference: 10.5%; 95% CI: 7.0-14.0; Z: 5.7; P < 0.01). CONCLUSIONS: Postoperative opioid prescription following radical orchiectomy is significantly associated with developing new persistent opioid use, with 1 in 10 young men who received postoperative opioids obtaining a new prescription for opioids well beyond the postoperative period. Future efforts should emphasize nonopioid pathways for pain control following this generally minor procedure.

Stochastic EM algorithm for partially observed stochastic epidemics with individual heterogeneity.

We develop a stochastic epidemic model progressing over dynamic networks, where infection rates are heterogeneous and may vary with individual-level covariates. The joint dynamics are modeled as a continuous-time Markov chain such that disease transmission is constrained by the contact network structure, and network evolution is in turn influenced by individual disease statuses. To accommodate partial epidemic observations commonly seen in real-world data, we propose a stochastic EM algorithm for inference, introducing key innovations that include efficient conditional samplers for imputing missing infection and recovery times which respect the dynamic contact network. Experiments on both synthetic and real datasets demonstrate that our inference method can accurately and efficiently recover model parameters and provide valuable insight at the presence of unobserved disease episodes in epidemic data.

Federal opioid agonist therapy policy: interrupted time series analysis of the impact of the methadone exemption removal across eight provinces in Canada.

BACKGROUND: Federal deregulation of opioid agonist therapies are an attractive policy option to improve access to opioid use disorder care and achieve widespread beneficial impacts on growing opioid-related harms. There have been few evaluations of such policy interventions and understanding effects can help policy planning across jurisdictions. METHODS: Using health administrative data from eight of ten Canadian provinces, this study evaluated the impacts of Health Canada's decision in May 2018 to rescind the requirement for Canadian health professionals to obtain an exemption from the Canadian Drugs and Substance Act to prescribe methadone for opioid use disorder. Over the study period of June 2017 to May 2019, we used descriptive statistics to capture overall trends in the number of agonist therapy prescribers across provinces and we used interrupted time series analysis to determine the effect of this decision on the trajectories of the agonist therapy prescribing workforces. RESULTS: There were important baseline differences in the numbers of agonist therapy prescribers. The province with the highest concentration of prescribers had 7.5 more prescribers per 100,000 residents compared to the province with the lowest. All provinces showed encouraging growth in the number of prescribers through the study period, though the fastest growing province grew 4.5 times more than the slowest. Interrupted time series analyses demonstrated a range of effects of the federal policy intervention on the provinces, from clearly positive changes to possibly negative effects. CONCLUSIONS: Federal drug regulation policy change interacted in complex ways with provincial health professional regulation and healthcare delivery, kaleidoscoping the effects of federal policy intervention. For Canada and other health systems such as the US, federal policy must account for significant subnational variation in OUD epidemiology and drug regulation to maximize intended beneficial effects and mitigate the risks of negative effects.

The present situation of the nursing practice environment and its influence on nursing quality in a post-epidemic era: a cross-sectional study.

BACKGROUND: Nursing Practice Environment is an important index to improve nursing quality and patient outcome. To explore the nursing practice environment in the COVID-19 ward during the period of COVID-19 and its impact on nursing quality to provide reference for setting up supporting nursing team in epidemic area in the future. METHODS: A cross-sectional survey was conducted among 251 nurses working in COVID-19 ward in Shanghai, Hainan and Hunan in December 2022 through stratified proportional sampling. Structured questionnaires, including general information questionnaire, professional practice environment scale and nursing quality questionnaire, were used to investigate the patients. Pearson correlation was used to analyze the correlation between nursing practice environment and nursing quality, and multiple linear regression analysis was used to analyze the influencing factors of nursing quality in the COVID-19 ward. RESULTS: The professional practice environment scale score was (3.34 ± 0.40), the nursing quality questionnaire score was (9.47 ± 0.81), both at a high level. Single factor analysis showed that nursing quality was related to educational background, physical condition, professional title, grade of the original hospital and composition of nursing staff in supported departments. Nursing quality were positively correlated with each nursing practice environment dimensions (in addition to teamwork). The results of regression analysis showed that the nursing practice environment in the COVID-19 ward had a positive impact on nursing quality. CONCLUSIONS: The nursing practice environment and nursing quality of nurses in the COVID-19ward is generally very high. The education, working hospital level and nursing practice environment of nurses are the important factors influencing nursing quality. The relationship between nursing practice environment (include leadership and autonomy in clinical practice, staff relationships with physicians, control over practice, communication about patients, handling disagreement and conflict, internal work motivation and cultural sensitivity) and nursing quality is positive. It is suggested that the hospital should pay special attention to and improve nursing practice environment in order to improve nursing quality when setting up temporary ward in the future epidemic period of infectious diseases, ensure patient safety. IMPACT ON CLINICAL PRACTICE: Research shows that an active nursing practice environment can improve the quality of care, and nursing managers create and maintain an active practice environment to improve the quality of care and ensure patient safety.

