Search

Background/Aim: Antibiotic use and resistance represent a growing public health issue, with a specific risk of uncontrolled use of antibiotics in children. The aim of the study was to examine differences in parental knowledge, attitudes and practices about antibiotic use in children between urban and rural areas of the Republic of Srpska. Methods: A cross-sectional study was conducted among 1459 parents of children under 6 years of age, out of which 1201 (82.3 %) lived in urban areas while 258 (17.7 %) lived in rural areas. The research is conducted among parents who brought their children to the selected primary healthcare centres and among parents of children in preschool institutions. Results: The majority of respondents (98.4 %) state that doctors are their main source of information. Only 61.2 % of respondents precisely know which drug is an antibiotic when offered different drugs and respondents from rural areas (54.3 %) more often (p = 0.012) gave more accurate answers when compared to respondents from urban areas (37.3 %). Among parents, 86 % agree with the statement that improper use of antibiotics reduces their effectiveness and leads to bacterial resistance, regardless of groups. More than a half of respondents (52.4 %) do not think that children with flu or common cold symptoms recover faster when they receive antibiotics, significantly more respondents from urban areas (p = 0.001). Respondents from rural areas significantly more often believe that antibiotics can produce harmful effects compared to respondents from urban areas (p = 0.049). Respondents from rural areas significantly more often think that antibiotic use can prevent complications caused by inflammation of the upper respiratory tract (p = 0.006). Parents from rural areas give their children antibiotics without a paediatrician's recommendation significantly more often (4.3 %) compared to respondents from urban areas (0.6 %) (p < 0.001). Conclusion: There are differences in parental knowledge, attitudes and practices regarding antibiotic use and antimicrobial resistance among parents in rural and urban areas. There is need for additional education of parents and for greater engagement of paediatricians in providing guidance and explanations regarding the use of antibiotics.

Background/Aim: The World Health Organization (WHO) declared the spread of a novel disease COVID-19 as a pandemic on 11 March 2020. As of 12 June, there have been more than 7.4 million COVID-19 cases and more than 418,000 COVID-19 deaths globally. This paper represents epidemiological analysis of the first 100 days of COVID-19 epidemic in the Republic of Srpska. Methods: Data of all COVID-19 cases confirmed in the Republic of Srpska between 4 March and 12 June were collected from epidemiological and laboratory testing reports obtained from the Public Health Institute of the Republic of Srpska. This cross-sectional analysis was carried out on a sample of 1,607 laboratory-confirmed COVID-19 cases, which included: summary of patient characteristics, examination of age distributions and sex ratios, calculation of case fatality and mortality rates, incidence rates analysis, epidemiological curve construction and subgroup analysis. Results: Over 100 days after the first case was confirmed, the total number of infected patients in the Republic of Srpska rose to 1,607 (31,471 persons had been tested). As of 12 June, 69.9 % of those cases has recovered. During that period there were 117 confirmed deaths (average age 72 years; 60.7 % males; 86 % older than 60 years; 94 % with at least one comorbidity). The sex ratio among the confirmed cases was 0.95:1 (48.7 % men vs 51.3 % women). Infections were less common in persons below 20 years of age (7.3 % of all confirmed cases) and the majority of the affected persons were in the group 40-69 years of age. As much as 86 % of all death cases occurred in persons older than 60 years (average age 72 years) and 94 % of all death cases had at least one underlying condition (mostly cardiovascular diseases, 79.5 %). Conclusion: Evaluating the clinical data of COVID-19 patients, finding the source of infection and studying the behavior of the disease is crucial for understanding of the pandemic.

