Makella S. Coudray

Dr. Makella S. Coudray

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2020 in European Journal of Obstetrics & Gynecology and Reproductive Biology
Verified
Journal Article
Closed access
MCMakella S. Coudray
Makella S. Coudray
PMPurnima Madhivanan
Purnima Madhivanan

1 October 2020 in Health Equity
Verified
Journal Article
Open access
ECElena Cyrus
Elena Cyrus
RCRachel Clarke
Rachel Clarke
DHDexter Hadley
Dexter Hadley
ZBZoran Bursac
Zoran Bursac
MTMary Jo Trepka
Mary Jo Trepka
EWEric F. Wagner
Eric F. Wagner
Purpose: The purpose of this ecological study was to understand the impact of the density of African American (AA) communities on coronavirus disease 2019 (COVID-19) prevalence and death rate within the three most populous counties in each U.S. state and territory (n=152). Methods: An ecological design was employed for the study. The top three most populous counties of each U.S. state and territory were included in analyses for a final sample size of n=152 counties. Confirmed COVID-19 cases and deaths that were accumulated between January 22, 2020 and April 12, 2020 in each of the three most populous counties in each U.S. state and territory were included. Linear regression was used to determine the association between AA density and COVID-19 prevalence (defined as the percentage of cases for the county population), and death rate (defined as number of deaths per 100,000 population). The models were adjusted for median age and poverty. Results: There was a direct association between AA density and COVID-19 prevalence; COVID-19 prevalence increased 5% for every 1% increase in county AA density (p<0.01). There was also an association between county AA density and COVID-19 deaths; the death rate increased 2 per 100,000 for every percentage increase in county AA density (p=0.02). Conclusion: These findings indicate that communities with a high AA density have been disproportionately burdened with COVID-19. To help develop effective interventions and programs that address this disparity, further study is needed to understand social determinants of health driving inequities for this community.

1 April 2021 in Current Opinion in Psychology
Verified
Journal Article
Open access
ECElena Cyrus
Elena Cyrus
MCMakella S. Coudray
Makella S. Coudray
SKSandra Kiplagat
Sandra Kiplagat
YMYandra Mariano
Yandra Mariano
INInes Noel
Ines Noel
EWEric Wagner
Eric Wagner
• Early age of onset of cannabis use among adolescents is associated with increased likelihood of poor cognitive function and mental health. • Persistent cannabis use is associated with decreased academic performance scores. • Racial disparities exist among adolescent cannabis users as well as the negative sequalae associated with cannabis use in this group. • Adolescents from states with medical marijuana laws were less likely to use marijuana in the past 30 days. • Mitigation methods associated with COVID-19 could directly impact cannabis use and mental health among adolescents.

19 May 2020 in medRxiv
Verified
Preprint
Open access
PDF file
ECElena Cyrus
Elena Cyrus
RCRachel Clarke
Rachel Clarke
DHDexter Hadley
Dexter Hadley
ZBZoran Bursac
Zoran Bursac
MTMary Jo Trepka
Mary Jo Trepka
EWEric Wagner
Eric Wagner
Importance The novel Coronavirus Disease 2019 (COVID-19), declared a pandemic in March 2020, may present with disproportionately higher rates in underrepresented racial/ethnic minority populations in the United States, including African American communities who have traditionally been over-represented in negative health outcomes. Study Objective To understand the impact of the density of African American communities (defined as the percentage of African Americans in a county) on COVID-19 prevalence and death rate within the three most populous counties in each U.S. state and territory (n=152). Design An ecological study using linear regression was employed for the study. Setting The top three most populous counties of each U.S. state and territory were included in analyses for a final sample size of n=152 counties. Participants Confirmed COVID-19 cases and deaths that were accumulated between January 22, 2020 and April 12, 2020 in each of the three most populous counties in each U.S. state and territory were included. Main outcome measures Linear regression was used to determine the association between African American density and COVID-19 prevalence (defined as the percentage of cases for the county population), and death rate (defined as number of deaths per 100,000 population). The models were adjusted for median age and poverty. Results There was a direct association between African American density and COVID-19 prevalence; COVID-19 prevalence increased 5% for every 1% increase in county AA density (p<.01). There was also an association between county AA density and COVID-19 deaths, such; the death rate increased 2 per 100,000 for every percentage increase in county AA density (p=.02). Conclusion These study findings indicate that communities with a high African American density have been disproportionately burdened with COVID-19. Further study is needed to indicate if this burden is related to environmental factors or individual factors such as types of employment or comorbidities that members of these community have. Question What is the impact of the density of African American communities (defined as the percentage of African Americans in a county) on COVID-19 prevalence and death rate by U.S. counties. Findings This ecological study including the three most populous counties in each U.S. state and territory, found that COVID-19 prevalence increased 5% for every percentage increase in county African American density, and that the death rate increased 2 per hundred thousand for every percentage increase in county African American density. Both were statistically significant increases. Meaning These study findings indicate that communities with a high African American density have been disproportionately burdened with COVID-19.

