[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=”1″ use_custom_gutter=”on” gutter_width=”2″ specialty=”on” parallax_method_1=”off” parallax_method_2=”off” _builder_version=”3.0.74″ transparent_background=”off” prev_background_color=”#000000″ next_background_color=”#1d1d1d”][et_pb_column type=”1_3″][et_pb_sidebar admin_label=”Left Nav Sidebar” area=”et_pb_widget_area_1″ show_border=”off” module_id=”left-nav-menu” _builder_version=”3.12.1″]<\/p>\n
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Deep dive into the UK energy sector<\/h1>\n
Electricity generating is one of the national critical infrastructure sectors, as it must maintain production irrespective of external circumstances (such as the COVID-19 pandemic).<\/p>\n
The nuclear sector provides additional complications due to the safety critical nature of their operations (e.g. inability to shut reactors down at short notice). Hence, this industry has required a comprehensive risk assessment and management approach during the pandemic in order to avoid workplace outbreaks and minimise infection rates and sickness absence within their highly specialised workforce.<\/p>\n
This integrated research study is being delivered by a multidisciplinary team of scientists from several teams\/institutions as part of the PROTECT NCS project, and comprises four research tasks:<\/p>\n
![\"Infographic](\"https:\/\/sites.manchester.ac.uk\/covid19-national-project\/wp-content\/uploads\/sites\/276\/2022\/12\/EDF-ALL.png\")
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[\/et_pb_text][et_pb_accordion admin_label=”Accordion:Task 1 Consultation with Energy Sector Workers” _builder_version=”3.17.6″][et_pb_accordion_item title=”Task 1: Consultation with Energy Sector Workers” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n
Consultations conducted between 25-28 July 2022 at 2 nuclear energy sites encompassed site-based staff and contractors. The following themes were used to prompt participant thinking and focus discussion:<\/p>\n
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- Control measures implemented to help reduce risk factors for COVID-19 transmission.<\/li>\n
- Barriers & enablers to implementing COVID-19 mitigations.<\/li>\n
- Impacts and unintended consequences to implementing COVID-19 mitigations.<\/li>\n
- Lessons learned in case of future variants and other health emergencies.<\/li>\n<\/ul>\n
![\"Flowchart](\"https:\/\/sites.manchester.ac.uk\/covid19-national-project\/wp-content\/uploads\/sites\/276\/2022\/12\/edf-blue-site-flow7.png\")
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The Images below were created at each site by a live scribe, to prompt interaction and reflect the discussions with workers:<\/p>\n
![\"Image](\"https:\/\/sites.manchester.ac.uk\/covid19-national-project\/wp-content\/uploads\/sites\/276\/2022\/12\/EDF-logo-H1-visual-V2-FINAL_site-removed.jpg\")
![\"Image](\"https:\/\/sites.manchester.ac.uk\/covid19-national-project\/wp-content\/uploads\/sites\/276\/2022\/12\/EDF-logo-H2-visual-V2-FINAL_site-removed.jpg\")
<\/p>\nAccess a larger version of these images produced by a visual scribe (PDF format)<\/a><\/span><\/p>\n
Read the final report from Task 1<\/a><\/span><\/p>\n
[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion admin_label=”Accordion:Task 2 Analysis of testing data” _builder_version=”3.17.6″][et_pb_accordion_item title=”Task 2: Analysis of testing data” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n
The company introduced a comprehensive testing and test and trace programme.\u202f This included routine testing as well as testing based on symptoms and their own track and trace procedure.\u202f<\/p>\n
This study is similar to the approach that we have taken in the COVID-OUT<\/a><\/span> and Covid At Work Study<\/span><\/a>, but provides more comprehensive and integrated information for this particular industry.<\/p>\n
We carried out a comprehensive analyses of these data to determine differences in infection rates between types of job, location, geographic and demographic and other factors, whilst taking into account potential confounders, and to compare the infection rates with the workplace control measures implemented in different physical settings.<\/p>\n
The apparent impact on workplace incidence of local incidence rates and the various intervention\/risk management measures can also be addressed.\u202f\u202f<\/p>\n
[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion admin_label=”Accordion:Task 3: Survey to assess risk factors for transmission” _builder_version=”3.17.6″][et_pb_accordion_item title=”Task 3: Survey to assess risk factors for transmission” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n
The PROTECT team carried out a survey of workers at two nuclear energy production sites using an online questionnaire.<\/p>\n
The main purpose of the survey was to collect evidence on:<\/p>\n
