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...
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| Format: | Article |
| Language: | English |
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Zibeline International
2021-11-01
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| Series: | Science Heritage Journal |
| Subjects: | |
| Online Access: | https://jscienceheritage.com/archives/2gws2021/2gws2021-44-48.pdf |
| _version_ | 1818331829360394240 |
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| author | M. Z. A. M. Jaffar A. N. Zailan |
| author_facet | M. Z. A. M. Jaffar A. N. Zailan |
| author_sort | M. Z. A. M. Jaffar |
| collection | DOAJ |
| 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 | 2024-12-13T13:26:04Z |
| format | Article |
| id | doaj.art-16aa2d53092a4ed3abcd5d8ff261f630 |
| institution | Directory Open Access Journal |
| issn | 2521-0858 2521-0866 |
| language | English |
| last_indexed | 2024-12-13T13:26:04Z |
| publishDate | 2021-11-01 |
| publisher | Zibeline International |
| record_format | Article |
| series | Science Heritage Journal |
| spelling | doaj.art-16aa2d53092a4ed3abcd5d8ff261f6302022-12-21T23:44:18ZengZibeline InternationalScience Heritage Journal2521-08582521-08662021-11-0152444810.26480/gws.02.2021.44.48ANTIMICROBIAL RESISTANCE (AMR)-FORECAST FOR 30 COUNTRIES IN EUROPEM. Z. A. M. Jaffar0A. N. Zailan1Department of Mathematics and Statistics, Faculty of Science, Universiti Putra Malaysia 43400 Serdang, Selangor, MalaysiaDepartment of Mathematics and Statistics, Faculty of Science, Universiti Putra Malaysia 43400 Serdang, Selangor, Malaysia.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.https://jscienceheritage.com/archives/2gws2021/2gws2021-44-48.pdfantimicrobial resistanceantimicrobialsforecasting |
| spellingShingle | M. Z. A. M. Jaffar A. N. Zailan ANTIMICROBIAL RESISTANCE (AMR)-FORECAST FOR 30 COUNTRIES IN EUROPE Science Heritage Journal antimicrobial resistance antimicrobials forecasting |
| 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 |
| topic | antimicrobial resistance antimicrobials forecasting |
| url | https://jscienceheritage.com/archives/2gws2021/2gws2021-44-48.pdf |
| work_keys_str_mv | AT mzamjaffar antimicrobialresistanceamrforecastfor30countriesineurope AT anzailan antimicrobialresistanceamrforecastfor30countriesineurope |