scholarly journals Naming racism in the public health classroom

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243560
Author(s):  
Nadia N. Abuelezam ◽  
Andrés Castro Samayoa ◽  
Alana Dinelli ◽  
Brenna Fitzgerald

Objective The discussion of racism within undergraduate public health classrooms can be highly influenced by local and national conversations about race. We explored the impact of local and national events on students’ ability to name racism on a public health exam highlighting the impact of racism on maternal and infant health disparities for Black mothers. Methods We undertook this research within the context of an undergraduate introductory public health course at a primarily white institution in the Northeastern part of the United States. A qualitative content analysis of undergraduate student responses to a final exam question soliciting the importance of racism to health outcomes among Black mothers in the United States was undertaken. ANOVA tests were run to assess differences on naming racism, using semantic alternatives, and providing alternative explanations during three main time periods: prior to the election of the 45th president of the United States (pre-Trump), after the election (post-Trump), and after a nationally recognized racist campus incident. Results Between the pre- and post-Trump periods we see no differences in naming racism or providing alternative explanations. We do see a reduction in the proportion of students providing semantic alternatives for racism in the post-Trump period (32.2 vs. 25.2%, p = 0.034). After the racist campus incident, we see increases in the proportion of students naming race (53.6 vs. 73.8%, p = 0.021) and decreases in the proportion providing an alternative explanation (43.1 vs. 12.9%, p = 0.004), but no differences in the proportion of students who used semantic alternatives. Discussion This work lends itself to our understanding of how local climate affects public health teaching and may also influence students’ learning about important social and structural determinants of health. National and local climate should frame and guide public health teaching.

2021 ◽  
pp. 003335492097842
Author(s):  
Jo Marie Reilly ◽  
Christine M. Plepys ◽  
Michael R. Cousineau

Objective A growing need exists to train physicians in population health to meet the increasing need and demand for physicians with leadership, health data management/metrics, and epidemiology skills to better serve the health of the community. This study examines current trends in students pursuing a dual doctor of medicine (MD)–master of public health (MPH) degree (MD–MPH) in the United States. Methods We conducted an extensive literature review of existing MD–MPH databases to determine characteristics (eg, sex, race/ethnicity, MPH area of study) of this student cohort in 2019. We examined a trend in the MD community to pursue an MPH career, adding additional public health and health care policy training to the MD workforce. We conducted targeted telephone interviews with 20 admissions personnel and faculty at schools offering MD–MPH degrees in the United States with the highest number of matriculants and graduates. Interviews focused on curricula trends in medical schools that offer an MD–MPH degree. Results No literature describes the US MD–MPH cohort, and available MD–MPH databases are limited and incomplete. We found a 434% increase in the number of students pursuing an MD–MPH degree from 2010 to 2018. The rate of growth was greater than the increase in either the number of medical students (16%) or the number of MPH students (65%) alone. Moreover, MD–MPH students as a percentage of total MPH students more than tripled, from 1.1% in 2010 to 3.6% in 2018. Conclusions As more MD students pursue public health training, the impact of an MPH degree on medical school curricula, MD–MPH graduates, and MD–MPH career pursuits should be studied using accurate and comprehensive databases.


Author(s):  
Niayesh Afshordi ◽  
Benjamin Holder ◽  
Mohammad Bahrami ◽  
Daniel Lichtblau

The SARS-CoV-2 pandemic has caused significant mortality and morbidity worldwide, sparing almost no community. As the disease will likely remain a threat for years to come, an understanding of the precise influences of human demographics and settlement, as well as the dynamic factors of climate, susceptible depletion, and intervention, on the spread of localized epidemics will be vital for mounting an effective response. We consider the entire set of local epidemics in the United States; a broad selection of demographic, population density, and climate factors; and local mobility data, tracking social distancing interventions, to determine the key factors driving the spread and containment of the virus. Assuming first a linear model for the rate of exponential growth (or decay) in cases/mortality, we find that population-weighted density, humidity, and median age dominate the dynamics of growth and decline, once interventions are accounted for. A focus on distinct metropolitan areas suggests that some locales benefited from the timing of a nearly simultaneous nationwide shutdown, and/or the regional climate conditions in mid-March; while others suffered significant outbreaks prior to intervention. Using a first-principles model of the infection spread, we then develop predictions for the impact of the relaxation of social distancing and local climate conditions. A few regions, where a significant fraction of the population was infected, show evidence that the epidemic has partially resolved via depletion of the susceptible population (i.e., “herd immunity”), while most regions in the United States remain overwhelmingly susceptible. These results will be important for optimal management of intervention strategies, which can be facilitated using our online dashboard.


