Global Health for Engineers
Mortenson Center in Global Engineering
University of Colorado Boulder
Course Structure
An introduction to the professional field of Global Health, particularly focused on the areas of global health that engineers often contribute to – i.e. community environmental health. In a short course, we won’t have time to touch on things like health systems organization but there are many resources for additional learning.
We will be reading published peer reviewed studies of global health interventions – learning how to search for, read and analyze these kinds of studies is fundamental to being conversant in the field of global health. Many of these papers have engineers as co-authors.
This class is also an opportunity for group and 1:1 discussion. I am happy to meet with each of you individually to discuss career objectives and networking
Class will be heavy on case studies, with student-led facilitation
All readings posted in Canvas. Textbook is self-paced with online Canvas quizzes
See Canvas Syllabus for link to class schedule
Evan Thomas
Professor
- Environmental Engineering Program
- Civil, Environmental and Architectural Engineering Dept.
- Aerospace Engineering Sciences Department
Mortenson Endowed Chair in Global Engineering
Director, Mortenson Center in Global Engineering
University of Colorado Boulder
- PhD, Aerospace Engineering Sciences, 2009
- MS, Aerospace Engineering Sciences, 2006
- BS, Aerospace Engineering Sciences, 2005
- BS, Broadcast Journalism, 2005
Oregon Health and Science University
MPH, Master in Public Health, 2014
Fletcher School at Tufts University
Global MBA, 2022
NASA Johnson Space Center, Aerospace Engineer, 2004-2010
Portland State University, Assistant/Associate Professor, 2010-2018
Virridy Inc, Founder and CEO, 2012 – Present
Manna Energy Limited / DelAgua Health, Founder, COO, 2007-2016
~80 journal articles, 10 patents, professional work in 16 countries
Intro to Global Health
Part 1 - Overview
Consortium of Universities for Global Health –
“An area for study, research, and practice that places a priority on improving health and achieving equity in health for all people worldwide.
Global health emphasizes transnational health issues, determinants, and solutions; involves many disciplines within and beyond the health sciences and promotes interdisciplinary collaboration; and is a synthesis of population-based prevention with individual-level clinical care.”
What is Global Health?
Overview, Key Concepts & Disciplines
Overview
Define the determinants, including social and economic, that impact health.
Highlight the differences in disease and life expectancy between high- and low-income countries.
Identify some of the dynamics in developing countries that impact health trends.
Key Concepts in Global Health
The determinants of health
The measurement of health status
The importance of culture to health
The global burden of disease
The key risk factors for various health problems
The organisation and function of health systems
Disciplines Involved in Global Health
Public Health
Public Policy
Medicine
Social Sciences
Behavioural Sciences
Law
Economics
History
Engineering
Biomedical Sciences
Environmental Sciences
Anthropology
Disease & Determinants of Health
Examples of disease that disproportionately impact developing countries
Malaria
Diarrhea
Pneumonia
HIV / Aids
99% of the children under the age of 5 who die every year lived in developing countries.
Determinants of Health
Genetics
Age
Gender
Lifestyle choices
Community influences
Income status
Geographical location
Urbanization
Climate Change
Governance
Culture
Environmental factors
Work conditions
Education
Access to health services
Source: Dahlgren G. and Whitehead M. 1991
Multi-sectoral Dimension of the Determinants of Health
Malnutrition –
- more susceptible to disease and less likely to recover
Cooking with wood and coal –
- lung diseases
Poor sanitation –
- more intestinal infections
Poor life circumstances –
- commercial sex work and STIs, HIV/AIDS
Advertising tobacco and alcohol –
- addiction and related diseases
Rapid growth in vehicular traffic often with untrained drivers on unsafe roads-
- road traffic accidents
Governance & Armed Conflict
Governance
Governance has a direct impact on socioeconomic status, health inequalities, and development
Allocation of Resources
Control of policy
Trade agreements
Regional politics
Abuse of power
Education
Image: Lvakurwa, 2009
Armed Conflict
The Results:
Disparities over resources and power
Broken relationship with neighboring countries
Lack of development
Inequality along race/gender lines
Resources diverted from health care to support conflict
Displacement
Health Implications:
Malnutrition
Diarrhea
Respiratory infections
AIDS
Extreme poverty
Negative long-term effects on health
Climate Change, Disasters & Globalization
Flooding/Natural Disasters
Indonesia: 2004 Tsunami
Image: DigitalGlobe, 2004
Haiti Earthquake, 2010
Image: Daily Mail, 2010
Globalization
”the way in which nations, businesses, and people are becoming more connected and interdependent through economic integration, communication, cultural diffusion, and travel” (Labonte & Schrecker, 2006, p. 3).
Means: moving goods and services, capital, technology, labor…
Princeton.edu INA, 2003

