Background: Type I hypersensitivity, commonly known as an allergic reaction, is characterised by an IgE-mediated immune response triggered when foreign proteins enter the body. During allergic reactions, cytokines such as IL-4, IL-5, IL-9, and IL-13, secreted by T-helper 2 (Th2) cells, play a crucial role in activating immune effector cells like eosinophils and mast cells, which contribute significantly to airway inflammation and obstruction. Conversely, interferon-gamma (IFN-γ), produced by Th1 cells, suppresses Th2-mediated responses and plays an essential role in regulating allergic inflammation. Therefore, determining the balance of cytokines produced by Th1 and Th2 cells is crucial for understanding the mechanisms underlying allergic responses. Aim: We aimed to induce an allergic response in experimental animals using ovalbumin and to determine the levels of IL-4 and IFN-γ cytokines using an in-house enzyme-linked immunosorbent assay (ELISA). Materials and Methods: A total of 20 female C57BL/6 mice aged 6–8 weeks were selected for the experiment and randomly divided into two groups: control and experimental groups. The concentrations of IL-4 and IFN-γ cytokines in mouse serum were determined using an in-house enzyme-linked immunosorbent assay (ELISA). Result: Compared to the control group, the levels of IL-4 and IFN-γ cytokines in the serum of allergic model-induced C57BL/6 mice were determined to be 513.7 pg/mL and 193.2 pg/mL, respectively. A statistically significant difference was observed in IL-4 cytokine levels between the two groups (p < 0.001). Conclusion In the allergic model group, serum levels of IL-4 cytokine were elevated, while IFN-γ cytokine levels were decreased, suggesting a predominant Th2-type immune response.

Introduction: The World Health Organization (WHO) reports that noise pollution leads to a variety of short-term and long-term health issues, including sleep disorders, cardiovascular diseases, impaired concentration, decreased performance at work and school, and hearing difficulties. It has been established that for every 10 dB increase in environmental noise, the incidence of heart attacks among individuals aged 65 and older increases by 3.9% compared to those living in quieter environments (Seidler, et al., 2016). Furthermore, it has been found that noise pollution exceeding 65 dB is directly related to hypertension among residents living along high-traffic roads. Objective: To assessing traffic load and noise pollution on the roads of Ulaanbaatar Materials and Methods: The study was a cross-sectional survey conducted to determine noise pollution at 15 locations along roads such as Sun Road, Peace Avenue, Ard-Ayush Street, and Ikh Toiruu. Measurements were taken during morning (7-9 AM), afternoon (12-2 PM), evening (5-7 PM), and night (11 PM-1 AM) using a Noise Meter, Sound Level Meter, and portable equipment. Measurements were conducted at one point 100-200 meters from the main road, with three repetitions to assess hearing levels. Statistical analysis was performed using SPSS-24 software, and the results were compared to the Air Quality Technical General Requirements MNS 4585:2016 standard (During the day (07:00-22:00), 60 dB(A), and at night (22:00 07:00), 45 dB(A)). Results: The measurement results revealed that the maximum noise value in the morning (7-9 AM) was 83 dB(A), the minimum noise value was 51 dB(A), and the average of the maximum noise values was 74.1±4.7 dB(A). The maximum noise value during the day was 97 dB(A), the minimum noise value was 47 dB(A), and the average of the maximum noise value was 74.4±6.9 dB(A). In the evening, the maximum noise value was 88 dB(A), the minimum noise value was 47 dB(A), and the average of the maximum noise value was 74.4±6.6 dB(A). For the night measurements, the maximum noise value was 86 dB(A), the minimum noise value was 49 dB(A), and the average of the maximum noise value was 69.4±7.7 dB(A).
