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Protect Your Family from Rabies | CDC Features |
Rabies is a dangerous virus that anyone can get if they handle or get bitten by an animal that has the disease. Protect yourself and your family from rabies: stay away from wild animals and be sure pets are vaccinated every year.
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| pets | 0.336825 |
| Early symptoms | 0.297205 |
| useful barrier | 0.279987 |
| unusual animal behavior | 0.358047 |
| wild animals | 0.765322 |
| unfamiliar domestic animals | 0.369443 |
| similar risks | 0.281188 |
| direct supervision | 0.28457 |
| rabies testing | 0.452783 |
| direct bat contact | 0.342956 |
| rabid animal | 0.309115 |
| animal control | 0.44071 |
| Animal care | 0.294274 |
| family members | 0.355268 |
| domestic animals | 0.496876 |
| camp sites | 0.28043 |
| animal rabies cases | 0.567868 |
| rabies shots | 0.463475 |
| occupied spaces | 0.28023 |
| unwanted animals | 0.302249 |
| camp attendees | 0.282654 |
| natural setting | 0.283679 |
| Family pets | 0.292198 |
| potential exposures | 0.349398 |
| best ways | 0.29365 |
|
| rabid wild animals | 0.401132 |
| camp official | 0.28204 |
| rabies-suspect animal | 0.297916 |
| bats | 0.375266 |
| regular basis | 0.286777 |
| camp situations | 0.277212 |
| rabies vaccinations | 0.46306 |
| close contact | 0.28782 |
| potential exposure | 0.282492 |
| dead bats | 0.311207 |
| higher risk | 0.286521 |
| life-threatening situations | 0.28008 |
| dead wild animals | 0.37363 |
| dangerous virus | 0.293823 |
| wildlife conservation agencies | 0.349567 |
| rabies | 0.935109 |
| Contact animal control | 0.366057 |
| people | 0.360318 |
| following link | 0.279969 |
| stray animals | 0.354887 |
| main animals | 0.310414 |
| healthcare provider | 0.286688 |
| risk | 0.290059 |
| ferrets indoors | 0.288856 |
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Core State Preconception Health Indicators - Pregnancy Risk Assessment Monitoring System and Behavioral Risk Factor Surveillance System, 2009 |
Cheryl L. Robbins, PhD. |
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Flood Water After a Disaster or Emergency|Floods |
Information on floods. Provided by the Centers for Disease Control and Prevention (CDC). |
| clean water | 0.466617 |
| fallen power lines | 0.299952 |
| rubber gloves | 0.342833 |
| foam-rubber items | 0.236785 |
| hazardous chemical containers | 0.28674 |
| flood water areas | 0.475965 |
| NIOSH-approved N-95 respirator | 0.348857 |
| uncontaminated clothes | 0.384387 |
| shallow water | 0.269325 |
| Practice good hygiene | 0.30418 |
| fallen power line | 0.291759 |
| carpet padding | 0.232072 |
| hot water | 0.565911 |
| clear water | 0.341389 |
| emergency medical help | 0.302523 |
| Wash children | 0.241593 |
| personal protective equipment | 0.337832 |
| Wear rubber boots | 0.317507 |
| certain coastal waters | 0.329412 |
| immediate medical attention | 0.749183 |
| normal storage places | 0.292973 |
| shallow standing water | 0.356601 |
| household chlorine bleach | 0.495872 |
| downed power lines | 0.304735 |
| sewage water | 0.294302 |
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| old wound | 0.253347 |
| cleanup | 0.393488 |
| CDC Healthy Water | 0.36706 |
| flood waters | 0.942498 |
| overhead power lines | 0.297831 |
| wound care | 0.359211 |
| baby toys | 0.231702 |
| onsite waste-water | 0.355936 |
| affected area | 0.553129 |
| Bleach section | 0.230173 |
| rubber boots | 0.345045 |
| natural disaster | 0.30705 |
| open wound | 0.260698 |
| air conditioning units | 0.336034 |
| flood water | 0.676765 |
| Seek medical attention | 0.30869 |
| open wounds | 0.412015 |
| dish detergent | 0.253164 |
| Emergency Wound Care | 0.33902 |
| potential chemical hazards | 0.295102 |
| power lines | 0.368081 |
| paper products | 0.233144 |
| Wash clothes | 0.282108 |
| chemical hazards | 0.31402 |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0073ee |
Volume 10 — February 14, 2013. |
| Disease Control | 0.360502 |
| Parent-Reported Medication Rates | 0.738052 |
| Public Health Service | 0.654567 |
| affiliated institutions | 0.35763 |
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| Human Services | 0.364011 |
| Prev Chronic Dis | 0.929461 |
| Attention-Deficit/Hyperactivity Disorder | 0.472464 |
| Demographic Variation | 0.449163 |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 13_0120 |
Volumen 10 — el 05 de septiembre de 2013. |
| Elizabeth Dodson | 0.325662 |
| Aushra Shatchkute | 0.324507 |
| Elizabeth Baker | 0.324416 |