Intro to Global Health
Part 2 – Global Burden of Disease

Global health burden visualization

Regional disease distribution

Health indicators comparison

Development and health outcomes
Global Burden of Disease Walkthrough
http://vizhub.healthdata.org/gbd-compare/
http://vizhub.healthdata.org/sdg/
https://ourworldindata.org/burden-of-disease
Global Burden of Disease – healthdata.org

4.9 million children under age five died in 2022, 13,000 every day.
99% of children who die under the age of 5 are in low and middle income countries.
Source: UNICEF/WHO, 2023


Child mortality trends
Communicable Diseases
Defined as
- “any condition which is transmitted directly or indirectly to a person from an infected person or animal through the agency of an intermediate animal, host, or vector, or through the inanimate environment”.
Transmission is facilitated by the following (IOM)
- more frequent human contact due to
- Increase in the volume and means of transportation (affordable international air travel),
- globalization (increased trade and contact)
- Microbial adaptation and change
- Breakdown of public health capacity at various levels
- Change in human demographics and behavior
- Economic development and land use patterns
CD- Modes of transmission
Direct
- Blood-borne or sexual – HIV, Hepatitis B,C
- Inhalation – Tuberculosis, influenza, anthrax
- Food-borne – E.coli, Salmonella,
- Contaminated water- Cholera, rotavirus, Hepatitis A
Indirect
- Vector-borne- malaria, onchocerciasis, trypanosomiasis
- Formites
Zoonotic diseases – animal handling and feeding practices (Mad cow disease, Avian Influenza)
Impact of Communicable Diseases
Disease Burden
CDs account for about 30% of the global BoD and 60% of the BoD in Africa.
CDs typically affect LIC and MICs disproportionately.
- Account for 40% of the disease burden in low and middle income countries
Most communicable diseases are preventable or treatable.
Social Impact
Disruption of family and social networks
- Child-headed households, social exclusion
Widespread stigma and discrimination
- TB, HIV/AIDS, Leprosy
- Discrimination in employment, schools, migration policies
Orphans and vulnerable children
- Loss of primary care givers
- Susceptibility to exploitation and trafficking
Interventions such as quarantine measures may aggravate the social disruption
Economic Impact
At the macro level
- Reduction in revenue for the country (e.g. tourism)
- Drop in international travel to affected countries by 50-70%
- Malaria causes an average loss of 1.3% annual GDP in countries with intense transmission
At the household level
- Poorer households are disproportionately affected
- Substantial loss in productivity and income for the infirmed and caregiver
- Catastrophic costs of treating illness
Malaria
In 2022, there were an estimated 249 million malaria cases worldwide
- causes 30% of Low birth weight in newborns Globally.
In 2022, malaria killed an estimated 608,000 people. Malaria kills a child under 5 approximately every minute
40% of the world’s population is at risk of malaria. Most cases and deaths occur in SSA.
Malaria is the 9th leading cause of death in LICs and MICs
- 11% of childhood deaths worldwide attributable to malaria
- SSA children account for 82% of malaria deaths worldwide
Source: WHO World Malaria Report 2023
Global malaria prevalence

Malaria Control
Malaria control
- Early diagnosis and prompt treatment to cure patients and reduce parasite reservoir
- Vector control:
- Indoor residual spraying
- Long lasting insecticide treated bed nets
- Intermittent preventive treatment of pregnant women
Challenges in malaria control
- Widespread resistance to conventional anti-malaria drugs
- Malaria and HIV
- Health Systems Constraints
- Access to services
- Coverage of prevention interventions

Global HIV Burden

HIV/AIDS
In 2023, 39.9 million people worldwide were living with HIV, of which 67% live in SSA
- 4.1 million people worldwide became newly infected
- 2.8 million people lost their lives to AIDS
New infections occur predominantly among the 15-24 age group.
First identified in the early 1980s. Has affected over 85 million people since the start of the epidemic.
Source: UNAIDS Global AIDS Update 2023
HIV Co-infections
Impact of TB on HIV
- TB considerably shortens the survival of people with HIV/AIDS.
- TB kills up to half of all AIDS patients worldwide.
- TB bacteria accelerate the progress of AIDS infection in the patient
HIV and Malaria
- Diseases of poverty
- HIV infected adults are at risk of developing severe malaria
- Acute malaria episodes temporarily increase HIV viral load
- Adults with low CD4 count more susceptible to treatment failure
Air Quality and Public Health

Water and Public Health
“No other single intervention in the history of medicine has saved as many lives and reduced as much suffering as the provisioning of uncontaminated water,” - Paul Edward
One billion people in the world lack access to clean drinking water
- A leading cause of death worldwide
- An estimated 1.4 million people die each year from inadequate water, sanitation and hygiene
Source: WHO, 2023