When calculating the average noise pollution on weekdays and weekends, the average of the max and min values during the morning, evening, and night on weekdays was 0.59-4.33 dB(A) higher than that of the weekend. The average maximum value during the day on weekends was 2.79 dB(A) higher than that of weekdays. The number of vehicles participating in road traffic showed a strong positive correlation with environmental noise (Rxy=0.660, p=0.0001), and the number of times the horn was sounded also revealed strong positive correlation with environmental noise (Rxy=0.674, p=0.029). Conclusion The noise level along the main roads exceeds the permissible limits set by the "Air Quality. Technical General Requirements MNS 4585:2016" standard by 37 dB(A) during the day and by 41 dB(A) at night. The average maximum value during the day exceeds the standard by 14.6 dB(A). This indicates that Ulaanbaatar is experiencing noise pollution at levels that negatively affect the health of the urban population.

Background: Indoor air quality in schools is an important environmental health concern because children spend a substantial proportion of their time in classrooms and are particularly vulnerable to air pollutants. Objective: To assess common chemical, and biological pollutants in the indoor air of general education schools in Ulaanbaatar. Methods: A cross-sectional study was conducted from October 10, 2025, to March 1, 2026, in 16 purposively selected schools and 32 classrooms across six districts of Ulaanbaatar. PM2.5, PM10, CO₂, and microclimatic parameters were monitored continuously for seven days. Volatile organic compounds, formaldehyde, BTEX compounds, and radon were also measured. Airborne microorganisms were assessed using 160 air samples, and 160 surface swabs were collected. Results were compared with MNS 7106:2026, MNS 5484:2005, and MNS 6410:2018 standards. Results: The mean 24-hour concentrations of PM2.5 and PM10 were 25.2 and 36.1 µg/m³, respectively. PM2.5 exceeded the permissible level during winter and in schools located in apartment areas, whereas the mean PM10 concentration met the acceptable level. Total bacteria were detected in all air samples, with a mean concentration of 1,733.25 CFU/m³. Mould and fungi were detected in 56.3% of classrooms, and enteric bacteria were detected in 4.3% of surface swabs. Radon levels remained below the permissible limit, and pathogenic bacteria were not detected. Formaldehyde was detected in all samples, while total VOCs and toluene were detected in 81.3%; their mean concentrations remained within acceptable levels. In one classroom, the concentration of benzene was detected approximately 30 times higher the permissible level. Conclusion Although some indoor air-quality indicators met the relevant standards, PM2.5, total bacteria, mould and fungi, surface enteric bacteria, and benzene contamination require improvement and may pose health risks to children. Regular ventilation, improved cleaning and hygiene, proper maintenance of HEPA devices, and routine monitoring of particulate matter, mould, and VOCs are needed.

Introduction: Safe and accessible WASH services in healthcare facilities are crucial for maintaining high quality care, especially for maternal and newborn health. The WHO-UNICEF JMP on Water Supply, Sanitation, and Hygiene provides reports on progress in water supply, sanitation, and hygiene services at global, regional, and national levels, covering populations, schools, and healthcare facilities. This assessment was conducted to address the insufficient data on the level of hand hygiene services in healthcare facilities, following the methodology of the JMP. Materials and Methods: A cross-sectional study was conducted in 319 healthcare facilities. Availability of hand hygiene services in the study healthcare facilities was assessed using questionnaire of methodology of the JMP. Data were analyzed using SPSS 25.0 software. Relevant parametric and non parametric statistical analysis were conducted. Results: Overall, 72% and 28% of healthcare facilities had basic and limited hand hygiene service respectively. About 18% of private healthcare facilities had limited hand hygiene service compared to 34% of state healthcare facilities. While 20% of urban healthcare facilities had limited hand hygiene service, 56% of rural healthcare facilities do. When examining the level of hand hygiene services by type of medical care, specialty hospitals have 100% basic services. Among primary care facilities, 83% of family health centers provide basic services, while 41% of soum and village health centers meet these standards. Conclusion The basic hand hygiene services in urban healthcare facilities and specialty hospitals were generally sufficient. There need to enhance basic hand hygiene service at the soum and village level. Among the assessed facilities, 81.0% met four out of the five key hand hygiene requirements outlined in the national standard. However, additional budget allocation for maintenance and operational costs for keeping soap and sustaining water running remains crucial to ensure sustained compliance and quality.

