Antimicrobial Resistance (AMR)-Forecast for 30 countries in Europe
Antimicrobial resistance (AMR) has emerged among the most serious public health issues, prompting the creation of worldwide implementation strategies. In this study, the application of seasonal or time-series approaches was suggested for forecasting the unknown percentages of resistance towards othe...
| Main Authors: | , |
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| Format: | Article |
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Zibeline International
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/95920/ |
| _version_ | 1848862253545160704 |
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| author | Mohd Jaffar, Mai Zurwatul Ahlam Zailan, Aimi Najwa |
| author_facet | Mohd Jaffar, Mai Zurwatul Ahlam Zailan, Aimi Najwa |
| author_sort | Mohd Jaffar, Mai Zurwatul Ahlam |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Antimicrobial resistance (AMR) has emerged among the most serious public health issues, prompting the creation of worldwide implementation strategies. In this study, the application of seasonal or time-series approaches was suggested for forecasting the unknown percentages of resistance towards other microbial groups for seven microorganisms. Annual data between 2012 and 2019 were acquired from European Centre for Disease Prevention, and Control (ECDC) reports. Microsoft Excel’s function, ‘FORECAST.ETS’, was used for prediction purposes. Then, a brief analysis was done on the forecasted results. Forecasting AMR’s percentage makes it possible to develop a strategy for dealing with any situation that may emerge. |
| first_indexed | 2025-11-15T13:14:05Z |
| format | Article |
| id | upm-95920 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:14:05Z |
| publishDate | 2021 |
| publisher | Zibeline International |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-959202023-03-21T04:16:12Z http://psasir.upm.edu.my/id/eprint/95920/ Antimicrobial Resistance (AMR)-Forecast for 30 countries in Europe Mohd Jaffar, Mai Zurwatul Ahlam Zailan, Aimi Najwa Antimicrobial resistance (AMR) has emerged among the most serious public health issues, prompting the creation of worldwide implementation strategies. In this study, the application of seasonal or time-series approaches was suggested for forecasting the unknown percentages of resistance towards other microbial groups for seven microorganisms. Annual data between 2012 and 2019 were acquired from European Centre for Disease Prevention, and Control (ECDC) reports. Microsoft Excel’s function, ‘FORECAST.ETS’, was used for prediction purposes. Then, a brief analysis was done on the forecasted results. Forecasting AMR’s percentage makes it possible to develop a strategy for dealing with any situation that may emerge. Zibeline International 2021 Article PeerReviewed Mohd Jaffar, Mai Zurwatul Ahlam and Zailan, Aimi Najwa (2021) Antimicrobial Resistance (AMR)-Forecast for 30 countries in Europe. Science Heritage Journal, 5 (2). 44 - 48. ISSN 2521-0858; ESSN: 2521-0866 https://www.researchgate.net/publication/357424862_ANTIMICROBIAL_RESISTANCE_AMR-FORECAST_FOR_30_COUNTRIES_IN_EUROPE 10.26480/gws.02.2021.44.48 |
| spellingShingle | Mohd Jaffar, Mai Zurwatul Ahlam Zailan, Aimi Najwa Antimicrobial Resistance (AMR)-Forecast for 30 countries in Europe |
| title | Antimicrobial Resistance (AMR)-Forecast for 30 countries in Europe |
| title_full | Antimicrobial Resistance (AMR)-Forecast for 30 countries in Europe |
| title_fullStr | Antimicrobial Resistance (AMR)-Forecast for 30 countries in Europe |
| title_full_unstemmed | Antimicrobial Resistance (AMR)-Forecast for 30 countries in Europe |
| title_short | Antimicrobial Resistance (AMR)-Forecast for 30 countries in Europe |
| title_sort | antimicrobial resistance (amr)-forecast for 30 countries in europe |
| url | http://psasir.upm.edu.my/id/eprint/95920/ http://psasir.upm.edu.my/id/eprint/95920/ http://psasir.upm.edu.my/id/eprint/95920/ |