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Health concerns & regulatory role in disaster risk reduction & management. Rohan Samarajiva Course on Regulatory Design and Practice Nay Pyi Taw, September 2017. This work was carried out with the aid of a grant from the International Development Research Centre, Canada.
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Health concerns & regulatory role in disaster risk reduction & management Rohan Samarajiva Course on Regulatory Design and Practice Nay Pyi Taw, September 2017 This work was carried out with the aid of a grant from the International Development Research Centre, Canada.
It’s natural to worry . . .. And for worry to be concentrated on cancer, the scariest of all diseases.
So let us look at evidence from an expert: Dr Siddhartha Mukherjee • Assistant professor of medicine at Columbia University and staff physician at Columbia University Medical Center in New York City. • His 2010 book, The Emperor of All Maladies: A Biography of Cancer was • Awarded the 2011 Pulitzer Prize for General Non-Fiction • Named one of the 100 most influential books written in English since 1923 by the magazine Time • One of the 100 notable books of 2010 by The New York Times Magazine. • A hematologist and oncologist, Mukherjee is also known for his work on the formation of blood and the interactions between the micro-environment ("niche") and cancer cells. • Awarded fourth highest civilian award of India, the Padma Shri, in 2014.
Mukherjee (2011), Do Cellphones Cause Brain Cancer? • If a cancer-causing agent increases incidence of a particular cancer in a population then overall incidence of that cancer will rise • An aging population will seem more cancer-afflicted, even if real cancer incidence has not changed need for age adjustment • From 1990 to 2002 — the 12-year period during which cellphone users grew from 4 million to 135 million in US — the age-adjusted incidence rate for overall brain cancer remained nearly flat
Correlation without a causal mechanism? • In 2010, a larger study updated these results, examining 1992- 2006 trends and found no increase in overall incidence in brain cancer • But if population sub-divided into groups • In females ages 20 to 29 (but not in males) age-adjusted risk of cancer in front of brain grew slightly, from 2.5 cases per 100,000 to 2.6 • These cancers appear in the frontal lobe — a knuckle-shaped area immediately behind the forehead and the eye • How, or why, would a phone’s toxicity have skipped over the area nearest to it and caused a tumor in a distant site? • Most epidemiologists and biologists do not find such a tissue-skipping mechanism plausible and most doubt that there is any causal link between frontal tumors and phones
Confusing correlations • In 2010, Interphone, a study with 5000+ cases and controls from 13 countries ran for 10 years, raised even more puzzling issues • No evidence for association between brain tumors and cellphones • But when cancer and no cancer cohorts were subdivided according to frequency of mobile use • There was an apparently decreased risk of brain tumors in regular phone users, compared with rare users or nonusers; regular cellphone use seemed to reduce the risk of brain tumors • In stark contrast, very high cellphone use (measured as a user’s cumulative call time) seemed to increase the risk of a particular subtype of brain tumor
Mukherjee’s conclusion • “. . little theoretical basis for anticipating that RF energy would have significant biological effects at power levels used by modern mobile phones and their base station antennas. The epidemiological evidence for a causal association between cancer and RF energy is weak and limited. Animal studies have provided no consistent evidence that exposure to RF energy at non-thermal intensities causes or promotes cancer. Extensive in vitro studies have found no consistent evidence of [DNA damage] potential, but in vitro studies assessing the epigenetic potential of RF energy are limited. Over all, a weight-of-evidence evaluation shows that the current evidence for a causal association between cancer and exposure to RF energy is weak and unconvincing.”
What the evidence says • Mobile use does not cause cancer, according to • Two USA studies, 1992-2010 • 13 country 10-year Interphone study • 20-year Australian study
Physical and symbolic worlds, absent linking technologies Mediated interpersonal Physical world where hazards occur Symbolic world where action originates
The physical, the symbolic & their linking through ICTs, simplified Physical world where hazards occur Warnings (telecom) Mediated interpersonal TV, Radio & Cell broadcasts Symbolic world where action originates Warnings (telecom) More time to run; more lives saved
Types of hazards Optimum effect of ICTs
Early warning is a chain; A chain is as strong as its weakest link • Detection and monitoring of rapid-onset, large-scale hazards (cyclones, tsunamis, etc.) quite advanced • National warning systems can be improved • Getting the message to the people-at-risk (“last mile”) is the weakest link • Failed in Myanmar; Bangladesh; Indonesia, etc. • Risk reduction also requires that people know what to do and can do it (e.g., orderly evacuations) • False warnings and unnecessary evacuations can have serious consequences • High cyclone deaths in Bangladesh in 2007 were caused by false tsunami evacuation of 12 September 2007
Media & Telecom Operators Citizens National early warning center First responders Early warning chain (standard form)
Two easy ways to strengthen the early warning chain • Improve communication from National Early Warning Center (NEWC) to media and first responders using SMS+ (or Whatsapp, Viber) • Add cell broadcasting to public warning provided by electronic media
SMS+ for first responders & media • SMS is a point-to-point technology that is inherently susceptible to congestion if too many people come on the network at the same time • Unsuited for public warning and in immediate aftermath of disaster • Useful to alert small numbers before the news is widespread • SMS module of Sahana suite allows one-touch dissemination of 140-character message to pre-registered first responders and journalists • Additional information provided through a robust website capable of handling a spike of use
SMS+ • Immediately implementable solution that is part of widely implemented open-source disaster-management software suite, Sahana • Principal advantage is that it reaches mobile handsets that are highly likely to be within immediate reach of intended recipients
Cell broadcasting for public warning • As a broadcast mode (point-to-multipoint) CB is inherently immune to congestion • No pre-registration required, reaches all handsets within a base station area • Can be targeted to specific areas, unlike national radio and TV • Negative is that audible alert may not be possible on all handsets yet • Now practical for Myanmar • All operators must install additional software modules
What regulators can do • Ensure reliable, redundant communication links needed for • Hazard detection & monitoring • Linking warning center to media and to first responders (police, etc.) • Mandate cell broadcasting capability; work with ASEAN and others to ensure common standards, so visitors will also be protected • Create platform for interaction between operators and disaster warning entities • Standards for disaster-resilient infrastructure, including load factors and tower locations • Best arrived at/implemented with operators • Efficient management of short codes
Regulatory response • Requirements for quick response to disaster • Contact persons/numbers • Emergency kits • Mutual support arrangements • Interface between operators and government agencies • Regulatory agency to be 24/7 contactable • Tampere Convention on Provision of Telecom Resources for Disaster Mitigation & Relief Operations • National authority • Preparation of inventory can assist preparedness
Regulatory role at time of disaster • “State of exception” • Procedures for approvals/licenses/ authorizations • Customs clearance of emergency equipment • Survivors need to contact families/people need to locate loved ones • Prior arrangements re • Databases • BPO/Call centers
Regulatory role in recovery phase • Post-disaster assessments • Requirements to preserve data • Bring operators together to improve procedures • Who is to pay for damage? • If government pays, wrong incentives • If government does pay, use matching funds • Insurance requirements • Deal with the immediate problem but also ensure incentives for robust network planning are not affected
Regulatory role in recovery phase • Restoring service • Temptation to fall back to command and control mindset • Regulator can balance the political needs of government with avoidance of administrative expropriation • Provide neutral ground to work out restoration schedule • If government wants to give people free service, it should pay for it • Corporate Social Responsibility is voluntary