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Possible Side-effects from Vaccines |
Any vaccine can cause side effects. For the most part these are minor (for example, a sore arm or low-grade fever) and go away within a few days. Listed below are vaccines licensed in the United States and side effects that have been associated with each of them. |
| doses | 0.350184 |
| death | 0.335756 |
| vaccines | 0.422174 |
| rotavirus vaccine | 0.311061 |
| vision changes | 0.44157 |
| fever | 0.421549 |
| flu vaccine | 0.31094 |
| shot | 0.517698 |
| remote chance | 0.419566 |
| moderate problems | 0.355524 |
| severe allergic reaction | 0.765018 |
| severe problems | 0.393389 |
| anthrax vaccine recipients | 0.303565 |
| vaccine safety site | 0.549318 |
| pain | 0.384187 |
| Td vaccine | 0.304469 |
| vaccine safety web | 0.323678 |
|
| DTaP vaccine | 0.324165 |
| medicine | 0.427819 |
| mild problems | 0.452628 |
| severe allergic reactions | 0.454603 |
| severe pain | 0.347928 |
| Vaccine Information Statements | 0.311976 |
| people | 0.468094 |
| medical procedure | 0.433552 |
| vaccine | 0.99366 |
| person | 0.331453 |
| reactions | 0.500757 |
| information | 0.470173 |
| page | 0.370982 |
| redness | 0.310828 |
| MMR vaccine | 0.312801 |
| Vaccine Safety website | 0.305288 |
| problems | 0.80886 |
|
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Epidemiology & Geographic Distribution - Eastern Equine Encephalitis |
Eastern Equine Encephalitis is a rare disease that is caused by a virus spread by infected mosquitoes.
|
| North Carolina | 0.341327 |
| Gulf Coast | 0.339501 |
| human EEEV infections | 0.356308 |
| Arboviral Diseases Branch | 0.451298 |
| equine encephalitis virus | 0.927372 |
| human cases | 0.287406 |
| average annual incidence | 0.435711 |
| Great Lakes | 0.342415 |
| Disease Control | 0.326898 |
| virus neuroinvasive disease | 0.560428 |
| state health departments | 0.333091 |
| EEEV activity | 0.290094 |
| western equine encephalitis | 0.391036 |
| recreational activities | 0.281156 |
| greatest risk | 0.277827 |
| primary transmission cycle | 0.345725 |
| Florida | 0.239005 |
| swampy areas | 0.285807 |
| severe disease | 0.285177 |
| Great Lakes region | 0.3347 |
| national surveillance case | 0.334686 |
| page | 0.309052 |
| outdoor work | 0.281185 |
| Puerto Rico | 0.261842 |
| EEEV transmission | 0.278487 |
|
| United States | 0.343992 |
| endemic areas | 0.280838 |
| life-long immunity | 0.27843 |
| La Crosse virus | 0.361783 |
| human populations | 0.28184 |
| Eastern equine encephalitis | 0.745504 |
| PDF | 0.264388 |
| data table | 0.398117 |
| neuroinvasive disease cases | 0.453872 |
| North Dakota | 0.266121 |
| New York | 0.404611 |
| Rhode Island | 0.332541 |
| significant cross-immunity | 0.272122 |
| Print only version | 0.333595 |
| South Dakota | 0.268261 |
| Eastern seaboard | 0.274669 |
| Gulf Coast states | 0.332136 |
| New Jersey | 0.3342 |
| freshwater hardwood swamps | 0.334467 |
| infected mosquito | 0.283626 |
| New Mexico | 0.27593 |
| West Nile virus | 0.361055 |
| Human EEEV cases | 0.371964 |
| New Hampshire | 0.279537 |
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Global Health - South Africa - Epidemiology and Laboratory Capacity |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| full-time training | 0.447949 |
| endorsement | 0.25526 |
| field surveys | 0.426635 |
| leaders | 0.243265 |
| Laboratory Training Program | 0.711359 |
| two-year residency training | 0.67931 |
| African public health | 0.626621 |
| classroom instruction | 0.432323 |
| program requirements | 0.450638 |
| Public Health degree | 0.649415 |
| evaluate surveillance systems | 0.640798 |
| Content source | 0.419258 |
| HHS | 0.259726 |
| School | 0.23992 |
| total | 0.237752 |
| high-level epidemiology | 0.574068 |
| Notice | 0.238241 |
| Students | 0.236409 |
| disease control | 0.421896 |
| Pretoria | 0.315347 |
| FETP | 0.240406 |
| workers | 0.235932 |
|
| public health | 0.989197 |
| SAFETP | 0.28064 |
| national health systems | 0.710032 |
| South African participants | 0.636765 |
| epidemiologic investigations | 0.443517 |
| field assignments | 0.442189 |
| prevention measures | 0.421579 |
| Master | 0.275819 |
| policy-makers | 0.257374 |
