Background: **As strikingly shown** by the **series** of **shocks—** H1N1 influenza, MERS-CoV, Ebola, Zika, and most **recently** the SARS-CoV-2 **epidemic** , which **claimed** more than 1.2 million **lives** in the United States and **caused** an **projected** $14 trillion in combined direct and indirect economic **damage—the emergence and re-emergence of new infectious diseases is an ongoing and increasing danger to U** . **S. public health security. These repeated cautions notwithstanding** , the United States **still lacks** a **totally** integrated, real-time national infectious disease early warning **system able to identify new** pathogen signals with the speed and **spatial** resolution **needed** for **successful** pre-epidemic **response** . This **study offers** and **assesses** an Integrated Early Warning and Containment System (IEWACS) framework **meant** to **methodically improve** U.S. **capability** for early **identification** , prevention, and **management** of **new** infectious diseases **by combining** digital epidemiology, genomic surveillance, community health informatics, and cross-sector coordination **tools** . A mixed-methods **technique using** narrative systematic review, expert consensus analysis, and scenario-based simulation modeling was **used** . **Synthesized were** seven federal policy documents, four **overseas epidemic** response case studies **, and eighty-one peer-reviewed articles** . **Using** epidemiological **data** from U.S. **epidemic** histories (2009–2024) **, simulation modeling—minimal, moderate, and full deployment—estimated expected** detection acceleration and containment **effectiveness** across three IEWACS implementation **circumstances** . Stakeholder **views** were **included by means of organized** synthesis of **openly accessible** expert testimony **submitted** to HHS, CDC, and Congressional hearings on pandemic preparedness **from** 2020–2025. **Outcomes** : **Compared to baseline systems, full** IEWACS **installation** was **expected** to **cut** mean time from pathogen emergence to confirmed public health **warning** by 8.3 days (95% CI: 5.1–11.5 days) **—** a **decrease** that, applied **retroactively** to the SARS-CoV-2 emergence timeline, would have **allowed significant** containment intervention **roughly** two incubation cycles ahead of the first confirmed U.S. case cluster. **Integrating genomic** surveillance was **found to be** the single **best** – **yielding** component **for detection improvement** , **lowering the expected 3.2 days** from a historical **average** of 16 days. **Integrated** with wastewater epidemiology and emergency department chief complaint data, **community-based digital symptom surveillance added a** 4.1-day **detecting edge** over clinical laboratory-dependent **methods only** . **Finally,** : **Next** -generation U.S. infectious disease early warning **is well-founded and operationally actionable thanks to the IEWACS framework** . Its **implementation calls for** legislative **funding** in CDC Core **Capabilities** , **growth** of the National Wastewater Surveillance System, **speed-up** of whole-genome sequencing integration across public health **labs** , and **creation** of a National Digital Epidemiology Center with real-time data aggregation **power** . The **next pandemic’s** human and **financial** cost of delayed **diagnosis** will **exceed** the **expense of developing** the infrastructure that could **stop** it.