| 512 |
Centers for Disease Control and Prevention |
Html |
en |
Protect Your Baby with Immunization |
Immunization is one of the best ways parents can protect their infants from 14 serious childhood diseases before age 2. Check to see if your baby is up to date on immunizations. |
| country | 0.454443 |
| CDC | 0.499264 |
| insurance provider | 0.480874 |
| administration fee | 0.558215 |
| Measles cases | 0.552545 |
| children | 0.770176 |
| VFC vaccine | 0.49545 |
| best protection | 0.487405 |
| childhood illnesses—like measles | 0.622744 |
| best ways parents | 0.591102 |
| young children | 0.581464 |
| disease protection | 0.499751 |
| eligible child | 0.505934 |
| infants | 0.46371 |
| childhood diseases | 0.508406 |
| following diseases | 0.493059 |
| immunization rates | 0.51253 |
| unvaccinated U.S. residents | 0.567069 |
| recent study | 0.498686 |
| eligibility requirements | 0.488066 |
| highest risk | 0.495036 |
| vaccine website | 0.50057 |
| outbreaks | 0.504382 |
| U.S. Measles | 0.550109 |
|
| United States | 0.904234 |
| immunization schedule | 0.816016 |
| vaccines | 0.7819 |
| young babies | 0.500597 |
| Health page | 0.490564 |
| vaccination protection | 0.486862 |
| babies | 0.508214 |
| potentially life-threatening diseases | 0.573156 |
| record high levels | 0.565039 |
| vfc program | 0.539725 |
| whooping cough deaths | 0.611367 |
| VFC vaccines | 0.605903 |
| case counts | 0.498826 |
| eligible children | 0.558035 |
| devastating consequences | 0.500644 |
| health insurance plans | 0.552469 |
| staff members | 0.490569 |
| Visit CDC | 0.489502 |
| whooping cough | 0.789417 |
| federal program | 0.487577 |
| vaccine-preventable diseases | 0.784676 |
| family | 0.460215 |
| measles | 0.635262 |
| childhood vaccines | 0.555071 |
|
CLICK HERE |
| 4679 |
Centers for Disease Control and Prevention |
Html |
en |
Seal Up! | Rodents |
null |
| nickel | 0.226415 |
| checking | 0.213593 |
| small holes | 0.81935 |
| trailer skirtings | 0.639743 |
| half dollar | 0.686582 |
| entry holes | 0.741885 |
| house | 0.256056 |
| rodents | 0.587121 |
| home | 0.254806 |
| garages | 0.221623 |
| large holes | 0.78457 |
| Fix gaps | 0.738877 |
|
| cement | 0.208513 |
| lath metal | 0.728338 |
| size | 0.256646 |
| caulk | 0.283913 |
| Outbuildings | 0.254392 |
| local hardware store | 0.904964 |
| steel wool | 0.992687 |
| Mice | 0.230663 |
| lath screen | 0.752412 |
| rats | 0.229588 |
| hardware cloth | 0.559968 |
|
CLICK HERE |
| 6923 |
Centers for Disease Control and Prevention |
Html |
en |
Occupational Phosphine Gas Poisoning at Veterinary Hospitals from Dogs that Ingested Zinc Phosphide - Michigan, Iowa, and Washington, 2006-2011 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| PH3 poisoning | 0.878139 |
| veterinary hospital | 0.876611 |
| PH3 toxicity | 0.596465 |
| Public Health | 0.490441 |
| American Veterinary Medical | 0.539942 |
| poisoning case definition | 0.452063 |
| adverse health effects | 0.443818 |
| different veterinary hospitals | 0.45474 |
| occupational PH3 poisoning | 0.767385 |
| PH3 inhalation | 0.647333 |
| veterinary staff members | 0.643445 |
| poisoning case | 0.465797 |
| female veterinary technician | 0.446249 |
| Washington veterinary hospital | 0.4706 |
| Washington veterinary association | 0.44874 |
| state poison control | 0.74047 |
| pet owners | 0.541463 |
| phosphine product precautions | 0.531259 |
| veterinary hospitals | 0.480021 |
| Community Health | 0.489147 |
| multiple poisoning symptoms | 0.481005 |
| Michigan veterinary hospital | 0.471409 |
| poisoning cases | 0.43663 |
| staff members | 0.959985 |
|
| Rebecca J. Tsai | 0.478448 |
| examination room | 0.459516 |
| unintentional rodenticide poisoning | 0.459397 |
| health | 0.537873 |
| female staff member | 0.437575 |
| Veterinary Medical Association | 0.538387 |
| Iowa veterinary hospital | 0.469875 |