| service program operating | 0.674423 |
| Diploma | 0.239826 |
| train other health | 0.468384 |
| non-federal site | 0.446132 |
| University | 0.275778 |
| African Field Epidemiology | 0.798057 |
| provincial epidemiologists | 0.453876 |
| residents | 0.273795 |
| field epidemiology fellows | 0.696976 |
| employees | 0.235709 |
| CDC South Africa | 0.759699 |
| relevant positions | 0.419461 |
| surveillance capacity in-country | 0.746637 |
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Veterans' Health Activities - Defining Gulf War Illness |
CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces. |
| characterized Gulf War | 0.504804 |
| previous study | 0.383975 |
| medically unexplained illnesses | 0.50348 |
| navigation Skip | 0.450593 |
| points | 0.313111 |
| investigators | 0.313301 |
| Department | 0.312839 |
| study subjects | 0.384809 |
| fibromyalgia | 0.314148 |
| different approaches | 0.383007 |
| CDC Air Force | 0.452638 |
| unexplained multi-symptom illnesses | 0.481478 |
| Gulf War Registry | 0.511237 |
| new random sample | 0.433017 |
| case definitions | 0.482015 |
| active duty soldiers | 0.432278 |
|
| list Skip | 0.452293 |
| page options Skip | 0.527221 |
| Data-driven case definitions | 0.457034 |
| Johnson Medical School | 0.449669 |
| groups | 0.324952 |
| multiple chemical sensitivity | 0.441799 |
| Dentistry | 0.313924 |
| New Jersey-Robert Wood | 0.463921 |
| Medicine | 0.313245 |
| symptoms | 0.313172 |
| Gulf War veterans | 0.944122 |
| University | 0.313257 |
| War era veterans | 0.505418 |
| Veterans Affairs | 0.451314 |
| chronic fatigue syndrome | 0.440257 |
| time | 0.313098 |
|
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Umesh Parashar, Conversations with the CDC Director |
The CDC Director’s webpage offers information on Dr. Thomas Frieden, who became the agency’s 16th director in June 2009. The pages features information on Dr. Frieden’s Weekly Focus, the Latest from Dr. Frieden (his RSS feed), and links to his bio, statements, videos, press releases, media appearances, photos, presentations, and speeches. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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E-mail Updates'Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| state drop-down list | 0.561758 |
| following steps | 0.360992 |
| drop-down list box | 0.959779 |
| HAN Update Alerts | 0.785167 |
| HAN alerts | 0.433815 |
| new HANs | 0.257545 |
|
| country drop-down list | 0.528182 |
| new HAN | 0.442328 |
| five-digit zip code | 0.493611 |
| previous steps | 0.297146 |
| delivery preferences | 0.307217 |
| e-mail address | 0.258893 |
|
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Update: Sick airline passenger, Newark | Media Statement | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| travel plans | 0.514716 |
| flight | 0.261621 |
| CDC | 0.634089 |
| abundance | 0.277723 |
| Quarantine Public Health | 0.915119 |
| Newark Liberty International | 0.911558 |
| precautionary protocols | 0.591855 |
| concern | 0.271538 |
| coordination | 0.270724 |
| medical evaluation | 0.537047 |
| state | 0.304885 |
| airline | 0.259123 |
| contact information | 0.50692 |
| passengers | 0.34967 |
| Brussels | 0.278478 |
|
| local hospital | 0.528617 |
| Border Protection | 0.52158 |
| ill passenger | 0.60597 |
| public health officials | 0.848152 |
| emergency department | 0.524503 |
| New Jersey | 0.576544 |
| Homeland Security | 0.542042 |
| Customs | 0.258154 |
| hospital officials | 0.547834 |
| Belgium | 0.261432 |
| West Africa | 0.572828 |
| Airport | 0.261129 |
| Ebola | 0.293807 |
| sick passenger | 0.692644 |
|
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Riesgo de exposición | Enfermedad del Ébola |
null |
| Ebola epidemic | 0.703909 |
| semen | 0.432775 |
| Past Ebola outbreaks | 0.753994 |
| needles | 0.415245 |
| CDC | 0.413654 |
| United States | 0.470346 |
| Ebola viruses | 0.76333 |
| objects | 0.413557 |
| syringes/sharps | 0.413512 |
| wild animals | 0.474685 |
| result | 0.413337 |
| African countries | 0.483053 |
| following countries | 0.465448 |
| direct contact | 0.478542 |
| Ebola transmission | 0.692233 |
| contact | 0.529666 |
| close contact | 0.479003 |