| An Evaluation | 0.323198 |
| Gunter Diem | 0.328623 |
| internacionales wesley s | 0.340623 |
| Jacobs JA | 0.323917 |
| Shannon M | 0.323774 |
| International Practitioners | 0.323295 |
| Julie A | 0.323346 |
| Gibbert WS | 0.323061 |
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| Dodson E | 0.323236 |
| Wayne Giles | 0.323108 |
| Diem G | 0.324754 |
| salud pública | 0.954592 |
| profesionales médicos | 0.32374 |
| Keating SM | 0.32511 |
| Kathleen N | 0.323447 |
| Vilius Grabauskas | 0.323298 |
| Chronic Dis | 0.324658 |
| Impact Among US | 0.340242 |
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Ebola Virus Disease in Health Care Workers - Sierra Leone,2014 |
On December 9, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| potential Ebola | 0.502941 |
| ill person | 0.419113 |
| general care facilities | 0.401996 |
| Ebola reporting | 0.488417 |
| Ebola cumulative incidence | 0.513665 |
| Leone Ebola Response | 0.542 |
| HCW patients | 0.408251 |
| Ebola care facilities | 0.599248 |
| Kenema General Hospital | 0.475713 |
| Ebola outbreak | 0.518169 |
| non-HCW Ebola patients | 0.530958 |
| HCWs | 0.576105 |
| health care facility | 0.383933 |
| Ebola wards | 0.494985 |
| standard operating procedures | 0.40451 |
| broad range | 0.384438 |
| personal protective equipment | 0.551901 |
| inadequate training | 0.384198 |
| HCW Ebola cases | 0.610137 |
| Global Health | 0.384802 |
| health facility administrators | 0.475616 |
| health care services | 0.384113 |
| ebola virus disease | 0.596402 |
| health workforce | 0.42204 |
| Ebola incidence rate | 0.522588 |
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| public health events | 0.420725 |
| health care facilities | 0.397324 |
| low-risk Ebola zones | 0.522896 |
| Ebola patients | 0.71048 |
| Health care worker | 0.390586 |
| Sierra Leone | 0.874388 |
| Hemorrhagic Fever database | 0.529939 |
| Sierra Leone health | 0.420804 |
| dedicated Ebola treatment | 0.515407 |
| Ebola cases | 0.940656 |
| HCW Ebola patients | 0.579031 |
| site visits | 0.387154 |
| health care workers | 0.430584 |
| health care | 0.529287 |
| national Viral Hemorrhagic | 0.46407 |
| live Ebola patient | 0.520743 |
| laboratory-confirmed Ebola cases | 0.589228 |
| Kenema District | 0.425899 |
| Viral Hemorrhagic Fever | 0.597424 |
| infection prevention | 0.657079 |
| Ebola incidence | 0.556695 |
| Ebola patient | 0.594626 |
| probable Ebola | 0.517241 |
| control measures | 0.38256 |
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GYRE: The Plastic Ocean |
David J. Sencer CDC Museum: Watching Hands: Artists Respond to Keeping Well |
| multiple perspectives | 0.466443 |
| remarkable visual narrative | 0.609448 |
| Header Image courtesy | 0.620382 |
| Feb. | 0.355497 |
| complex relationship | 0.480463 |
| gyre | 0.488958 |
| beach litter | 0.486758 |
| contemporary culture | 0.479952 |
| National Center | 0.473126 |
| Space | 0.331347 |
| Environmental Health | 0.471681 |
| archaeological approach | 0.474246 |
| Curator | 0.343349 |
| Sencer CDC Museum | 0.987389 |
| Plastic Ocean | 0.626744 |
| Anne Percoco | 0.466795 |
| throwaway products | 0.484817 |
| unique art | 0.482111 |
| entry | 0.332447 |
| Louise E. Shaw | 0.683296 |
| Mandy Barker | 0.476191 |
| Jan. | 0.332356 |
| Environmental Health/Agency | 0.472597 |
| Asset Management | 0.471061 |
| plastic trash | 0.506237 |
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| Anchorage Museum | 0.483054 |
| Office | 0.364916 |
| decades artists | 0.484297 |
| community-based work | 0.472235 |
| works | 0.349617 |
| David J. Sencer | 0.957281 |
| Driver | 0.332517 |
| tsunami | 0.333621 |
| world | 0.375074 |
| J. Sencer CDC | 0.994539 |
| Alaska | 0.357626 |
| plastic packaging | 0.491296 |
| Vehicle inspection | 0.497362 |
| modern convenience | 0.486824 |
| ocean biosphere | 0.493758 |
| Noncommunicable Disease | 0.471967 |
| consumption | 0.373293 |
| people | 0.331299 |
| artist Pam Longobardi | 0.645873 |
| 26-June | 0.336127 |
| special tour | 0.507217 |
| science exhibition | 0.481941 |
| provocative look | 0.473796 |
| Disease Registry | 0.472254 |
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African Union and U.S. CDC Partner to Launch African CDC |
Teen births continue to decline in the U.S., but still more than 273,000 infants were born to teens ages 15 to 19 in 2013. Childbearing during the teen years can carry health, economic, and social costs for mothers and their children. |
| public health domains | 0.420019 |
| advise African CDC | 0.604658 |
| Response Unit | 0.449421 |
