Water, Salt, and Sugar

Nice, brief origin story of Oral Rehydration Salts and their deployment in Bangladesh. In particular, I enjoyed the parts describing the challenges of translating the science into practice in the field. Many of the lessons are relevant to our work in household energy and health.

  1. Use competent, well-trained field workers — and figure out clever ways to incentivize good, thorough work.

So how did BRAC tackle this daunting challenge? A three-month field trial in 1979 tested whether mothers recalled BRAC field workers’ instructions on how to prepare O.R.S. This was no easy task considering that poor, illiterate households did not have measuring spoons or cups.

BRAC’s verbal guidelines included the dangerous symptoms of diarrhea, when to administer O.R.S. and how to make it with a three-finger pinch of salt, a handful of sugar and a half liter of water. In another critical step, monitors returned to villages days or weeks after the initial instruction to quiz the mothers. Health workers were paid according to how many questions their subjects answered correctly, thus incentivizing quality instruction and not just the number of lessons. The trial found that verbally trained illiterate and semi-literate rural mothers could make properly formulated O.R.S. that passed laboratory tests.

  1. Ensure that field workers believe in and, when appropriate, use the items and practices they are promoting.

[Mr. Fazle Abed, BRAC’s founder and chairperson] identified other early hurdles that slowed the adoption of O.R.S. by mothers. After inquiring about slow adoption in some villages, he found that only a fraction of health workers believed in O.R.S. themselves; they didn’t even use it to treat their own diarrhea. To dispel doubts among trainers, BRAC brought them from the field to research labs in Dhaka to scientifically show how O.R.S. worked. Health workers were then advised to convince distrustful villagers by sipping O.R.S. during household training sessions.

  1. Don’t ignore the men, who have disproportionate sway over household decisions in many parts of the world.

After this breakthrough, adoption of ORS increased but then plateaued. Again, Mr. Abed tried to find the root of the problem. He enlisted anthropology students in Dhaka to interview people about why they weren’t using O.R.S. They found that men were alienated from the discussions between female health workers and mothers and so withheld support for O.R.S. In villages, “we had to take men into confidences so we told them exactly how O.R.S. worked,” Mr. Abed recalled. When men were included in discussions, adoption of O.R.S. increased significantly.

Obviously not a perfect analogy. ORS is curative — a response to ill-health — and requires a change in treatment behavior. Arguably the need for ORS decreases in a world with adequate access to clean water and sanitation — but absent that panacea, removing barriers to affordable, easy treatment is essential. The shift we seek to encourage, towards clean cooking, is meatier — it requires big changes to routine behavior. The lessons above still hold, though. We need field workers who believe in the interventions (and, conversely, interventions worthy of their belief), we need to compensate them well, and we need buy-in from whole communities.

Kirk R. Smith in Science: In Praise of Power

Professor Kirk R. Smith in an editorial in Science:

Along with advanced biomass combustion, biogas, liquefied petroleum gas, natural gas, and other clean fuels, electric cooking needs to be directly incorporated into modernization plans for the world’s poorest people.

For those worried about CO2 emissions from power plants, consider that modest efficiency measures that reduce 3% of electric power consumption in rich countries (which are also largely supplied by coal) would “free” enough electricity to supply half of all biomass households with induction stoves. New supplies of electricity would produce far less than a 1% increase in global CO2 emissions.* It is not the cooking of the poor that threatens the climate.

Switching from solid to clean forms of energy can bring more health benefits than nearly any other modernization, including clean water and sanitation.† It is too early to tell whether induction cooking can be successfully promoted in biomass-using rural areas, but not too early to predict that electric cooking appliances will be attractive to people as electricity becomes more reliable. Although in one sense the most mundane of energy issues, given that billions do not use modern fuels in their households and suffer great impacts on health, welfare, and the local environment as a result, finding solutions for providing electricity has important implications for global health and sustainable development.

Citizen Science: Long Island Weather Observer

NY Times story about Richard Hendrickson:

Twice a day, every day, he has recorded the temperature, precipitation and wind from the same area of Bridgehampton. He has been at it through 14 presidencies, 13 New York governorships and 14 mayoralties in that city 96 miles away. The Weather Service says he has taken more than 150,000 individual readings.

