[et_pb_section fb_built=”1″ _builder_version=”4.27.4″ _module_preset=”default” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” custom_padding=”||2px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.8″ _module_preset=”default” min_height=”66px” global_colors_info=”{}”]<\/p>\n
Authors:<\/span><\/span><\/strong><\/span>\u00a0<\/span><\/span><\/span>Teng Li<\/span>\u00a0<\/span>&<\/span>\u00a0<\/span>Francesca Giardini<\/span><\/span>, Department of\u00a0<\/span><\/span>Sociology\/ICS, University of Groningen.<\/span><\/span>\u00a0<\/span><\/p>\n How\u00a0<\/span>do<\/span>\u00a0vulnerability,\u00a0<\/span>as represented by<\/span>\u00a0<\/span>health literacy<\/span>,<\/span>\u00a0<\/span>and<\/span>\u00a0social influence<\/span>\u00a0<\/span>affect how\u00a0<\/span>people<\/span>\u00a0react<\/span>\u00a0during a health crisis<\/span>?<\/span>\u00a0And how\u00a0<\/span>do various communication\u00a0<\/span>strategies\u00a0<\/span>impact adherence to public health guidelines<\/span>?<\/span><\/span>\u00a0<\/span><\/strong><\/p>\n The study<\/span>,<\/span>\u00a0<\/span>titled<\/span>\u00a0<\/span>\u201c<\/span><\/span>Unraveling the Role of Vulnerability and Norm Compliance in Societal Preparedness in Health Crises<\/span><\/span>\u201d<\/span>,\u00a0<\/span><\/span>dives into these questions using\u00a0<\/span><\/span><\/span>PrepHealth<\/span><\/span><\/strong>, an\u00a0<\/span><\/span><\/span>Agent-Based Model (ABM)<\/span><\/span><\/strong>\u00a0<\/span>created as part of the\u00a0<\/span><\/span><\/span>PREPSHIELD project<\/span><\/span><\/strong>.<\/span><\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/doi.org\/10.1007\/978-3-032-31712-4_26″ url_new_window=”on” button_text=”READ FULL PUBLICATION” _builder_version=”4.27.8″ _module_preset=”default” custom_button=”on” button_text_color=”#D7F1F5″ button_bg_color=”#272361″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”|auto|1px|auto||” custom_padding=”||50px|||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.8″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″ custom_margin=”||24px|||”]<\/p>\n PrepHealth models how individuals with diverse backgrounds engage and respond to health crisis measures. It makes a distinction between\u00a0<\/span>vunerable and non-vulnerable individuals<\/span><\/b>, considering aspects like health literacy, risk tolerance, social networks, social influence and how people inetract with institutions.\u00a0<\/span>\u00a0<\/span><\/p>\n This simulation explores how social interactions can shape individual behaviors and looks at how different communication and intervention methods might impact compliance with public health guidelines.<\/span>\u00a0<\/span><\/p>\n This method is crucial for grasping health crises as\u00a0<\/span>complex social occurences<\/span><\/b>, where personal choices are driven not just by individual views but also by interactions with others and institutions.<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.8″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n The\u00a0simulations brought to light several key dynamics.<\/span>\u00a0<\/span><\/p>\n Without any institutional intervention, opinions often aligned towards the\u00a0<\/span>initial majority viewpoint<\/span><\/b>. When vulnerable individuals with less health literacy made up the majority, the overall compliance\u00a0in the model dropped. On the flip side, if non-vulnerable individuals with higher health literacy were the majority, the model suggested a rise in compliance levels.<\/span>\u00a0<\/span><\/p>\n The simulations also analysed various communication techniques.\u00a0<\/span>Fear-based messaging<\/span><\/b>\u00a0might boost compliance quickly, but that effect tends to fade. On the other hand,<\/span>\u00a0trust-building strategies<\/span><\/b>\u00a0led to more lasting compliance under the studied conditions.<\/span>\u00a0<\/span><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.8″ _module_preset=”default” custom_margin=”||-4px|||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″ custom_padding=”||15px|||”]<\/p>\n Interestingly, the model indicated that higher trust levels could speed up the acceptance of recommendations, though in some cases, high trust with limited institutional outreach might initially cause more division before opinions eventually aligned.<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.8″ _module_preset=”default” custom_margin=”||-4px|||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″ custom_padding=”||17px|||”]<\/p>\n These insights stress the need to account for\u00a0<\/span>population diversity<\/span><\/b>\u00a0when gearing up for and managing health crises. Different groups have unique levels of health literacy, varying access to information, and distinct ways they engage with institutions and social networks.<\/span>\u00a0<\/span><\/p>\n The study highlights the urgency of boosting health literacy, especially among vulnerable populations, while making sure that crisis communications also reach those less connected to\u00a0institutional messaging channels.<\/span>\u00a0<\/span><\/p>\n Instead of a one-size-fits-all approach, grasping these differences can help create more focused and inclusive preparedness strategies.<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.8″ _module_preset=”default” custom_margin=”||-4px|||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n PrepHealth is still being refined, and future development will add more elements like cognitive biases, risk perception, and social influence mechanisms. The model\u2019s growth and validation will also involve surveys, interviews, stakeholder feedback, and real-world observations.