| man | 0.412668 |
| multiple countries | 0.468862 |
| cases | 0.422088 |
| bushmeat | 0.421825 |
| infected blood | 0.503862 |
|
| medical equipment | 0.477041 |
| public health partners | 0.528223 |
| Democratic Republic | 0.48608 |
| sex | 0.425777 |
| Ebola River | 0.757604 |
| people | 0.413334 |
| Congo | 0.417542 |
| clothes | 0.414003 |
| friends | 0.413841 |
| food | 0.413065 |
| infected wildlife | 0.500451 |
| highest risk | 0.478928 |
| West Africa | 0.468782 |
| healthcare workers | 0.468058 |
| Ebola patients | 0.757324 |
| information | 0.412716 |
| infected body fluids | 0.574698 |
| Healthcare providers | 0.476471 |
| vaginal fluids | 0.485451 |
| family | 0.413851 |
| Ebola | 0.957734 |
| humans | 0.413874 |
|
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Obesity Causes | Adult | Obesity |
Obesity is a serious concern because it is associated with poorer mental health outcomes, reduced quality of life, and the leading causes of death in the U.S. Learn more... |
| safe bike trails | 0.561519 |
| healthy diet pattern | 0.684693 |
| visit Health Effects | 0.580437 |
| health care provider | 0.588421 |
| Indirect costs | 0.566602 |
| nationwide productive costs | 0.565302 |
| vigorous intensity activity | 0.575437 |
| Additional contributing factors | 0.572402 |
| Obesity results | 0.724527 |
| complex health issue | 0.59687 |
| Health care practitioners | 0.58808 |
| obesity | 0.907087 |
| community environmental factors | 0.567637 |
| poorer mental health | 0.595951 |
| U.S. health care | 0.589266 |
| medical care costs | 0.573508 |
| healthy environment | 0.560208 |
| Obesity Research. | 0.675063 |
| family health history | 0.657123 |
| monogenic obesity | 0.699993 |
| health problems | 0.588936 |
| regular physical activity | 0.638722 |
| long term health | 0.594174 |
| Obesity Expert Panel. | 0.70845 |
| Prevent Obesity page | 0.729355 |
|
| moderate intensity activity | 0.574739 |
| healthy school environment | 0.588741 |
| United States | 0.590024 |
| weight gain | 0.587346 |
| Direct medical costs | 0.569829 |
| energy balance | 0.56392 |
| polycystic ovary syndrome | 0.558105 |
| obesity-related health reasons | 0.581094 |
| Physical Activity Guidelines | 0.5869 |
| Obesity Research.1998 | 0.681478 |
| healthy eating habits | 0.57091 |
| School Health website | 0.588346 |
| heart disease | 0.570697 |
| Healthy Food Environment | 0.590386 |
| health care | 0.629457 |
| physical activity environment | 0.596659 |
| multifactorial obesity | 0.700305 |
| fat-free dairy products | 0.563665 |
| economic impact | 0.558928 |
| healthy weight | 0.606843 |
| physical activity | 0.709002 |
| obesity epidemic | 0.755619 |
| obesity obesity-related absenteeism | 0.716291 |
| Public Health Service | 0.577243 |
|
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Testimonials from Health Care Professionals | Diabetes |
National Diabetes Prevention Program |
| single patient | 0.641346 |
| hands | 0.439638 |
| Nicollet Primary Care | 0.909187 |
| better shape. | 0.643305 |
| office | 0.439876 |
| type | 0.445839 |
| diabetes prevention lifestyle | 0.927347 |
| change programs | 0.677139 |
| Print | 0.440091 |
| outcomes | 0.448737 |
| MD | 0.599274 |
| Michael | 0.437956 |
| Missoula | 0.4484 |
| Wilmington | 0.437036 |
| Buffalo | 0.442363 |
| well-being | 0.450712 |
| Chris Corsi | 0.672393 |
| Family Physician | 0.796111 |
| partnership | 0.437476 |
| work | 0.437628 |
| patients | 0.629761 |
| lifestyle change program | 0.807022 |
| flyers | 0.438332 |
| list | 0.440062 |
| care team | 0.657069 |
|
| Park | 0.443159 |
| Venice | 0.439484 |
| Health care professionals | 0.912456 |
| colleagues… | 0.442871 |
| community… | 0.442353 |
| ‘OK | 0.440449 |
| Irene Snow | 0.659433 |
| everybody | 0.449427 |
| medicines | 0.443802 |
| United States | 0.680966 |
| FL | 0.437855 |
| advice | 0.437471 |
| Practice | 0.443101 |
| times | 0.442815 |
| Jeanine Rosner | 0.710178 |
| Miguel Fana | 0.644004 |
| community organizations | 0.624531 |
| resources | 0.442627 |
| staff | 0.440428 |
| lifestyle change | 0.877007 |
| people | 0.439613 |
| Meghan Buhler | 0.67043 |
| risk | 0.44587 |
| Fana Medical Group | 0.837816 |
|
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