27 April 2023 in JMIR Public Health and Surveillance
Verified
Journal Article
Open access
JMJennifer L Matas
Jennifer L Matas
LLLatrice G Landry
Latrice G Landry
LLLaTasha Lee
LaTasha Lee
SHShantoy Hansel
Shantoy Hansel
MCMakella S. Coudray
Makella S. Coudray
Dora Il’yasovaDora Il’yasova
Dora Il’yasova
Background: COVID-19 hospitalizations and deaths disproportionately affect underserved and minority populations, emphasizing that vaccine hesitancy can be an especially important public health risk factor in these populations. Objective: This study aims to characterize COVID-19 vaccine hesitancy in underserved diverse populations. Methods: The Minority and Rural Coronavirus Insights Study (MRCIS) recruited a convenience sample of adults (age≥18, N=3735) from federally qualified health centers (FQHCs) in California, the Midwest (Illinois/Ohio), Florida, and Louisiana and collected baseline data in November 2020-April 2021. Vaccine hesitancy status was defined as a response of “no” or “undecided” to the question “Would you get a coronavirus vaccine if it was available?” (“yes” categorized as not hesitant). Cross-sectional descriptive analyses and logistic regression models examined vaccine hesitancy prevalence by age, gender, race/ethnicity, and geography. The expected vaccine hesitancy estimates for the general population were calculated for the study counties using published county-level data. Crude associations with demographic characteristics within each region were assessed using the chi-square test. The main effect model included age, gender, race/ethnicity, and geographical region to estimate adjusted odds ratios (ORs) and 95% CIs. Interactions between geography and each demographic characteristic were evaluated in separate models. Results: The strongest vaccine hesitancy variability was by geographic region: California, 27.8% (range 25.0%-30.6%); the Midwest, 31.4% (range 27.3%-35.4%); Louisiana, 59.1% (range 56.1%-62.1%); and Florida, 67.3% (range 64.3%-70.2%). The expected estimates for the general population were lower: 9.7% (California), 15.3% (Midwest), 18.2% (Florida), and 27.0% (Louisiana). The demographic patterns also varied by geography. An inverted U-shaped age pattern was found, with the highest prevalence among ages 25-34 years in Florida (n=88, 80.0%,) and Louisiana (n=54, 79.4%; P<.05). Females were more hesitant than males in the Midwest (n= 110, 36.4% vs n= 48, 23.5%), Florida (n=458, 71.6% vs n=195, 59.3%), and Louisiana (n= 425, 66.5% vs. n=172, 46.5%; P<.05). Racial/ethnic differences were found in California, with the highest prevalence among non-Hispanic Black participants (n=86, 45.5%), and in Florida, with the highest among Hispanic (n=567, 69.3%) participants (P<.05), but not in the Midwest and Louisiana. The main effect model confirmed the U-shaped association with age: strongest association with age 25-34 years (OR 2.29, 95% CI 1.74-3.01). Statistical interactions of gender and race/ethnicity with the region were significant, following the pattern found by the crude analysis. Compared to males in California, the associations with the female gender were strongest in Florida (OR=7.88, 95% CI 5.96-10.41) and Louisiana (OR=6.09, 95% CI 4.55-8.14). Compared to non-Hispanic White participants in California, the strongest associations were found with being Hispanic in Florida (OR=11.18, 95% CI 7.01-17.85) and Black in Louisiana (OR=8.94, 95% CI 5.53-14.47). However, the strongest race/ethnicity variability was observed within California and Florida: the ORs varied 4.6- and 2-fold between racial/ethnic groups in these regions, respectively. Conclusions: These findings highlight the role of local contextual factors in driving vaccine hesitancy and its demographic patterns.

ECElena Cyrus
Elena Cyrus
JSJorge Sanchez
Jorge Sanchez
Purnima MadhivananPurnima Madhivanan
Purnima Madhivanan
JLJavier R. Lama
Javier R. Lama
ABAndrea Cornejo Bazo
Andrea Cornejo Bazo
FAFrederick L. Atice
Frederick L. Atice
Background: Globally, there is evidence supporting the co-occurrence of intimate partner violence (IPV), substance use disorders (SUD) and mental health disorders among women in prisons, however, there is limited research investigating these domains in the Andean region where rates of female incarceration have increased. The study objective was to explore the prevalence of IPV, SUD and depression among incarcerated women in a Peruvian prison and explore associations among these variables and related correlates. Methods: 249 incarcerated women responded to a questionnaire about IPV, substance use, depression, and sexual behavior, and were screened for HIV/sexually transmitted diseases (STDs). Univariate analysis and logistic regression were used to estimate relative risk and the influence of substance use and depression on IPV rates. Results: Twelve months prior to incarceration, of the women with sexual partners pre-incarceration (n = 212), 69.3% experienced threats of violence, 61.4% experienced ≥1 acts of physical violence, and 28.3% reported ≥1 act of sexual aggression. Pre-incarceration, 68.1% of drug-using women had a SUD, and 61.7% of those who consumed alcohol reported hazardous/harmful drinking. There were 20 (8.0%) HIV/STD cases; and 67.5% of the women reported depressive symptoms. Compared to women with no experiences of physical violence, a greater proportion of women who experienced least l violent act had depressive symptoms and engaged in sex work pre-incarceration. Depression was associated with physical violence (adjusted relative risk = 1.35, 95% confidence interval: 1.14–1.58). Recommendations: The findings provide evidence of a syndemic of IPV, substance abuse and depression among incarcerated women in a Peruvian prison. To help guide policy makers, further research is needed to determine if this is indicative of trends for other at-risk women in the region, and viable options to treat these women during incarceration to prevent recidivism and other long-term negative sequalae.