Introduction. Healthcare-associated infections (HAI) are a global public health problem that exists in all health care systems and lead to very significant consequences. All health care systems are obliged to continuously improve preventive measures, which can reduce occurrence of HAI by 10 to 70 percent. First step in improving prevention is constitution of functional epidemiological surveillance over HAI. Aim of the study. The objective of this study was to show, through the point prevalence survey, the rates of HAI in surgical clinics of the University Clinical Centre of the Republic of Srpska (UCC RS), their most important epidemiological characteristics, the most frequently isolated microorganisms and their resistance to antibiotics. Material and methods. In this study, we used standardized methodology for the point prevalence survey of HAI and antimicrobial use, including case definitions established by the European Centre for Disease Control (ECDC). The study was conducted in October 2014 at the surgical clinics of the UCC RS, and it included a total of 196 patients. Results. The prevalence of HAI at the surgical clinics of the UCC RS was 11.7%. The most common localization of HAI were surgical site infections (60.8%). The most common isolated microorganisms were Acinetobacter spp., Enterococcus spp., Pseudomonas aeruginosa i Staphylococcus aureus. All isolated Acinetobacter and 50% ofisolated Pseudomonas were resistant to carbapenems, 50% of Staphylococcus aureus to methicillin, 50% Enterococcus spp. to vancomycin, and 40% Enterobacteriaceaeto cephalosporins, 3rd generation. Conclusion. The prevalence of HAI at the surgical clinics of the UCC RS is within the frame of the prevalence in developing countries. More attention must be given to this problem. The prevalence study may be the method of choice for HAI surveillanceat national level.

Introduction. Antimicrobial resistance is a very serious public health threat worldwide. The main cause of antimicrobial resistance is irrational use of antimicrobial drugs. The goal of the article is to analyze data on outpatient antibiotic consumption in the Republic of Srpska during the period from 2009 to 2014, to present outpatient consumption of the first six antibiotics (the fifth level of the ATC classification), and, finally, to compare the antibiotic use in Republic of Srpska in relation to the antibiotic use in European Union countries. Materials and Methods. Collection and analysis of data on drug consumption is done using ATC/DDD methodology, established by the WHO. Data are taken from the report on drug consumption and distribution in the Republic of Srpska during the period from 2009 to 2014, which are based on submitted data from pharmacies registered in the Republic of Srpska. Results. Results on outpatient antibiotic consumption in the Republic of Srpska, during the period from 2009 to 2014, indicate a total decrease by 3.41 DDDs/1000 inhabitants/day, with the exception of 2010 and 2013, when the antibiotic consumption was increased. In 2014, total outpatient antibiotic consumption in the Republic of Srpska was 31.2% lower than the average consumption in the European Union. During the period from 2010 to 2014, the European Union had a significant increase in antibiotic consumption, while antibiotic consumption in the Republic of Srpska had a tendency of falling. Conclusion. Presented results show a quantitative analysis of antibiotic consumption and provide insight into the outpatient use of antibiotics in the Republic of Srpska, and can be used for further pharmacoepidemiological analysis of antibiotic consumption, which would give a better insight into the therapeutic practice, with the aim of improving the rational pharmacotherapy in the Republic of Srpska.

Introduction. Osteochondroma is the most common type of benign bone tumor which appears in two forms, sessile and pedunculated. It accounts for 50% of all benign tumors of bone tissue with a double tendency towards male population. It is covered by cartilage cap of different thickness. The thickness of the cap over 30 mm can indicate a malign transformation into the secondary chondrosarcoma. Aim of the study. Determine if there is a correlation between epidemic characteristics of the patients, pathohistologic characteristics, thickness of the cartilage cap and biological behavior of the tumor. Patients and methods. Cross-sectional study included 37 patients which were diagnosed with osteochondroma in the period of 12 months, during the year 2014, at the Institute for pathology of Medical Faculty in Belgrade. The patients’ age, sex, localization, clinical manifestation and length of the case history were descriptively determined. The thickness of the cartilage cap was morphometrically determined on pathohistologic devices of re-sectioned tumors. Out of 37 patients with diagnosed osteochondroma, 3 of them (8%) had malign alteration of the cartilage cap. The thickness of the cartilage cap in all the 3 of them was over 30 mm, ranging from 68-120 mm. Relapse was found in 3 patients (8%). Discussion. The highest importance of this lesion comes from the fact that it is the most common bone tumor with high incidence and possibility for malign transformation of the cartilage cap into secondary chondrosarcoma which makes this tumor interesting for medical staff at the clinic and pathologists. Conclusion. The width of a cartilage cap, in correlation with clinical and radiology parameters, is a significant predictive parameter of biological behavior of osteochondroma.

