Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [disease]

31 questions
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How could one (tentatively) estimate the actual number of COVID-19 infections in an area, using hard data like age-adjusted death rate?

A big problem with the current COVID-19 epidemic is the difficulty of getting tested (due to mild symptoms and lack of testing kits). This makes it impossible for patients with little or no symptoms to know how likely it is to be infected and…
Yiannis Dermitzakis
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7
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1 answer

Disease forecasting - counts or rates?

I'm developing a forecasting model for an infectious disease for a hospital and wanting to understand if I should use disease counts or rates (based on population or total clinic visits). What are the implications of using one approach over another…
Kate
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Associating a probability to disease propagation in regions of a map

I am trying to model disease propagation. I am considering a map separated into regions. One region is infected. There is data over time, with the number of people travelling into and out of the infected region and which region they travel to (a…
Vass
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How do I calculate and compare incidence of infection between age-groups

We work on cervical cancer detection and we started accumulating data in 2006 by performing HPV testing on all our samples. We have accumulated a data set with almost 400,000 women. Data enters the database on a daily basis. Most women come for a…
JP Bogers
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1 answer

What approach could be used for modelling virus infections?

I'm a physics graduate who ended up doing infosec so most of the statistics I ever learned is useful for thermodynamics. I'm currently trying to think of a model for working out how many of a population of computers are infected with viruses, though…
user209
3
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Expected number of infections given one root infection

So I'm trying to find a way to calculate expected social cost (from COVID-19 deaths) if I take a trip. (I've made a much more detailed post here.) I've gotten parts of a calculation that seem reasonable (e.g. how probable it is I'll get C19, how…
Erhannis
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Appropriate approach for identifying outliers in health board performances with COVID-19 mortality rates

I am relatively new to statistics but am very keen to learn the best approaches with working examples as I prefer to learn this way. We are clearly living in an unprecedented time with COVID-19 and I felt this might be a suitable subject to apply…
AWGIS
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3
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1 answer

Understanding beta/tau in the SIR model of Infectious disease for COVID modeling

Inspired by the SARS-CoV-2 pathogen and COVID-19, I am writing an agent-based simulation to allow the modeling of heterogeneous populations (e.g., some folks abide by quarantine, some resist, or some are more likely to die, some aren't). Naturally,…
Kevin
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How to tell a method is improving the detection of a disease?

We have two methods, A and B, for detecting a disease. Out of a 1000 samples with unknown prevalence, A detects 100 samples (10%). On the remaining 900 negatives, we apply the additional method B, and detect a further 20. As far as we can tell, all…
January
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Using patient characteristics to predict disease and confront with per hospital real cases

We have a large, nationwide prevalence study about the prevalence of healthcare-associated infections (HAI). We need to see if hospitals have more or less HAI than expected by their patients' characteristics. We estimated the per-patient HAI risk…
Bakaburg
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2
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Estimating True COVID-19 infection rate from Positivity Rate?

Like many, I've been watching and tinkering with COVID-19 statistics for the past 8+ months. One thought I keep coming back to is that there must be some smart Bayesian approach to blending (a) known infection rate (positive tests / population) and…
Chad Gray
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Regression analysis including variables changing over time

In glaucoma management, we study the trend of a global index variable representing the entire visual field of a glaucoma patient. This concern the Mean Defect of visual sentitivity (=MD), expressed in decibels plotted against time (years). This is…
Francisco Javier
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PCA (with phi/tetrachoric correlation matrix) or LTM to study the correlation of (true) dichotomous variables?

I am doing a study were I have to initially do an exploratory analysis by grouping diseases that coexist in my study population. For that I have x diseases/variables that are (true) dichotomous (presence or absence of the diagnosis). The purpose of…
user102074
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Confusion related to Kulldorff's scan statistics

I was reading this paper related to Bayesian spatial scan statistics where I came across the Kulldorff's scan statistics. I have attached the screenshot of the paper. My objective is to find a location of potential disease outbreak. I have a little…
user34790
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Estimating future graph size given partial graph size

(This question compares a branching-fiction novel to a disease, bear with me.) This is for fun, my friends and I are writing a branching-fiction novel: A black node is a concluding chapter ("The End"), cyan is an existing chapter, and red is a…
tunesmith
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