10.1016/S2214-109X(20)30540-4

10.1016/S2214-109X(20)30539-8

10.31234/osf.io/2qya8

Despite continued transmission of SARS-CoV-2 and sustained recommendations to wear protective face coverings, many people remained reluctant to comply throughout the early months of the pandemic. In the present study we surveyed an international cohort of participants on three different occasions from July to August, 2020 (N = 695) to examine the relative contribution of several factors in explaining variation in mask wearing behavior across a range of routine and leisure activities. We examine the role of COVID-19 prevalence, perceived risk of infection, COVID-19 related stress, demographics, time orientation, and several mask wearing attitudes and intentions. We find that COVID-19-related stress and the intention to protect oneself were reliably associated with more mask wearing across contexts, while other factors, such as anxiety caused by others’ mask wearing and the intention to wear masks to protect others, were context dependent. We discuss potential avenues for future research on possible positive and negative indirect effects of COVID-19-related stress, time orientation, and political orientation with regard to mask wearing behavior.

10.31234/osf.io/hw9gf

10.31234/osf.io/w9rde

10.31234/osf.io/2u6wq

10.31234/osf.io/682su

10.31234/osf.io/3csuh

10.1126/science.abh2644

10.1136/bmj.n913

10.31234/osf.io/unm7r

10.31234/osf.io/9s58f

10.1016/S2468-2667(21)00055-4

10.31234/osf.io/y3h7n

10.1073/pnas.1912444117

10.1101/2021.04.06.21254882

10.1136/bmj.n657

https://doi.org/10.1073/pnas.2022376118

https://doi.org/10.1038/s41577-021-00544-9

10.31234/osf.io/7w9re

10.31234/osf.io/eycmj

10.1001/jama.2021.3370

10.31234/osf.io/rvgs7

10.1136/bmj.n898

10.1016/S0140-6736(97)04334-1

10.1093/shm/5.3.369

10.1017/s0025727300048225

10.1136/bmj.325.7361.430

https://doi.org/10.1016/S2215-0366(21)00084-5

10.1001/jamapediatrics.2021.0161

10.1101/2021.03.31.21254687

10.31234/osf.io/zu2a3

10.31234/osf.io/zn7vt

10.31234/osf.io/m5zv9

10.31234/osf.io/fmu9w

10.31234/osf.io/a65tm

10.1016/S2214-109X(21)00026-7

10.1111/eci.13554

10.1016/S0140-6736(21)00762-5

10.1016/S2665-9913(21)00080-1

10.1016/S2468-2667(21)00054-2

10.1080/02786826.2021.1877257

10.31234/osf.io/f4qbz

10.31234/osf.io/mzasw

10.31234/osf.io/jvspx

10.1038/s43588-021-00048-5

10.3389/fpsyg.2020.594086

10.3389/fpsyg.2020.631994

10.31234/osf.io/n5h8t

10.1126/science.abe8372

10.1101/2020.05.13.20101253

10.1101/2021.03.07.21253094

10.1038/s41586-021-03470-x

10.31234/osf.io/x2qv3

10.1038/d41586-020-00502-w

10.31234/osf.io/5sbzy

10.1073/pnas.2104155118

10.1038/s41598-021-85987-9

10.1016/S1473-3099(21)00149-3

10.31222/osf.io/cd5j9

10.1016/j.vaccine.2010.12.109

10.1016/j.vaccine.2010.04.043

10.1177/0002764220910245

10.1016/j.jhealeco.2019.102284

10.1371/journal.pone.0089177

10.1080/21645515.2017.1321182

10.2105/AJPH.2011.300133

10.1016/j.vaccine.2013.07.068

10.1056/NEJMp2021971

10.1136/bmj.f794

Because the novel influenza A (H1N1) virus [2009 influenza A (H1N1)] was identified in April 2009, two separate influenza vaccines were distributed in the United States in 2009–10 season: a seasonal vaccine and an influenza A (H1N1) 2009 monovalent vaccine (2009 H1N1 vaccine) [1, 2]. To estimate national and state level influenza vaccination coverage from August 2009 through May 2010, CDC used combined data from the Behavioral Risk Factor Surveillance System (BRFSS) and the National 2009 H1N1 Flu Survey (NHFS). This report describes national findings from these surveys and updates previously published interim 2009–10 seasonal [3] and 2009 H1N1 [4] influenza vaccination coverage estimates. The interim estimates were based on vaccinations reported through the end of January 2010 using interviews conducted through February 2010. The final estimates in this report include vaccinations reported through May 2010 based on interviews through June 2010.

10.31234/osf.io/wu6sn

10.1001/jama.2020.3151

10.31234/osf.io/26qde

10.31234/osf.io/f4nqt

10.31234/osf.io/nkvhs

10.31234/osf.io/mby5u

10.1038/s42256-021-00307-0

10.1001/jama.2021.4388

10.31234/osf.io/dcgpy

10.31234/osf.io/5guc3

10.31234/osf.io/uh4y6

10.31234/osf.io/eaz3k

10.1136/bmj.k3948

10.3201/eid1201.051007

10.1126/science.abb8923

10.1016/j.vaccine.2010.10.063

10.1186/1471-2334-10-99

10.1038/s41586-021-03398-2

10.31234/osf.io/89cnw

10.31234/osf.io/tm8jy

10.31234/osf.io/y4svc

10.31234/osf.io/sjfbn

10.1371/journal.pone.0208601

10.31234/osf.io/vscz4

https://doi.org/10.1016/S0140-6736(21)00384-6

10.31234/osf.io/3vs4b

10.1080/23743603.2021.1884495

https://doi.org/10.1073/pnas.2021258118

10.31234/osf.io/tbrea

10.31234/osf.io/edw47

10.31234/osf.io/y9mnb

10.31234/osf.io/b34aj

10.31234/osf.io/6zxfe

We explore the affective correlates of food insecurity and contrast with affective correlates of other variables, such as difficulty in paying household expenses, non-current payment status on rent and mortgage payments, loss (or expected loss) of employment income, and high likelihood of imminent eviction. Specifically, we compute associations between these variables recently analyzed and reported, in aggregate, by Bloomberg (and originally collected by the Census Bureau in February, 2021), and affective wellbeing data (collected by Gallup during 2020 after mass lockdowns in the United States). The data span fifteen metropolitan areas. In particular, we find (with 95 percent confidence) that loneliness is positively and highly correlated with food insecurity. Anger is highly correlated with several of the variables mentioned earlier, although not at a high enough significance. In this brief report, we report these preliminary associations and comment on possible implications, along with a set of research questions that are suggested by these early results.

10.31234/osf.io/4kb6v

10.31234/osf.io/z7mjc

10.31234/osf.io/nvdy6

10.31234/osf.io/5ejwu

10.31234/osf.io/r8uaz

10.31234/osf.io/y8zvg

10.31234/osf.io/xchj6

10.1073/pnas.2019034118

10.31234/osf.io/jyx6q

10.31234/osf.io/m9afs

10.1186/1471-2458-11-15

10.1016/j.vaccine.2010.09.104

10.1016/j.vaccine.2020.01.072

10.1016/S0140-6736(15)61152-7

10.5993/AJHB.41.2.12

10.1007/s10995-010-0693-5

10.1111/1467-9566.12541