Elevation of IL-8 secretion induced by PEDV infection via NF-κB signaling pathway.

Porcine epidemic diarrhea virus (PEDV) is associated with severe enteritis, which contributes to high mortality in piglets. The aim of this study was to describe molecular mechanisms associated with proinflammatory cytokine(s) production during PEDV infection. We showed that infection of porcine intestine epithelial cell clone J2 (IPEC-J2) with PEDV induces a gradual increase in interleukin 8 (IL-8) production at different time points, as well as infection of Vero E6 with PEDV. The secretion of IL-8 in these two cell lines infected with PEDV is related to the activation of NF-κB. Furthermore, the cells expressing PEDV M or E protein can induce the upregulation of IL-8. These findings suggest that the IL-8 production can be the initiator of inflammatory response by the host cells upon PEDV infection.

Medicaid expansion and opioid prescriptions: Evidence from the Medical Expenditure Panel Survey.

Evidence is mixed on whether increased access to insurance, specifically through the ACA's Medicaid expansion, exacerbated the opioid public health crisis through increased opioid prescribing. Using survey data on retail prescription drug fills from 2008 to 2019, we did not find a significant relationship between Medicaid expansion and opioid prescribing in the newly eligible Medicaid population. It may be that the dangers of opioids were known well enough by the time of the Medicaid expansion that lack of access to care was no longer a binding constraint on opioid prescription receipt.

Job burnout and its influencing factors among primary healthcare workers during the COVID-19 epidemic in Guangzhou, China, 2021-2022: from the perspective of institutional operation and management.

BACKGROUND: The purpose of this study was to explore the job burnout of primary healthcare workers in Guangzhou during the prevention and control of COVID-19 epidemic and its influencing factors from the perspective of institutional operation and management in 2021-2022. METHODS: A cross-sectional study involved 866 primary healthcare workers from different districts of Guangzhou, China. The Chinese version of the Maslach Burnout Inventory-General Survey (MBI-GS) was utilized to assess job burnout. From the perspective of organizational operation and management, the possible causes of job burnout among primary healthcare workers during COVID-19 have been categorized into 7 major aspects. Univariate and multivariate logistic regression analyses were conducted to identify influencing factors for job burnout in primary healthcare workers. RESULTS: The detection rate of job burnout among primary healthcare workers was 78.29%. Men (OR = 2.39) and whose institution was located in urban-rural fringe (OR = 1.56) were more likely to detect job burnout. Conversely, institution heads showed a lower risk of job burnout. From the perspective of institutional operation and management, workers who were not satisfied with personnel management (OR = 2.41), materials and vehicles (OR = 2.89), subsidies and compensation (OR = 2.18), humanistic care (OR = 2.11), superior management (OR = 8.32) were found to have a higher risk of job burnout. CONCLUSION: The detection rate of job burnout among primary healthcare workers in Guangzhou was relatively high during the period of COVID-19. When there is another sudden major epidemic, the managers of institutions can focus on and deal with the problems related to the operation and management of institutions such as personnel management, materials and vehicles, subsidies and compensation, humanistic care, and superior management, so as to provide logistical support for the workers and alleviate their job burnout.

Investigation of Transmission and Evolution of PEDV Variants and Co-Infections in Northeast China from 2011 to 2022.

