Modeling of Pneumococcal and Respiratory Syncytial Virus Pneumonia: An Epidemiological Review, with Statistical Inference
Rupchand Sutradhar, Anuj Mishra, Malay Banerjee, Subhra Sankar Dhar

TL;DR
This review discusses recent epidemiological models for pneumonia caused by S. pneumoniae and RSV, emphasizing their role in understanding disease dynamics and guiding vaccination strategies.
Contribution
It synthesizes recent advancements in deterministic and stochastic models for these diseases, highlighting their application in vaccine impact assessment and policy formulation.
Findings
Models effectively capture disease transmission and vaccine efficacy.
Modeling has informed immunization strategies to reduce pneumonia burden.
Recent methodologies enhance understanding of population immunity.
Abstract
Infectious diseases continue to pose significant public health challenges worldwide, requiring effective prevention and control strategies to mitigate their negative impact. Infectious diseases can be broadly classified into two groups: vaccine-preventable diseases (e.g., measles, polio, influenza, hepatitis B, pneumonia) and vaccine-non-preventable diseases (e.g., HIV/AIDS). Vaccine-preventable disease models are one of the essential tools for understanding infectious disease dynamics, evaluating intervention strategies, and guiding public health policies. In this review article, we explore the recent advancements in modeling two particular vaccine-preventable infectious diseases. Here, we consider both deterministic and stochastic models to comprehensively capture the complexity of disease transmission, vaccine efficacy, and population-level immunity. We highlight the application of…
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