Data Visualization

Blog of the Data Visualization & Communication Course at OSB-AUB

This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization” John Tukey

Beyond Bad Luck: Why The Data Shows Rural Lebanon Is a Health Hazard

Beyond Bad Luck: Why The Data Shows Rural Lebanon Is a Health Hazard

It was a quiet Sunday afternoon in a small town in the West Bekaa. Two friends, Jad (15) and Rami (14), were enjoying a simple innocent motor bike ride. But unfortunately, they were hit by a speeding SUV.

The town folk gathered around the 2 boys that were laying bleeding on the asphalt road. The ambulance arrived quickly. Jad needed immediate, high-level trauma care. He needed a specialized surgeon within minutes. The nearest facility capable of saving his life, however, was in Zahle, a 45-minute drive through challenging rural roads.

For severe trauma, 45 minutes is not a journey, but it is a critical time window that determines fate. While Rami survived after weeks in the ICU, Jad unfortunately bled out on the way.

His death wasn’t solely a result of the collision. But it was a devastating consequence of a systemic, geographical failure.

The Evidence: Mapping the Disparity

This tragedy is not an isolated incident of bad luck. It is the human cost of a deeply imbalanced healthcare system. Our data analysis confirms what rural families already know: Access to care is dangerously centralized.

 

The visualization of medical facilities across Lebanon’s districts illustrates this shocking disparity:

  • The areas highlighted in Green (the top 3) enjoy a dense concentration of hospitals, offering multiple lifelines within minutes.

  • On the opposite end, the areas highlighted in Red (the bottom 4) show bars that are barely visible, confirming these are healthcare deserts.

The system is designed to serve the city, leaving the vast rural expanse with an inadequate margin of error. Your chance of survival is, quite literally, dictated by the proximity of your nearest bar on this chart.

 

The Solution

We cannot solve the problem of distance by trying to build a new university medical center in every district. That is fiscally impossible. The real solution is smart, targeted investment in stabilizing the patient, not relocating the hospital.

Our data, which shows the alarmingly low density of First Aid and Care Units in the rural areas, points directly to the answer. We must transform these simple clinics into advanced, highly efficient units.

1. Buying Time

The difference between life and death for someone like Jad is the critical time immediately following a severe injury.

The goal of a new, Trauma-Ready Care Unit is to manage and stabilize major injuries (like severe bleeding or airway obstruction) for 30 minutes. It’s not a full operating room, but it has the specialized staff and equipment to:

  • Stop the Clock: Stabilize the patient with basic surgical procedures.

  • Coordinate Transport: Link immediately with air or specialized ground ambulance services.

By creating these small hubs, we effectively shrink the deadly 45-minute travel time into a manageable window, giving the patient the chance to survive the journey to the major hospital.

2. Decompressing the ER

The benefits flow both ways. Today, emergency rooms in major urban hospitals (like those in Zahle or Baabda) are often jammed with non-critical cases:

  • Minor broken bones

  • Deep lacerations needing stitches

  • Dog bites and severe infections

By upgrading rural units, these facilities can handle this high volume of urgent but non-life-threatening cases.

The immediate effect is a massive reduction in pressure on the urban ERs. This allows the major city hospitals to focus their specialized surgeons and resources entirely on the true, severe emergencies, like the trauma case that should have saved Jad.

Big Idea:Healthcare equality is not just about bringing care closer; it’s about making sure the right care is available at the right time for everyone, everywhere.” Investing in these small, advanced units is the fastest, most cost-effective way to bridge the deadly gap on our map.

When Seconds Matter: Lebanon’s Uneven Access to Hospitals for Cardio Cases

When Seconds Matter: Lebanon’s Uneven Access to Hospitals for Cardio Cases

In Heart Attacks, Every Minute Lost Reduces Survival

Heart attacks don’t negotiate. Once symptoms start, the countdown begins and survival depends on how fast a patient reaches a hospital that can intervene. This makes geography a health factor.

In Lebanon, where hospitals are not evenly distributed across districts, access time can vary sharply from one place to another. The question isn’t only “how many heart cases do we have?” but also “how close is care when those cases happen?”

Akkar vs. Baabda: A District Size Contrast That Matters

Akkar and Baabda illustrate Lebanon’s geographic contrasts clearly. Akkar spans 788 km², making it one of the largest districts in the country, with wide and spread out communities. Baabda, by comparison, covers just 194 km² nearly four times smaller.

This difference isn’t just a cartographic detail; it fundamentally shapes residents’ access to services. In a district as large as Akkar, simply reaching a hospital can take significantly more time, while Baabda’s compact size naturally supports quicker, more concentrated access to care.

Mismatch between burden and capacity

Akkar also shows a high cardiovascular case load

In other words:

  • Big territory → longer distances by default
  • Low hospital density → fewer nearby entry points for emergency care
  • High cardiovascular cases → more people needing urgent access

That combination is a red flag. It implies that when heart attacks strike in Akkar, residents are more likely to face delayed arrival to care compared to smaller, better served districts.

What could realistically improve this?

This isn’t about building a hospital in every village. It’s about optimizing emergency reach. Lebanon already has health infrastructure, the strategic gap is spatial coverage and speed.

A practical way forward is to reduce time to care in high burden, low coverage districts through targeted interventions such as:

  • Upgrading/expanding emergency-capable units in under-served districts
  • Deploying advanced ambulance hubs positioned for maximum coverage
  • Formalizing rapid transfer pathways to the nearest cardiac-capable hospital

The goal is simple: even if a hospital isn’t next door, the system should behave like it is by cutting delays.

How to prioritize smartly?

The visuals naturally suggest a prioritization logic:

  1. Identify districts with high cardiovascular cases (large bars / darker heat).
  2. Among them, flag those with low hospital density (lighter color).
  3. Cross-check physical area (larger districts imply longer response routes).

Districts like Akkar fall into the high-priority quadrant: large area, high burden, low coverage. These are the districts where a marginal improvement in access time could prevent disproportionately more deaths. That’s high ROI health policy.

Align capacity with need

If we reduce time in districts like Akkar, through more emergency nodes, better equipped local units, or faster transfer networks, we align capacity with need without requiring unrealistic nationwide hospital expansion.

Next Steps? 

Lebanon should treat emergency cardiac access as a geographic equity issue. Health planning must go beyond counting hospitals, it should measure how fast people can reach lifesaving care, especially in high burden districts.

Because in a heart attack, there’s no such thing as an average patient. There’s only the patient who needs help now, and whether help is close enough to arrive in time.