Ahmed Elagali, PhD

Published in #CPPlastics by @AElagali et al: Looking inside the black box – hybrid epidemiology approaches to identify causal inferences ➡️ bit.ly/4fPGSjG #plastic #environmentalhealth #plasticpollution #MachineLearning #epidemiology

@Paula_Moraga_ @CamilaDonatti @ConservationOrg @KaustResearch @HomewardBound16 Great map and well done paper! Could provide data for future papers and collaborate especially in North African countries and Australia as well. Let me know ☺️

New paper out where we examine global hotspots of climate-related disasters and discuss the importance of nature-based solutions to adapt to climate change. Led by the amazing @CamilaDonatti🔥🌊🌲☀️🌍 👉 doi.org/10.1016/j.ijdr… #climatechange #floods #heatwaves #wildfires

This research substantially contributes to Indonesia’s ongoing malaria elimination endeavours, furnishing actionable insights for the programme enhancement. Read the full article here lnkd.in/gt7udgME #malariaprevention #infectiousdiseases #infectioncontrol

It addresses critical facets of the programme, from human resources to infrastructure as well as case management and preventive measures.

Excited to share our new manuscript published on the Malaria Journal which assesses the malaria elimination programme in Muara Enim Regency, South Sumatra Province, Indonesia.

@thomas_nicolel Welcome to Perth!

The findings of this study highlight the need for continued efforts to control and eliminate malaria in the KSA, particularly in regions higher risk of malaria. #malariaprevention #infectiousdisease Read the full article here lnkd.in/g5WkDPEa

Our research showed significant spatial variation in malaria cases in KSA that was related to underlying socioeconomic status and environmental factors.

Excited to share my first publication of 2024 on #malaria which investigates the spatiotemporal distribution of malaria in the Kingdom of Saudi Arabia and published with #MDPI Tropical Medicine and Infectious Diseases.

فكيفَ أحيا وتحتَ الأرضِ أوردتي وفي الترابِ مِنَ الأحبابِ لي مُدنُ؟!"

Using the IRSF Telescope located at Sutherland Observatory in South Africa's Karoo desert, a team of astronomers is investigating the mysterious Vela supercluster of galaxies. arxiv.org/abs/2304.07208

🚨BREAKING NEWS🚨 The Minderoo-Monaco Commission has found that the numerous toxic chemicals used in plastic are exposing us to significant harmful health impacts.​ Read more here: minderoo.org/no-plastic-was…

What's AI particularly good at? Quickly spotting patterns in vast volumes of data. It's ideally suited to do ecology gruntwork at a new scale, making it possible to spot waste dumps + reefs with heat-resistant corals, write @uwanews + @JCU experts. bit.ly/3WgAN4W

We expose ourselves to plastics every day but what impact is it having on our health? 🤔 A new study led by Professor Michaela Lucas from our Medical School is thinking outside the box to find out. #UWA

This is unacceptable, and we're committed to taking action 👉 bit.ly/3cVq9j9 Plastic. Now you see it. Now it's personal.

Evidence is mounting that the chemicals in #plastic can cause serious harm to human health, yet there are currently more than 10,000 chemicals used in plastics without knowing what their impact on human health is.

We are literally breathing in plastic. Microscopic #plastic fibres from fabrics including bed sheets, clothing and toys can break off and float into the air around us.

Detailed new portrayal of #malaria endemicity in Sudan – collaboration between @MalariaAtlas, Omdurman Islamic University Sudan, and @FMOH_SUDAN Congrats @AElagali! nature.com/articles/s4159…

Spatiotemporal #mapping of #malaria incidence in #Sudan using routine surveillance data by @AElagali published in @SciReports Useful for planning & cost-effective implementation of malaria interventions by policymakers for control and elimination. doi.org/10.1038/s41598…

@msuwaydi @Nature @SciReports شكرا ياصديقي العزيز

@AElagali @Nature @SciReports Congratulations, flawless data visualization 👏🏻

Read my latest research on #malaria, published with @Nature in @SciReports. This work highlights the importance of using #machinelearning and advanced #statisticalmodeling in predicting the spread of infectious diseases (here malaria in Sudan). (1/N) nature.com/articles/s4159…