This article explores how differential equations, SIR-like population models, and reinforcement‑learning frameworks can quantitatively describe the onset, persistence, and spread of addictive behaviors, offering insights into feedback loops, neural adaptation, and optimal intervention strategies.
Pearl’s do‑calculus provides a mathematical framework to derive intervention effects from causal graphs, enabling researchers to predict how policy changes—such as increased vaccination rates—affect disease incidence, with three core rules guiding causal reasoning, substitution, and counterfactual analysis.
This article details the ICA-Var multivariate analysis pipeline, which leverages unsupervised machine learning and independent component analysis to extract co‑variant mutation patterns from wastewater sequencing data, enabling earlier and more accurate detection of SARS‑CoV‑2 variants compared with existing tools like Freyja.
This article explores how the Extended Parallel Processing Model (EPPM) explains differing mask‑wearing behaviors during the COVID‑19 pandemic, presents a simple mathematical model quantifying threat and efficacy perceptions, and derives practical public‑health insights from the analysis.
Logical models provide a visual framework linking inputs, activities, outputs, outcomes, and impacts, while mathematical models use equations to quantify relationships; together they enable systematic planning, evaluation, and prediction of complex projects such as school nutrition interventions, enhancing decision‑making across public health and education.
This article analyzes Google and Baidu fever‑related search indices for Taiwan, Hong Kong, Japan and several Chinese cities, defines an "excess fever search index cumulative area" metric, and demonstrates how its growth can estimate epidemic peak and end dates, offering a data‑driven tool for public‑health forecasting.
The article examines the Global Hunger Index’s methodology and recent ranking, highlighting India’s severe hunger classification, the index’s three‑step calculation process, and the broader significance of composite evaluation models for assessing nutrition, health, and development across nations.
Tencent joins the Linux Foundation Public Health initiative, open‑sourcing tools like the international COVID‑19 health module, an AI self‑triage assistant, and a severe‑case prediction model with Zhong Nanshan’s team, empowering developers, hospitals, and public‑health agencies worldwide to combat the pandemic.
The February 12, 2020 COVID‑19 daily report details a sharp rise in national confirmed cases to 59,804, explains the inclusion of clinically diagnosed cases in Hubei, presents provincial death and cure rates, and offers extensive data‑driven analyses of trends, infection coefficients, and regional transmission dynamics.
The article explains a Java epidemic simulation that models virus transmission with normal distribution, demonstrates how parameters like movement intention, hospital bed capacity, response time, and incubation period affect outbreak dynamics, and emphasizes staying home as the most effective protection.
This article documents the collection, cleaning, and statistical analysis of publicly released second‑category vaccine procurement data from 28 Chinese provinces, highlighting data sources, processing steps with pandas, top manufacturers, regional market shares, and the challenges encountered during the effort.