2020 ◽  
Vol 12 (18) ◽  
pp. 7567
Author(s):  
Yuval Arbel ◽  
Chaim Fialkoff ◽  
Amichai Kerner

Previous research demonstrates that the 1965 American immigration wave has tended to attenuate the obesity pandemic in the United States. Based on a survey carried out by the Israeli Central Bureau of Statistics (ICBS) in 2012 and 2016, we observe the correlation between BMI, age, native language, and years-since-migration to Israel. BMI (=kgm2) is a conventional measure of obesity, where BMI ≥ 25 is considered overweight and BMI ≥ 30 as type I obesity. The results indicate that compared to 11 groups of immigrants, the median BMI among native Israelis is lower. While the prevalence of overweight (BMI ≥ 25) among Hebrew speakers is below 50%, in 11 groups of immigrants, the prevalence of overweight is above 50%. A noteworthy exception is the immigrants from Ethiopia, who exhibit lower overweight prevalence compared to native Israelis and all other population groups. Finally, while male Hebrew and Russian speakers cross the overweight benchmark at the same age (35 years), native Israeli women (Hebrew speakers) cross this benchmark only when they reach 50 years (15 years after the males) and Russian women cross this benchmark only five years after the Russian men. These research findings may be of assistance in public health and culture-oriented medicine.


2020 ◽  
Author(s):  
Xiaoshuang Liu ◽  
Xiao Xu ◽  
Guanqiao Li ◽  
Xian Xu ◽  
Yuyao Sun ◽  
...  

Abstract The widespread pandemic of novel coronavirus disease 2019 (COVID-19) poses an unprecedented global health crisis. In the United States (US), different state governments have adopted various combinations of non-pharmaceutical public health interventions (NPIs) to mitigate the epidemic from February to April, 2020. Quantitative assessment on the effectiveness of NPIs is in great need to assist in guiding the individualized decision making for adjustment of interventions in the US and around the world. However, the impact of these approaches remain uncertain. Based on the reported cases, the effective reproduction number of COVID-19 epidemic for 50 states in the US was estimated. The measurement on the effectiveness of eight different NPIs was conducted by assessing risk ratios (RRs) between and NPIs through a generalized linear model (GLM). Different NPIs were found to have led to different levels of reduction in. Stay-at-home contributed approximately 51% (95% CI 46%-57%), gathering ban (more than 10 people) 19% (14%-24%), non-essential business closure 16% (10%-21%), declaration of emergency 13% (8%-17%), interstate travel restriction 11% (5%-16%), school closure 10% (7%-13%), initial business closure 10% (6%-14%), and gathering ban (more than 50 people) 6% (2%-11%). This retrospective assessment of NPIs on has shown that NPIs played critical roles on epidemic control in the US in the past several months. The quantitative results could guide individualized decision making for future adjustment of NPIs in the US and other countries for COVID-19 and other similar infectious diseases.


2020 ◽  
Vol 12 (4) ◽  
pp. 47
Author(s):  
Gary Popoli ◽  
Katelyn Curry

This study was designed to investigate differences in the number of suicides committed in the United States before, during, and after daylight savings time (DST). Conflicting results in the literature suggest both a positive and negative effect of DST in the physical, mental, behavioral aspects society. As a result, some states are proposing legislation to abolish DST while others are trying to make DST permanent. This study is designed to investigate whether DST has a positive negative, or no effect on the frequency of suicide. Archival data from a governmental public database containing the total number of suicides by year and month from 2000-2017 was used. Daylight savings time was defined as the months of March through October while non-DST consisted of the remaining 4 months. The data were organized into 3 groups of 4 months beginning in November, 2007 and ending in October, 2017. The results demonstrated a statistically significant increase in suicides during DST. Most suicides were committed during July-October (M = 74.69, SD = 68.86), compared to March-June (M = 73.56, SD = 67.89), and November-February (M = 67.00, SD = 61.41). Despite disagreement in the literature, this study would suggest eliminating DST altogether. These results support other evidence which suggest a detrimental effect of DST, especially with respect to the psychological and behavioral aspects of public health. Nevertheless, there is still a need for more research to determine the impact of these one hour time shifts in the Spring and Fall.


2021 ◽  
pp. e1-e7
Author(s):  
William Riley ◽  
Kailey Love ◽  
Jeffrey McCullough

The COVID-19 pandemic has precipitated an acute blood shortage for medical transfusions, exacerbating an already tenuous blood supply system in the United States, contributing to the public health crisis, and raising deeper questions regarding emergency preparedness planning for ensuring blood availability. However, these issues around blood availability during the pandemic are related primarily to the decline in supply caused by reduced donations during the pandemic rather than increased demand for transfusion of patients with COVID-19. The challenges to ensure a safe blood supply during the pandemic will continue until a vaccine is developed, effective treatments are available, or the virus goes away. If this virus or a similar virus were capable of transmission through blood, it would have a catastrophic impact on the health care system, causing a future public health emergency that would jeopardize the national blood supply. In this article, we identify the impact of the COVID-19 pandemic on blood supply adequacy, discuss the public health implications, propose recovery strategies, and present recommendations for preparing for the next disruption in blood supply driven by a public health emergency. (Am J Public Health. Published online ahead of print March 18, 2021: e1–e7. https://doi.org/10.2105/AJPH.2021.306157 )


Author(s):  
Amy C Sherman ◽  
Ahmed Babiker ◽  
Andrew J Sieben ◽  
Alexander Pyden ◽  
James Steinberg ◽  
...  

