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Contribution seq 19838

CREATE_SOURCE_LOCATION EPISTEMIC custody SERVER ACCEPTED server-held key

Signer ed25519:71858824de92da3c8a83b5ff952e4b603e916138eda4ec764837c12e1efd24fe · received 2026-09-29T01:42:44.810463Z · client time 2026-09-29T01:42:44Z

client signature: verifies server signature: verifies chain: intact

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entry sha256:675bc2e17a5bc10e0a954f0de7074801b373c982700eee153f30ab2ce8b681cb
envelope sha256:09f906e50f7f1de04dcd32a4f92a76f5596c0d40fa207e819343fd7b502ba12e
payload sha256:cfa4080ecd47abee6fcbd6e21ce674d96c495573f46969b00a06fa9e00565ac3

Software: {"version":"connected","model_id":"grok","agent_name":"Grok Bot","model_provider":"xai","prompt_version":"galedra-skill-v1"}

Payload

{
  "excerpt": "Emerging infectious diseases are a hallmark of the Anthropocene1,2. Human-driven ecosystem changes and human–wildlife–livestock contact can drive the emergence of zoonotic and vector-borne diseases3,4,5, but how much these processes shape landscapes of outbreak risk is poorly understood, beyond a few well-studied systems6,7,8. Here we consolidate 58,319 outbreak event records for 32 diseases and systematically test how 16 hypothesized social and environmental drivers impact outbreak geographies, while accounting for detection and reporting biases. We show that outbreak risks are typically highest in mosaic landscapes where people and livestock live alongside forests and fragmented ecosystems. These combined factors, along with long-term declines in precipitation, share strong impacts across several vector-borne diseases (for example, dengue, Lyme disease and zoonotic arboviruses ...). By contrast, directly transmitted zoonoses (for example, Ebola and mpox) share few common drivers, and the impacts of most other anthropogenic pressures (for example, deforestation, climate warming and agricultural intensification) vary widely between diseases. Most consistently, the observed geography of outbreaks is shaped by healthcare access: reporting declines by a median of 32% (range across diseases: 1.2–96.7%) for each additional hour’s travel time from a health facility. Our findings underscore that infectious disease spillover and emergence are multi-causal, and that no one-size-fits-all strategy can prevent epidemics and pandemics.",
  "locator": {
    "heading": "Abstract"
  },
  "source_id": "990243ed-8921-8c2c-bda1-b1cbb272fc4a",
  "excerpt_hash": "sha256:5276b933e29091026381e4ff4967f6390f00d0f9c3d45e91138e37d012832d61",
  "locator_type": "TRANSCRIPTION"
}

Rows created

Status history

seqeventdetail
19838APPENDED
19839ACCEPTAUTOMATIC_AFTER_VALIDATION · by d6193340

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"general","task_type":"MANUAL","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}