<\/span>\u00a0<\/span><\/p>\n This ongoing\u00a0work aims to better represent complex behavioral and social dynamics as we prepare for future health emergencies.<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/doi.org\/10.1007\/978-3-032-31712-4_26″ url_new_window=”on” button_text=”READ FULL PUBLICATION” _builder_version=”4.27.8″ _module_preset=”default” custom_button=”on” button_text_color=”#D7F1F5″ button_bg_color=”#272361″ hover_enabled=”0″ global_colors_info=”{}” custom_margin=”21px|||||” sticky_enabled=”0″][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.7″ _module_preset=”default” background_color=”#2BB673″ width=”75%” module_alignment=”center” custom_padding=”4px||22px|||” border_radii=”on|10px|10px|10px|10px” border_color_all=”#D7F1F5″ box_shadow_style=”preset1″ box_shadow_color=”#D7F1F5″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.8″ _module_preset=”default” background_color=”#2BB673″ custom_margin=”10px|10px|10px|10px|false|false” custom_padding=”20px|20px|4px|20px|false|false” hover_enabled=”0″ border_width_all=”1px” border_color_all=”#D7F1F5″ border_style_all=”none” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n T<\/span>his publication plays a part in PREPSHIELD\u2019s larger mission to establish more inclusive, evidence-based and citizen-focused strategies for health crisis preparedness. By utilizing agent-based<\/span>\u00a0modeling to investigate how vulnerability, health literacy, social interactions and institutional actions shape collective behaviour, the study offers another angle<\/span>\u00a0on the complexity of societal preparedness.<\/span><\/span>\u00a0<\/span><\/span><\/p>\n [\/et_pb_text][et_pb_button button_url=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjkifX0=@” button_text=”LEARN MORE ABOUT OUR PROJECT” button_alignment=”center” _builder_version=”4.27.8″ _dynamic_attributes=”button_url” _module_preset=”default” custom_button=”on” button_text_color=”#272361″ button_bg_color=”#D7F1F5″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” background_color=”#D7F1F5″ min_height=”549px” custom_margin=”50px|auto||auto||” custom_padding=”||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.7″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][dsm_blog_carousel posts_offset=”1″ include_categories=”13″ use_excerpt=”off” spacing=”22″ _builder_version=”4.27.4″ _module_preset=”default” background_color=”#D7F1F5″ width=”85%” module_alignment=”center” global_colors_info=”{}”][\/dsm_blog_carousel][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Authors:\u00a0Teng Li\u00a0&\u00a0Francesca Giardini, Department of\u00a0Sociology\/ICS, University of Groningen.\u00a0 How\u00a0do\u00a0vulnerability,\u00a0as represented by\u00a0health literacy,\u00a0and\u00a0social influence\u00a0affect how\u00a0people\u00a0react\u00a0during a health crisis?\u00a0And how\u00a0do various communication\u00a0strategies\u00a0impact adherence to public health guidelines?\u00a0 The study,\u00a0titled\u00a0\u201cUnraveling the Role of Vulnerability and Norm Compliance in Societal Preparedness in Health Crises\u201d,\u00a0dives into these questions using\u00a0PrepHealth, an\u00a0Agent-Based Model (ABM)\u00a0created as part of the\u00a0PREPSHIELD project.\u00a0Understanding complex social dynamics PrepHealth models how individuals with diverse backgrounds engage and respond to health crisis measures. It makes a distinction between\u00a0vunerable and non-vulnerable individuals, considering aspects like health literacy, risk tolerance, social networks, social influence and how people inetract with institutions.\u00a0\u00a0 This simulation explores how social interactions can shape individual behaviors and looks at how different communication and intervention methods might impact compliance with public health guidelines.\u00a0 This method is crucial for grasping health crises as\u00a0complex social occurences, where personal choices are driven not just by individual views but also by interactions with others and institutions.\u00a0What did the simulations reveal?\u00a0 The\u00a0simulations brought to light several key dynamics.\u00a0 Without any institutional intervention, opinions often aligned towards the\u00a0initial majority viewpoint. When vulnerable individuals with less health literacy made up the majority, the overall compliance\u00a0in the model dropped. On the flip side, if non-vulnerable individuals with higher health literacy were […]<\/p>\n","protected":false},"author":3,"featured_media":1860,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[13,14],"tags":[],"class_list":["post-1859","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/posts\/1859","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/comments?post=1859"}],"version-history":[{"count":5,"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/posts\/1859\/revisions"}],"predecessor-version":[{"id":1867,"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/posts\/1859\/revisions\/1867"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/media\/1860"}],"wp:attachment":[{"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/media?parent=1859"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/categories?post=1859"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prepshield-project.eu\/de\/wp-json\/wp\/v2\/tags?post=1859"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Understanding complex social dynamics<\/span><\/span><\/h3>\n
What did the simulations reveal?<\/span><\/span>\u00a0<\/span><\/h3>\n
Enhancing inclusive preparedness<\/span><\/span>\u00a0<\/span><\/h3>\n
Moving from modelling to future applications<\/span><\/span><\/h3>\n
Contributing to PREPSHIELD’s approach<\/span><\/span><\/h3>\n
MISSED OUR LATEST UPDATES?<\/h3>\n