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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-nvodxig9.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nvodxig9.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nvodxig9.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nvodxig9.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nvodxig9.nxe :where(ul,ol){padding-left:20px}#nxe-nvodxig9.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nvodxig9.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nvodxig9.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nvodxig9.nxe svg{display:none}#nxe-nvodxig9.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nvodxig9.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nvodxig9.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"ledger\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G04 \u00b7 EVIDENCE \u00b7 methods<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Health Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Methods and uncertainty<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Methods and uncertainty<\/h1><p class=\"nx-tagline\">The methods Health Nexus relies on, the assumptions they carry and the limits of what they can show.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/health-nexus\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/health-nexus\/research\/\">Back to Research and evidence<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"ledger\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Health Nexus<\/strong><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">Fields<\/span><span class=\"nx-register-v\">Health and biosecurity<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">STEM methods<\/span><span class=\"nx-register-v\">7 canonical methods applied<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Topics<\/span><span class=\"nx-register-v\">8 subject pages<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Counterparts<\/span><span class=\"nx-register-v\">2 platforms in shared fields<\/span><\/div><\/li><li><div><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Publisher<\/span><span class=\"nx-register-v\">The Global Centre for Risk and Innovation<\/span><\/div><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 Established \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-s-3-sec\"><span>02<\/span>Draft to published version<\/a><a href=\"#nx-sec-field\"><span>03<\/span>Access to care in Indonesia<\/a><a href=\"#nx-sec-methods\"><span>04<\/span>The methods in use<\/a><a href=\"#nx-sec-pg-method-register\"><span>05<\/span>Each method, its role in this field\u2026<\/a><a href=\"#nx-sec-pg-uncertainty\"><span>06<\/span>Where uncertainty in health analysis\u2026<\/a><a href=\"#nx-sec-uncertainty\"><span>07<\/span>How uncertainty is reported<\/a><a href=\"#nx-sec-terms\"><span>08<\/span>Terms used on this page<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"health\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">The Health Nexus methods page sets out the methods the platform relies on, among them epidemiology and public health science, molecular and life sciences, and probability and statistics, with their assumptions, validation and limits. Each analysis lists its assumptions and data, reports ranges and confidence beside central estimates, is checked against observations or other models, and states what it cannot show.<\/p><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gcri\/G04\/research\/methods\/#search\" data-nxf-title=\"Search publications\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Draft to published version.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Canvas<\/strong> \u00b7 draft to published version<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g04-research-methods-source-passport-t nx-dag-g04-research-methods-source-passport-d\" 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id=\"nx-dag-g04-research-methods-source-passport-t\">Methods and uncertainty: from a source to a labelled evidence record<\/title><desc id=\"nx-dag-g04-research-methods-source-passport-d\">A source is registered with its licence and steward, checked for quality and coverage, labelled by evidence class, versioned and published with a passport; corrections create a new version. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>How a finding is reviewed before it is published. Design, not a record.<\/span><\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"health\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Access to care in Indonesia.<\/h2><p class=\"nx-lede\">How far each division sits from a large city, with the roads and airports that carry patients and supplies, shown for Indonesia as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"indonesia:health\" data-ramp=\"red\" data-basis=\"case\" data-focus=\"0 0 2000 1000|1646 420 1928 782|834 221 1040 487|715 364 914 535\"><figure class=\"nx-fk\" data-fk=\"map-indonesia-health\" data-ramp=\"red\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>How far each division sits from a large city, with the roads and airports that carry patients and supplies.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G04\/research\/methods\/#map\" data-nxf-title=\"Health Nexus live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Health Nexus \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">The methods in use.