Sanitation and Public Health
Minimum Standards
- Safe disposal excreta and sullage (greywater)
- Avoid disposal within 15 meters of any water source
- Provision of drainage
- Disposal of waste
- Control of insect and rodents
Intro to Global Health
Part 3 - Examples
Example QMRA (Quantitative Microbial Risk Assessment) dose-response curves for three pathogens

Adherence to Clean Drinking Water Consumption

Dose-Response
https://ehp.niehs.nih.gov/doi/10.1289/ehp.1206429

Intro to Global Health
Part 3 – Epidemiology
Engineers, Doctors, Epidemiologists, Public Policy Makers and People
Epidemiology — Defined
Adapted from: Last JM, ed. A dictionary of epidemiology. 2nd ed. Toronto, Canada: Oxford University Press; 1988.
Study of the distribution and determinants of health-related states among specified populations and the application of that study to the control of health problems

Epidemiology Purposes in Public Health Practice
Discover the agent, host, and environmental factors that affect health
Determine the relative importance of causes of illness, disability, and death
Identify those segments of the population that have the greatest risk from specific causes of ill health
Evaluate the effectiveness of health programs and services in improving population health
Epidemiology Key Terms
epidemic or outbreak: disease occurrence among a population that is in excess of what is expected in a given time and place.
cluster: group of cases in a specific time and place that might be more than expected.
endemic: disease or condition present among a population at all times.
pandemic: a disease or condition that spreads across regions.
rate: number of cases occurring during a specific period; always dependent on the size of the population during that period.
Measurement of Health Status
Cause of death
- Obtained from death certification but limited because of incomplete coverage
Life expectancy at birth
- The average number of years a new-borns baby could expect to live if current trends in mortality were to continue for the rest of the new-born's life
Maternal mortality rate
- The number of women who die as a result of childbirth and pregnancy related complications per 100,000 live births in a given year
Infant mortality rate
- The number of deaths in infants under 1 year per 1,000 live births for a given year
Neonatal mortality rate
- The number of deaths among infants under 28 days in a given year per 1,000 live births in that year
Child mortality rate
- The probability that a new-born will die before reaching the age of five years, expressed as a number per 1,000 live births
Solving Health Problems
Step 1
Data
collection
Action
Solving health problems
Assessment
Hypothesis
testing
Action
Step 2
Step 3
Step 4
Step 1 -
Surveillance; determine time, place, and person
Inference
Determine how and why
Intervention
Step 1 -
Step 2
Step 3
Step 4

Scenario: Unexplained Pneumonia
July 21–24
July 26–Aug 1
August 2
(Morning)
August 2
(Evening)
American Legion Convention,
Philadelphia, Pennsylvania
18 deaths reported among conventioneers
Health care provider at a veterans’ hospital in Philadelphia calls CDC to report casesof severe respiratory illness among attendees of the American Legion Convention
71 additional cases reported
Fraser DW, Tsai, T, Orenstein W, et al. Legionnaires’ disease: description of an epidemic of pneumonia. New Engl J Med 1977;297:1189–97.
Epidemiology Study Types
Epidemiology study
types
Experimental
Observational
Descriptive
Analytic
Confounding
Occurs when an extrinsic factor is associated with a disease outcome and, independent of that association, is also associated with the exposure
Exposure Outcome
Confounder
Measuring the association between exposure and outcome variables
The appropriate measure of association to use depends on the nature of the data
When exposure and outcome variables are dichotomous (two-level nominal data)
- Odds ratio – use with case-control study (observational)
- Risk ratio – use with cohort study (controlled)
- Rate ratio – use with cohort study (controlled)
“Risk” refers to the probability of occurrence of an event or outcome.
“Odds” refers to the probability of occurrence of an event/probability of the event not occurring.
Rate Formula
the number of cases of the illness or condition
the size of the population at risk
the period during which we are calculating the rate
To calculate a rate, we first need to determine the frequency of disease, which includes

Equations Based on 2x2 Table

Example
OR =

OR =
OR =
Smokers
Non-smokers
Example

Expressing RRs as Percentages
We can also express these RRs as percent change
- RR > 1 % Increase Change = (RR – 1) × 100
- RR < 1 % Decrease Change = (1 – RR) × 100
When does the odds ratio approximate the risk ratio?
For health-related states or events that are rare (i.e., affecting less than 10% of the population),a + b can be approximated by b, and c + d can be approximated by d
Develop strategies for particular groups to engage in change toward health
Provide a support system to initiate change and sustain positive behaviors
Goal of intervention
Surveillance
Risk Factor Identification
Intervention
Evaluation
Implementation
76
A Public Health Approach
Approaches to Interventions
Personal responsibility and action
Utilitarian Approaches – “Greatest good for the greatest number”
- Including non Health Systems Interventions.
Regulations and Laws
Partnerships and Collaboration
Enlightened Self Interest
Education
Develop favorable attitudes towards the behavior
Training (i.e. Community health workers)
Participatory engagement
Provide sustainable access
Utilizing underlying skills of the local people
Supportive Environment
- Utilizing families, local organizations, community leaders, policy makers
How?
Why Do People NOT Change Behavior?
Do they understand the message?
Do they see themselves as vulnerable?
Do they trust the ones who present the message?
Do they think the benefits of change are worth the long-term benefits?
Is it too costly?
Does change contradict with their religious beliefs?
Perceived susceptibility-risk of acquiring the disease
Perceived severity-perception on the risk of acquiring the disease
Perceived benefits-is it worth the change?
Perceived barriers-obstacles to achieving health change
Cue to action-what will trigger this change?
Self-efficacy-how confident is the person to successfully perform a behavioral change?
Health Belief Model