Porcine epidemic diarrhea virus (PEDV) is a rapidly evolving virus that causes outbreaks in pig herds worldwide. Mutations in the S protein of PEDV have led to the emergence of new viral variants, which can reduce vaccine immunity against prevalent strains. To understand the infection and variation pattern of PEDV in China, an extensive epidemiological survey was conducted in northeast China from 2015 to 2022. The genetic diversity of enteroviruses co-infected with PEDV and the PEDV S gene was analyzed, common mutation patterns that may have led to changes in PEDV virulence and infectivity in recent years were identified, and structural changes in the surface of the S protein resulting from mutations in the PEDV S gene from 2011 to 2022 were reviewed. Of note, two distinct mutations in the emerging 2022 HEB strain were identified. These findings provide a basis for a better understanding of PEDV co-infection and genetic evolution in northeast China.

Opioid use after surgical treatment in the Danish population-Protocol for a register-based cohort study.

BACKGROUND: Over the past 25 years, global opioid consumption has increased. Denmark ranks fifth in opioid use globally, exceeding other Scandinavian countries. Postsurgical pain is a common reason for opioid prescriptions, but opioid use patterns after patient discharge from the hospital are unclear. This study examines trends in opioid prescription among Danish surgical patients over a year. METHODS: This register-based cohort study will use data from Danish governmental databases related to patients undergoing the 10 most frequent surgical procedures in 2018, excluding cancer-related and minor procedures. The primary outcome will be the dispensed postoperative opioid prescriptions at retail pharmacies over four quarters. Secondary analyses will include associations with sex, age, education attainment, and oral morphine equivalent quotient. Surgical treatments and diagnoses will be identified using NOMESCO procedure codes and ICD-10 codes. Opioids will be identified by ATC codes N02A and R05DA04. Subjects will be classified as preoperative opioid consumers or non-opioid consumers based on opioid prescriptions redeemed in the 6 months before surgery. DISCUSSION: The study will use extensive national register-based data, ensuring consistent data collection and enhancing the generalizability of the findings to similar healthcare systems. The study may identify high-risk populations for long-term opioids and provide information to support opioid prescribing guidelines and public health policies.

Increased macrolide resistance rate of Mycoplasma pneumoniae correlated with epidemic in Beijing, China in 2023.

We collected respiratory specimens from 128 pediatric patients diagnosed with pneumonia in Beijing in late 2023. Mycoplasma pneumoniae was detected in 77.3% (99/128) patients, with 36.4% (4/11), 82.9% (34/41), 80.3% (61/76) in children aged less than 3 years, 3-6 years, over 7 years, respectively. Mycoplasma pneumoniae (M. pneumoniae) was characterized using P1 gene typing, MLVA typing and sequencing of domain V of the 23S rRNA gene. P1 gene type 1 (P1-1; 76.1%, 54/71) and MLVA type 4-5-7-2 (73.7%, 73/99) were predominant. MLVA identified a new genotype: 3-4-6-2. Macrolide resistance-associated mutations were detected in 100% of samples, with A2063G accounting for 99% and A2064G for 1%. The positive rate of M. pneumoniae was higher compared to previous reports, especially in children less than 3 years, suggesting a M. pneumoniae epidemic showing a younger age trend occurred in late 2023 in Beijing, China. Higher proportions of macrolide-resistant M. pneumoniae, P1-1 and 4-5-7-2 genotype M. pneumoniae indicated increased macrolide resistance rate and genotyping shift phenomenon, which might be attributable to this epidemic. Additionally, complete clinical information from 73 M. pneumoniae pneumonia inpatients were analyzed. The incidence of severe M. pneumoniae pneumonia was 56.2% (41/73). Mycoplasma pneumoniae pneumonia patients exhibited longer duration of fever, with a median value of 10.0 days (IQR, 8.0-13.0), and higher incidence of complications (74.0%, 54/73). However, in this cohort, we found that the severity of M. pneumoniae pneumonia, co-infection, or complications were not associated with M. pneumoniae P1 gene or MLVA types. Clinicians should be aware that patients infected with macrolide-resistant M. pneumoniae exhibited more severe clinical presentations.

AI-based epidemic and pandemic early warning systems: A systematic scoping review.