Introduction: According to the WHO, being exposed to loud noise for a long time can be very harmful to health. It can lead to heart and blood vessel problems, mental health issues, trouble sleeping, and hearing loss. Noise pollution has a negative effect on the brain and nervous system, and it can cause many problems. High-frequency noise, in particular, can disturb the central nervous system. This can lead to problems like poor concentration, more anxiety, and feeling mentally tired. Many studies around the world have shown that noise levels of ≥85 dB at work increase the risk of noise-induced hearing loss (NIHL) and tinnitus.In Ulaanbaatar, environmental noise pollution continues to grow due to population growth, construction, and urban planning. Therefore, it is important to find out whether environmental noise pollution is linked to mental and behavioral disorders, insomnia, nervous fatigue, high blood pressure, and hearing loss among the population. Goal: The aim of this study is to examine the prevalence of primary hypertension (I10), nervous fatigue (F48.0), sleep disorders (F51.0), and tinnitus (H83.3) caused by environmental noise among the population of Ulaanbaatar. Materials and Methods: A descriptive research design was applied to examine statistical data from the Center for Health Development regarding diseases related to noise pollution. Based on the 10th revision of the International Classification of Diseases (ICD-10), the study focused on conditions such as neurasthenia (F48.0), non-organic sleep disorders (F51), primary hypertension (I10), and hearing disorders (H83.3). The analysis included data recorded between 2014 and 2023 among the population of Ulaanbaatar city. Epidemiological analysis was performed using SPSS-24 software, and the results were calculated per 10,000 population. Ethical Considerations: This study did not receive any external funding or financial support from public or private organizations. It utilizes secondary data from the Health Development Center, which does not contain any personal information. Results: In 2014, the average age of individuals diagnosed with neurasthenia (F48.0) was 40.1±12.6 years; for non-organic sleep disorders (F51.0), it was 48.1±14.5 years; for noise-induced hearing disorders (H83.3), 47.2±12.7 years; and for primary hypertension (I10), the average age was 59.0±11.4 years. By 2023, the average age for primary hypertension had slightly decreased to 58.0±12.9 years. Since 2014, the number of cases of nervous fatigue, non organic sleep disorders, and hearing problems caused by noise has risen in Ulaanbaatar. In 2023, the average age of people with primary hypertension (I10) dropped to 58.0±12.9 years. Noise-related illnesses are common among people aged 40 to 60 in Ulaanbaatar, and this is lowering their quality of life. Conclusion Noise-related illnesses are being recorded among the 40–60 age group in Ulaanbaatar, which is negatively affecting their quality of life. It is urgently necessary to introduce measures for adequate protection of the population from the negative health effects of environmental noise.

