[et_pb_section fb_built=”1″ _builder_version=”4.14.2″ _module_preset=”default” positioning=”none” z_index=”2″ custom_margin=”|20px||20px|false|true” custom_margin_tablet=”|20px||20px|false|true” custom_margin_phone=”|10px||10px|false|true” custom_margin_last_edited=”on|phone” custom_padding=”||62px|||” border_radii=”off|20px|20px||” border_radii_tablet=”on|20px|20px|20px|20px” border_radii_phone=”on|15px|15px|15px|15px” border_radii_last_edited=”on|phone” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_3,1_3,1_3″ module_id=”section1″ _builder_version=”4.14.2″ _module_preset=”default” width=”100%” width_tablet=”” width_phone=”90%” width_last_edited=”on|phone” custom_margin=”5px|auto||auto||” custom_padding=”8px|||||” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.24.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/odalerts.cste.org\/wp-content\/uploads\/2026\/03\/respondbreadcrumb.png” 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Start with descriptive statistics to summarize what you know. Break down the data by key variables such as:<\/p>\n
Use visualizations (e.g., heat maps, line graphs) to identify clusters or alerts.<\/p>\n
[\/et_pb_accordion_item][et_pb_accordion_item title=”Test Risk Factors” open_toggle_text_color=”#FFFFFF” closed_toggle_text_color=”#FFFFFF” _builder_version=”4.14.2″ _module_preset=”default” border_width_bottom=”0.8px” border_color_bottom=”#64748B” global_colors_info=”{}” toggle_text_color=”#FFFFFF” open=”off”]<\/p>\n
Test Risk Factors<\/strong><\/p>\n Use statistical methods to explore potential associations and risk factors:<\/p>\n \n Note:<\/strong> Lack of statistical significance doesn\u2019t mean a factor isn\u2019t important\u2014use qualitative data and local knowledge to complement your findings.<\/p>\n \n If your data allows, consider formal study designs such as:<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Analyze Multiple Data Sources” open_toggle_text_color=”#FFFFFF” closed_toggle_text_color=”#FFFFFF” _builder_version=”4.14.2″ _module_preset=”default” border_width_bottom=”0.8px” border_color_bottom=”#64748B” global_colors_info=”{}” toggle_text_color=”#FFFFFF” open=”off”]<\/p>\n To fully understand the anomaly, analyze and triangulate data from a variety of sources:<\/p>\n \n Cross-referencing data sources can help verify trends and provide context behind the numbers.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Real-World Examples: Outbreak Investigation in Action” open_toggle_text_color=”#FFFFFF” closed_toggle_text_color=”#FFFFFF” _builder_version=”4.14.2″ _module_preset=”default” border_width_bottom=”0.8px” border_color_bottom=”#64748B” global_colors_info=”{}” toggle_text_color=”#FFFFFF” open=”off”]<\/p>\n Explore how other jurisdictions have evaluated and investigated overdose anomalies:<\/p>\n For more real-world examples, view Use Cases in the Resources page<\/a>.<\/span><\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.14.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.14.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Mapping and Responding to Overdose in Rhode Island” use_icon=”on” font_icon=”||fa||900″ icon_color=”#071018″ icon_placement=”left” content_max_width=”846px” _builder_version=”4.14.2″ _module_preset=”default” header_font=”Poppins|600|||||||” header_text_color=”#071018″ body_font=”Poppins||||||||” body_text_color=”#071018″ background_color=”#fccd47″ custom_margin=”|278px||278px|true|true” custom_padding=”27px|23px|27px|23px|true|true” border_radii=”on|15px|15px|15px|15px” border_width_all=”1px” border_color_all=”#071018″ global_colors_info=”{}”]<\/p>\n Rhode Island is divided into 11 overdose regions<\/span>,<\/span><\/b>\u00a0each with its own anomaly threshold based on the previous year of data. RIDOH tracks these regions daily and uses a\u00a0<\/span>Levels of Response<\/span><\/a>\u00a0plan to guide the resources deployed and the partners and outreach involved, ranging from alerts for sudden spikes to strategies for sustained high burden. When thresholds are exceeded, RIDOH activates its Overdose Spike\u00a0Alert Notification\u00a0System, which alerts local leaders, public safety, healthcare providers, and community partners via email list serv about a sudden increase in nonfatal overdoses. Responses may include expanded outreach, harm reduction efforts, and emergency community meetings. Higher rates of overdose burden in a region\u00a0warrant\u00a0a greater response level. For instance, a region with a \u2018Sustained High Rate of Overdose Burden\u2019 may involve community partners for increased outreach and\u00a0convene\u00a0an emergency community meeting. This response plan drives\u00a0timely\u00a0action and helps integrate overdose anomaly data into real-time public health action.<\/span>\u00a0<\/span><\/p>\n\n
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