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/epidemiology\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Epidemiology and public health science<\/span><span class=\"nx-mledger-role\">Surveillance design and evaluation \u00b7 Nowcasting under reporting delay<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/epidemiology\/\" aria-label=\"Epidemiology and public health science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/life-sciences\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Molecular and life sciences<\/span><span class=\"nx-mledger-role\">Genomic surveillance of pathogens \u00b7 Cross-species linkage in One Health<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/life-sciences\/\" aria-label=\"Molecular and life sciences: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Survey-weighted and small-area estimation \u00b7 Expected baselines for excess mortality<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Probability and statistics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/complex-systems\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Complex systems and agent-based modelling<\/span><span class=\"nx-mledger-role\">Contact and mobility networks \u00b7 Cascades across health and infrastructure<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/complex-systems\/\" aria-label=\"Complex systems and agent-based modelling: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/causal-inference\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Causal inference and impact evaluation<\/span><span class=\"nx-mledger-role\">Evaluating public health measures \u00b7 Exposure-response for heat and air<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\" aria-label=\"Causal inference and impact evaluation: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/data-engineering\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">06<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Data engineering, interoperability and stewardship<\/span><span class=\"nx-mledger-role\">Linking health information systems \u00b7 Privacy-preserving publication<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/data-engineering\/\" aria-label=\"Data engineering, interoperability and stewardship: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/biotechnology\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">07<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Biotechnology platforms<\/span><span class=\"nx-mledger-role\">Countermeasure manufacturing capacity \u00b7 Diagnostic readiness<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/biotechnology\/\" aria-label=\"Biotechnology platforms: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G04\/research\/methods\/#evidence\" data-nxf-title=\"Evidence records\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-method-register\" class=\"nx-section\" data-hue=\"health\" data-variant=\"split\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Method register<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Each method, its role in this field and how it is checked.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><ul class=\"nx-dir\" data-cols=\"3\" aria-label=\"Method\"><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/epidemiology\/\"><span class=\"nx-dir-name\">Epidemiology<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Epidemiology is the core science of this platform: it describes who becomes ill, where and when, identifies the determinants of disease, and evaluates what prevents it.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Surveillance attribute review; Independent stream comparison; Case definition stability; Out-of-sample scoring<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/life-sciences\/\"><span class=\"nx-dir-name\">Life sciences<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Molecular and life sciences characterise the pathogens, hosts and vectors behind health threats: their genomes, how they evolve, how they resist drugs and how they move between species.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">External quality assessment; Sampling representativeness; Phylogenetic robustness<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/probability-statistics\/\"><span class=\"nx-dir-name\">Probability statistics<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Probability and statistics turn incomplete, delayed and biased health data into estimates with stated uncertainty.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Design-based variance; Posterior predictive checks; Sensitivity to priors and baselines<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/complex-systems\/\"><span class=\"nx-dir-name\">Complex systems<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Complex systems methods show how health risk emerges from interactions: people mixing and moving, hospitals sharing patients and staff, supply networks sharing suppliers, and health services depending on power and water.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Pattern-oriented validation; Global sensitivity analysis; Structural alternatives<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/causal-inference\/\"><span class=\"nx-dir-name\">Causal inference<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Causal inference asks whether an intervention or exposure actually changed health outcomes, compared with what would otherwise have happened.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Pre-trend and placebo tests; Sensitivity to unmeasured confounding; Replication across settings<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/data-engineering\/\"><span class=\"nx-dir-name\">Data engineering<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Data engineering, interoperability and stewardship decide whether health evidence can be combined at all.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Reconciliation against source; Schema and terminology validation; Disclosure review; Licence and consent audit<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/therisk.global\/health-nexus\/stem\/biotechnology\/\"><span class=\"nx-dir-name\">Biotechnology<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role here<\/span><span class=\"nx-dir-v\">Biotechnology platforms determine how quickly diagnostics, vaccines and therapeutics can be developed, manufactured and delivered when a new threat appears.