Epidemiology Commons^™

A Case Report Of Covid-19 Monitoring In The Austrian Professional Football League, Antje Van Der Zee-Neuen, Dagmar Schaffler-Schaden, Jürgen Herfert, James O´Brien, Tim Johansson, Patrick Kutschar, Alexander Seymer, Stephan Ludwig, Thomas Stöggl, David Keeley, Herbert Resch, Jürgen Osterbrink, Maria Flamm

Research outputs 2014 to 2021

Since the beginning of the COVID -19 pandemic, many contact sport teams are facing major challenges to safely continue training and competition. We present the design and implementation of a structured monitoring concept for the Austrian national football league. 146 professional players from five clubs of the professional Austrian football league were monitored for a period of 12 weeks. Subjective health parameters, PCR- test results and data obtained from a geo-tracking app were collected. Simulations modelling the consequences of a COVID-19 case with increasing reproduction number were computed. No COVID -19 infection occurred during the observation period in the players. …

“Coronavirus Changed The Rules On Everything”: Parent Perspectives On How The Covid‐19 Pandemic Influenced Family Routines, Relationships And Technology Use In Families With Infants, Rebecca Hood, Juliana Zabatiero, Desiree Silva, Stephen R. Zubrick, Leon Straker

Research outputs 2014 to 2021

This study explores how the first wave of the COVID‐19 pandemic influenced family routines, relationships and technology use (smartphones and tablet computers) among families with infants. Infancy is known to be an important period for attachment security and future child development, and a time of being susceptible to changes within and outside of the family unit. A qualitative design using convenience sampling was employed. A total of 30 mothers in Perth, Western Australia participated in semi‐structured interviews by audio or video call. All mothers were parents of infants aged 9 to 15 months old. Interviews were audio‐recorded and transcribed, and …

Evaluation Of The Effectiveness Of Continuing Professional Development In The Pharmaceutical Workplace: A Cross-Sectional Study In Lebanon, Georges Hatem, Mathijs Goossens, Diana Ghanem, Roula Bou Assi

BAU Journal - Creative Sustainable Development

The objective of this study is to evaluate the effectiveness of Continuous Professional Development in the pharmaceutical workplace and the direct impact on the pharmacists’ personal and professional progression and to assess their perceptions toward various CPD methods and their incorporation into this recent learning pathway. Methods: A cross-sectional descriptive study was conducted in Lebanon within three months from July 2017 till September 2017 using a survey as a tool. Overall 142 participants were conveniently selected frequency matching national government estimates of pharmacists’ work location and gender . Results: Among the respondents, 38.7% reported that they have learnt through CD/DVD, …

Statistical Analysis Based On Adaptive Progressive Hybrid Censored Data From Lomax Distribution, Amal Helu, Hani Samawi

Biostatistics, Epidemiology & Environmental Health Sciences: Faculty Publications

In this article, we consider statistical inferences about the unknown parameters of the Lomax distribution basedon the Adaptive Type-II Progressive Hybrid censoring scheme, this scheme can save both the total test time and the cost induced by the failure of the units and increases the efficiency of statistical analysis. The estimation of the parameters is derived using the maximum likelihood (MLE) and the Bayesian procedures. The Bayesian estimators are obtained based on the symmetric and asymmetric loss functions. There are no explicit forms for the Bayesian estimators, therefore, we propose Lindley’s approximation method to compute the Bayesian estimators. A comparison …

Are We Passing On Violence To The Next Generation?: Gender Norms And Gender-Based Violence Attitudes Among Early Adolescents In Indonesia, I Gusti A A. Mahendra, Anggriyani Wahyu Pinandari, Ifta Choiriyah, Siswanto Agus Wilopo

Kesmas

Intensification of gender norms during puberty affects adolescents’ perceptions and behavior related to violence. This study examined the association between gender norms and gender-based violence (GBV) among early adolescents considering socio-ecological variables using cross-sectional data from 3,618 Indonesian Global Early Adolescent Study pupils. Chi square tests with simple and multiple logistic regression analyses examined how different factors' levels predict GBV. Among boys, GBV attitudes were found high (53%). Furthermore, they also had high heteronormative expectations, threatened feelings, experiences of violence, porn access, and 5+ adverse childhood experiences (ACEs). Logistic regression results revealed that adolescent boys having one or two scores …

