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Although the Centers for Disease and Prevention (CDC) reports no known cases of Ebola transmission in the United States, a Harvard School of Public Health (HSPH)/SSRS poll released today shows that 4 in 10 (39%) adults in the U.S. are concerned that there will be a large outbreak in the U.S., and a quarter (26%) are concerned that they or someone in their immediate family may get sick with Ebola over the next year.
The nationally representative poll of 1,025 adults was conducted August 13-17, 2014 by researchers at HSPH and SSRS, an independent research company. The margin of error for total respondents is +/-3.6 percentage points at the 95% confidence level.
Ebola hemorrhagic fever is a severe, often fatal disease in humans and nonhuman primates, such as monkeys, gorillas and chimpanzees. Four countries have reported infections: Guinea, Liberia, Nigeria, and Sierra Leone. Officials report 1,350 have died as of Aug. 21, 2014 and more than 2,473 people have been infected since March 2014.
The HSPH/SSRS poll found people with less education are more likely to be concerned about an outbreak in the U.S. (less than high school 50% vs. some college 36% vs. college grad or more 24%). People with less education are also more concerned they or their family will get sick with Ebola (less than high school 37% vs. some college 22% vs. college grad or more 14%). Perhaps related, those with less education are also less likely to be following the news about the Ebola outbreak in West Africa closely (total 63%; less than high school 57% and some college 62% vs. college grad or more 73%).
Two-thirds of people (68%) surveyed believe Ebola spreads "easily" ("very easily" or "somewhat easily") from those who are sick with it. This perception may contrast with CDC, World Health Organization (WHO), and other health experts who note that Ebola is not an airborne illness, and is transmitted through direct contact with infected bodily fluids, infected objects, or infected animals.
One-third of those polled (33%) believe there is "an effective medicine to treat people who have gotten sick with Ebola." According to the CDC and WHO, there is no proven anti-viral medicine, however, treating symptoms – such as maintaining fluids, oxygen levels, and blood pressure – can increase the odds of survival. To date, the media reports two people infected with Ebola overseas have been treated in the U.S.
"Many people are concerned about a large scale outbreak of Ebola occurring in the U.S.," says Gillian SteelFisher, PhD, deputy director of the Harvard Opinion Research Program and research scientist in the HSPH Department of Health Policy and Management. "As they report on events related to Ebola, the media and public health officials need to better inform Americans of Ebola and how it is spread."
The research team consists of the following members: Harvard School of Public Health: Gillian K. SteelFisher, Research Scientist and Deputy Director of HORP; Robert J. Blendon, Professor of Health Policy and Political Analysis and Executive Director of HORP; and Justin M. Sayde, Administrative and Research Manager. SSRS: Eran Ben-Porath, Vice President of Public Opinion Polling; Linda Lomelino, Associate Research Director; Kasey Meehan, Project Director; and Rebecca Sevem, Associate Project Director.
Possible sources of non-sampling error include non-response bias, as well as question wording and ordering effects. Non-response in telephone surveys produces some known biases in survey-derived estimates because participation tends to vary for different subgroups of the population. To compensate for these known biases and for variations in probability of selection within and across households, sample data are weighted by household size and composition, homeownership, cell phone/landline use and demographics (sex, age, race/ethnicity, population density, educational attainment, marital status, cell phone use, and census region) to reflect the true population. Other techniques, including random-digit dialing, replicate subsamples, and systematic respondent selection within households, are used to ensure that the sample is representative.
Source: Harvard School of Public Health