Sereejav, Enkhbold
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Sereejav, Enkhbold
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Sereejav Enkhbold
Латин нэр
Sereejav Enkhbold
Албан тушаал
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Item type:Publication, Antibody Responses to mRNA Versus Non-mRNA COVID Vaccines Among Mongolian Population(Elsevier BV, 2022); ;Sandagdorj, Ankhbayar ;Bazarjav, Purevbat ;Ganbold, SaranguaEnkhtuvshin, Altansukh - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Distribution of 10-year cardiovascular disease risk levels in Mongolia: results from nation-wide health screening programINTRODUCTION: The Mongolian government recently initiated the first nationwide health screening program to assess the health status of the entire population using age-group specific health risk assessments related to the major noncommunicable diseases and behavioral risk factors. Based on data collected from nationwide health screening program, we estimated the distribution of 10-year cardiovascular disease (CVD) risks in the general population by using the risk prediction model recently published by the World Health Organization (WHO). METHODS: A representative sample of 35,769 adults aged between 40 and 80 years old participated in nationwide health screening program, which covered all 21 Mongolian provinces and 9 districts in the capital city Ulaanbaatar. Data used in the present study were obtained from the first wave of the screening program, which was held throughout Mongolia between May 2022 and February 2023. To assess the four categories of CVD risk and determine the 10-year risk of a fatal/non-fatal event, we used the WHO CVD risk 2019 laboratory-based cardiovascular disease risk charts. The following key risk factors were used to assess the 10-year CVD risk: gender, age, location, smoking status, body mass index, total cholesterol level, history of diabetes, fasting glucose level, and blood pressure level. The 10-year risk for CVD was divided into four groups: low risk (< 10%), mild risk (10 to 20%), moderate risk (20 to 30%), and high risk (> 30%). RESULTS: Total of 35,769 adults aged between 40 and 80 years old participated in the nationwide health screening program. The mean age of the participants in the screening program was 54.4 ± 9.3 years. According to the CVD charts published by the WHO, about 48% (n = 17,282) of the study population had a low 10-year CVD risk (<10%), 41% (n = 14,554) had a mild risk (10-20%), 12% (n = 3,502) had a moderate risk (20-30%), and 1% (n = 431) had a high risk (>30%). CONCLUSION: More than half of the screening program participants were identified as having a 10-year CVD risk greater than 10%. Effective intervention focusing on the male population living in urban areas, and target on major risk factors like hypertension, smoking and diabetes can be strategic approach to reducing the CVD risk in Mongolia.Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Antibody responses to mRNA versus non-mRNA COVID vaccines among the Mongolian population(Elsevier BV, 2023-09); ;Sandagdorj, Ankhbayar ;Bazarjav, Purevbat ;Ganbold, SaranguaEnkhtuvshin, AltansukhScopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, One-year antibody kinetics and effectiveness of a BNT162b2 booster after four primary COVID-19 vaccination regimens in Mongolia(2026-09) ;Bazarjav, Purevbat ;Erdene-Ochir, Tseyenkhorloo ;Sandagdorj, Ankhbayar ;Enkhtuvshin, AltansukhEnkhbayar, PurevjargalBACKGROUND: Waning immunity after primary COVID-19 vaccination and the widespread use of heterogeneous vaccine platforms have created uncertainty regarding the durability of protection following booster vaccination. Mongolia implemented a mixed-platform vaccination program and deployed BNT162b2 as a booster. We evaluated the immunogenicity, effectiveness, and safety of a BNT162b2 booster following four primary vaccination regimens with 12 months follow-up. METHODS: In this prospective observational study in Ulaanbaatar, Mongolia, adults (≥18 years) who had completed a homologous two-dose primary series with BBIBP-CorV, ChAdOx1 nCoV-19, Gam-COVID-Vac, or BNT162b2 received a BNT162b2 booster a median of 189 days (IQR 186-215) after the second dose and were grouped according to their primary vaccination regimen. Humoral immune responses (anti-SARS-CoV-2 N/S1-RBD IgG, S-RBD IgG, and neutralizing antibodies) were measured at baseline and at multiple time points up to 12 months after booster vaccination. Reactogenicity was monitored for 28 days. SARS-CoV-2 infection was ascertained by a positive antigen/lateral-flow test and/or RT-PCR. VE was estimated for prespecified follow-up intervals by comparing the risk of SARS-CoV-2 infection in each boosted group with that in an unvaccinated comparison group. FINDINGS: Among 311 participants (mean age 41.88 years [SD 13.64]; 175 [56.27%] women and 136 [43.73%] men), antibody responses peaked at day 14 and declined through day 365 in all groups. At day 14, total antibody concentrations were highest in BNT + BNT (385.03 U/mL) and lowest in Gam + BNT (341.74 U/mL). S-RBD IgG at day 14 was highest in BNT + BNT (967.0 ng/mL) and lowest in BBIBP+BNT (863.70 ng/mL). Neutralizing antibodies at day 14 were highest in BNT + BNT (368.13 