A Healthy Dietary Pattern With A Low Inflammatory Potential Reduces The Risk Of Gestational Diabetes Mellitus, Lotta Pajunen, Liisa Korkalo, Noora Houttu, Outi Pellonperä, Kati Mokkala, Nitin Shivappa Mbbs, Mph, Ph.D., James Hébert Scd, Tero Vahlberg, Kristina Tertti, Kirsi Laitinen

Faculty Publications

Purpose An optimal diet for lowering the risk of gestational diabetes mellitus (GDM) is still to be defined, but may comprise of nutrient intakes, dietary patterns, diet quality, and eating frequency. This study was designed to investigate the contribution of diet in developing GDM in a comprehensive way. Methods The dietary intake of overweight or obese women, a risk group for GDM (n = 351), was assessed using 3-day food diaries and diet quality questionnaires in early pregnancy. Eating frequency and nutrient intakes were calculated, and dietary patterns identified using principal component analysis. The inflammatory potential of the diet was …

The Indonesian Strategy To Achieve Universal Health Coverage Through National Health Insurance System: Challenges In Human Resources, Atikah Adyas

Kesmas

Many countries are currently trying to achieve universal health insurance coverage in order to provide health protection for their population. Indonesia has received a strong political commitment to implement national health insurance including government support to finance the poor. The implementation of comprehensive national health insurance requires human resources, each of which has a role in fighting for noble goals for the welfare of all people. This paper is taken from the experience of Indonesia and several other countries as well as guidelines that can be used in exploring the role of human resources for the success of the implementation …

Mental Fatigue And Its Associated Factors Among Coal Mining Workers After One Year Of The Covid-19 Pandemic In Indonesia, Hendra Djamalus, Budi Utomo, I Made Djaja, Sjahrul M. Nasri

Kesmas

Mental fatigue among coal mining operators was related to driving activities that require high concentration. This study aimed to determine factors that contributed to mental fatigue among coal mine operators in Indonesia, specifically in Kalimantan and Sumatra, after a one-year COVID-19 pandemic. This cross-sectional study was conducted among 480 operators from two companies and seven sites. A self-administrated questionnaire in the Google Form was used to measure mental fatigue, the non-work-related factors (age, education, marital status, residence, and stress level), and work-related factors (working periods, shift pattern, type of shift, and work area in mining). The data analyzed using Chi-square …

The Covid-19 Pandemic: Role Of Coping Humor And Internal Health Locus Of Control On Social Dysfunction And Anxiety & Depression, Muhammad Arief Sumantri, Zahrani Zahrani, Hilda Rosa Ainiyah, Azmul Fuady Idham

Kesmas

The concerns about the impact of social distancing on mental health have been widely discussed. This study aimed to know the predictive effect of coping humor and Internal Health Locus of Control (Internal HLoC) on social dysfunction and anxiety & depression during the implementation of the COVID-19 social distancing agenda. This study was also intended to assess the effect of humor content on coping humor. A quantitative approach was used as the method ofthe study with 243 online-recruited participants, and a PLS-SEM analysis was applied to find out the predictive effect in this study. The results and conclusions showed that …

Breastfeeding Knowledge And Behavior In Lactational Amenorrhea Method (Lam) As A Natural Contraceptive, Mufdlilah Mufdlilah, Reza Bintangdari Johan, Sri Ratna Ningsih

Kesmas

The lactational amenorrhea method (LAM) is a natural contraceptive that is highly effective after the three essential criteria are fulfilled. However, there is a significantly low adoption resulting from poor knowledge and correct practices. This study aimed to determine the correlation between knowledge and behavior of breastfeeding mothers on breastfeeding as a natural contraceptive. This was an analytic observational study with a cross-sectional design involving 89 breastfeeding mothers and was performed from January to March 2018. Furthermore, data were collected using a questionnaire, and the results showed knowledge of breastfeeding mothers to be good (59.6%) and not good (51.7%). However, …

Integrated Model Of A Family Approach And Local Support In Tuberculosis Case Finding Efforts In People With Hiv/Aids, Erni Astutik, Chatarina Umbul Wahyuni, Imelda F E Manurung, Geofrey Ssekalembe