Introduction: Sex workers (SW) represent the population exposed to extremely high risk of HIV (HIV - Human Immunodeficiency Virus) and other sexually transmitted infections. Poor socioeconomic conditions in the country, insufficient education, high unemployment and other factors lead to an increase in prostitution, which represents a high risk for the spread of HIV and other sexually transmitted diseases. Aim of the study: The aim of this research was to evaluate the prevalence of HIV/ sexually transmitted infections among SW in Bosnia and Herzegovina as well as to examine knowledge, attitudes and behaviour relating to HIV/sexually transmitted infections. The results were compared with the results obtained in researches conducted in 2008 and 2010. Material and Methods: Research was performed in 2012 as a bio-behavioral study that covered 199 sex workers in five cities of Bosnia and Herzegovina. Interviewing was done voluntarily, anonymously and confidentially, and after informed consent and counselling, a biological material (blood) for laboratory testing on HIV, hepatitis b, hepatitis c and syphilis was taken. The research shows the presence of risk behaviour among SW, mostly related to frequent change of partners and frequent unprotected sexual intercourses. Results: Only one third of respondents (36,7%) use condom during every sexual intercourse with a client, and 13% use it with a steady partner. A sexual intercourse after effects of consumption of alcohol-87,9% of respondents and of drugs-36,7% of respondents. Although there is a risk behaviour, only 11,1% think that the risk of HIV/sexually transmitted infections is high, but 12,6% think that there is no risk. Sex workers are 13,5 times more exposed to HIV infection than all the other women aged 15- 49. Results of laboratory testing indicate a low level of HIV/sexually transmitted infections among sex workers in Bosnia and Herzegovina. Conclusion: Although there is a relative progress in prevention of HIV/sexually transmitted infections among sex workers and more frequent testing on HIV/sexually transmitted infections comparing to earlier periods, these things are insufficient for the maintenance of a low level of infection. Further research at certain time intervals among this population would enable monitoring time trends of HIV epidemic in Bosnia and Herzegovina and would become a basis for the development of preventable programmes.

It has been verified that serum N-acetyl-β-D-glucosaminidase (NAG) activity is elevated in diabetes, but there are no reports about changes of the sialic acid (SA) content in the carbohydrate parts of NAG A form and its influence on total NAG activity changes in type 1 diabetes mellitus patients without and with secondary complications. NAG A forms were isolated, purified and characterized from the serum of 81 IDDM patients with and without secondary complications (retinopathy, polyneuropathy and nephropathy) and 25 healthy persons. The content of α-2,6-bound SA and isoenzyme patterns of purified A form, total NAG and A form activities were determined. In all diabetic groups, A form sialylation levels were 2-3.5 times lower compared to control, while their acidities (fractions with pI 4.25-5.1) increased, particularly with progression of secondary complications. Total serum NAG activities and percentages of A form were significantly higher (P

Methylglyoxal is a highly reactive α-oxoaldehyde with elevated production in hyperglycemia. It reacts with nucleophilic Lys and Arg side-chains and N-terminal amino groups causing protein modification. In the present study, the importance of the reaction of the Cys thiol group with methylglyoxal in protein modification, the competitiveness of this reaction with those of amino and guanidine groups, the time course of these reactions and their role and contribution to protein cross-linking were investigated. Human and bovine serum albumins were used as model systems. It was found that despite the very low levels of thiol groups on the surface of the examined protein molecules (approx. 80 times lower than those of amino and guanidino groups), a very high percentage of it reacts (25-85 %). The amount of reacted thiol groups and the rate of the reaction, the time for the reaction to reach equilibrium, the formation of a stable product and the contribution of thiol groups to protein cross-linking depend on the methylglyoxal concentration. The product formed in the reaction of thiol and an insufficient quantity of methylglyoxal (compared to the concentrations of the groups accessible for modification) participates to a significant extent (4 %) to protein cross-linking. Metformin applied in equimolar concentration with methylglyoxal prevents its reaction with amino and guanidino groups but, however, not with thiol groups.

Systemic lupus erythematosus (SLE) is a disease of unknown etiology in which tissues and cells are damaged by pathogenic autoantibodies and immune complexes. About ninety percent of patients with lupus are women between the ages of 20 and 40. The disease may affect only one organ system, and it also can be a multisystem and affect the skin, joints, kidneys, lungs, nervous system, and serous membrane. In the case report is presented a 38 year old patient with severe systemic lupus erythematosus, which adequately reacted to the treatment of mycophenolate mofetil.