His is the longest continuous streak in the history of the Weather Service, which has 8,700 such volunteers nationwide, including 55 in the New York area. The agency says he is the first to serve for more than eight decades. And to answer the obvious question, yes, he has been known to take the occasional vacation. In his 20s, he went to New Zealand — “as far away as you can get,” he said. His mother filled in at the weather station.

Mr. Hendrickson’s daily diary, kept since Jan. 1, 1931, records weather data and family matters. The Weather Service recognized Mr. Hendrickson last month with an award named for him. He said he did not realize until after a ceremony in Upton that he was getting the Richard G. Hendrickson Award, and he sounded embarrassed that the meteorologists had made such a fuss. He did not mention that notables like Benjamin Franklin and George Washington had kept weather records or that Thomas Jefferson had done so from 1776 to 1816 — less than half as long as he has.

Incredible. He started when he was 17. He’s 101 now. 101.

Hard to imagine today, when we expect these things to occur on their own, without intervention. I like this better. Routine thoughtfulness.

The Archdruid Report & Climate Clarity

John Michael Greer, communicating articulately about perturbations to complex systems (read: climate) at The Archdruid Report:

The next time you fill a bathtub, once you’ve turned off the tap, wait until the water is still. Slip your hand into the water, slowly and gently, so that you make as little disturbance in the water as possible. Then move your hand through the water about as fast as a snail moves, and watch and feel how the water adapts to the movement, flowing gently around your hand. .

Once you’ve gotten a clear sense of that, gradually increase the speed with which your hand is moving. After you pass a certain threshold of speed, the movements of the water will take the form of visible waves—a bow wave in front of your hand, a wake behind it in which water rises and falls rhythmically, and wave patterns extending out to the edges of the tub. The faster you move your hand, the larger the waves become, and the more visible the interference patterns as they collide with one another.

Keep on increasing the speed of your hand. You’ll pass a second threshold, and the rhythm of the waves will disintegrate into turbulence: the water will churn, splash, and spray around your hand, and chaotic surges of water will lurch up and down the sides of the tub. If you keep it up, you can get a fair fraction of the bathwater on your bathroom floor, but this isn’t required for the experiment! Once you’ve got a good sense of the difference between the turbulence above the second threshold and the oscillations below it, take your hand out of the water, and watch what happens: the turbulence subsides into wave patterns, the waves shrink, and finally—after some minutes—you have still water again.

This same sequence of responses can be traced in every complex system, governing its response to every kind of disturbance in its surroundings…

… Once things begin to oscillate, veering outside usual conditions in both directions, that’s a sign that the limits to resilience are coming into sight, with the possibility of chaotic variability in the planetary climate as a whole waiting not far beyond that. We can fine-tune the warning signals a good deal by remembering that every system is made up of subsystems, and those of sub-subsystems, and as a general rule of thumb, the smaller the system, the more readily it moves from local adjustment to oscillation to turbulence in response to rising levels of disturbance.

Small site changes

I’m making a small (but fundamental) change to the way the site works to reflect the traffic coming to the site (which has mainly been directed towards environmental health and other work/science related posts).

For the foreseeable future, snarglr.com will only display posts from the environmental health and science categories; all other posts (including the more fun ones) will be accessible from snarglr.com/all/.

For those who appreciate the more whimsical and fun posts, you can visit snarglr.com/all moving forward or click the “View All Posts” link in the sidebar.

Gates Notes: Two Videos That Illuminate Energy Poverty

Bill Gates, at his blog:

Many developing countries are turning to coal and other low-cost fossil fuels to generate the electricity they need for powering homes, industry, and agriculture. Some people in rich countries are telling them to cut back on fossil fuels. I understand the concern: After all, human beings are causing our climate to change, and our use of fossil fuels is a huge reason.

But even as we push to get serious about confronting climate change, we should not try to solve the problem on the backs of the poor. For one thing, poor countries represent a small part of the carbon-emissions problem. And they desperately need cheap sources of energy now to fuel the economic growth that lifts families out of poverty. They can’t afford today’s expensive clean energy solutions, and we can’t expect them wait for the technology to get cheaper.