Intervention study design
Randomized Controlled Trial (RCT)

Intro to Global Health
Part 4 – Interventions
Rwanda Tubeho Neza
Water Filter & Cookstove Programme
Programme Overview
The Tubeho Neza ("Live Well") programme was one of the world's first carbon-credit-financed health interventions, distributing water filters and improved cookstoves across Western Province, Rwanda.
- First-ever UN CDM and Gold Standard programmes earning carbon credits for water treatment
- Carbon credit revenue funded distribution, training, and ongoing monitoring
- Implemented through Rwanda's existing Community-Based Environmental Health Promotion Programme (CBEHPP)
- Community health workers (CHWs) served as the primary delivery and behavior change channel
- Cluster-randomized controlled trial design to rigorously evaluate health impacts
Evan A. Thomas, PhD, PE, MPH — Director, Professor, University of Colorado Boulder

Field Context
Regional Context — DR Congo

Programme Implementation
Monitoring & Data Collection
Key Results
- 73% reduction in indoor air pollution among outdoor cooks
- 38% reduction in cryptosporidium exposure seroconversion
- 97.5% reduction in fecal contamination of drinking water (RCT finding)
- 48% reduction in cooking area air pollution
- 25% reduction in acute respiratory infections in children under 5
- Over 90% adoption rate maintained through CHW-delivered behavior change
Sources: Thomas et al., Lancet Planetary Health (2018); Kirby et al., PLOS ONE (2014)
Technology & Digital Monitoring
Water Filters
- LifeStraw Family 2.0 household water filters
- Significant microbiological effectiveness reducing E. coli contamination
- Free distribution with carbon waiver for credit generation
Remote Sensing Innovation
- Electronic sensors remotely transmitting usage data
- Sensor-reported use was substantially lower than self-reported use
- Demonstrated critical value of objective digital monitoring
- Published in ACS Environmental Science & Technology
Carbon Credit Model
- Pay-for-performance model funded by voluntary carbon credits
- Health, livelihood, and environmental benefits substantially outweighed costs
- Fuel savings and averted healthcare costs = largest economic gains
Scale & Lessons Learned
Key Lessons
- Integration with existing community health infrastructure (CBEHPP) improved scalability
- Geographic accessibility and CHW engagement were key determinants of sustained adoption
- Objective sensor monitoring revealed gap between self-reported and actual use
- Carbon credit financing created sustainable revenue for operations and maintenance
- Combining hardware distribution with behavior change messaging achieved >90% uptake
Published Research (13 Papers)
| Title | Journal | Link |
|---|---|---|
| Health, livelihood, and environmental impacts of the Tubeho Neza programme | The Lancet Planetary Health | Open |
| Effects of adding household water filters to Rwanda's CBEHPP | Nature — npj Clean Water | Open |
| Assessing Impact of Water Filters and Cookstoves: A Randomised Controlled Trial | PLOS ONE | Open |
| Designing and Piloting a Program to Provide Water Filters and Cookstoves | PLOS ONE | Open |
| Cost-benefit analysis of livelihood, environmental and health benefits | ScienceDirect | Open |
| Use, microbiological effectiveness and health impact of a household water filter | ScienceDirect | Open |
| Study design of a cluster-randomized controlled trial | ScienceDirect | Open |
| Process evaluation and assessment of use | BMC Public Health | Open |
| Use of Remotely Reporting Electronic Sensors | ACS Env. Sci. & Tech. | Open |
| Integration of Household Water Filters with Community-Based Sanitation | MDPI Sustainability | Open |
| Geospatial-temporal, demographic, and programmatic adoption characteristics | Cogent Engineering | Open |
| Assessing use, exposure, and health impacts (Dissertation) | Semantic Scholar | Open |
| Lessons from Rwanda on tackling unsafe drinking water and air pollution | The Conversation | Open |
Global Burden of Disease Lab
Water quality QMRA & air quality cost-effectiveness analysis using R, GBD Compare, and HAPIT.
Open Full Lab Assignment →