Introduction: The aim of the study was to assess the seroprevalence of SARS-CoV-2 in the Republika Srpska, Bosnia and Herzegovina, after five waves of COVID-19 and 1 year after introduction of vaccination to better understand the true extent of the COVID-19 pandemic in the population of the Republika Srpska and role of vaccination in achieving herd immunity., Methods: The population-based study was conducted from December 2021 to February 2022 in a group of 4463 individuals in the Republika Srpska. Total anti-SARS-CoV-2 antibodies were determined in serum specimens using the Wantai total antibody ELISA assay. Quantitative analysis, using Kantaro IgG assays, was performed in subsamples (1273 specimens) to asses and compare levels of IgG among vaccinated, recovered and participants with hybrid immunity. To adjust for age and gender distribution in sample, poststratification method is applied., Results: The overall cumulative seroprevalence was 94.6% (95% CI = 93.9-95.3). Significantly higher seroprevalence rates were observed among vaccinated 97.8% (95% CI = 97.3-98.4) comparing to unvaccinated participants (89.5%, 95% CI = 88.0-91.0). Seroprevalence increases with the number of received doses. Among various professions, the highest seroprevalence was found in the service industry (98.1%), education (98.0%) and healthcare (96.9%). We found that 2.2% of vaccinated and 3.6% of participants with SARS-CoV-2 positivity during 2021 had no detectable IgG antibodies. Both seroprevalence (98.6%) and antibody titres (1094.4 AU/mL) were significantly higher among people with hybrid immunity., Conclusion: Our findings reveal a 2.3-fold increase in seroprevalence of SARS-CoV-2 antibodies due to infection and vaccination, comparing to the first study performed 1 year earlier. This study provides better understanding of the SARS-CoV-2 transmission and highlights the important role of the vaccination in achieving the population immunity. Periodically conducted population-based seroprevalence studies are important to understand temporal trends and assess surveillance system performance and public compliance with vaccination policies., (© 2025 The Author(s). Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd.)

Background and Objectives : Burden of cervical cancer in Central and Eastern Europe is higher than in other parts of Europe. We analyzed cervical cancer epidemiology in Serbia and Bosnia and Herzegovina (the Federation of Bosnia and Herzegovina and the Republic of Srpska) from January 2016 to December 2020, exploring the role of available sociodemographic factors and healthcare service parameters on incidence and mortality rates, using an ecological approach based on aggregated data. Materials and Methods : Incidence and mortality rates are standardized using the method of direct standardization with the World-ASR-W. Administrative units are grouped by tertiles of incidence and mortality to explore sociodemographic factors and healthcare parameters across these groups. Results : Average age-standardized incidence rates of cervical cancer per 100,000 females were 19.28 in Serbia, 12.48 in the Federation of Bosnia and Herzegovina, and 22.44 in the Republic of Srpska. Mortality rates per 100,000 females were 6.67, 5.22, and 4.56 in Serbia, the Federation of Bosnia and Herzegovina, and the Republic of Srpska, respectively. Several parameters of sociodemographics and health service usage differed significantly across units grouped by tertiles based on incidence level, i.e., female population ≥ 15 years old ( p = 0.028), population density ( p = 0.046), percent of gynecologists in the primary healthcare ( p = 0.041), number of gynecologists per 10,000 females ≥ 15 years ( p = 0.007), and the area-to-gynecologist ratio ( p = 0.010). A moderate negative correlation was found between incidence and population density (rho = -0.465, p = 0.017), and a moderate positive correlation between incidence and area-to-gynecologist ratio (rho = 0.534, p = 0.005). Conclusions : Cervical cancer remains a leading cause of cancer among women in developing countries. Implementing tailored activities, such as educational programs, preventive services, and investments in healthcare infrastructure, particularly at the administrative units' level, can help in reducing health disparities and improving health outcomes.

Analysis of microplastic (MP) occurrence in commercially relevant species is a prerequisite for food risk assessment. Using a standardized methodology, we aimed to investigate MP contamination in point-of-sale clams, mussels, and Crustacea shellfish collected from various markets (Belgium, Croatia, Serbia, and South Korea). An improved digestion protocol yielded ≥ 99.8% digestion efficiency for all species analyzed. In a total of 190 samples analyzed individually by microFTIR, MPs were identified in 43.68% of the samples with less than 1 MP/individual average (0-4 MP/individual, 0-1.35 MPs/g tissue). Significant differences between species were observed when considering samples contaminated with MPs, with Crustacea shellfish having the lowest MPs/g of edible tissue. Polystyrene, polypropylene, and polyethylene were dominant MPs found in clams and mussels, while polyamide, polyethylene terephthalate, and polyvinyl chloride were the most abundant in Crustacea shellfish. Our data do not support the bioaccumulation or biomagnification of MPs with the size of the animal in the shellfish group. MP contamination is more strongly associated with the type of shellfish than with the geographical origin of the market.

