{"id":110,"date":"2024-04-17T13:36:43","date_gmt":"2024-04-17T12:36:43","guid":{"rendered":"https:\/\/medicine.st-andrews.ac.uk\/igh-draft\/?page_id=110"},"modified":"2024-04-25T11:33:17","modified_gmt":"2024-04-25T10:33:17","slug":"hatua","status":"publish","type":"page","link":"https:\/\/medicine.st-andrews.ac.uk\/igh\/research\/antimicrobial-resistance\/hatua\/","title":{"rendered":"HATUA"},"content":{"rendered":"

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Holistic Approach to Unravel Antibacterial Resistance in East Africa<\/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

The potential harm that increasing levels of antibacterial resistance (ABR) will have on human health is vast.<\/h4>\n

It is predicted that by 2050, 10 million lives per year and a cumulative 100 trillion US Dollars of economic output may be lost worldwide. In order to address this looming problem a co-ordinated global response is required to try and halt the rise of ABR. HATUA is an interdisciplinary study which is exploring the burden and drivers of antibacterial resistance (ABR) associated with urinary tract infections (UTIs) across East Africa.<\/p>\n

Whilst the biological drivers of ABR in pathogens are well explored, the extent to which these are modulated by human behaviour in and around antibiotics is less understood; cultural, social, economic and clinical factors potentially play a part in shaping the way people source, consume, use and distribute antibiotics. The interdisciplinary consortium brings together clinical microbiological, pathogen genomic, social science and modelling data to create a unique combined ABR data set, with which to investigate the drivers of resistance.<\/p>\n

The project is establishing a surveillance network across Uganda, Kenya and Tanzania and will recruit 1800 UTI positive patients from nine study areas.<\/h4>\n

We are conducting quantitative interviews in the clinic, and then the homestead, and recording the treatment seeking behaviour of individuals and influencing factors. Whole genome sequencing will be used to characterize the pathogens we isolate from the patients, investigating their evolution and the genetic basis of resistance in UTI causing bacteria. Combining this social science data with the microbiology and genomic pathogen data, we will construct patient pathways that capture the treatment-seeking and antibiotic-use behaviour for our cohort. Using this construct, we aim to identify ways in which people can be influenced to follow more antibiotic friendly pathways, and disrupt the prevailing spread of ABR across the region.<\/p>\n

\u200b<\/p>\n

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St Andrews 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