{"id":202,"date":"2024-04-18T16:53:20","date_gmt":"2024-04-18T15:53:20","guid":{"rendered":"https:\/\/medicine.st-andrews.ac.uk\/igh-draft\/?page_id=202"},"modified":"2024-04-23T11:12:49","modified_gmt":"2024-04-23T10:12:49","slug":"care","status":"publish","type":"page","link":"https:\/\/medicine.st-andrews.ac.uk\/igh\/research\/antimicrobial-resistance\/care\/","title":{"rendered":"CARE"},"content":{"rendered":"

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COVID-19 and Antimicrobial Resistance in East Africa \u2013 impact and response<\/strong><\/h3>\n

[\/et_pb_text][et_pb_text admin_label=”Intro” _builder_version=”4.24.3″ _module_preset=”default” header_4_line_height=”1.2em” global_colors_info=”{}”]<\/p>\n

There is a growing worry that knock-on effects originating from the response to COVID-19 will cause greater threats to human health in the future. One such area is antimicrobial resistance (AMR) caused by the overuse of antibiotics (AB).<\/p>\n

Responding to COVID-19, governments have imposed restrictions on everyday life to stop the virus spreading. Whilst these may be successful in combating the virus, they are changing the way people seek medical help for infections, and the way in which people use ABs when they feel ill.<\/p>\n

In order to help make sure that ABs retain their effectiveness, we need to understand more about how COVID-19 is directly and indirectly impacting on AB use and availability in communities. To do this we are going to build on existing studies in Tanzania and Uganda (HATUA<\/a>) and explore three interconnected AMR domains (Figure 1<\/strong>).<\/p>\n

We will enrol patients who have symptoms of common diseases caused by bacteria, and find out about how they seek treatment and get and use ABs. In their communities, we will find out about the availability of ABs by interviewing doctors and sellers of ABs, and more widely, we will find out how community members have received and responded to health messages on COVID-19. Using this information we are able to assess change in the situation by comparing with our pre-COVID-19 research information from the same locations. This will help identify where behaviours have changed and whether antibiotics are been used unnecessarily, so that steps and measures can be identified and introduced that can help communities use antibiotics more effectively, and therefore reduce the risk of increasing AMR.<\/p>\n

[\/et_pb_text][et_pb_image src=”https:\/\/medicine.st-andrews.ac.uk\/igh-draft\/wp-content\/uploads\/sites\/67\/2024\/04\/CARE-chart.jpg” title_text=”CARE-chart” _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/medicine.st-andrews.ac.uk\/igh-draft\/wp-content\/uploads\/sites\/67\/2024\/04\/CARE-logo.png” title_text=”CARE-logo” _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.23.1″ _module_preset=”default” background_color=”#f1f1f1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.23.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.23.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Title” _builder_version=”4.24.3″ _module_preset=”default” header_font=”|700|||||||” header_2_font=”|700|||||||” header_3_font=”|700|||||||” header_3_font_size=”33px” global_colors_info=”{}”]<\/p>\n

Team<\/h3>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ use_custom_gutter=”on” gutter_width=”1″ _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.3″ _module_preset=”default” custom_margin=”||10px||false|false” global_colors_info=”{}”]<\/p>\n

Principle Investigator<\/h4>\n

[\/et_pb_text][et_pb_text admin_label=”Text – Matthew” _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n