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Quantifying Disease Burden in Low-Resource Settings: Statistical Insights and Approaches with Model-Based Geostatistical Modeling

2025-03-17

Abstract excerpt

<title>Abstract</title> <p>Accurately quantifying disease burden is essential for guiding public health interventions and resource allocation, particularly in low- and middle-income countries (LMICs). However, LMICs often lack comprehensive and reliable disease registries, leading to biased estimates, as populations with better healthcare access tend to be overrepresented. This paper explores the application of...

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Literature Corpus work
eb3e6706-67a7-5412-a0f2-9af1ba7da603
DOI
10.21203/rs.3.rs-6213349/v1
Open publication

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Quantifying Disease Burden in Low-Resource Settings: Statistical Insights and Approaches with Model-Based Geostatistical ModelingDOI 10.21203/rs.3.rs-6213349/v1
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