Anna Mainka | Antimicrobial Resistance | Innovative Research Award | 2229

Innovative Research Award

Anna Mainka
Silesian University of Technology, Poland
Innovative Research Award
Affiliation Silesian University of Technology
Country Poland
Scopus ID 57062991800
Documents 40
Citations 901
h-index 19
Subject Area Antimicrobial Resistance
Event Global Diseases Research Awards
ORCID 0000-0002-2499-1764

Anna Mainka is a researcher affiliated with Silesian University of Technology whose published work addresses environmental health, indoor air quality, airborne contaminants, and antimicrobial resistance related studies. Her scholarly profile includes multidisciplinary investigations on environmental exposure and public health assessment through peer-reviewed publications.[1]

Abstract

This academic recognition article summarizes research activities associated with Anna Mainka and her documented publication record. Research output demonstrates continuing work involving environmental exposure assessment, microbial aerosols, indoor environmental quality, and pollution-related health analysis. Existing studies indicate practical relevance in healthcare and public environmental monitoring applications.[2]

Keywords

Antimicrobial resistance, environmental health, indoor air quality, bacterial aerosols, exposure assessment, healthcare environments, atmospheric pollutants, environmental monitoring.

Introduction

Environmental exposure and antimicrobial resistance have become important interdisciplinary research topics. Studies connecting pollutants and microbial behavior contribute to improved understanding of public health conditions and environmental risk assessment. Contemporary investigations increasingly focus on healthcare environments and urban exposure patterns.[3]

Research Profile

Anna Mainka has documented publications and collaborative investigations focused on air quality assessment, exposure science, and microbiological analysis. The researcher profile indicates publication activity across international journals and multidisciplinary research areas with measurable citation performance.[1]

Research Contributions

Research contributions include studies on bacterial aerosols, particulate matter exposure, healthcare environmental quality, and indoor pollution monitoring. Several investigations evaluate pollutant exposure effects and environmental health risks using observational and applied methodologies.[4]

Publications

Published research associated with Anna Mainka demonstrates sustained contributions in environmental and atmospheric science. Research themes include healthcare microbiology, bacterial aerosols, particulate matter exposure, ventilation studies, and environmental quality assessment. Published work reflects collaborative studies across healthcare and environmental contexts with measurable scholarly influence.[5]

Research Impact

Publication metrics and citation indicators suggest continuing scholarly visibility and research engagement. Citation activity and interdisciplinary collaboration demonstrate relevance within environmental health and microbial exposure research communities.[2]

Award Suitability

The documented publication profile and environmental research activity support consideration for academic recognition associated with innovation and applied research impact. Scholarly output aligns with the interdisciplinary objectives commonly considered within research award evaluations.

Conclusion

Available publication records indicate continuing research activity and measurable scholarly contribution within environmental and antimicrobial research domains. The research profile reflects sustained publication productivity and collaboration across scientific disciplines.

References

  1. Kauch, K., Mainka, A., & Brągoszewska, E. (2026). Airborne antibiotic-resistant bacteria—Challenge for healthcare environments. Atmosphere, 17(6).https://doi.org/10.3390/atmos17060617
  2. Mainka, A., & Żak, M. (2022). Synergistic or antagonistic health effects of long and short-term exposure to ambient NO₂ and PM2.5: A review. International Journal of Environmental Research and Public Health, 19(21).https://doi.org/10.3390/ijerph192114079
  3. Mainka, A. (2021). Preschool children health impacts from indoor exposure to PM2.5 and metals. Environment International, 159.https://doi.org/10.1016/j.envint.2021.107062
  4. Brągoszewska, E., & Mainka, A. (2024). Bacterial aerosol in ambient air—A review study. Applied Sciences, 14(18).https://doi.org/10.3390/app14188250
  5. Kozielska, B., Mainka, A., Żak, M., Kaleta, D., & Mucha, W. (2020). Indoor air quality in residential buildings in Upper Silesia, Poland. Building and Environment, 177.https://doi.org/10.1016/j.buildenv.2020.106914

Amos Kipkorir Langat | Infectious Disease | Best Researcher Award

Assist. Prof. Dr. Amos Kipkorir Langat | Infectious Disease | Best Researcher Award 

Senior Research Fellow | Jomo Kenyatta University of Agriculture and Techno | Kenya

Dr. Amos Kipkorir Langat, Ph.D., is a highly accomplished statistician, academic, and economist with expertise in Bayesian analysis, machine learning, spatial statistics, and public health modeling. He earned his Ph.D. in Mathematics (Statistics) from the Pan African University Institute for Basic Sciences, Technology and Innovation, his MSc. in Applied Statistics from Jomo Kenyatta University of Agriculture and Technology (JKUAT), and his BSc. in Economics and Mathematics from Kabarak University. Currently, he serves as a Lecturer at JKUAT and Senior Economist at the County Government of Bomet, with previous teaching roles at Maasai Mara and Kabarak Universities. His research spans statistical modeling of infectious diseases, HIV risk factors, maternal health, survival and time series analysis, and measurement error models. He has supervised MSc. and Ph.D. students across Africa, authored over 30 peer-reviewed publications, and contributed to journals such as Scientific African, Asian Journal of Probability and Statistics, and Annals of Medicine & Surgery. Dr. Langat has secured prestigious awards including the AU Ph.D. Scholarship and SICSS research funding, and he actively contributes as a reviewer and conference organizer. His technical expertise includes proficiency in R, Python, STATA, SAS, SPSS, WinBUGS/OpenBUGS, and advanced econometric tools. A member of the Royal Statistical Society, ISCB, IBS, and the Kenya National Statistical Society, he also demonstrates a strong commitment to community service through educational leadership roles. Dr. Langat exemplifies a dedicated scholar, mentor, and researcher advancing applied statistics in public health and beyond

Profile: Google Scholar | Scopus | Orcid

Featured Publications

1. Langat, A., Orwa, G., & Koima, J. (2017). Cancer cases in Kenya; forecasting incidents using Box & Jenkins ARIMA model. Biomedical Statistics and Informatics, 2(2), 37–48. Cited by: 21

2. Benki-Nugent, S. F., Martopullo, I., Laboso, T., Tamasha, N., Wamalwa, D. C., … [and others]. (2019). High plasma soluble CD163 during infancy is a marker for neurocognitive outcomes in early-treated HIV-infected children. JAIDS Journal of Acquired Immune Deficiency Syndromes, 81(1), 102–109. Cited by: 14

3. Mutinda, J. K., & Langat, A. K. (2024). Stock price prediction using combined GARCH-AI models. Scientific African, 26, e02374. Cited by: 10

4. Mutinda, J. K., & Langat, A. K. (2024). Modeling the impact of air pollution and meteorological variables on COVID-19 transmission in Western Cape, South Africa. International Journal of Mathematics and Mathematical Sciences, 2024(1), 1591016. Cited by: 5

5. Mutinda, J. K., & Langat, A. K. (2024). Capital asset pricing model: A renewed application on S&P 500 index. Asian Journal of Economics, Business and Accounting, 24(6), 226–239. Cited by: 4