Gates links to two videos from political scientist Bjorn Lomborg. They’re interesting and decent encapsulations of issues we grapple with regularly. We know what works, and indeed most of us in the developed world use either gas or electricity — or both — to cook everyday. Offering solutions that only partially protect health seems morally dubious, a point Lomborg and Gates make. Lomborg’s videos are embedded below. Grist for the mill.

Paulson on Climate Change and the Price of Inaction

Henry M. Paulson, writing in the NYT:

In a future with more severe storms, deeper droughts, longer fire seasons and rising seas that imperil coastal cities, public funding to pay for adaptations and disaster relief will add significantly to our fiscal deficit and threaten our long-term economic security. So it is perverse that those who want limited government and rail against bailouts would put the economy at risk by ignoring climate change.

This is short-termism. There is a tendency, particularly in government and politics, to avoid focusing on difficult problems until they balloon into crisis. We would be fools to wait for that to happen to our climate.

When you run a company, you want to hand it off in better shape than you found it. In the same way, just as we shouldn’t leave our children or grandchildren with mountains of national debt and unsustainable entitlement programs, we shouldn’t leave them with the economic and environmental costs of climate change. Republicans must not shrink from this issue. Risk management is a conservative principle, as is preserving our natural environment for future generations. We are, after all, the party of Teddy Roosevelt.

We maaaaaaa-aade it! Fox News goes after cookstove research.

“First, they came for your lightbulbs… Now the EPA, using taxpayer money to target kitchen stoves… Soon they’re coming… not just here, in third world countries. Why? Because climate change.”

The Petroleum Product That Can Save Millions Of Lives Each Year

Professor Kirk R. Smith, writing at Forbes:

The fracking furor over shale gas is the latest in a series of environmental debates that have bedeviled the oil and gas industry in spite of what might be considered an enviable record compared to related industries, coal for example. From off shore spills to the Keystone Pipeline, the industry probably feels a bit set upon at times. Similarly, its products are often the focus of environmental concern and consequent strict regulation, for example diesel air pollution. Finally, it often bears the brunt of concerns about carbon dioxide emissions leading to climate change risks.

The industry might keep in mind, however, that one of its products, liquefied petroleum gas (LPG — bottled gas containing propane and butane), is actually the most effective solution available for the largest environmental health risk in the world: cooking with solid fuels.


There is some opposition in the environmental community to promoting LPG, a fossil fuel, because of climate concerns. In reality, however, because of the poor combustion typical in biomass stoves, which produces black carbon, methane, and other climate-active pollutants, and the often non-renewable nature of the biomass supplies, which results in CO2 emissions, the net climate impact of a switch to LPG would be negligible. Even if only considering CO2, the incremental impact on global emissions of a switch to LPG would be no more than a percent of the emissions from the developed sector globally. It is not cooking by the poor that poses risk to the climate.

Nature: Deadly Dinners

A decent journalistic piece in Nature about household energy use and health. My favorite bit, from the one-two punch of Kirk Smith & Kalpana Balakrishnan:

After decades of battling to get people to use improved cooking-stoves, many researchers worry that such devices will never win over consumers and thus never achieve the desired health and climate gains. “My bottom line is that nothing works,” Smith says. “The only thing we know that’s ever worked is gas and electric.”

Balakrishnan makes a moral argument against improved cooking stoves, which still produce harmful amounts of pollutants compared with LPG or electric ones, powered by remote energy plants that comonly use fossil fuels. “Are you justified in saying that it’s OK to be just a little bit better?” she asks. “If it’s OK for 40% of the population to use fossil fuels, then why is not OK for the other 60% of the population? How can we have dual standards?”

Nature chimes in on clean cookstoves

Today, in Nature:

Even though high-profile programmes have distributed millions of stoves to households in south Asia, Africa and Latin America, it is hard to find signs that the stoves are being widely used. There is a vast gap between reported accomplishments and what researchers see when they step into people’s homes.

The crux of the problem is that simply supplying the stoves does not establish demand for them.