Neural networks, composed of many neurons and governed by complex interactions between them, are a widely accepted formalism for modeling and exploring global dynamics and emergent properties in brain systems. In the past decades, experimental evidence of computationally relevant neuron-astrocyte interactions, as well as the astrocytic modulation of global neural dynamics, have accumulated. These findings motivated advances in computational glioscience and inspired several models integrating mechanisms of neuron-astrocyte interactions into the standard neural network formalism. These models were developed to study, for example, synchronization, information transfer, synaptic plasticity, and hyperexcitability, as well as classification tasks and hardware implementations. We here focus on network models of at least two neurons interacting bidirectionally with at least two astrocytes that include explicitly modeled astrocytic calcium dynamics. In this study, we analyze the evolution of these models and the biophysical, biochemical, cellular, and network mechanisms used to construct them. Based on our analysis, we propose how to systematically describe and categorize interaction schemes between cells in neuron-astrocyte networks. We additionally study the models in view of the existing experimental data and present future perspectives. Our analysis is an important first step towards understanding astrocytic contribution to brain functions. However, more advances are needed to collect comprehensive data about astrocyte morphology and physiology in vivo and to better integrate them in data-driven computational models. Broadening the discussion about theoretical approaches and expanding the computational tools is necessary to better understand astrocytes' roles in brain functions., (© 2023. The Author(s).)

Introduction: During the last two and a half years, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has spread around the world. Most of the SARS-CoV-2 vaccines are designed to produce anti-SARS-CoV-2 immunoglobulin G (IgG) against the viral S-glycoprotein. The aim of this study was to measure the anti-S antibody titres among the medical personnel who had been fully vaccinated with different types of vaccines, and to compare them with those who were COVID-19 convalescents., Material and Methods: In this study serum was collected from 261 healthcare workers, of whom 227 were vaccinated, while 34 were recovered participants who were not immunised. Serum samples were collected 21 days after the first dose and 60 and 180 days after the second dose of the vaccines and tested with a commercial ELISA kit., Results: The highest antibody level (12 AU/ml) was measured in the Pfizer-BioNTech group, followed by Sinopharm (9.3 AU/ml), Sputnik V (5.9 AU/ml), Sinovac (4.6 AU/ml) and Oxford/Astra- Zeneca vaccine (2.5 AU/ml) 60 days after the second dose of the vaccines (90 days after the first dose). The seropositivity rate for mRNA vaccine was 88.5%, for vector vaccines 86.2% and for inactivated vaccines 71.4%. When comparing these antibody levels with COVID-19 convalescents, higher antibody titres were found in vaccinated participants (5.76 AU/ml vs 7.06 AU/ml), but the difference was not significant (p = 0.08)., Conclusions: Individuals vaccinated with mRNA and vector vaccines had a higher seroconversion rate compared to the group vaccinated with inactivated vaccines, or convalescents., Competing Interests: The authors declare no conflict of interest., (Copyright © 2023 Termedia.)

Antibiotics are often misused, especially for the treatment of upper respiratory tract infections (URTIs) in children, where their use is unnecessary and leads to antimicrobial resistance. This study sought to explore the knowledge, attitudes and practices (KAP) of parents and pediatricians on the use of antibiotics among children and whether the level of education of parents has an impact on their KAP. The research was carried out among 1459 parents of children under 6 years of age and among 18 pediatricians. Sixty percent of pediatricians (61.1%) were prescribed antibiotics daily in their practice. Most of the surveyed parents (98.4%) state that doctors are their main source of information when deciding on the use of antibiotics in the treatment of their children. Parents with a higher level of education use television less often as a source of information when making this decision compared to parents with a lower level of education (p = 0.039, i.e., p = 0.003). The majority of parents (80.7%) knew that Panklav (amoxicillin/clavulanic acid) is an antibiotic, while 52.5% identified Pancef (cefixime) as an antibiotic. Parents with a higher level of education correctly identified antibiotics significantly more often (p < 0.001). This study shows that in the Republic of Srpska, parents have adequate knowledge about antibiotics, especially those with a higher level of education, who show better KAP when it comes to antibiotic use.

