Surveillance design and evaluation
Indicator-based reporting, sentinel sites and event-based signals are combined, and each stream is evaluated for sensitivity, timeliness, completeness and representativeness against agreed surveillance attributes.
GCRI · Health Nexus
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. Surveillance, outbreak investigation and burden estimation turn scattered reports into evidence that public health authorities can act on, with delays and biases stated.
Epidemiology studies the distribution and determinants of health and disease in populations. It provides the evidence used to detect outbreaks, estimate burden and evaluate interventions. In health and biosecurity, epidemiological evidence informs preparedness, resource allocation and the economic consequences of disease. It shows how health shocks interact with travel, labour, supply chains and public finance. The canonical description is on STEM Commons.
Indicator-based reporting, sentinel sites and event-based signals are combined, and each stream is evaluated for sensitivity, timeliness, completeness and representativeness against agreed surveillance attributes.
Delay distributions estimated from past reports adjust recent counts for cases not yet reported, so the latest weeks are shown with their uncertainty rather than as an artificial decline.
Expected service use and outcomes are modelled from trends before a shock and compared with observed data, separating the indirect harm of interrupted care from the direct effects of the shock.
Population density, daytime surface heat and haze over Africa, from NASA GIBS. Each layer carries its own date.
Nexşeya înteraktîf JavaScript hewce dike; lîsteya qatan û çavkanî li jêr in.
Qat 3
Rûbirûbûna jîngehî, ji bo vê rûpelê
Klavye, dema ku nexşe di fokusê de ye
Ctrl an ⌘ bigire û bizivirîne da ku nêzîk bikî
Ya herî dawî ya heyî
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Wêneyên herî nû yên NASA tê barkirin.
Bikişîne da ku bilivîne. Ctrl an ⌘ û zivirandin, pincandin an bişkojkan ji bo nêzîkkirinê; ji bo nirxên di bin nîşanderê de li ser bisekine; vegerandin vedigere herêmê.
Environmental exposure, framed on Africa.Berhemên peyk û modelê wekî NASA diweşîne, her yek bi dîroka xwe. Nîşander in, ne nirxandinên tu cihî ne.
Qat û dîrok
Datasets and records used by epidemiology and public health science on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Dane | Rol | Nîşan |
|---|---|---|
| Notifiable disease reporting pergalan | Case counts by place, time and person | REPORTED |
| Sentinel influenza and respiratory surveillance | Trends under stable case definitions | ÇAVDÊRÎKIRÎ |
| Vital registration | Mortality baselines and excess deaths | Statîstîkên weşandî |
| Household and health surveys | Prevalence and coverage with sampling weights | TEXMÎNKIRÎ |
| Routine health information systems | Service volumes and facility reporting | REPORTED |
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Health · Epidemiology for health security · Run R-8417
| Rt | 1.3 | 0.84 | 1.6 |
| Doubling time (days) | 18 | 4 | 29 |
| Reporting fraction | 0.4 | 0.2 | 0.9 |
Findings are checked through replication, sensitivity analyses and comparison of independent surveillance streams. Transmission models are assessed by out-of-sample forecasting of case counts.
| Kontrol bikin | How it is done |
|---|---|
| Surveillance attribute review | Sensitivity, timeliness, completeness and representativeness are assessed against established surveillance evaluation guidelines |
| Independent stream comparison | Trends in notifications are compared with laboratory, sentinel and mortality data before a change is described |
| Case definition stability | Changes in definitions, testing or reporting are logged and their effect on trends assessed |
| Out-of-sample scoring | Transmission models are scored on periods they were not fitted to |
Reporting delays, under-ascertainment and confounding bias estimates. Behaviour change during outbreaks alters the parameters models rely on.
An outbreak seeded in one place spreads through a small-world network by the share of contacts people make elsewhere; play it to see the order of arrival and how the timing of measures moves the peak. Teaching model with stated illustrative values, not a prediction. The map on this page shows Africa; the model itself is not tied to a place.
Kontrol
Xwendin
| Roj | Enfeksiyonên nû ji bo her 1,000 | Vegirtiyên kumulatîf (%) |
|---|---|---|
| 0 | 0.00 | 0.0 |
| 17 | 0.02 | 0.0 |
| 34 | 0.24 | 0.2 |
| 51 | 0.74 | 1.1 |
| 68 | 1.45 | 2.9 |
| 85 | 2.33 | 6.2 |
| 102 | 2.95 | 10.8 |
| 119 | 3.07 | 16.0 |
| 136 | 3.12 | 21.2 |
| 153 | 3.42 | 26.7 |
| 170 | 3.83 | 32.9 |
| 187 | 4.01 | 39.6 |
| 204 | 3.66 | 46.2 |
| 221 | 2.71 | 51.7 |
| 238 | 1.57 | 55.2 |
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium
Assembled from the Nexus Standards area profile Health security and One Health: the hazards it names, the pergalan and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
Metirsî
Pergal û girêdan
Kontrol
NS-0 Destûr û prensîbNS-3 UNIyên tomara xetereyê (rêzimanî, nexşeya veguhastina ji pergala kevin, desthilata veqetandinê)NS-9 UNI yên çarçoveyî (belavkirin, mînak, mînakên bernameyê)NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)NS-11 Piştrastkirin û çavdêrî (delîl, erêkirin, çavdêriya lihevhatina zero-trust)NRS-H83 Malbata metirsiyê: Têkçûna kapasîteya pergala tenduristiyê (NHS-1 health.system)NRS-H42 Malbata metirsiyê: Enfeksiyonên mirovî yên kêm û domdar (NHS-1 health.other-human)NRS-H41 Malbata metirsiyê: Derbasbûna ji heywanan bo mirovan (NHS-1 health.zoonotic)NRS-H43 Malbata metirsiyê: Şewbaxên heywanan di xwedîkirina heywanan û avçandiniyê de (NHS-1 health.animal-health)NRS-D3 Bersiva mirovî û başbûna berxwedêrNRS-H46 Malbata metirsiyê: Zirara jîngehî û ya berheman li mirovan (NHS-1 health.harm)Çavdêrî
Erdnîgariya mînakê
Health Nexus stewards epidemiology and public health science for the Consortium and reviews how it is applied across platforms.
The sectors pandemic touches and how strongly they depend on each other: what a study has to observe and model together.
Çarçoveyekê hilbijêrin
Sektor · PandemîStres
Stûn · PandemîKPI
Di vê çarçoveyê deGirêdayîbûn an radestkirin, giran bi hêztir eLi derveyî vê çarçoveyê
Sala bernameyêHemû qonax
Çarçove
Pandemî
Nebûna karmendan ji klînîkan berbi xebata torê, lojîstîk û kedên çandiniyê belav dibe.
W · E · I · F · H · B
Xetere
Li goşeyek, xetek an rêzek bigerin da ku wê li ser her du aliyan bişopînin.
Rê
Applied to pandemic
L · F · U · S · R · A
Bersiv
Nirxa hêvîkirî
Li stûnek, xetek an rêzek bigerin da ku bixwînin ka çawa tê sepandin.
A: kaskadeyek hînkirinê (şok 0.6, qezenc 0.35, çar dor) li ser nirxên hînkirinê yên ji bo herêmeke bajarî ya tîpîk, ne pîvandin. B: sepanên nimûneyî û KPI ya ku her stûn bersiva wê dide; nirx pîvanên weşandî ne, bi çavkanî, ne pêşbînî. Bûyerên vekirî: NASA EONET, zindî.
Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.
How far the outlook for epidemiology for health security could spread, shown as ranges rather than a single line.
rêzeya Pergalên Stratejîk is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.
Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.
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