Article

Annual prevalence of non-communicable diseases and identification of vulnerable populations following the Fukushima disaster and COVID-19 pandemic

2022-05-20

Abstract excerpt

Disasters, pandemics, and their response measures can have secondary effects on the physical and psychological health of affected populations. Identifying populations vulnerable to these effects is beneficial for promoting effective health and prevention strategies. Using health insurance receipt data from 2009 to 2020, we assessed changes in prevalence of major non-communicable diseases (NCDs), including hyperten...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b2752382-5755-5ad0-a1f4-a31d80bd7577
DOI: 10.1101/2022.05.18.22275293

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Annual prevalence of non-communicable diseases and identification of vulnerable populations following the Fukushima disaster and COVID-19 pandemicDOI 10.1101/2022.05.18.22275293Read

PROBABILITY OF HOSPITALIZATION AND DEATH AMONG COVID-19 PATIENTS WITH COMORBIDITY DURING OUTBREAKS OCCURRING IN MEXICO CITYSemantic proximity Read

The impact of COVID-19 on the lives of Canadians with and without non-communicable chronic diseases: Results from the iCARE StudySemantic proximity Read

Cause-Specific Excess Mortality in the US During the COVID-19 PandemicSemantic proximity Read

Multilayer factors associated with excess all-cause mortality during the Omicron and non-Omicron waves of the COVID-19 pandemic: time series analysis in 29 countriesSemantic proximity Read

The epidemiological transition of years of life lost due to early death from common events in the northeast of IranSemantic proximity Read

Impact of COVID-19 on the health of the general and more vulnerable population and its determinants: Health care and social survey-ESSOC, study protocolSemantic proximity Read

Pandemic inequity in a megacity: a multilevel analysis of individual, community and health care vulnerability risks for COVID-19 mortality in Jakarta, IndonesiaSemantic proximity Read

Who is most at risk of dying if infected with SARS-CoV-2? A mortality risk factor analysis using machine learning of COVID-19 patients over time in a large Mexican populationSemantic proximity Read

The association between non-communicable diseases and COVID-19 severity and mortality among infected hospitalized healthcare workers in 29 countries: a cohort studySemantic proximity Read

A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in MexicoSemantic proximity Read

Suicide and mental health during the COVID-19 pandemic in JapanSemantic proximity Read