AIMC Topic: Developing Countries

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Ambient PM Exposure Modeling in LMICs: An Example from Peru.

Current environmental health reports
PURPOSE OF REVIEW: Fine particulate matter (PM) poses a public health risk, disproportionately impacting low- and middle-income countries (LMICs). In Peru, where ambient concentrations in urban areas significantly exceed the World Health Organization...

Addressing health information inequities: making evidence-based clinical content more accessible in low- and middle-income primary care.

BMJ global health
Disparity in access to trustworthy health information between high-income and low-income settings remains stark and contributes to global health inequity. The volume of new clinical practice guidelines a healthcare provider needs to digest to deliver...

Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.

Science advances
Maternal lipid levels change dynamically during gestation to support normal fetal growth. To obtain a detailed footprint of these changes and their differences in pregnancies with preterm or small-for-gestational-age (SGA) neonates, we analyzed 641 l...

Effects of environment and globalization on the double and triple burdens of infection symptoms among under-five children across low-middle income countries using machine learning algorithms.

Infectious diseases of poverty
BACKGROUND: Childhood infectious diseases and related symptoms, such as fever, cough, and diarrhea among children constitute the leading cause of death in low and middle-income countries (LMICs). We examined the environmental predictors of double and...

Performance of the pediatric index of mortality (PIM-3) in a Moroccan PICU: challenges in resource-limited settings.

European journal of pediatrics
UNLABELLED: Prognostic scores such as the Pediatric Index of Mortality (PIM-3) are widely used to estimate mortality risk in PICUs, yet their performance in low- and middle-income countries (LMICs) remains uncertain. We aimed to evaluate the predicti...

Formulation and validation of a regional household wealth index for sub-Saharan Africa.

PloS one
A new era in global health assistance requires a focus on efficiently using limited and declining donor funds. This shift requires better evaluation methods to allocate resources effectively. Most evaluations in low- and middle-income countries (LMIC...

Mapping subnational gender gaps in internet and mobile adoption using social media data.

Proceedings of the National Academy of Sciences of the United States of America
The digital revolution has ushered in many societal and economic benefits. Yet access to digital technologies such as mobile phones and internet remains highly unequal, especially by gender in the context of low- and middle-income countries (LMICs). ...

Macroeconomic-aware forecasting of construction costs in developing countries: Using gated recurrent unit and long short-term memory deep learning framework.

PloS one
Cost overruns are common on long-term construction projects. This is mostly because of inaccurate early estimates and unexpected changes in the economy and finances. In Egypt, the costs of materials like steel, cement, bricks, sand, and aggregates ma...

The Use of Technology in Improving Multidisciplinary Care in Low-Resource Settings.

Plastic and reconstructive surgery
BACKGROUND: A multidisciplinary team comprising providers from several specialties is needed for comprehensive cleft care. Although multidisciplinary cleft teams may be readily available in high-income countries, in low- and middle-income countries (...

Equitable AI: Exploring the role of gender in poverty estimation models using geospatial data.

PloS one
Household surveys have been the foundation for poverty measurement in developing countries for the past half-century, but the spatial and temporal gaps in these survey data often limit how well anti-poverty programs can be targeted, monitored, or eva...