Healthcare workers (HCW) in primary healthcare centres in the Republic of Srpska, Bosnia and Herzegovina, are on the first combat line with COVID-19. This study aimed to assess the seroprevalence of SARS-CoV-2 among HCW at the primary healthcare centres and to analyse the risk exposure to COVID-19, clinical signs and vaccination status. A cross-sectional study was conducted among HCW at the selected primary healthcare centres between 19 March and 30 April 2021. Antibodies against the SARS-CoV-2 virus were detected by enzyme-linked immunosorbent assay (ELISA). A total of 1,023 HCW (mean age 45 years; 71% female) were included in the study. The anti-SARS-CoV-2 antibodies were detected in 69.5% of all participants. There was a significant difference in seropositivity among primary healthcare centres from different geographical regions. As many as 432 (42%) of all participants had confirmed COVID-19 symptoms before the study and, 84.8% of them were seropositive. This study showed that 702 primary HCW were vaccinated with any of these vaccines: Sputnik V, Sinopharm, Pfizer/Biontech. High titre of SARS-CoV-2 antibodies was found amongst those who received one (92.6%) or both (97.2%) doses of vaccines. In this study, we report high prevalence of SARS-CoV-2 antibody among HCW in primary healthcare in the Republic of Srpska, Bosnia and Herzegovina during the third pandemic wave.

The aim of the study was to assess the seroprevalence of SARS-CoV-2 in the Republic of Srpska, Bosnia and Herzegovina, and to analyse the knowledge, attitudes and practices of the population toward COVID-19. This population-based study was conducted in a group of 1,855 randomly selected individuals from all municipalities from 1 December 2020 to 15 January 2021. All individuals were asked to sign a consent form and to fill in a questionnaire, following which a blood samples were collected. Total anti-SARS-CoV-2 antibodies were determined in serum specimens using the total Ab ELISA assay. The overall seroprevalence rate was 40.3%. Subjects aged <65 years were 2.06 times more likely to be seropositive than those aged ≥65, and 30% of seropositive individuals presented no COVID-19 symptoms. The household members of seropositive individuals were 2.24 times more likely to develop COVID-19 symptoms than the household members of seronegative individuals. More than 95% of respondents believe that preventive measures are very important to control the infection transmission. Majority of respondents wear the masks properly, maintain the required physical distance whenever possible and wash hands with soap. Nearly 50% of individuals were of the opinion that the vaccine could prevent the infection. This study showed that an overall SARS-CoV-2 seropositivity rate by the middle of January 2021 was very high. Attitudes and practices regarding the COVID-19 indicate that additional efforts should be taken in order to improve the health education with a focus on preventive measures and vaccination., Competing Interests: The authors have declared that no competing interests exist.

Recent evidence suggests that glial cells take an active role in a number of brain functions that were previously attributed solely to neurons. For example, astrocytes, one type of glial cells, have been shown to promote coordinated activation of neuronal networks, modulate sensory-evoked neuronal network activity, and influence brain state transitions during development. This reinforces the idea that astrocytes not only provide the "housekeeping" for the neurons, but that they also play a vital role in supporting and expanding the functions of brain circuits and networks. Despite this accumulated knowledge, the field of computational neuroscience has mostly focused on modeling neuronal functions, ignoring the glial cells and the interactions they have with the neurons. In this chapter, we introduce the biology of neuron-glia interactions, summarize the existing computational models and tools, and emphasize the glial properties that may be important in modeling brain functions in the future., (© 2022. Springer Nature Switzerland AG.)

Here we analyzed six years of acute flaccid paralysis (AFP) surveillance, from 2015 to 2020, of 10 countries linked to the WHO Regional Reference Laboratory, at the Istituto Superiore di Sanità, Italy. The analysis also comprises the polio vaccine coverage available (2015-2019) and enterovirus (EV) identification and typing data. Centralized Information System for Infectious Diseases and Laboratory Data Management System databases were used to obtain data on AFP indicators and laboratory performance and countries' vaccine coverage from 2015 to 2019. EV isolation, identification, and typing were performed by each country according to WHO protocols. Overall, a general AFP underreporting was observed. Non-Polio Enterovirus (NPEV) typing showed a high heterogeneity: over the years, several genotypes of coxsackievirus and echovirus have been identified. The polio vaccine coverage, for the data available, differs among countries. This evaluation allows for the collection, for the first time, of data from the countries of the Balkan area regarding AFP surveillance and polio vaccine coverage. The need, for some countries, to enhance the surveillance systems and to promote the polio vaccine uptake, in order to maintain the polio-free status, is evident.