Background: Timely detection of disease outbreaks is critical in public health. Artificial Intelligence (AI) can identify patterns in data that signal the onset of epidemics and pandemics. This scoping review examines the effectiveness of AI in epidemic and pandemic early warning systems (EWS). Objective: To assess the capability of AI-based systems in predicting epidemics and pandemics and to identify challenges and strategies for improvement. Methods: A systematic scoping review was conducted. The review included studies from the last 5 years, focusing on AI and machine learning applications in EWS. After screening 1087 articles, 33 were selected for thematic analysis. Results: The review found that AI-based EWS have been effectively implemented in various contexts, using a range of algorithms. Key challenges identified include data quality, model explainability, bias, data volume, velocity, variety, availability, and granularity. Strategies for mitigating AI bias and improving system adaptability were also discussed. Conclusion: AI has shown promise in enhancing the speed and accuracy of epidemic detection. However, challenges related to data quality, bias, and model transparency need to be addressed to improve the reliability and generalizability of AI-based EWS. Continuous monitoring and improvement, as well as incorporating social and environmental data, are essential for future development.

Post-Diarrheal Acute Kidney Injury During an Epidemic in Monsoon - A Retrospective Study from a Tertiary Care Hospital.

Background: Acute kidney injury (AKI) is a severe complication of acute diarrheal diseases; however, there is limited data on post-diarrheal AKI (PD-AKI) epidemiology and outcomes. This study aimed to investigate the clinicodemographic profile and outcomes of PD-AKI in our hospital. Materials and Methods: We retrospectively analyzed data from 93 patients admitted with PD-AKI during a diarrheal illness epidemic. Patients were stratified based on the Kidney Disease: Improving Global Outcomes (KDIGO) AKI stage and quick Sequential Organ Failure Assessment (qSOFA) score. Clinicodemographic data and outcomes were recorded and analyzed. Results: The mean age of the patients was 45.7 ± 11.9 years, with a majority being men (n = 55, 59%). All patients presented with watery diarrhea, 85% (n = 79) had vomiting, and 66% (n = 61) presented in shock. At presentation, 59% were oliguric, while 32% were anuric. KDIGO stage 3 AKI was observed in 71% (n = 66) of patients. Dialytic support was required in 29% (n = 27) of cases. The mortality rate was 6.5% (n = 6), mostly due to refractory shock, while the remaining patients recovered. Risk factor analysis demonstrated a higher qSOFA score, and peak serum creatinine levels were associated with an increased likelihood of requiring renal replacement therapy and delayed renal recovery. Conclusion: This study provides valuable insights into the clinicodemographic characteristics and outcomes of PD-AKI. The high prevalence of severe AKI emphasizes the importance of early recognition and appropriate management strategies for these patients.

[The definition of pandemic: causes and consequences of its adjustment in 2009 and 2011].

The article considers results of the study evaluating historical and epidemiological events that preceded and accompanied adjustment of the pandemic description on the WHO website in 2009 and 2011. The analysis covered publications related to epidemics and pandemics issues, the WHO documents, the WHO website. The descriptions of pandemic mostly focused on "enormous numbers of cases and deaths". Since May 2009, new description of pandemic was published, focusing on disease prevalence. In 2011 it reverted to initial one with no comments. From perspective of the WHO document of 2009, declaration of swine flu pandemic in June 2009 seemed justified. However, considering previous pandemic history, common sense and consequences of declaring pandemic of disease with low both number of cases and mortality, it was premature move. Since primary factor hindering development of pandemic is effectiveness of infectious disease treatment, to minimize likelihood of new pandemic it is necessary to improve special medical education quality and to study and to adapt to modern conditions all effective medications and methods used in the past.

Beyond SIRD models: a novel dynamic model for epidemics, relating infected with entries to health care units and application for identification and restraining policy.