<\/span><\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Checks applied<\/span><span class=\"nx-dir-v\">Regulatory status verification; Input dependency tracing; Biosecurity review<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-uncertainty\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" data-variant=\"band\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Uncertainty<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Where uncertainty in health analysis comes from, and how it is shown.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Source<\/th><th>Why it matters here<\/th><th>How it is reported<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">Case ascertainment<\/td><td data-label=\"Why it matters here\">Reported cases depend on testing and care-seeking<\/td><td data-label=\"How it is reported\">Corrections for reporting, with assumptions stated<\/td><\/tr><tr><td data-label=\"Source\">Transmission parameters<\/td><td data-label=\"Why it matters here\">Estimated early in an outbreak from few data<\/td><td data-label=\"How it is reported\">Ranges, updated as data accrue<\/td><\/tr><tr><td data-label=\"Source\">Behaviour<\/td><td data-label=\"Why it matters here\">Contact patterns and compliance change during an epidemic<\/td><td data-label=\"How it is reported\">Scenarios rather than fixed parameters<\/td><\/tr><tr><td data-label=\"Source\">Health-system capacity<\/td><td data-label=\"Why it matters here\">Staffed beds differ from physical beds<\/td><td data-label=\"How it is reported\">Capacity ranges from facility data<\/td><\/tr><tr><td data-label=\"Source\">Excess mortality baselines<\/td><td data-label=\"Why it matters here\">Depend on the counterfactual model<\/td><td data-label=\"How it is reported\">Multiple baselines compared<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-p\">Health evidence is graded with GRADE where recommendations are concerned, and modelled projections are always labelled as scenarios.<\/p><\/div><\/div><\/section><section id=\"nx-sec-uncertainty\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Uncertainty<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">How uncertainty is reported.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">State assumptions<\/h3><p class=\"nx-p nx-mt-1\">Each analysis lists its assumptions and the data it depends on.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Quantify where possible<\/h3><p class=\"nx-p nx-mt-1\">Ranges and confidence are reported alongside central estimates.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Validate and compare<\/h3><p class=\"nx-p nx-mt-1\">Models are checked against observations and, where possible, against other models.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Publish limits<\/h3><p class=\"nx-p nx-mt-1\">What an analysis cannot show is stated beside what it can.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Uncertainty quantification<\/td><td data-label=\"Definition\">Characterising and propagating the uncertainties in a model to state confidence in its outputs.<\/td><\/tr><tr><td data-label=\"Term\">Sensitivity analysis<\/td><td data-label=\"Definition\">Repeating an analysis under different assumptions to show how much the result depends on them.<\/td><\/tr><tr><td data-label=\"Term\">Model validation<\/td><td data-label=\"Definition\">Comparing model predictions with independent observations to judge fitness for a stated use.<\/td><\/tr><tr><td data-label=\"Term\">Epidemiology and public health science<\/td><td data-label=\"Definition\">Epidemiology studies the distribution and determinants of health and disease in populations.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section\" data-hue=\"health\" data-variant=\"band\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Where this page's references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/www.who.int\/health-topics\/international-health-regulations\" target=\"_blank\" rel=\"noopener\"><span>International Health Regulations (2005) and amendments (WHO)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.who.int\/emergencies\/operations\/international-health-regulations-monitoring-evaluation-framework\" target=\"_blank\" rel=\"noopener\"><span>WHO Joint External Evaluation and IHR monitoring framework<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.who.int\/publications\/i\/item\/9789240059139\" target=\"_blank\" rel=\"noopener\"><span>One Health Joint Plan of Action (FAO, UNEP, WHO, WOAH)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/ghdx.healthdata.org\/\" target=\"_blank\" rel=\"noopener\"><span>IHME Global Health Data Exchange (Global Burden of Disease)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"health\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Are the methods open?<\/summary><div class=\"nx-answer\">Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-12\" class=\"nx-h3 nx-mt-2\">Around Health Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/health-nexus\/research\/sources\/\">Source and data register <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/health-nexus\/\">Health Nexus home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/health-nexus\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Health Nexus<\/span><h2 id=\"nx-close-13\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Health%20Nexus%3A%20Methods%20and%20uncertainty\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/health-nexus\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/health-nexus\/research\/methods\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/health-nexus\/research\/methods\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Are the methods open?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Method descriptions are public on the STEM Commons. 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