Spontaneous network activity plays a fundamental role in the formation of functional networks during early development. The landmark of this activity is the recurrent emergence of intensive time-limited network bursts (NBs) rapidly spreading across the entire dissociated culture in vitro . The main excitatory mediators of NBs are glutamatergic alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors (AMPARs) and N -Methyl-D-aspartic-acid receptors (NMDARs) that express fast and slow ion channel kinetics, respectively. The fast inhibition of the activity is mediated through gamma-aminobutyric acid type A receptors (GABA A Rs). Although the AMPAR, NMDAR and GABA A R kinetics have been biophysically characterized in detail at the monosynaptic level in a variety of brain areas, the unique features of NBs emerging from the kinetics and the complex interplay of these receptors are not well understood. The goal of this study is to analyze the contribution of fast GABA A Rs on AMPAR- and NMDAR- mediated spontaneous NB activity in dissociated neonatal rat cortical cultures at 3 weeks in vitro. The networks were probed by both acute and gradual application of each excitatory receptor antagonist and combinations of acute excitatory and inhibitory receptor antagonists. At the same time, the extracellular network-wide activity was recorded with microelectrode arrays (MEAs). We analyzed the characteristic NB measures extracted from NB rate profiles and the distributions of interspike intervals, interburst intervals, and electrode recruitment time as well as the similarity of spatio-temporal patterns of network activity under different receptor antagonists. We show that NBs were rapidly initiated and recruited as well as diversely propagated by AMPARs and temporally and spatially maintained by NMDARs. GABA A Rs reduced the spiking frequency in AMPAR-mediated networks and dampened the termination of NBs in NMDAR-mediated networks as well as slowed down the recruitment of activity in all networks. Finally, we show characteristic super bursts composed of slow NBs with highly repetitive spatio-temporal patterns in gradually AMPAR blocked networks. To the best of our knowledge, this study is the first to unravel in detail how the three main mediators of synaptic transmission uniquely shape the NB characteristics, such as the initiation, maintenance, recruitment and termination of NBs in cortical cell cultures in vitro .

The possibility to replicate and reproduce published research results is one of the biggest challenges in all areas of science. In computational neuroscience, there are thousands of models available. However, it is rarely possible to reimplement the models based on the information in the original publication, let alone rerun the models just because the model implementations have not been made publicly available. We evaluate and discuss the comparability of a versatile choice of simulation tools: tools for biochemical reactions and spiking neuronal networks, and relatively new tools for growth in cell cultures. The replicability and reproducibility issues are considered for computational models that are equally diverse, including the models for intracellular signal transduction of neurons and glial cells, in addition to single glial cells, neuron-glia interactions, and selected examples of spiking neuronal networks. We also address the comparability of the simulation results with one another to comprehend if the studied models can be used to answer similar research questions. In addition to presenting the challenges in reproducibility and replicability of published results in computational neuroscience, we highlight the need for developing recommendations and good practices for publishing simulation tools and computational models. Model validation and flexible model description must be an integral part of the tool used to simulate and develop computational models. Constant improvement on experimental techniques and recording protocols leads to increasing knowledge about the biophysical mechanisms in neural systems. This poses new challenges for computational neuroscience: extended or completely new computational methods and models may be required. Careful evaluation and categorization of the existing models and tools provide a foundation for these future needs, for constructing multiscale models or extending the models to incorporate additional or more detailed biophysical mechanisms. Improving the quality of publications in computational neuroscience, enabling progressive building of advanced computational models and tools, can be achieved only through adopting publishing standards which underline replicability and reproducibility of research results.

The WHO Regional Commission for the Certification of Poliomyelitis Eradication has recently indicated Bosnia and Herzegovina (B&H) as a high risk country for transmission, following importation, of wild poliovirus (WPV) or circulating vaccine-derived poliovirus (cVDPV). We analyzed data on Acute Flaccid Paralysis (AFP) surveillance between 2007 to 2016, and the trend of polio immunization coverage in B&H. The majority of AFP cases was recorded in 2016 suggesting an enhancement of the AFP surveillance activities. However, the decline in the immunization coverage, around 74%, and the isolation of two Sabin-like poliovirus type 2 strains, one of them close to a VDPV, require a particular attention in the area. Although B&H has successfully maintained its polio-free status since 2002 several challenges need to be addressed., (© 2017 Wiley Periodicals, Inc.)

