J
Julia Dunn
Researcher at National Institutes of Health
Publications - 3
Citations - 195
Julia Dunn is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Mental health & Mental distress. The author has an hindex of 2, co-authored 3 publications receiving 46 citations.
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The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic.
Aki Nikolaidis,Diana Paksarian,Lindsay Alexander,Jacob Derosa,Julia Dunn,Dylan M. Nielson,Irene Droney,Minji Kang,Ioanna Douka,Evelyn J. Bromet,Michael P. Milham,Argyris Stringaris,Kathleen R. Merikangas,Kathleen R. Merikangas +13 more
TL;DR: The CoRonavIruS health and impact survey (CRISIS) was developed for use as an easy to implement and robust questionnaire covering key domains relevant to mental distress and resilience during the COVID-19 pandemic.
Posted ContentDOI
The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic.
Aki Nikolaidis,Diana Paksarian,Lindsay Alexander,Jacob Derosa,Julia Dunn,Dylan M. Nielson,Irene Droney,Minji Kang,Ioanna Douka,Evelyn J. Bromet,Michael P. Milham,Argyris Stringaris,Kathleen R. Merikangas +12 more
TL;DR: It is shown that pre-existing mood states, perceived COVID risk, and lifestyle changes are strongly associated with negative mood states during the pandemic in population samples of adults and in parents reporting on their children in the US and UK.
Journal ArticleDOI
Factors associated with the decline of malaria in Myanmar's Ayeyarwady Region between 2013 and 2017.
Sarah Gallalee,Abigail Ward,Moe Moe Aye,Nang Khaing Zar Aung,Julia Dunn,Stephen Lavenberg,Christopher Lourenço,Jillian Dunning,Aung Thi,Arnaud Le Menach,Myat Min Tun +10 more
TL;DR: In this paper, quantitative and qualitative information were assessed to explore potential factors responsible for the decline of malaria in Ayeyarwady Region of Myanmar, and the authors used Poisson regression models that adjust for correlation were used to analyze the association between annual malaria case numbers with malaria intervention factors at the township level.