Epidemic models of susceptibles, exposed, infected, recovered and deceased (SΕIRD) presume homogeneity, constant rates and fixed, bilinear structure. They produce short-range, single-peak responses, hardly attained under restrictive measures. Tuned via uncertain I,R,D data, they cannot faithfully represent long-range evolution. A robust epidemic model is presented that relates infected with the entry rate to health care units (HCUs) via population averages. Model uncertainty is circumvented by not presuming any specific model structure, or constant rates. The model is tuned via data of low uncertainty, by direct monitoring: (a) of entries to HCUs (accurately known, in contrast to delayed and non-reliable I,R,D data) and (b) of scaled model parameters, representing population averages. The model encompasses random propagation of infections, delayed, randomly distributed entries to HCUs and varying exodus of non-hospitalized, as disease severity subdues. It closely follows multi-pattern growth of epidemics with possible recurrency, viral strains and mutations, varying environmental conditions, immunity levels, control measures and efficacy thereof, including vaccination. The results enable real-time identification of infected and infection rate. They allow design of resilient, cost-effective policy in real time, targeting directly the key variable to be controlled (entries to HCUs) below current HCU capacity. As demonstrated in ex post case studies, the policy can lead to lower overall cost of epidemics, by balancing the trade-off between the social cost of infected and the economic contraction associated with social distancing and mobility restriction measures.

Phenotypic and genomic analysis of the hypervirulent methicillin-resistant Staphylococcus aureus ST630 clone in China.

Methicillin-resistant Staphylococcus aureus (MRSA) sequence type 630 (ST630) is a rarely reported lineage worldwide. This study aimed to trace the dissemination of the emerging MRSA ST630 clones in China and investigate their virulence potential. We collected 22 ST630-MRSA isolates from across China and performed whole-genome sequencing analysis and virulence characterization on these isolates. Epidemiological results showed that MRSA ST630 isolates were primarily isolated from pus/wound secretions, mainly originating from Jiangxi province, and carried diverse virulence and drug resistance genes. Staphylococcal cassette chromosome mec type V (SCCmec V) predominated (11/22, 50.0%) among the MRSA ST630 isolates. Interestingly, nearly half (45.5%) of the 22 ST630-MRSA isolates tested lacked intact SCCmec elements. Phylogenetic analysis demonstrated that ST630-MRSA could be divided into two distinct clades, with widespread dissemination mainly in Chinese regions. Five representative isolates were selected for phenotypic assays, including hemolysin activity, real-time fluorescence quantitative PCR, western blot analysis, hydrogen peroxide killing assay, blood killing assay, cell adhesion and invasion assay, and mouse skin abscess model. The results showed that, compared to the USA300-LAC strain, ST630 isolates exhibited particularly strong invasiveness and virulence in the aforementioned phenotypic assays. This study described the emergence of a highly virulent ST630-MRSA lineage and improved our insight into the molecular epidemiology of ST630 clones in China.IMPORTANCEMethicillin-resistant Staphylococcus aureus (MRSA) sequence type 630 (ST630) is an emerging clone with an increasing isolation rate in China. This study raises awareness of the hypervirulent MRSA ST630 clones in China and alerts people to their widespread dissemination. ST630-staphylococcal cassette chromosome mec V is a noteworthy clone in China, and we present the first comprehensive genetic and phenotypic analysis of this lineage. Our findings provide valuable insights for the prevention and control of infections caused by this emerging MRSA clone.

[The modeling of measures of prevention and shaping proper behavior in population as tool of averting redundant risks of morbidity and mortality as exemplified by COVID-19 pandemic].

The article considers issues of how population behavior impacts realization of state anti-epidemic measures and efforts to control pandemic. Materials and Methods. The methodology of the study is based on such methods as text analysis, elastic network and construction of regression equations. The analysis of indicators characterizing state policy measures controlling pandemic was applied according to data from The Oxford COVID-19 Government Response Tracker portal. The behavioral reactions of population were assessed by text analysis of messages in Twitter and VKontakte social networks using the Rulexicon, tonalities dictionary of Russian language. The analysis of mobility was implemented on basis of data from Google Community Mobility Reports (GCMR). The study base includes data of March 12, 2020 - August 1, 2021. It is established that in controlling pandemic the most effective is to apply combination of measures implemented at state level of the Ministry of Health and the Ministry of Economic Development of the Russian Federation that permits to compensate negative effect of quarantine regimen. In the Russian Federation,effect of self-isolation measures, organization of remote work of employees of enterprises, closure of schools, wearing masks is controversial and their incorrect application can contribute to virus propagation. The vaccination measures are also effective in reducing morbidity of disease, but they are characterized by lagging effect. The approval and acceptance by population anti-epidemic measures significantly impact efficiency of pandemic control. The study results can be applied in practice of implementation of anti-epidemic measures as a tool preventing excessive risks of population morbidity and mortality.