State health policies and interest in PrEP: evidence from Google Trends

AIDS Care ◽  
2021 ◽  
pp. 1-9
Author(s):  
Bita Fayaz Farkhad ◽  
Mohammadreza Nazari ◽  
Man-pui Sally Chan ◽  
Dolores Albarracín
Author(s):  
Alina Husain

In response to COVID-19, many state governments chose to halt elective or nonessential procedures to free up personal protective equipment (PPE) for frontline medical workers. To help guide and inform state health policies, an emerging body of literature developed which contextualized the role of abortions as time-sensitive, essential medical procedures. Despite this, Texas, Indiana, and Iowa issued executive orders restricting elective or nonessential procedures, and included abortions among the medical services being banned. This content analysis analyzed executive orders and subsequent communications from officials in all three states to identify rhetorical patterns and the language that was used to connect the coronavirus pandemic to abortion care. The major themes that emerged were the expansion of gubernatorial powers due to the declaration of an emergency, connecting abortion services to PPE shortages, classifying abortions as “elective” procedures, differentiating medical and surgical abortions, and purposeful avoidance of the actual term “abortion.” The findings indicate that governors in each of these three states used COVID-19 to further restrict abortion access, and they were able to use rhetoric to create a distinct narrative and justify their policies.


2018 ◽  
Vol 88 (10) ◽  
pp. 776-784 ◽  
Author(s):  
Madeleine M. Toups ◽  
Valerie G. Press ◽  
Anna Volerman

1990 ◽  
Vol 20 (3) ◽  
pp. 131 ◽  
Author(s):  
William W. Lammers ◽  
Phoebe S. Liebig

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 855-855
Author(s):  
J.L. Angel ◽  
R.J. Angel ◽  
S. Caldera

2021 ◽  
Vol 2090 (1) ◽  
pp. 012018
Author(s):  
Talia Tene ◽  
Marco Guevara ◽  
Jiří Svozilík ◽  
Cristian Vacacela Gomez

Abstract In this study is presented a mathematical approach that can be used to estimate the variability of the growth rate coefficient (λ), the total number of cases, and the midpoint of maximum infection due to the COVID-19 pandemic. The different parameters are quantified using one-year data set reported for Ecuador (from March 2020 to February 2021) and the (discrete or differential) logistic model. In particular, the results evidence that the most critical months of the pandemic in Ecuador were March and April 2020. In the following months, the outbreak continues with low growth rate values but in a variable way, which can be attributed to state health policies and the social behavior of the population. The estimated number of confirmed cases is around 409 K agrees with the data reported at the end of May 2021, validating the proposed mathematical approach.


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