Mining for coal, diamond, gold and other minerals has been associated with some of the greatest disasters in occupational history, with recent mine collapses in Chile, West Virginia, and China capturing headlines. The environmental impact of mining, along with the use of gold and “conflict diamonds” to fund proxy armies, has also been the subject of novels and documentaries.
But from a public health perspective, the dangers of mines are not isolated to dramatic explosions, trapped miners and guerilla wars; the epidemiology of mining, in fact, suggests that the occupation carries with it a unique set of secondary effects on the rest of the population. In this week’s post, we look at the evidence suggesting that mining amplifies infectious disease epidemics (especially tuberculosis, TB) on a regional and worldwide scale. We look at how the use of statistics and simulation models can enable us to investigate the broad effects of mining on a wider population, as well as compare alternative policy options to control the epidemic effects of mining on TB.

There’s been increasing controversy about what to do in response to the persisting epidemic. Should we distribute vaccines, even though the epidemic has already started? Are antibiotics useful, even though the classical medical textbooks say that hydration alone should be sufficient to avert death? Are clean water provisions sufficient? And, of course, how much money do we need for all of this?