Zahra Hoodbhoy
A5059966414- Global Maternal and Child Health
- Pregnancy and preeclampsia studies
- Birth, Development, and Health
- Artificial Intelligence in Healthcare and Education
- Child Nutrition and Water Access
- Gestational Diabetes Research and Management
- Hemoglobinopathies and Related Disorders
- Maternal and fetal healthcare
- Iron Metabolism and Disorders
- Obesity, Physical Activity, Diet
- Congenital Heart Disease Studies
- Neonatal and fetal brain pathology
- Machine Learning in Healthcare
- Healthcare Systems and Reforms
- Infant Development and Preterm Care
- Maternal and Perinatal Health Interventions
- COVID-19 diagnosis using AI
- COVID-19 Impact on Reproduction
- Pelvic floor disorders treatments
- Family and Patient Care in Intensive Care Units
- Cardiovascular Function and Risk Factors
- Child and Adolescent Health
- Neonatal Respiratory Health Research
- Artificial Intelligence in Healthcare
- Colorectal Cancer Screening and Detection
Aga Khan University
2015-2025
Aga Khan University Hospital
2017-2025
Jaramogi Oginga Odinga University of Science and Technology
2024
Cardiff University
2024
Children's National
2024
University of Pretoria
2024
Translational Genomics Research Institute
2024
Stellenbosch University
2024
Institute of Business Administration Karachi
2023
Stony Brook University
2021
Measures of physical growth, such as weight and height have long been the predominant outcomes for monitoring child health evaluating interventional in public studies, including those that may impact neurodevelopment. While growth generally reflects overall nutritional status, it lacks sensitivity specificity to brain developing cognitive skills abilities. Psychometric tools, e.g., Bayley Scales Infant Toddler Development, afford more direct assessment development but they require language...
A major contributor to under-five mortality is the death of children in 1st month life. Intrapartum complications are one causes perinatal mortality. Fetal cardiotocograph (CTGs) can be used as a monitoring tool identify high-risk women during labor.The objective this study was precision machine learning algorithm techniques on CTG data identifying fetuses.CTG 2126 pregnant were obtained from University California Irvine Machine Learning Repository. Ten different classification models...
Pakistan has alarmingly high numbers of maternal mortality along with suboptimal care-seeking behaviour. It is essential to identify the barriers and facilitators that women families encounter, when deciding seek care services. This study aimed understand health-seeking patterns pregnant in rural Sindh, Pakistan.A qualitative was undertaken as part a large multi-country 2012. Thirty three focus group discussions 26 in-depth interviews were conducted mothers [n = 173], male decision-makers...
The advent of artificial intelligence (AI) technologies has emerged as a promising solution to enhance healthcare efficiency and improve patient outcomes. objective this study is analyse the knowledge, attitudes, perceptions professionals in Pakistan about AI healthcare. We conducted cross-sectional using questionnaire distributed via Google Forms. This was (e.g., doctors, nurses, medical students, allied workers) working or studying Pakistan. Consent taken from all participants before...
Maternal morbidities present a major burden to the health and well-being of childbearing women. However, their impacts on women's quality life (QoL) are not well understood. This work aims describe extent which women experience during pregnancy postpartum affect QoL identify any protective or risk factors. qualitative study included pregnant in Kenya, Ghana, Zambia, Pakistan, India. Data were collected between November 2023 June 2024. Participants selected via purposive sampling, with...
Despite progress in global neonatal mortality, South Asia continues to lag behind reducing deaths. The Small Vulnerable Newborn (SVN) framework has been proposed integrate preterm birth (PT), small for gestational age (SGA), and low weight. However, there is lack of data on the burden risk factors SVN Pakistan, a country which one highest deaths globally. This study aimed estimate incidence SVN, identify among pregnant women Pakistan. secondary analysis leverages from PRISMA (Pregnancy Risk...
To reduce all-cause maternal and perinatal mortality major morbidity through Lady Health Worker (LHW)-facilitated community engagement early diagnosis, stabilization referral of women with preeclampsia, an important contributor to adverse outcomes given delays in detection initial management. In the Pakistan Community-Level Interventions for Pre-eclampsia (CLIP) cluster randomized controlled trial (NCT01911494), LHWs engaged community, recruited pregnant from 20 union councils (clusters),...
BackgroundIncomplete vital registration systems mean that causes of death during pregnancy and childbirth are poorly understood in low-income middle-income countries. To inform global efforts to reduce maternal mortality, we compared physician review computerised analysis verbal autopsies (interpreting [InterVA] software), understand their agreement on cause circumstances mortality categories (COMCATs) the Community-Level Interventions for Pre-eclampsia (CLIP) cluster randomised...
Early pregnancy nutritional status can be associated with adverse birth outcomes such as small-for-gestational age (SGA) and low weight (LBW). BMI (Body Mass Index) MUAC (Mid-upper arm circumference) are easy to use assessments indicative of the pre-pregnancy if obtained in first trimester. This study primarily assesses association maternal using SGA a community-based cohort Pakistani women. It also aims determine predictive ability predicting SGA. Secondarily, we assessed between nutrition...
Abstract When integrating AI tools in healthcare settings, complex interactions between technologies and primary users are not always fully understood or visible. This deficient ambiguous understanding hampers attempts by organizations to adopt AI/ML, it also creates new challenges for researchers identify opportunities simplifying adoption developing best practices the use of AI-based solutions. Our study fills this gap documenting process designing, building, maintaining an solution called...
Blood pressure measurement is a marker of antenatal care quality. In well resourced settings, lower blood cutoffs for hypertension are associated with adverse pregnancy outcomes. We aimed to study the associations between thresholds and outcomes diagnostic test properties these in low-resource settings.We did secondary analysis data from 22 intervention clusters Community-Level Interventions Pre-eclampsia (CLIP) cluster randomised trials (NCT01911494) India (n=6), Mozambique Pakistan (n=10)....
Rheumatic heart diseases (RHDs) contribute significant morbidity and mortality globally. To reduce the burden of RHD, timely initiation secondary prophylaxis is important. The objectives this study are to determine frequency subclinical RHD train a deep learning (DL) algorithm using waveform data from digital auscultatory stethoscope (DAS) in predicting RHD.We aim recruit 1700 children group schools serving underprivileged over 12-month period Karachi (Pakistan). All consenting students...