Efforts could be redirected to providing people with the energy they most aspire to: not a stove designed by someone in the developed world to cook cleaner, but the actual stoves used in the developed world, which run on electricity or hydrocarbons such as liquefied petroleum gas (LPG).

This is not an absurd goal. The International Energy Agency (IEA) estimates that bringing electricity and clean-cooking facilities to every person on Earth by 2030 will cost US$49 billion a year. Although that is a considerable sum, the agency points to major commitments by Indonesia, Ghana and Nigeria to aggressively switch large portions of their population to cooking with LPG.

Where will all this new energy come from? It will require some additional consumption of fossil fuels, and that will increase the emissions of carbon dioxide into the atmosphere. But the extra pollution would be minimal at the global scale: the IEA estimates that it would boost CO2 emissions by just 0.7% above its base scenario.


Climate Change: If you see something, say something

Powerful opinion piece by Michael E. Mann in the NYT:

If scientists choose not to engage in the public debate, we leave a vacuum that will be filled by those whose agenda is one of short-term self-interest. There is a great cost to society if scientists fail to participate in the larger conversation — if we do not do all we can to ensure that the policy debate is informed by an honest assessment of the risks. In fact, it would be an abrogation of our responsibility to society if we remained quiet in the face of such a grave threat.

This is hardly a radical position. Our Department of Homeland Security has urged citizens to report anything dangerous they witness: “If you see something, say something.” We scientists are citizens, too, and, in climate change, we see a clear and present danger. The public is beginning to see the danger, too — Midwestern farmers struggling with drought, more damaging wildfires out West, and withering record summer heat across the country — while wondering about possible linkages between rapid Arctic warming and strange weather patterns, like the recent outbreak of Arctic air across much of the United States.

How will history judge us if we watch the threat unfold before our eyes, but fail to communicate the urgency of acting to avert potential disaster? How would I explain to the future children of my 8-year-old daughter that their grandfather saw the threat, but didn’t speak up in time?

Those are the stakes.

Bill Murray's Ask Me Anything on Reddit

As with all things Bill Murray, this is a gem. My favorite question and answer is the top one in the thread (for now):

Q. If you could go back in time and have a conversation with one person, who would it be and why? (from anniedog03)

A. That’s a grand question, golly.

I kind of like scientists, in a funny way. Albert Einstein was a pretty cool guy. The thing about Einstein was that he was a theoretical physicist, so they were all theories. He was just a smart guy. I’m kind of interested in genetics though. I think I would have liked to have met Gregor Mendel.

Because he was a monk who just sort of figured this stuff out on his own. That’s a higher mind, that’s a mind that’s connected. They have a vision, and they just sort of see it because they are so connected intellectually and mechanically and spiritually, they can access a higher mind. Mendel was a guy so long ago that I don’t necessarily know very much about him, but I know that Einstein did his work in the mountains in Switzerland. I think the altitude had an effect on the way they spoke and thought.

But I would like to know about Mendel, because i remember going to the Philippines and thinking “this is like Mendel’s garden” because it had been invaded by so many different countries over the years, and you could see the children shared the genetic traits of all their invaders over the years, and it made for this beautiful varietal garden.


Council on Foreign Relations: Vaccine Preventable Disease Map

It’s been a long time, blog. Blame India and Nepal. Both of which are seemingly under-represented in the below map. The embed code’s not great — click on a region or pull the map around a bit to see their assessment. Or, better yet, view the map in your full browser window here.

For the past three years, the Global Health program at the Council on Foreign Relations has been tracking relevant reports to produce an interactive map plotting global outbreaks of diseases that are easily prevented by inexpensive and effective vaccines. The diseases include measles, mumps, whooping cough, polio, and rubella.

“These outbreaks illustrate a worrying trend and raise the sense of alarm regarding failures in and public resistance to vaccine efforts,” says CFR senior fellow for global health Laurie Garrett. “Small decreases in vaccine coverage are known to lead to dramatic increases in outbreaks of vaccine-preventable diseases,” she explains.

Venus, Mars, the Earth and Moon from Saturn

NASA and JPL continue to release some incredible images. Click the image to see a large version in a new window; click here to see huge ones over at NASA.

Humbling and magical.