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- workers\u2019 views on the effectiveness of the control measures implemented by the employer to help reduce risk factors for COVID-19 transmission<\/li>\n
- the patterns of contacts amongst workers on which simulation models can be run and effectiveness of past interventions evaluated<\/li>\n<\/ol>\n
Workers\u2019 views on the effectiveness of the control measures will be reported under Task 1 while self-reported contacts between co-workers will be used by Task 4.<\/p>\n
[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion admin_label=”Accordion:Task 4: Modelling to assess effectiveness of interventions ” _builder_version=”3.17.6″][et_pb_accordion_item title=”Task 4: Modelling to assess effectiveness of interventions ” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n
Mathematical models <\/span>can help<\/span> assess the effectiveness of the control measures<\/span> in the workplace<\/span> by analysing the available testing data and <\/span>simulating<\/span> counterfactual scenarios. <\/span><\/span><\/p>\n
T<\/span>he company testing data <\/span>were analysed <\/span>and compared with the LT<\/span>LA testing data <\/span>in the local community where <\/span>most staff live <\/span>using <\/span>statistical models<\/span>;<\/span> this <\/span>analysis <\/span>has shown a general <\/span>synchroni<\/span>c<\/span>ity<\/span> in the <\/span>two surv<\/span>e<\/span>illance curves<\/span> in the post-vaccination period<\/span>. <\/span><\/span><\/p>\n
Further preliminary analysis suggests that the pattern of infections seen in the company is as expected from the force of infection in <\/span>the <\/span>community<\/span>,<\/span> meaning that transmission within the company is limited<\/span> and positive cases mostly reflect infections from outside<\/span>. <\/span><\/span><\/p>\n
More advanced <\/span>agent-based<\/span> modelling is looking <\/span>at the <\/span>pre-vaccination <\/span>period to <\/span>consider the effectiveness of testing<\/span>. <\/span><\/span> <\/span><\/p>\n
[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_text admin_label=”Text:project team” _builder_version=”3.17.6″]<\/p>\n
Project Team<\/h1>\n
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- Rebecca Canham<\/a><\/span>, Institute of Occupational Medicine<\/li>\n
- Yiqun Chen, Health and Safety Executive<\/li>\n
- Emily Christophe<\/span>r<\/a>, Institute of Occupational Medicine<\/li>\n
- Katie Clabon<\/a><\/span>, Institute of Occupational Medicine<\/li>\n
- Anna Coleman<\/span><\/a>, The University of Manchester<\/li>\n
- Paulo Feroleto<\/span><\/a>, Fero Studio Manchester<\/li>\n
- Jean-Philippe Gorce, Health and Safety Executive<\/li>\n
- Ian Hall<\/a>,<\/span> The University of Manchester<\/li>\n
- Fiona Holland, The University of Manchester<\/li>\n
- Paniz Hosseini, London School of Hygiene and Tropical Medicine (former)<\/li>\n
- Sheena Johnson<\/span><\/a>, The University of Manchester<\/li>\n
- Neil Pearce<\/a><\/span>, London School of Hygiene and Tropical Medicine<\/li>\n
- Francesca Scarabel<\/a><\/span>, University of Leeds<\/li>\n
- Martie Van Tongeren<\/a><\/span>, The University of Manchester<\/li>\n
- Nick Warren, Health and Safety Executive<\/li>\n
- Jingsi Xu, The University of Manchester<\/li>\n
- Susan Young, Institute of Occupational Medicine<\/li>\n<\/ul>\n
[\/et_pb_text][et_pb_accordion admin_label=”Accordion: Study Documents” _builder_version=”3.17.6″][et_pb_accordion_item _builder_version=”3.17.6″ title=”Study Documents including publications”]<\/p>\n
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- Task 1 report – deep dive with an electricity generating company: qualitative insights from site-based workers.<\/a><\/span><\/li>\n
- An epidemiological and modelling analysis of transmission of SARS-CoV2 at a United Kingdom electricity generating company<\/a><\/span><\/li>\n<\/ul>\n
[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][\/et_pb_section][et_pb_section bb_built=”1″ _builder_version=”3.11.1″ background_color=”#1d1d1d” prev_background_color=”#ffffff” global_module=”1519″][et_pb_row admin_label=”row” global_parent=”1519″ parallax_method_1=”off” parallax_method_2=”off” parallax_method_3=”off” module_id=”footer-row” _builder_version=”3.0.89″][et_pb_column type=”1_3″][et_pb_text admin_label=”Address Title” global_parent=”1519″ _builder_version=”3.17.6″ text_text_color=”#ffffff” background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark”]<\/p>\n
Contact Us<\/p>\n
[\/et_pb_text][et_pb_text admin_label=”Address” global_parent=”1519″ module_id=”address” module_class=”contact-us” _builder_version=”3.17.6″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]<\/p>\n
- An epidemiological and modelling analysis of transmission of SARS-CoV2 at a United Kingdom electricity generating company<\/a><\/span><\/li>\n<\/ul>\n
- Rebecca Canham<\/a><\/span>, Institute of Occupational Medicine<\/li>\n
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