We developed a two-level statistical model that addresses the question of how properties of neurite morphology shape the large-scale network connectivity. We adopted a low-dimensional statistical description of neurites. From the neurite model description we derived the expected number of synapses, node degree, and the effective radius, the maximal distance between two neurons expected to form at least one synapse. We related these quantities to the network connectivity described using standard measures from graph theory, such as motif counts, clustering coefficient, minimal path length, and small-world coefficient. These measures are used in a neuroscience context to study phenomena from synaptic connectivity in the small neuronal networks to large scale functional connectivity in the cortex. For these measures we provide analytical solutions that clearly relate different model properties. Neurites that sparsely cover space lead to a small effective radius. If the effective radius is small compared to the overall neuron size the obtained networks share similarities with the uniform random networks as each neuron connects to a small number of distant neurons. Large neurites with densely packed branches lead to a large effective radius. If this effective radius is large compared to the neuron size, the obtained networks have many local connections. In between these extremes, the networks maximize the variability of connection repertoires. The presented approach connects the properties of neuron morphology with large scale network properties without requiring heavy simulations with many model parameters. The two-steps procedure provides an easier interpretation of the role of each modeled parameter. The model is flexible and each of its components can be further expanded. We identified a range of model parameters that maximizes variability in network connectivity, the property that might affect network capacity to exhibit different dynamical regimes.

The question of how the structure of a neuronal network affects its functionality has gained a lot of attention in neuroscience. However, the vast majority of the studies on structure-dynamics relationships consider few types of network structures and assess limited numbers of structural measures. In this in silico study, we employ a wide diversity of network topologies and search among many possibilities the aspects of structure that have the greatest effect on the network excitability. The network activity is simulated using two point-neuron models, where the neurons are activated by noisy fluctuation of the membrane potential and their connections are described by chemical synapse models, and statistics on the number and quality of the emergent network bursts are collected for each network type. We apply a prediction framework to the obtained data in order to find out the most relevant aspects of network structure. In this framework, predictors that use different sets of graph-theoretic measures are trained to estimate the activity properties, such as burst count or burst length, of the networks. The performances of these predictors are compared with each other. We show that the best performance in prediction of activity properties for networks with sharp in-degree distribution is obtained when the prediction is based on clustering coefficient. By contrast, for networks with broad in-degree distribution, the maximum eigenvalue of the connectivity graph gives the most accurate prediction. The results shown for small ([Formula: see text]) networks hold with few exceptions when different neuron models, different choices of neuron population and different average degrees are applied. We confirm our conclusions using larger ([Formula: see text]) networks as well. Our findings reveal the relevance of different aspects of network structure from the viewpoint of network excitability, and our integrative method could serve as a general framework for structure-dynamics studies in biosciences.

Neuronal networks exhibit a wide diversity of structures, which contributes to the diversity of the dynamics therein. The presented work applies an information theoretic framework to simultaneously analyze structure and dynamics in neuronal networks. Information diversity within the structure and dynamics of a neuronal network is studied using the normalized compression distance. To describe the structure, a scheme for generating distance-dependent networks with identical in-degree distribution but variable strength of dependence on distance is presented. The resulting network structure classes possess differing path length and clustering coefficient distributions. In parallel, comparable realistic neuronal networks are generated with NETMORPH simulator and similar analysis is done on them. To describe the dynamics, network spike trains are simulated using different network structures and their bursting behaviors are analyzed. For the simulation of the network activity the Izhikevich model of spiking neurons is used together with the Tsodyks model of dynamical synapses. We show that the structure of the simulated neuronal networks affects the spontaneous bursting activity when measured with bursting frequency and a set of intraburst measures: the more locally connected networks produce more and longer bursts than the more random networks. The information diversity of the structure of a network is greatest in the most locally connected networks, smallest in random networks, and somewhere in between in the networks between order and disorder. As for the dynamics, the most locally connected networks and some of the in-between networks produce the most complex intraburst spike trains. The same result also holds for sparser of the two considered network densities in the case of full spike trains.