Modelling of antibiotic resistance in aquatic systems: a useful tool to protect human and ecosystem health
Antibiotic resistance in aquatic systems puts the health of people and animals at risk from diseases caused by antibiotic-resistant bacteria. Scientists at the International Water Management Institute (IWMI) are working with research partners on modelling of water quality to understand how antibioti...
| Main Authors: | , |
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| Format: | Blog Post |
| Language: | Inglés |
| Published: |
International Water Management Institute
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/135092 |
| _version_ | 1855534756469407744 |
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| author | Jampani, Mahesh Mateo-Sagasta, Javier |
| author_browse | Jampani, Mahesh Mateo-Sagasta, Javier |
| author_facet | Jampani, Mahesh Mateo-Sagasta, Javier |
| author_sort | Jampani, Mahesh |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Antibiotic resistance in aquatic systems puts the health of people and animals at risk from diseases caused by antibiotic-resistant bacteria. Scientists at the International Water Management Institute (IWMI) are working with research partners on modelling of water quality to understand how antibiotic-resistant bacteria and antibiotic resistance genes are transmitted in water systems. Their findings will guide interventions aimed at reducing water pollution and the spread of antibiotic resistance. In this post, IWMI researchers Mahesh Jampani and Javier Mateo-Sagasta discuss how water quality modelling can help tackle the threat of antibiotic resistance. |
| format | Blog Post |
| id | CGSpace135092 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | International Water Management Institute |
| publisherStr | International Water Management Institute |
| record_format | dspace |
| spelling | CGSpace1350922024-10-18T13:00:49Z Modelling of antibiotic resistance in aquatic systems: a useful tool to protect human and ecosystem health Jampani, Mahesh Mateo-Sagasta, Javier antibiotic resistance genes modelling ecosystems water quality aquatic environment Antibiotic resistance in aquatic systems puts the health of people and animals at risk from diseases caused by antibiotic-resistant bacteria. Scientists at the International Water Management Institute (IWMI) are working with research partners on modelling of water quality to understand how antibiotic-resistant bacteria and antibiotic resistance genes are transmitted in water systems. Their findings will guide interventions aimed at reducing water pollution and the spread of antibiotic resistance. In this post, IWMI researchers Mahesh Jampani and Javier Mateo-Sagasta discuss how water quality modelling can help tackle the threat of antibiotic resistance. 2023-11-26 2023-12-07T04:38:58Z 2023-12-07T04:38:58Z Blog Post https://hdl.handle.net/10568/135092 en Open Access International Water Management Institute Jampani, Mahesh; Mateo-Sagasta, Javier. 2023. Modelling of antibiotic resistance in aquatic systems: a useful tool to protect human and ecosystem health. Colombo, Sri Lanka: International Water Management Institute (IWMI). |
| spellingShingle | antibiotic resistance genes modelling ecosystems water quality aquatic environment Jampani, Mahesh Mateo-Sagasta, Javier Modelling of antibiotic resistance in aquatic systems: a useful tool to protect human and ecosystem health |
| title | Modelling of antibiotic resistance in aquatic systems: a useful tool to protect human and ecosystem health |
| title_full | Modelling of antibiotic resistance in aquatic systems: a useful tool to protect human and ecosystem health |
| title_fullStr | Modelling of antibiotic resistance in aquatic systems: a useful tool to protect human and ecosystem health |
| title_full_unstemmed | Modelling of antibiotic resistance in aquatic systems: a useful tool to protect human and ecosystem health |
| title_short | Modelling of antibiotic resistance in aquatic systems: a useful tool to protect human and ecosystem health |
| title_sort | modelling of antibiotic resistance in aquatic systems a useful tool to protect human and ecosystem health |
| topic | antibiotic resistance genes modelling ecosystems water quality aquatic environment |
| url | https://hdl.handle.net/10568/135092 |
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