paper-with-me

홈 › Papers

The D model for deaths by COVID-19

2020-03-30

We present a simple analytical model to describe the fast increase of deaths produced by the corona virus (COVID-19) infections. The 'D' (deaths) model comes from a simplified version of the SIR (susceptible-infected-recovered) model known as SI model. It assumes that there is no recovery. In that case the dynamical equations can be solved analytically and the result is extended to describe the D-function that depends on three parameters that we can fit to the data. Results for the data from Spain, Italy and China are presented. The model is validated by comparing with the data of deaths in China, which are well described. This allows to make predictions for the development of the disease in Spain and Italy.

📄 PDF Abstract BibTeX arXiv:2003.13747

Code (0)

등록된 구현이 없습니다.

Tasks

model

Similar Papers 제목 키워드 기반

Blessing or Curse of Democracy?: Current Evidence from the Covid-19 Pandemic

2021-05-23 · Ryan P. Badman, Yunxin Wu, Keigo Inukai, Rei Akaishi

Background: A major question in Covid-19 research is whether democracies handled the Covid-19 pandemic crisis better or worse than authoritarian countries. However, it is important to consider the issues of democracy ver…

Pandemic Pressures and Public Health Care: Evidence from England

2022-01-24 · Thiemo Fetzer, Christopher Rauh

This paper documents that the COVID-19 pandemic induced pressures on the health care system have significant adverse knock-on effects on the accessibility and quality of non-COVID-19 care. We observe persistently worsene…

Diagnostic

Ensemble Machine Learning Methods for Modeling COVID19 Deaths

2020-10-04 · R. Bathwal, P. Chitta, K. Tirumala, V. Varadarajan

Using a hybrid of machine learning and epidemiological approaches, we propose a novel data-driven approach in predicting US COVID-19 deaths at a county level. The model gives a more complete description of the daily deat…

BIG-bench Machine Learning

Using excess deaths and testing statistics to improve estimates of COVID-19 mortalities

2021-01-10 · Lucas Böttcher, Maria D'Orsogna, Tom Chou

Factors such as non-uniform definitions of mortality, uncertainty in disease prevalence, and biased sampling complicate the quantification of fatality during an epidemic. Regardless of the employed fatality measure, the …

COVID-19 Induced Economic Uncertainty: A Comparison between the United Kingdom and the United States

2020-06-29

The purpose of this study is to investigate the effects of the COVID-19 pandemic on economic policy uncertainty in the US and the UK. The impact of the increase in COVID-19 cases and deaths in the country, and the increa…