Introduction: In 2020, the prevalence of respiratory system diseases in the population of Gobi-Altai province is 1339.5 cases per 10,000 population, which is 4% (52) more than the average of the provinces and 20% (223.8) more than the national average. In 2021, the number of deaths due to respiratory system diseases was 2.9 per 10,000 population, increasing by 1.1 from 2020 (1.8). Pneumonia-related deaths account for 60.7% of all respiratory system-related deaths. As of 2022, there are 7,281 simple stoves, 248 low-pressure and steam boilers, and 18,207 automobiles in the Gobi-Altai province as sources of air pollution. 63.1% of the total coal is consumed by water heating boilers with a capacity of more than 101 kW, 20.5% by households, and 16.4% by small and medium enterprises. Goal: Determining the relationship between the incidence of pneumonia in the population of Gobi-Altai province and the common air pollutants. Material and Method: According to the rotation research model, the common external air pollutants SO₂, NO₂, PM₁₀, climate parameters, temperature, pressure, humidity, and population pneumonia measurements and registration data of Altai Sum, Gobi-Altai Province in 2020-2021 were analyzed using SPSS-24 software. statistical processing was calculated for non-parametric parameters. Result: The annual average value of sulfur dioxide (SO₂ ) measured in 20 minutes in Gobi-Altai province is 25.2 ± 13.7 μg/m³, the annual average value of nitrogen dioxide (NO₂) measured in 20 minutes is 36.329±29 μg/m³, and the annual average concentration of PM₁₀ particles is 35.2 ± 28,264 μg/m³, which is the standard level of MNS4585:2016. But the 20-minute average concentration of SO₂ (r=0.81, p=0.005), the average concentration of NO₂ (r=0.089, p=0.008), and the average concentration of PM₁₀ (r=0.089, p=0.002) is directly related to the incidence of pneumonia. It is also inversely correlated with air temperature (r=-142, p=0,000). Conclusion Common outdoor air pollutants in Yesunbulag sum, Gobi-Altai Province are related to pneumonia in children aged 0-5 years.

Introduction : Water is a vital resource for human existence and is essential for daily food processing, preparation, washing, hygiene, and sanitation. Furthermore, providing the population with safe drinking water is one of the pressing problems of the world and some regions.
In recent years, population density and the scale of commercial and industrial activities, as well as clean and dirty water consumption were increased in the capital city. As a result of these, ground and surface water resources are becoming scarce and polluted.
Therefore, assessment of daily drinking and residential water consumption of Ulaanbaatar should be determined to use drinking water properly in daily life and water loss. This study assessed the actual amount of households’ daily water consumption. Goal: The purpose of this study is to determine the daily consumption of drinking water for households in ger areas and apartments in Ulaanbaatar. Materials and Method: This study covers 30 households in ger areas and 15 apartment households, in Ulaanbaatar. Household members performed 6-10 types of measurements every day, within 7 days. As a result of these measurements, actual consumption of water quantity used for drinking and household purposes was calculated. Statistical analysis was done by SPSS Version 21 to calculate the true probability of difference between parameters. Result: 67.9% of the households in the ger areas were 4-5 family members. The average daily household consumption of drinking and domestic water were 68.3 ± 3.57 L (95% 61.3-75.3), the minimum consumption was 12 L, and the maximum was 227 L. Average of the household water consumption water was 97.6-108.9 liters during the weekends, and water consumption was statistically higher than weekdays (p=0.001; p=0.01).
The water consumption of residential households with 3 family members accounted for the majority (30.8%) in this study. The average daily consumption of drinking and domestic water was 297.67±19.7 liters. There was no statistically significant difference (p=0.96) in week. The average daily water consumption including drinking and residential was 270.3-335.97 L.