On July 19, 2013, in an event celebrated the world over, NASA’s Cassini spacecraft slipped into Saturn’s shadow and turned to image the planet, seven of its moons, its inner rings — and, in the background, our home planet, Earth.

With the sun’s powerful and potentially damaging rays eclipsed by Saturn itself, Cassini’s onboard cameras were able to take advantage of this unique viewing geometry. They acquired a panoramic mosaic of the Saturn system that allows scientists to see details in the rings and throughout the system as they are backlit by the sun. This mosaic is special as it marks the third time our home planet was imaged from the outer solar system; the second time it was imaged by Cassini from Saturn’s orbit; and the first time ever that inhabitants of Earth were made aware in advance that their photo would be taken from such a great distance.

With both Cassini’s wide-angle and narrow-angle cameras aimed at Saturn, Cassini was able to capture 323 images in just over four hours. This final mosaic uses 141 of those wide-angle images. Images taken using the red, green and blue spectral filters of the wide-angle camera were combined and mosaicked together to create this natural-color view. A brightened version with contrast and color enhanced (Figure 1), a version with just the planets annotated (Figure 2), and an annotated version (Figure 3) are shown above.

This image spans about 404,880 miles (651,591 kilometers) across.

Some more graphs of Beijing's Air Pollution

A bunch of folks across the internet have been doing some great stuff with the air quality data coming out of China via official channels and the US Embassy twitter feeds. My advisor asked for some graphs of available data. They are posted below (all were created in R using ggplot2). If time ever permits, I’ll post some interactive visualizations.

Using RAW to visualize Global Burden of Disease Data

RAW is a really impressive and easy-to-use data visualization tool created by Density Design. I created the following plot in about five minutes from existing GBD data (of DALYs in India for women of all ages).