Kesmas

The human immunodeficiency virus (HIV) remains a major global public health problem. People with HIV/acquired immune deficiency syndrome (AIDS) are more susceptible to opportunistic infections such as tuberculosis (TB). Therefore, families and community leaders need to help monitor people living with HIV/AIDS (PLWHA). This study aimed to analyze an integrated family approach and local support model to detect TB cases in PLWHA. This study used a case-control study in Kupang City, East Nusa Tenggara Province, in July 2020. The sample comprised 100 people (50 PLWHA with TB case and 50 controls) using total sampling and random sampling, respectively. The variables …

Predictors Of The Covid-19 Social Distancing Practice Among Undergraduate Health Students In Samarinda City, Indonesia: A Cross-Sectional Study, Siti Hadijah Aspan, Pramon Viwattanakulvanid

Kesmas

Social distancing is a health protocol recommended by the World Health Organization (WHO) for reducing the spread of COVID-19. Undergraduate health students play an important role in the dissemination of accurate information. This study identified predictors that influenced the COVID-19 social distancing practice and examined the sources of social distancing information among undergraduate health students in Samarinda City, Indonesia. This cross-sectionalonline survey study (March-April 2021) involved 422 undergraduate students from medicine, public health, and pharmacy faculties at Mulawarman University. Binary logistic regression was conducted to identify factors associated with the COVID-19 social distancing practice. The results showed that age (AOR …

Knowledge, Attitudes, And Practices Of Health Personnel In Responding To The Covid-19 Pandemic In Indonesia, Dyah Suryani, Suyitno Suyitno, Maretalinia Maretalinia, Elvi Juliansyah, Vernonia Yora Saki, Kraichat Tantrakarnapa

Kesmas

The COVID-19 pandemic, originated in China, has spread to worldwide, including Indonesia. Until July 2021, the growth rate has been gradually increasing, and cases have been found in all 34 provinces of Indonesia. This cross-sectional study aimed to investigate the knowledge, attitude, and practices (KAP) of health personnel in the primary health care towards the COVID-19 pandemic in Indonesia using online self-report questionnaire. A total of 440 respondents contributed to this online survey. The average level of KAP were 7.7 out of 10.0, 14.3 out of 15.0, and 31.9 out of 36.0, respectively. There was no significant association between respondents’ …

The Seroprevalence Of Toxoplasma Gondii In Cats At The House Of Maternal Women With Toxoplasmosis In Badung, Indonesia, Made Subrata, Nyoman Mantik Astawa, Nyoman Tigeh Suryadi, Sang Gede Purnama, Kadek Karang Agustina, Ngakan Putu Anom Harjana, Made Damriyasa

Kesmas

Toxoplasmosis is a zoonotic disease caused by infection with the parasite called Toxoplasma gondii (T. gondii). The health and social impacts of the infectionare enormous, including miscarriage, hydrocephalus, blindness, and mental retardation. The occurrence of toxoplasmosis in maternal women cannot be se parated from cats around their houses. This study aimed to determine the seroprevalence of the parasite in cats found in the human carriers residences and identify the risk factors of toxoplasmosis in maternal women in Badung District, Bali Province, Indonesia. A total of 80 cat serum samples were obtained from two residential groups, 40 from the housing where …

How Risky People Of Getting Covid-19 Based On Their Daily Activities?, Fajar Ariyanti, Mustakim Mustakim, Moch T A Al Ayubi, Desty Pratiwi Marlisman

Kesmas

In Indonesia at the end of 2020, COVID-19 cases were increasing and predicted to continue, as it had not yet passed the peak of the pandemic curve. The government had implemented mobility restrictions to reduce exposure to COVID-19. This study aimed to identify the risk of people getting COVID-19 based on their daily activities. Using a cross-sectional design, this study took 315 respondents under non-probability sampling from September to October 2020. Thedata were analyzed using the Chi-square test with α 0.05. This study showed that the risk percentage of people infected with COVID-19 based on their daily activities was 15.56% …

Performance Of A Validated Spontaneous Preterm Delivery Predictor In South Asian And Sub-Saharan African Women: A Nested Case Control Study, Rasheda Khanam, Tracy C. Fleischer, Nansi Boghossian, Imran Nisar, Usha Dhingra, Sayedur Rahman, Angela C. Fox, Muhammad Iiyas, Arup Dutta, Nurun Naher, Ashoka D. Polpitiya, Usma Mehmood, Saikat Deb, Aziz Ahmed Choudhury, Md Bahadur Badsha, Karim Muhammad, Said Mohammed Ali, Salahuddin Ahmed, Durlin E. Hickok, Najeeha Iqbal, Et. Al.