The total daily drinking and residential water consumption per person was 15.57 L for households in ger areas and 90 L for apartment households. Calculating the daily water consumption of households in ger areas, 60.3% of it is used for laundry, washing dishes, food preparation, washing face and hands, and clothes, 31% for drinking, and 8.7% for outdoor water use. While apartment households, approximately 94.1%, were used for household and 5.9% for drinking purposes. Research ethics approval : This study was discussed at the meeting of the Academic Council of the National Center for Public Health. In addition, this study was carried out according to the methods and methods discussed and approved at the meeting of the Medical Ethics Control Committee of the Ministry of Health (Resolution No. 08). Conclusion The total daily consumption of drinking and residential water per person were 15.57 litres for the households in the ger areas and 90 litres for the apartment households. It implies that it does not exceed the WHO recommendations

Introduction: This field assessment was performed to ensure the effective implementation of Order No. A/142 of the Deputy Prime Minister of Mongolia dated 30^th December 2021 and Order No. A/01 of the Head of the National Committee for Reducing Environmental Pollution dated 3^rd January 2022 and to monitor the level of indoor air pollutants emitted from traditional stoves and standard stoves. Purpose: To determine the level of indoor air pollutants emitted from briquette combustion and to develop recommendations by comparing various types of stoves and dwellings. Materials and Methods: Through analytical cross-sectional designs, three households from Songinokhairkhan district and one household from Chingeltei district were selected to participate in this assessment as they use briquettes for heating, vary in their dwelling types (ger (traditional Mongolian tent), house) and their stove types (traditional, standard), stay home during the day and chose to participate in the assessment. 24-hour continuous measurements were conducted for each dwelling and before taking measurements, we calibrated and adjusted the air suction velocity of the measuring instrument at the Central Metrology Laboratory. The monitor was placed at a distance of 0.5m from the stove and a height of 0.5-1.0m from the floor. The results were then compared with the Mongolian National Standard “General air quality and technical requirements MNS4585:2016” and WHO Guidelines for Indoor Air Quality 2021. Statistical analysis was performed using SPSS 24.0 software, mean, ANOVA test, and if the p-value is less than 0.05, our results are statistically significant. Results: The concentration level of SO₂ in houses with “Dul” stoves was within the level specified in the Mongolian standard MNS4585: 2016 and WHO Guidelines for Indoor Air Quality 2021, while 24-hour SO₂ concentration in gers and houses with traditional stoves was 1.3-2.92 times higher than the standards. The 24-hour average concentration of nitrogen dioxide in houses with traditional stoves was 1.73 times higher than the Mongolian air quality standard MNS4585: 2016. There were statistically significant differences in the emission levels of SO₂ and NO₂ depending on dwelling and stove types (df=4, f=4.04, p=0.008 and df=4, f=17.17, p=0.001, respectively.). The 8-hour average (10,000 μg/m3) CO concentration was statistically significant for various types of dwellings and stoves (df=4, f=45.17, p=0.001), whereas there was a statistically significant difference in CO concentrations in gers with traditional stoves and gers with standard stoves in terms of morning, afternoon, and evening hours (df=3, f=33.17, p=0.001). Conclusion Indoor air pollutants in the households except for houses with “Dul” stoves have been determined to exceed the air quality standards set by the Mongolian air quality standards and WHO Guidelines for Indoor Air Quality 2021.

Introduction: During this pandemic, overcrowding in classroom caused by a lack of educational facilities and poor indoor air quality are the main causes of respiratory diseases among children and adolescents. Therefore, it is essential to measure and assess the indoor air quality where children spend extended periods of time such as school. Materials and methods: This study covered four schools with old buildings and four schools with new buildings in Bayanzurkh, Sukhbaatar, Khan-Uul, Chingeltei district of Ulaanbaatar. We collected PM10 and PM2.5, carbon dioxide, air temperature, humidity, and microbiological count from chosen classrooms and compared to the MNS4585:2016 standard. SPSS-24 was used to do statistical analysis on the information gathered during the evaluation. Results and Discussion: The 24-hour average PM2.5 concentration was 64.3 (95% CI: 64.1-64.5) mcg/m3, which was 4.3 times higher than the WHO guideline value and 1.3 times higher than the MNS4585:2016 standard. The 24-hour average PM10 concentration was 85.3 (95 % CI: 85.1-85.6) mcg/m3, which is 1.9 times higher than WHO guideline value. In older school buildings, the 24-hour average PM2.5 concentration was 5.6 times higher than the WHO guideline value and 1.7 times higher than the MNS4585:2016; the average PM10 concentration was 2.8 times higher than the WHO guideline value and 1.3 times higher than the MNS4585:2016. The air temperature and carbon dioxide concentration in classroom was met the MNS4585: 2016. The average relative humidity of all schools is 24.2±6.5%, which is 14-16% lower than the MNS4585: 2016. Conclusion The indoor air quality of the school in new and old buildings was similar poor, therefore a variety of steps are needed to improve it.