Air Pollution ? Household air pollution from solid fuels 14,430,417Dietary/Physical ? Dietary risks 14,139,801Dietary risks ? Cardiovascular and circulatory diseases 12,251,100Undernutrition ? Iron deficiency 10,145,794Undernutrition ? Childhood underweight 10,112,321Physiological ? High blood pressure 9,598,107Iron deficiency ? Nutritional deficiencies 9,245,200High blood pressure ? Cardiovascular and circulatory diseases 9,236,250Childhood underweight ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 7,993,580Air Pollution ? Ambient particulate matter pollution 6,963,544Physiological ? High fasting plasma glucose 6,839,755Tobacco ? Tobacco smoking 6,456,925Undernutrition ? Suboptimal breastfeeding 5,430,200Suboptimal breastfeeding ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 5,430,200Household air pollution from solid fuels ? Cardiovascular and circulatory diseases 4,939,660Sexual abuse ? Intimate partner violence 4,907,625Dietary/Physical ? Physical inactivity and low physical activity 4,684,952Household air pollution from solid fuels ? Chronic respiratory diseases 4,629,250Household air pollution from solid fuels ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 4,242,530Ambient particulate matter pollution ? Cardiovascular and circulatory diseases 4,051,780High fasting plasma glucose ? Diabetes, urogenital, blood, and endocrine diseases 3,758,890Physical inactivity and low physical activity ? Cardiovascular and circulatory diseases 3,212,120Intimate partner violence ? Self-harm and interpersonal violence 3,066,340Alcohol & Drugs ? Alcohol use 3,020,381Tobacco smoking ? Chronic respiratory diseases 2,767,440WatSan ? Unimproved sanitation 2,691,430Unimproved sanitation ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 2,691,430High fasting plasma glucose ? Cardiovascular and circulatory diseases 2,527,440Physiological ? High body-mass index 2,517,676Occupational risks ? Occupational risks 2,341,920Physiological ? High total cholesterol 2,308,860High total cholesterol ? Cardiovascular and circulatory diseases 2,308,860Childhood underweight ? Nutritional deficiencies 2,096,190Tobacco smoking ? Cardiovascular and circulatory diseases 1,914,150Ambient particulate matter pollution ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 1,721,660Intimate partner violence ? Mental and behavioral disorders 1,577,950Other Env ? Lead exposure 1,397,538Sexual abuse ? Childhood sexual abuse 1,374,294Lead exposure ? Cardiovascular and circulatory diseases 1,345,890Tobacco smoking ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 1,282,190Alcohol & Drugs ? Drug use 1,210,892High body-mass index ? Cardiovascular and circulatory diseases 1,197,470Undernutrition ? Vitamin A deficiency 1,185,772Vitamin A deficiency ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 1,178,350Undernutrition ? Zinc deficiency 1,126,100Zinc deficiency ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 1,126,100Dietary risks ? Neoplasms 1,101,710Ambient particulate matter pollution ? Chronic respiratory diseases 1,099,640Occupational risks ? Chronic respiratory diseases 1,008,390Physical inactivity and low physical activity ? Diabetes, urogenital, blood, and endocrine diseases 990,530Drug use ? Mental and behavioral disorders 986,262Iron deficiency ? Maternal disorders 900,594High body-mass index ? Diabetes, urogenital, blood, and endocrine diseases 896,822Occupational risks ? Musculoskeletal disorders 775,941Alcohol use ? Mental and behavioral disorders 718,838Childhood sexual abuse ? Mental and behavioral disorders 716,375Dietary risks ? Diabetes, urogenital, blood, and endocrine diseases 707,042Childhood sexual abuse ? Self-harm and interpersonal violence 657,919Alcohol use ? Cirrhosis of the liver 617,146WatSan ? Unimproved water source 604,815Unimproved water source ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 604,815Alcohol use ? Cardiovascular and circulatory diseases 576,253High fasting plasma glucose ? HIV/AIDS and tuberculosis 553,425Air Pollution ? Ambient ozone pollution 548,650Ambient ozone pollution ? Chronic respiratory diseases 548,650Physical inactivity and low physical activity ? Neoplasms 482,302Household air pollution from solid fuels ? Other non-communicable diseases 443,135Tobacco smoking ? Neoplasms 418,225High blood pressure ? Diabetes, urogenital, blood, and endocrine diseases 361,857Physiological ? Low bone mineral density 301,652Low bone mineral density ? Unintentional injuries other than transport injuries 301,652High body-mass index ? Musculoskeletal disorders 268,266Occupational risks ? Unintentional injuries other than transport injuries 265,035Intimate partner violence ? Maternal disorders 263,335Alcohol