Abstract To assess the impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic on seasonal respiratory viruses, absolute case counts and viral reproductive rates from 2019–2020 were compared against previous seasons. Our findings suggest that the public health measures implemented to reduce SARS-CoV-2 transmission significantly reduced the transmission of other respiratory viruses.


Author(s):  
Farzana Kausar ◽  
Dr. Wajid Zulqarnain

After the 9/11 incident in the United States, a hatred gap arose between the Americans and Americans Muslims. Many Muslim stand-up comedians started their efforts to decrease this tension through humorous performances and comic screenplays. Also, Muslim comedians are neutralizing negative social discrimination between Muslims and another world to reduce the impact of Islamophobia in the world. The purpose of the study is to examine the part of Muslim comedians and the sentiments of the listeners about their stand-up humor videos. This study is the qualitative content analysis of comments on videos of two American Muslim comedians Negin Farsad and Obeidallah Dean. For data analysis, Linguistic Inquiry & Word Count (LIWC) used to analyses the positive emotions, negative emotions, and emotional tone. Findings exhibit that Muslim comedians are playing a critical part to assist the Muslim community handle with the effect of Islamophobia. The study also investigated that Muslim stand-up comedians are contributing to lessen the stereotyping discernments and disliked comments about Muslim identity globally. It is concluded that comedy has also helped in comforting the audiences that Arab and Muslims are not unpatriotic and adversarial to the United States or to another world.


2021 ◽  
pp. 1-20
Author(s):  
Haixu Xi ◽  
Chengzhi Zhang ◽  
Yi Zhao ◽  
Sheng He

Abstract Since the end of 2019, the ongoing of COVID-19 outbreak worldwide not only challenges the management capacity of governments on the public health emergency, but also tests the management capacity of governments on the public opinion and the governance capacity of dealing with social emergencies. To understand the impact on public emotion over COVID-19 related tweets posted by the major public health agency in the United States, this paper study the process and characteristics of public emotional diffusion in the tweets network by taking the four-official Twitter users of the public health system in the United States as an example. In this paper, we extract the interactions between tweets in the COVID-19-TweetIds dataset, draw the tweets diffusion network, propose a method to measure the characteristics of the emotional diffusion network, analyze the changes of the public emotional intensity and the proportion of emotional polarity, investigate the emotional influence of key nodes and users in the process of tweet emotional diffusion, and study the emotional diffusion of tweets of different tweeting time periods, topics and institutions. The results show that the emotional polarity of tweets has changed from negative to positive with the improvement of pandemic management measures. The public's emotional polarity on pandemic related topics tends to be negative, and the emotional intensity of management measures such as pandemic medical services turn from positive to negative to the greatest extent, while the emotional intensity of pandemic related knowledge changes the most. The tweets posted by the Centers for Disease Control and Prevention and the Food and Drug Administration of the United States have a broad impact on public emotions, and the emotional spread of tweets' polarity eventually forms a very close proportion of opposite emotions.


Author(s):  
Daniel Wozniczka ◽  
Hanna B. Demeke ◽  
Angela M. Thompson-Paul ◽  
Ugonna Ijeoma ◽  
Tonya Williams ◽  
...  

Context: In response to the COVID-19 pandemic, the Centers for Disease Prevention and Control (CDC) clinicians provided real-time telephone consultation to healthcare providers, public health practitioners, and health department personnel. Objective: To describe the demographic and public health characteristics of inquiries, trends, and correlation of inquiries with national COVID-19 case reports. We summarize the results of real-time CDC clinician consultation service provided during 11 March to 31 July 2020 to understand the impact and utility of this service by CDC for the COVID-19 pandemic emergency response and for future outbreak responses. Design: Clinicians documented inquiries received including information about the call source, population for which guidance was sought, and a detailed description of the inquiry and resolution. Descriptive analyses were conducted, with a focus on characteristics of callers as well as public health and clinical content of inquiries. Setting: Real-time telephone consultations with CDC Clinicians in Atlanta, GA. Participants: Health care providers and public health professionals who called CDC with COVID-19 related inquiries from throughout the United States. Main Outcome Measures: Characteristics of inquiries including topic of inquiry, inquiry population, resolution, and demographic information. Results: A total of 3154 COVID-19 related telephone inquiries were answered in real-time. More than half (62.0%) of inquiries came from frontline healthcare providers and clinical sites, followed by 14.1% from state and local health departments. The majority of inquiries focused on issues involving healthcare workers (27.7%) and interpretation or application of CDC’s COVID-19 guidance (44%). Conclusion: The COVID-19 pandemic resulted in a substantial number of inquiries to CDC, with the large majority originating from the frontline clinical and public health workforce. Analysis of inquiries suggests that the ongoing focus on refining COVID-19 guidance documents is warranted, which facilitates bidirectional feedback between the public, medical professionals, and public health authorities.


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