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Study on the risk of COVID-19 among front-line health workers compared with thegeneral community

http://www.thelancet-press.com/embargo/hcwcovid.pdf

Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study

Summary Background Data for front-line health-care workers and risk of COVID-19 are limited. We sought to assess risk of COVID-19 among front-line health-care workers compared with the general community and the effect of personal protective equipment (PPE) on risk.

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Feature Why We’re Losing the Battle With Covid-19

The escalating crisis in Texas shows how the chronic underfunding of public health has put America on track for the worst coronavirus response in the developed world.

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US Flood Risk 'Severely Underestimated'

           

During Hurricane Harvey, Port Arthur in Texas experienced some the most extreme impacts of flooding - Getty Images

Scientists and engineers have teamed up across the Atlantic to "redraw" the flood map of the US.

bbc.com - by Victoria Gill - 11 December 2017

Their work reveals 40 million Americans are at risk of having their homes flooded - more than three times as many people as federal flood maps show.

The UK-US team say they have filled in "vast amounts of missing information" in the way flood risk is currently measured in the country.

They presented the work at the 2017 American Geophysical Union meeting.

(CLICK HERE - READ COMPLETE ARTICLE)

CLICK HERE - 2017 American Geophysical Union meeting

 

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Migration - Data - Maps - Information

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United Nations High Commissioner for Refugees (UNHCR) - Figures at a Glance
http://www.unhcr.org/en-us/figures-at-a-glance.html

United Nations Department of Economic and Social Affairs - Population Division - International Migration
http://www.un.org/en/development/desa/population/migration/data/estimates2/estimates15.shtml

Faulty modeling studies led to overstated predictions of Ebola outbreak

MEDICAL EXPRESS                                                                       MARCH 31, 2015

(scroll down for complete paper.)

Frequently used approaches to understanding and forecasting emerging epidemics—including the West African Ebola outbreak—can lead to big errors that mask their own presence, according to a University of Michigan ecologist and his colleagues.

Last September, the U.S. Centers for Disease Control and Prevention estimated—based on computer modeling—that Liberia and Sierra Leone could see up to 1.4 million Ebola cases by January 2015 if the viral disease kept spreading without effective methods to contain it. Belatedly, the international community stepped up efforts to control the outbreak, and the explosive growth slowed.

"Those predictions proved to be wrong, and it was not only because of the successful intervention in West Africa," King said. "It's also because the methods people were using to make the forecasts were inappropriate."

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Ebola in Graphs: The toll


THE ECONOMIST                                                                                                    Jan. 1, 2015
THE first reported case in the Ebola outbreak ravaging west Africa dates back to December 2013, in Guéckédou, a forested area of Guinea near the border with Liberia and Sierra Leone. Travellers took it across the border: by late March, Liberia had reported eight suspected cases and Sierra Leone six. By the end of June 759 people had been infected and 467 people had died from the disease, making this the worst ever Ebola outbreak. The numbers keep climbing. As of December 28th, 20,206 cases and 7,905 deaths had been reported worldwide, the vast majority of them in these same three countries. Many suspect these estimates are badly undercooked.
See complete set of graphs.
http://www.economist.com/blogs/graphicdetail/2015/01/ebola-graphics

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