use ? HIV/AIDS and tuberculosis 225,666Occupational risks ? Other non-communicable diseases 205,120Alcohol use ? Unintentional injuries other than transport injuries 199,629Drug use ? Self-harm and interpersonal violence 176,098Household air pollution from solid fuels ? Neoplasms 175,842Alcohol use ? Neoplasms 168,593Alcohol use ? Transport injuries 166,825High body-mass index ? Neoplasms 155,118Alcohol use ? Diarrhea, lower respiratory infections, meningitis, and other common infectious diseases 144,849Alcohol use ? Self-harm and interpersonal violence 134,200Ambient particulate matter pollution ? Neoplasms 90,464Dietary risks ? Musculoskeletal disorders 79,949Occupational risks ? Transport injuries 68,973Tobacco smoking ? HIV/AIDS and tuberculosis 53,020Lead exposure ? Diabetes, urogenital, blood, and endocrine diseases 48,752Other Env ? Residential radon 46,637Residential radon ? Neoplasms 46,637Drug use ? HIV/AIDS and tuberculosis 41,603Alcohol use ? Diabetes, urogenital, blood, and endocrine diseases 34,055Alcohol use ? Neurological disorders 30,366Childhood underweight ? Neglected tropical diseases and malaria 22,551Tobacco smoking ? Diabetes, urogenital, blood, and endocrine diseases 21,900Occupational risks ? Neoplasms 18,461Vitamin A deficiency ? Nutritional deficiencies 7,422Drug use ? Cirrhosis of the liver 4,606Alcohol use ? Digestive diseases (except cirrhosis) 3,961Lead exposure ? Mental and behavioral disorders 2,896Drug use ? Other communicable, maternal, neonatal, and nutritional disorders 1,687Drug use ? Neoplasms 635Alcohol & Drugs 4,231,273Alcohol & DrugsAlcohol use 3,020,381Alcohol useDrug use 1,210,892Drug useAir Pollution 21,942,611Air PollutionAmbient ozone pollution 548,650Ambient ozone pollutionAmbient particulate matter pollution 6,963,544Ambient particulate matter pollutionHousehold air pollution from solid fuels 14,430,417Household air pollution from solid fuelsSexual abuse 6,281,919Sexual abuseChildhood sexual abuse 1,374,294Childhood sexual abuseIntimate partner violence 4,907,625Intimate partner violenceUndernutrition 28,000,186UndernutritionChildhood underweight 10,112,321Childhood underweightIron deficiency 10,145,794Iron deficiencySuboptimal breastfeeding 5,430,200Suboptimal breastfeedingVitamin A deficiency 1,185,772Vitamin A deficiencyZinc deficiency 1,126,100Zinc deficiencyDietary/Physical 18,824,753Dietary/PhysicalDietary risks 14,139,801Dietary risksPhysical inactivity and low physical activity 4,684,952Physical inactivity and low physical activityPhysiological 21,566,050PhysiologicalHigh blood pressure 9,598,107High blood pressureHigh body-mass index 2,517,676High body-mass indexHigh fasting plasma glucose 6,839,755High fasting plasma glucoseHigh total cholesterol 2,308,860High total cholesterolLow bone mineral density 301,652Low bone mineral densityOther Env 1,444,175Other EnvLead exposure 1,397,538Lead exposureResidential radon 46,637Residential radonOccupational risks 2,341,920Occupational risksOccupational risks 2,341,920Occupational risksTobacco 6,456,925TobaccoTobacco smoking 6,456,925Tobacco smokingWatSan 3,296,245WatSanUnimproved sanitation 2,691,430Unimproved sanitationUnimproved water source 604,815Unimproved water sourceCardiovascular and circulatory diseases 43,560,973Cardiovascular and circulatory diseasesCirrhosis of the liver 621,752Cirrhosis of the liverDiabetes, urogenital, blood, and endocrine diseases 6,819,848Diabetes, urogenital, blood, and endocrine diseasesDiarrhea, lower respiratory infections, meningitis, and other common infectious diseases 26,415,704Diarrhea, lower respiratory infections, meningitis, and other common infectious diseasesDigestive diseases (except cirrhosis) 3,961Digestive diseases (except cirrhosis)HIV/AIDS and tuberculosis 873,714HIV/AIDS and tuberculosisMental and behavioral disorders 4,002,321Mental and behavioral disordersNeoplasms 2,657,986NeoplasmsNeurological disorders 30,366Neurological disordersSelf-harm and interpersonal violence 4,034,557Self-harm and interpersonal violenceTransport injuries 235,798Transport injuriesUnintentional injuries other than transport injuries 766,316Unintentional injuries other than transport injuriesChronic respiratory diseases 10,053,370Chronic respiratory diseasesNeglected tropical diseases and malaria 22,551Neglected tropical diseases and malariaNutritional deficiencies 11,348,812Nutritional deficienciesMusculoskeletal disorders 1,124,156Musculoskeletal disordersOther communicable, maternal, neonatal, and nutritional disorders 1,687Other communicable, maternal, neonatal, and nutritional disordersOther non-communicable diseases 648,255Other non-communicable diseasesMaternal disorders 1,163,929Maternal disorders