Rationale: Carbon monoxide (CO) is a colorless, odorless gas produced by carbon-containing substances, most commonly incomplete fuel and biomass combustion. Carbon monoxide deprives the human body of oxygen, leads to severe poisoning and death. In 2017, there were 137 new cases of carbon monoxide poisoning per 1,000,000 people worldwide, and 4.6 deaths per 1,000,000. The global incidence of carbon monoxide poisoning has remained steady over the previous 25 years, while mortality has decreased by 36-40%. Every year in Mongolia, 700-840 persons are hospitalized for carbon monoxide poisoning. Also, there has been a lack of study into the prevalence and causes of carbon monoxide poisoning and death. Goal: Study the dynamics of morbidity and mortality cases caused by carbon monoxide poisoning in Mongolia. Objectives:
To analyze the carbon monoxide poisoning morbidity recorded in Mongolia between 2016-2020.
To analyze the carbon monoxide poisoning mortality reported in Mongolia between 2016-2020. Material and Methods: The survey was conducted utilizing data from outpatient and inpatient poisoning and deaths reported in 2016-2020 with the goal of studying carbon monoxide poisoning and mortality in Mongolia. Workplace exposure poisoning was excluded from quantitative data on carbon monoxide poisoning (fires, suicidal, accidental and domestic explosions, accidents, external effects).The statistics analysis was performed using 23 versions of the SPSS program, to estimate a distribution of new cases and fatalities per 10,000 population depended on age, sex, average number of hospital days, and standard error. ArcGIS version 10.8 was used to map the locations. Results: Acute carbon monoxide poisoning. Carbon monoxide poisoning was 0.01-0.31 cases per 10,000 population during 2016 and 2018. Between 2019 and 2020, it increased to 1.5-1.9 cases per 10,000 population, with up to 37% of those admitted to hospitals. In the last five years, carbon monoxiderelated deaths have been reported in 0.1-0.3 cases per 10,000 population. The amount of hours firing of the households increases every year in September, when the colder season begins. Incidences of death and intentional poisoning were reported in Arkhangai, Uvurkhangai, Khuvsgulaimags, and Ulaanbaatar. The average age of poisoning patients admitted to the hospital was 33 ± 19.5 years old (minimum 2 months, maximum 81). In terms of gender, women registered for 58.4 (734) percent of all cases. The average number of days spent in the hospital was 3.4± 3.7 days.
Carbon monoxide poisoning-related mortality. During the previous five years (2016-2020), 353 people died in Mongolia as a result of carbon monoxide poisoning, although 1.4 percent, or five people, died in hospitals, one case in Bayan-Ulgii, Zavkhan, and Uvs aimags, and two cases in Ulaanbaatar. However, 98.6 percent of them died prematurely at home or in poisoned places due to a lack of access to health care. The average age of carbon monoxide poisoning deaths cases was 35 ± 19.9 years old, and 71.7 (253) percent were male. The Ulaanbaatar, Selenge, Uvs, and Dornod aimags had the lowest death rate of 0.08-0.21 per 10,000 population, while Khuvsgul and Arkhangai aimags had the highest death rate of 0.96-1.57 per 10,000 population. Conclusions Carbon monoxide poisoning among the population rises during the winter season, however, in the previous five years, 96.5 percent of cases have been poisoned accidentally, particularly 82.6 (1035) percent of cases reported in Ulaanbaatar. According to socioeconomic factors, 41.6 (529) of the cases were male, with an average age of 36.5±15.4 years.
During the preceding five years, carbon monoxide-related mortality in Mongolia was between 0.2 per 10,000 people. Without medical attention, 99.2% of cases died at the exposed location or area. The death rate in Khuvsgul aimags was low, whereas it was high in Ulaanbaatar city. The average age of premature deaths was 35±19.9 years, and 71.7 (253) percent were male.