Faculty Publications

Objectives

To address the disproportionate burden of preterm birth (PTB) in low- and middle-income countries, this study aimed to (1) verify the performance of the United States-validated spontaneous PTB (sPTB) predictor, comprised of the IBP4/SHBG protein ratio, in subjects from Bangladesh, Pakistan and Tanzania enrolled in the Alliance for Maternal and Newborn Health Improvement (AMANHI) biorepository study, and (2) discover biomarkers that improve performance of IBP4/SHBG in the AMANHI cohort.

Study design

The performance of the IBP4/SHBG biomarker was first evaluated in a nested case control validation study, then utilized in a follow-on discovery study performed on the same samples. …

The Effectiveness And Safety Of Favipiravir In Covid-19 Hospitalized Patients At Tertiary Referral Hospital, Bali, Indonesia, Herni Damayanti, I Gede K Sajinadiyasa, Hindun Wilda Risni, Rani Sauriasari

Kesmas

COVID-19 is a major public health problem, with still questionable specific cure. Favipiravir is a COVID-19 antiviral that is potentially a therapy for COVID-19. This study aimed to analyze its effectivity and safety in moderate to critical hospitalized patients. This study was a retrospective cohort in a tertiary referral hospital in Denpasar City, Bali Province, Indonesia, from August 2020 to January 2021. There was a total of 192 patients; 96 in the favipiravir group and 96in the non-favipiravir group (remdesivir/oseltamivir). Effectivity was measured by assessing the clinical condition at the end of the isolation period of 14 days. The favipiravir …

Aggregating Twitter Text Through Generalized Linear Regression Models For Tweet Popularity Prediction And Automatic Topic Classification, Chen Mo, Jingjing Yin, Isaac Chun-Hai Fung, Zion Tse

Biostatistics, Epidemiology & Environmental Health Sciences: Faculty Publications

Social media platforms have become accessible resources for health data analysis. However, the advanced computational techniques involved in big data text mining and analysis are challenging for public health data analysts to apply. This study proposes and explores the feasibility of a novel yet straightforward method by regressing the outcome of interest on the aggregated influence scores for association and/or classification analyses based on generalized linear models. The method reduces the document term matrix by transforming text data into a continuous summary score, thereby reducing the data dimension substantially and easing the data sparsity issue of the term matrix. To …

Causal Effects On Low Apgar At 5-Min And Stillbirth In A Malaria Maternal–Fetal Health Outcome Investigation: A Large Perinatal Surveillance Study In The Brazilian Amazon, Julio Abel Seijas-Chávez, Melissa Nolan Ph.D., Mph, Mary K. Lynn, Maria José Francalino Da Rocha, Muana Da Costa Araújo, Fernando Luiz Affonso Fonseca, Gabriel Zorello Laporta

Faculty Publications

Background

Malaria elimination in Brazil poses several challenges, including the control of Plasmodium falciparum foci and the hidden burden of Plasmodium vivax in pregnancy. Maternal malaria and fetal health outcomes were investigated with a perinatal surveillance study in the municipality of Cruzeiro do Sul, Acre state, Brazilian Amazon. The research questions are: what are the causal effects of low birth weight on low Apgar at 5-min and of perinatal anaemia on stillbirth?

Methods

From November 2018 to October 2019, pregnant women of ≥ 22 weeks or puerperal mothers, who delivered at the referral maternity hospital (Juruá Women and Children’s Hospital), …

Class Imbalance In Out-Of-Distribution Datasets: Improving The Robustness Of The Textcnn For The Classification Of Rare Cancer Types, Kevin De Angeli, Shang Gao, Ioana Danciu, Eric B. Durbin, Xiao Cheng Wu, Antoinette Stroup, Jennifer Doherty, Stephen Schwartz, Charles Wiggins, Mark Damesyn, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Hong Jun Yoon

School of Public Health Faculty Publications

In the last decade, the widespread adoption of electronic health record documentation has created huge opportunities for information mining. Natural language processing (NLP) techniques using machine and deep learning are becoming increasingly widespread for information extraction tasks from unstructured clinical notes. Disparities in performance when deploying machine learning models in the real world have recently received considerable attention. In the clinical NLP domain, the robustness of convolutional neural networks (CNNs) for classifying cancer pathology reports under natural distribution shifts remains understudied. In this research, we aim to quantify and improve the performance of the CNN for text classification on out-of-distribution …