ObjectivesThere is a large spectrum of viral, bacterial, fungal, and prion pathogens that cause central nervous system (CNS) infections. As such, identification of the etiological agent requires multiple laboratory tests and accurate diagnosis requires clinical and epidemiological information. This hospital-based study aimed to determine the main causes of acute meningitis and encephalitis and enhance laboratory capacity for CNS infection diagnosis.MethodsChildren and adults patients clinically diagnosed with meningitis or encephalitis were enrolled at four reference health centers. Cerebrospinal fluid (CSF) was collected for bacterial culture, and in-house and multiplex RT-PCR testing was conducted for herpes simplex virus (HSV) types 1 and 2, mumps virus, enterovirus, varicella zoster virus (VZV), Streptococcus pneumoniae, HiB and Neisseria meningitidis.ResultsOut of 140 enrolled patients, the mean age was 23.9 years, and 58% were children. Bacterial or viral etiologies were determined in 51% of patients. Five Streptococcus pneumoniae cultures were isolated from CSF. Based on in-house PCR analysis, 25 patients were positive for S. pneumoniae, 6 for N. meningitidis, and 1 for H. influenzae. Viral multiplex PCR identified infections with enterovirus (n = 26), VZV (n = 4), and HSV-1 (n = 2). No patient was positive for mumps or HSV-2.ConclusionsStudy findings indicate that S. pneumoniae and enteroviruses are the main etiologies in this patient cohort. The utility of molecular diagnostics for pathogen identification combined with the knowledge provided by the investigation may improve health outcomes of CNS infection cases in Georgia.

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This study led to better multi-sectoral collaboration and improved national capacity to perform economic evaluations. Routine infant vaccination against Streptococcus pneumoniae would be highly cost-effective in Georgia. The decision to introduce PCV10 was already made some time before the study was initiated but it provided important economic evidence in support of that decision. There are several uncertainties around many of the parameters used, but a multivariate scenario analysis with several conservative assumptions (including no herd effect in older individuals) shows that this recommendation is robust. This study supports the decision to introduce PCV10 in Georgia.

Zoonotic diseases are endemic in the country of Georgia. Using the non‐linear canonical correlation (NCC) method, the aim of this study was to examine the relationship between thirteen epidemiological risk factors and seropositivity to five zoonotic infections (anthrax, Q fever, tularemia, leptospirosis, and Crimean‐Congo hemorrhagic fever [CCHF]) among Georgian military recruits during 2014–2016. According to this multivariate statistical technique, which is suitable for the analysis of two or more sets of qualitative variables simultaneously, two canonical variables were identified. These variables accounted for 68% of the variation between the two sets of categorical variables (“risk factors” and “zoonotic infections”). For the first canonical variable, there was a relationship among CCHF (canonical loading, which is interpreted in the same way as the Pearson's correlation coefficient, [cl] = 0.715), tick bites (cl = 0.418) and slaughter of animals (cl = 0.351). As for the second canonical variable, Q fever (cl = −0.604) and leptospirosis (cl = −0.486) were related to rodents inside and outside home (cl = −0.346) and sweeping in or around home (cl = −0.317). The NCC method allows researchers to obtain additional insights into the complex relationship between epidemiological risk factors and multiple zoonotic infections.

Bacterial meningitis remains important cause of morbidity and mortality worldwide, particularly in developing countries. This study analyzed the data from sentinel surveillance for bacterial meningitis among children <5 years of age hospitalized in largest children's hospital in Tbilisi, capital of Georgia and adult patients hospitalized in infectious diseases hospital during 2006-2010 with suspected bacterial meningitis. The surveillance is conducted by National Center for Disease Control and Public Health (NCDCPH). The number of patients with identified organism was 127 (19 %). In the subsample of patients with laboratory confirmed bacterial meningitis Streptococcus pneumoniae was the most frequently isolated organism (67 cases, 52.8 %), followed by. influenza (17 cases, 13.4 %) and Neisseria meningitidis (16 cases, 12.6 %). The number of patients with suspected TB meningitis was 27 (21.3 %). The overall case fatality rate in the subgroup of patients with identified organism was 12.3 %. The highest mortality was observed among TB patients (22.2 %) with 14.3 % mortality for N. meningitidis and 10.3 % for S. pneumoniae. No lethal outcome was observed among patients with Haemophilus influenzae.