Predictive Forecasting of Care Load & Placement Demand-01

The Unaccompanied Alien Children (UAC) Program, administered by the U.S. Department of Health and Human Services (HHS), operates in a high-uncertainty environment where sudden shifts in border activity and enforcement policies can rapidly alter the volume of children in federal care. Historically, decision-making relied heavily on descriptive, retrospective reporting rather than proactive forecasting.This research paper develops and evaluates a predictive-analytics pipeline using 1,075 continuous daily observations spanning January 2023 through December 2025 to forecast daily HHS care load and discharge (placement) demand.

Authors

Publication Details

Journal
Figshare
Published
2026-10-27
DOI
https://doi.org/10.6084/m9.figshare.34815015
Primary Topic
Forecasting Techniques and Applications
Type
preprint
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Predictive Forecasting of Care Load & Placement Demand-01

Rimsha Naaz
2 links
Figshare
Forecasting Techniques and Applications
preprint

Predictive Forecasting of Care Load & Placement Demand-01

Rimsha Naaz
preprint en

Abstract

The Unaccompanied Alien Children (UAC) Program, administered by the U.S. Department of Health and Human Services (HHS), operates in a high-uncertainty environment where sudden shifts in border activity and enforcement policies can rapidly alter the volume of children in federal care. Historically, decision-making relied heavily on descriptive, retrospective reporting rather than proactive forecasting.This research paper develops and evaluates a predictive-analytics pipeline using 1,075 continuous daily observations spanning January 2023 through December 2025 to forecast daily HHS care load and discharge (placement) demand.

Figshare
Good health and well-being
Forecasting Techniques and Applications
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Predictive Forecasting of Care Load & Placement Demand-01 — Rimsha Naaz · Figshare (2026) | TGRS Research Map | TGRS