The first column contains risk categories as defined by the comparative risk assessment of the 2010 Global Burden of Disease. The second column contains individual risk factors (each of which fits into an aforementioned risk category). The final column shows attributable DALYs by cause. Some color would help differentiate the different risks and causes, but the basic picture is clear if you spend a few minutes with the graph. Women in India, according to the 2010 GBD, predominantly lose healthy life years from CVD, chronic respiratory diseases, nutritional deficiencies, and infectious disease. A fair amount of this is attributable to air pollution.

To make this plot, I opened a CSV, copied its contents, pasted into a text field at RAW, and then used its simple, elegant GUI to generate the code for the plot. The options are a little limited now (would like to add some color, shift label positions around, etc). If I really wanted to make those changes, I could edit the code and do it manually. A really impressive showcase of what can be done in the browser and definitely worth checking out and keeping an eye on.

Shiny Server on WebFaction

Update: WebFaction released today a one-click installed for node.js, obviating Step 2 below. Leaving it in here for posterity.

Shiny “makes it super simple for R users like you to turn analyses into interactive web applications that anyone can use.” It’s a powerful tool with a relatively simple syntax. It’s great for local apps — but I wanted to set up a web-based app that others could access and that wasn’t beholden to Shiny and RStudio’s excellent beta server platform.

I host this site and a few others at WebFaction — an awesome service with little to no downtime, fast servers, and relatively flexible restrictions. Getting Shiny up and running on WebFaction required a little work.

Step 1: SSH into WebFaction. Follow the instructions on their website for your specific server(s).

Step 2: Make a source directory. Download and install node.js.

mkdir src
cd src
wget 'http://nodejs.org/dist/v0.10.20/node-v0.10.20.tar.gz'
tar -xzf node-v0.10.20.tar.gz
cd node-v0.10.20
python2.7 configure --prefix=$HOME
make PYTHON=python2.7
make PYTHON=python2.7 install

export NODE_PATH="$HOME/lib/node_modules:$NODE_PATH"
echo 'export NODE_PATH="$HOME/lib/node_modules:$NODE_PATH"' >> $HOME/.bashrc 

Step 3: Download and install R.

#install R
wget 'http://cran.us.r-project.org/src/base/R-3/R-3.0.2.tar.gz'
tar -xzf R-3.0.2.tar.gz
cd R-3.0.2
./configure --prefix $HOME
make install

Step 4: Make a temp/tmp/temporary director.

cd $HOME
mkdir tmp
chmod 777 tmp
export TMPDIR

Step 5: Download Shiny from source and install using NPM.

git clone https://github.com/rstudio/shiny-server.git
npm install -g shiny-server/

installing from NPM directly did not work — Shiny would not launch. I believe this is because you’re not allowed root access on WebFaction shared accounts.

Step 6: Launch R and install whatever packages you need.

devtools::install_github("ShinyDash", "trestletech")
devtools::install_github("shiny-incubator", "rstudio")

Step 7: Want plots to work? In your Shiny app’s global.R file, set

options(bitmapType = 'cairo')

Next up: a cron job to keep a Shiny instance running or to restart it if it goes down… and putting Shiny behind some light authentication to prevent pre-release apps from general consumption.

The Best American Infographics 2013

The Best American Infographics 2013 came in yesterday. It’s chock-full of goodness and inspiring visual displays of data. Some are nonsensical, some are dense and shocking. They’re all pretty engaging and the collection appears well-curated. Wired has a number of the selected graphics online.

The book’s introduction was written by David Byrne. I’ll add a link to the essay if it appears online. In the meantime, my favorite bit follows.

The very best of these, in my opinion, engender and facilitate an insight by visual means - allow us to grasp some relationship quickly and easily that otherwise would take many pages and illustrations and tables to convey. Insight seems to happen most often when data sets are crossed in the design of the piece - when we can quickly see the effects on something over time, for example, or view how factors like income, race, geography, or diet might affect other data. When that happens, there’s an instant “Aha!” - we can see how income affects or at least correlates with, for example, folks’ levels of education. Or, less expectedly, we might, for example, see how rainfall seems to have a profound effect on consumption of hard liquor (I made that part up). What we can get in this medium is the instant revelation of a pattern that wasn’t noticeable before.

One would hope that we could educate ourselves to be able to spot the evil infographics that are being used to manipulate us, or that are being used to hide important patterns and information. Ideally, an educated consumer of infographics might develop some sort of infographic bullshit detector that would beep when told how the trickle-down economic effect justifies fracking, for example. It’s not easy, as one can be seduced relatively easily by colors, diagrams and funny writing.

Living on Earth: Bridging Faith and Reason

Arri Eisen, a close friend, mentor, and Professor of Pedagogy at Emory University, was recently featured on Living on Earth along with two of his most unique students — Lodoe Sangpo and Thabkhe Thabkhe, Tibetan Buddhist monks learning and doing science and taking courses. Check out the interview below.

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