Open Access. Powered by Scholars. Published by Universities.®

Public Health Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 14 of 14

Full-Text Articles in Public Health

Institute For Global Health And Development : Issue 1 - December 2021, Institute For Global Health And Development Dec 2021

Institute For Global Health And Development : Issue 1 - December 2021, Institute For Global Health And Development

IGHD Newsletter

• Climate Change and Environment Sustainability
• Agriculture, Food Security, and Nutrition
• Gender Equality and Women Empowerment
• Sustainable Development Goals


Socastee Interview, Participant #16, April 29, 2021, Jennifer Mokos, Jaime Mccauley Apr 2021

Socastee Interview, Participant #16, April 29, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by a CCU student.


Socastee Interview, Participant #12, April 15, 2021, Jennifer Mokos, Jaime Mccauley Apr 2021

Socastee Interview, Participant #12, April 15, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by a CCU student.


Conjunction Of Factors Impacting The 2019-2020 Flu Season In The Us, Yichen Wang Apr 2021

Conjunction Of Factors Impacting The 2019-2020 Flu Season In The Us, Yichen Wang

Undergraduate Research Symposium 2021

The 2019-2020 flu season is regarded as one of the most serious ones in decades. Previous researchers usually studied the effects of different factors on seasonal flu separately instead of their conjugate impact, so we wanted to find how multiple factors combine to affect the spread of influenza in the 2019-2020 flu season in America. We chose types of virus (A and B), environmental factors (temperature, precipitation, relative humidity), population density, and influenza vaccination status for different age groups which are statewide data containing monthly information from Sep. 2019 to May 2020. By principal component analysis, we could see the …


Socastee Interview, Participant #13, April 14, 2021, Jennifer Mokos, Jaime Mccauley Apr 2021

Socastee Interview, Participant #13, April 14, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by a CCU student.


Socastee Interview, Participant #07, April 12, 2021, Jennifer Mokos, Jaime Mccauley Apr 2021

Socastee Interview, Participant #07, April 12, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by CCU students.


Socastee Interview, Participant #11, April 8, 2021, Jennifer Mokos, Jaime Mccauley Apr 2021

Socastee Interview, Participant #11, April 8, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by a CCU student.


Socastee Interview, Participant #02, April 2, 2021, Jennifer Mokos, Jaime Mccauley Apr 2021

Socastee Interview, Participant #02, April 2, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by a CCU student.


Modeling Covid-19 Infection Rates Using Sir And Arima Models, Janelle Domantay, Ilya Pivavaruk, Victor Taksheyev Apr 2021

Modeling Covid-19 Infection Rates Using Sir And Arima Models, Janelle Domantay, Ilya Pivavaruk, Victor Taksheyev

Undergraduate Research Symposium Posters

With the onset of the COVID-19 pandemic, it has become of increasing interest to both monitor and predict the growth of its infection rates. In order to analyze the accuracy of epidemiological prediction, we consider two different models for prediction, the Susceptible Infected and Removed (SIR), and Autoregressive Integrated Moving Average (ARIMA) models. Using a dataset of Clark County COVID-19 infections, we create various ARIMA and SIR models that attempt to predict the progression of COVID-19 infections whilst comparing these predictions to the dataset. We observed that the ARIMA model performed more accurately overall, having a much lower Root Mean …


Socastee Interview, Participant #08, March 31, 2021, Jennifer Mokos, Jaime Mccauley Mar 2021

Socastee Interview, Participant #08, March 31, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by a CCU student.


Socastee Interview, Participant #04, March 30, 2021, Jennifer Mokos, Jaime Mccauley Mar 2021

Socastee Interview, Participant #04, March 30, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by a CCU student.


Socastee Interview, Participant #03, March 26, 2021, Jennifer Mokos, Jaime Mccauley Mar 2021

Socastee Interview, Participant #03, March 26, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by a CCU student.


Socastee Interview, Participant #01, March 26, 2021, Jennifer Mokos, Jaime Mccauley Mar 2021

Socastee Interview, Participant #01, March 26, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by CCU students.


Modeling Longitudinal Change In Cervical Length Across Pregnancy, Hope M. Wolf, Shawn J. Latendresse, Jerome F. Strauss Iii, Timothy P. York Jan 2021

Modeling Longitudinal Change In Cervical Length Across Pregnancy, Hope M. Wolf, Shawn J. Latendresse, Jerome F. Strauss Iii, Timothy P. York

Graduate Research Posters

Introduction: A short cervix (cervical length < 25 mm) in the mid-trimester (18 to 24 weeks) of pregnancy is a powerful predictor of spontaneous preterm delivery (gestational age at delivery < 37 weeks). Although the biological mechanisms of cervical remodeling have been the subject of extensive investigation, very little is known about the rate of change in cervical length over the course of a pregnancy, or the extent to which rapid cervical shortening increases maternal risk for spontaneous preterm delivery.

Methods: A cohort of 5,160 unique women carrying 5,971 singleton pregnancies provided two or more measurements of cervical length during pregnancy. Cervical length was measured in millimeters using a transvaginal 12-3 MHz ultrasound endocavity probe (SuperSonic Imagine). Maternal characteristics, including relevant medical history and birth outcome data, were collected for each participant. Gestational age at delivery was measured from the first day of each woman’s last menstrual period and confirmed by ultrasound. Repeated measurements of cervical length during pregnancy were modeled as a longitudinal, multilevel growth curve in MPlus. A three-level variance structure was …