| U.S. CDC | 0.665109 |
| African CDC. | 0.393492 |
| African CDC leadership | 0.674617 |
| African Union Special | 0.461738 |
| Disease Control | 0.445273 |
| African epidemiologists | 0.407897 |
| African Union | 0.705129 |
| African ownership | 0.393482 |
| Nkosazana Dlamini Zuma | 0.407945 |
| CDC Coordinating Center | 0.624279 |
| African Surveillance | 0.406082 |
| African CDC | 0.950868 |
| CDC Director Tom | 0.604885 |
| future health emergency | 0.421787 |
| public health emergencies | 0.436826 |
| African CDC partners | 0.597303 |
| Emergency Operations Center | 0.398841 |
| public health experts | 0.425247 |
| African Centres | 0.442159 |
| technical expertise | 0.396996 |
| CDC Media Relations | 0.549828 |
| public health entities | 0.421934 |
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| African CDC Coordinating | 0.731669 |
| global health security | 0.501831 |
| public health institute | 0.448737 |
| health security work | 0.412341 |
| African Union Member | 0.442241 |
| African Union Commission | 0.518724 |
| DC –A Memorandum | 0.409343 |
| public health responders | 0.434043 |
| African CDC Surveillance | 0.692729 |
| African countries | 0.401849 |
| U.S. health protection | 0.422341 |
| AU geographic regions | 0.390569 |
| public health | 0.690811 |
| State John Kerry | 0.402739 |
| African citizens. Partners | 0.431858 |
| address complex health | 0.424387 |
| African continent | 0.395735 |
| health agencies | 0.38898 |
| African Ebola epidemic | 0.4715 |
| Regional Collaborating Centers | 0.643177 |
| Member States | 0.443514 |
| African ministries | 0.411305 |
| field epidemiologists | 0.411255 |
| Regional Economic Communities | 0.388758 |
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Disparities in Who Receives Weight-Loss Advice From a Health Care Provider: Does Income Make a Difference? |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| income | 0.245199 |
| weight-loss advice | 0.947833 |
| care provider advice | 0.224394 |
| health insurance | 0.299571 |
| health care provider | 0.76202 |
| higher odds | 0.38398 |
| insurance status | 0.239116 |
| health status | 0.254397 |
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| health insurance status | 0.227083 |
| respondents | 0.203934 |
| racial/ethnic minority | 0.205848 |
| obese adults | 0.211571 |
| weight-loss advice aligns | 0.212531 |
| health care providers | 0.27705 |
| multivariate logistic regression | 0.216561 |
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Current Cigarette Smoking Among Adults - United States,2005-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| smoking-related disease | 0.52228 |
| health insurance | 0.577961 |
| state-sponsored health plans | 0.560061 |
| sexual orientation | 0.537885 |
| private coverage | 0.498265 |
| National Health Interview | 0.532606 |
| psychological distress | 0.960925 |
| state-sponsored health plan | 0.499122 |
| private health insurance | 0.544441 |
| Health Insurance Program | 0.499779 |
| anti-tobacco mass media | 0.567621 |
| higher smoking prevalence | 0.524541 |
| psychological distress status§§ | 0.509864 |
| moderate psychological distress | 0.533322 |
| smoking status | 0.513446 |
| daily living | 0.547121 |
| high psychological distress | 0.582563 |
| current cigarette smoking | 0.574346 |
| health insurance coverage | 0.514502 |
| Health Interview Survey | 0.532105 |
| persons | 0.539312 |
| cigarette smoking persist | 0.541377 |
| mass media campaigns | 0.563592 |
| cigarettes | 0.52998 |
| smoking prevalence | 0.782578 |
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| federal poverty level | 0.501149 |
| United States | 0.523389 |
| low psychological distress | 0.533952 |
| adults | 0.624855 |
| comprehensive smoke-free laws | 0.563699 |
| tobacco price increases | 0.561837 |
| highest smoking prevalence | 0.533766 |
| U.S. Census Bureau | 0.555331 |
| cigarette smoking | 0.740726 |
| Kessler psychological distress | 0.530205 |
| smoking prevalence persist | 0.521189 |
| adult smoking prevalence | 0.518044 |
| highest smoking prevalences | 0.497973 |
| family income | 0.523746 |
| General Education Development | 0.49822 |
| U.S. adults | 0.623246 |
| daily smokers | 0.609817 |
| health | 0.579199 |
| cigarette smoking prevalence | 0.688221 |
| psychological distress status | 0.511773 |
| tobacco cessation counseling | 0.509533 |
| commonly used tobacco | 0.49831 |
| psychological distress scale | 0.53099 |
| American Indian/Alaska Native | 0.504407 |
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