AU/mL) and BBIBP+BNT (336.70 AU/mL). During follow-up, 64 participants acquired SARS-CoV-2 infection and 15 (23.44%) were admitted to hospital. Reactogenicity was predominantly mild-to-moderate, and laboratory parameters were generally within acceptable ranges. Vaccine effectiveness declined from 1 month to 12 months: BBIBP+BNT 90.54% (95% CI 59.71-97.78) to 71.17% (39.66-86.23); ChAd+BNT 84.97% (49.75-95.51) to 52.59% (8.61-75.41); Gam + BNT 89.68% (23.95-98.60) to 63.84% (15.10-84.60); BNT + BNT 91.89% (40.06-98.90) to 72.29% (34.37-88.30). INTERPRETATION: A BNT162b2 booster following diverse primary COVID-19 vaccination regimens induced strong humoral responses that declined over 12 months and showed an acceptable reactogenicity profile. VE against SARS-CoV-2 infection was highest soon after boosting and lower later in follow-up. Although antibody levels and VE showed similar temporal patterns, these findings should be interpreted as complementary outcomes rather than evidence of a direct causal relationship or a formal immunological correlate of protection. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Molecular epidemiology of SARS-CoV-2 in Mongolia, first experience with nanopore sequencing in lower- and middle-income countries setting(Wiley, 2023-12); ; ; ; Burged, NatsagdorjBACKGROUND: Coronavirus disease (COVID-19) has had a significant impact globally, and extensive genomic research has been conducted on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage patterns and its variants. Mongolia's effective response resulted in low prevalence until vaccinations became available. However, due to the lack of systematically collected data and absence of whole genome sequencing capabilities, we conducted a two-stepped, nationally representative molecular epidemiologic study of SARS-CoV-2 in Mongolia for 2020 and 2021. METHODS: We used retrospective analysis of stored biological samples from November 2020 to October 2021 and a variant-specific real-time reverse transcription polymerase chain reaction (RT-PCR) test to detect SARS-CoV-2 variants, followed by whole genome sequencing by Nanopore technology. Samples were retrieved from different sites and stored at -70°C deep freezer, and tests were performed on samples with cycle threshold <30. RESULTS: Out of 4879 nucleic acid tests, 799 whole genome sequencing had been carried out. Among the stored samples of earlier local transmission, we found the 20B (B.1.1.46) variant predominated in the earlier local transmission period. A slower introduction and circulation of alpha and delta variants were observed compared to global dynamics in 2020 and 2021. Beta or Gamma variants were not detected between November 2020 and September 2021 in Mongolia. CONCLUSIONS: SARS-CoV-2 variants of concerns including alpha and delta were delayed in circulation potentially due to public health stringencies in Mongolia. We are sharing our initial experience with whole genome sequencing of SARS-CoV-2 from Mongolia, where sequencing data is sparse.Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Correction: Distribution of 10-year cardiovascular disease risk levels in Mongolia: results from nation-wide health screening program[This corrects the article DOI: 10.3389/fpubh.2025.1412262.]. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Examining Age-Adjusted Associations between BMI and Comorbidities in Mongolia: Cross-Sectional Prevalence(2024-06); ; ; ;Tsedev-Ochir, Tumur-OchirEnebish, Oyunsuren(1) Background: This study investigated the association between body mass index (BMI) categories and comorbidities in the context of a developing country, utilizing data from a nationwide health screening in Mongolia. (2) Methods: The study included 181,080 individuals (mean age 47.0 ± 15.3, 42.0% male) from the population-based general health screening. We counted the number of diseases from participants' medical records based on ICD-10 codes, excluding those categorized under Z00-Z99 and codes indicating acute disorders, as well as individuals classified as underweight. (3) Results: Among study participants, the prevalence of two or more comorbidities was 4.2%. The weight distribution comprised 40.4% normal weight; 37.1% overweight; and 16.9%, 4.4%, and 1.2% in the Class I, II, and III obesity categories, respectively. Comorbidities increased with BMI: normal weight (0.222); overweight (0.255); and Class I (0.290), Class II (0.302), and Class III obesity (0.303), suggesting a dose-dependent likelihood of having multiple diseases. Adjusted linear regression (beta coefficients, 95% CIs) showed increased comorbidity risks in overweight (0.017, 0.013-0.021) and obesity (0.034, 0.030-0.039). Interaction analysis with age revealed a significant effect (p < 0.001). While comorbidities tend to increase with higher BMI categories in all age-tertile groups, this association was notably stronger among younger individuals. (4) Conclusions: Obesity is associated with a twofold increase in the prevalence of multiple comorbidities compared to normal weight. Our findings also highlight the critical role of age in the development of multiple diseases, with BMI remaining a significant factor across various age groups, encompassing both younger and older adults.Scopus© Citations 9