| medical care | 0.542828 |
| Washington State Department | 0.660181 |
| veterinary hospital staff | 0.606654 |
| hospital staff members | 0.593459 |
| PH3 exposure | 0.619145 |
| snap traps | 0.474076 |
| case definition | 0.46545 |
| poison control center | 0.836542 |
| PH3) gas. | 0.60964 |
| alternative methods | 0.478196 |
| PH3 | 0.892691 |
| stomach acid | 0.473636 |
| hospital emergency department | 0.445177 |
| PH3 poisonings | 0.610756 |
| mole control | 0.472445 |
| dog | 0.440528 |
|
CLICK HERE |
| 8405 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Caregiving Activities - Aging |
Promoting the Health and Well-being of Caregivers for Older Adults |
| Risk Factor Surveillance | 0.97807 |
| prospective caregivers | 0.698024 |
| potentially smaller pool | 0.659128 |
| family member | 0.689271 |
| caregiving status | 0.654193 |
| Critical Issue Brief | 0.658674 |
| caregiver age | 0.651003 |
| Older American Indians | 0.656334 |
| Disease Control | 0.679729 |
| 10-item Caregiver Module | 0.788071 |
| care recipient | 0.62009 |
| BRFSS survey | 0.760287 |
| potential caregivers | 0.750934 |
| Communities Face Aging | 0.647087 |
| non-Indian caregivers | 0.753829 |
| Alaska Native Communities | 0.665326 |
| Indian family caregivers | 0.802602 |
| general U.S. population | 0.66458 |
| Public Health Road | 0.660552 |
| Chronic Disease Directors | 0.692549 |
| Fewer Caregivers | 0.684168 |
| long-term care services | 0.692606 |
| Caregiver Ratio Index | 0.730119 |
| M. Adult caregivers | 0.771423 |
| Behavioral Risk Factor | 0.978804 |
|
| Action Guide | 0.821835 |
| Chronic Disease | 0.756216 |
| state’s BRFSS | 0.616464 |
| Regional Caregiving Reports | 0.750167 |
| regular care | 0.64517 |
| Alzheimer’s disease | 0.626133 |
| Healthy Brain Initiative | 0.644394 |
| caregivers | 0.838097 |
| IHS Primary Care | 0.685012 |
| annual Behavioral Risk | 0.693409 |
| Native Adult Caregivers | 0.761225 |
| McGuire | 0.643282 |
| American Indian/Alaskan Native | 0.678382 |
| evidence-based caregiver support | 0.745226 |
| 50 states | 0.622923 |
| indian country | 0.649421 |
| traditional family value | 0.677376 |
| BRFSS Caregiving module | 0.793575 |
| lifelong care | 0.622611 |
| caregiver interventions | 0.660416 |
| adult day care | 0.628056 |
| 8-item Caregiving module | 0.775473 |
| Dementia Caregivers | 0.719227 |
| brfss caregiver module | 0.92245 |
|
CLICK HERE |
| 8561 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - War Stories, Paul J. Burke |
War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat. |
| high school | 0.476259 |
| coffins | 0.352645 |
| list Skip | 0.678267 |
| pandemic flu event | 0.712142 |
| recruit training base | 0.614829 |
| part–time | 0.328173 |
| page options Skip | 0.84117 |
| father | 0.37868 |
| job selling snacks | 0.631516 |
| David P. Burke | 0.690262 |
| navigation Skip | 0.680546 |
| Waltham | 0.343157 |
|
| Paul J. Burke | 0.65685 |
| Fort Devens | 0.916481 |
| cars | 0.327809 |
| railroad trains | 0.53098 |
| Storyteller | 0.344441 |
| Massachusetts | 0.329074 |
| Masachusetts | 0.331189 |
| railroad station | 0.477706 |
| time | 0.327922 |
| local trains | 0.516615 |
| recruits | 0.339345 |
|
CLICK HERE |
| 9809 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Obesity, Mortality, and Life Years Lost Associated With Breast Cancer in Nonsmoking US Women, National Health Interview Survey, 1997 - 2000 - CDC |
The relationship between obesity and breast cancer has been extensively investigated. However, how obesity and breast cancer interplay to affect mortality and life expectancy of women in the United States has not been well studied. |
| female breast cancer | 0.591942 |
| data | 0.556346 |
| relevant financial relationships | 0.574214 |
| breast cancer diagnosis | 0.612124 |
| AMA PRA | 0.558602 |
| breast cancer interplay | 0.620935 |
| breast cancer deaths | 0.583854 |
| life | 0.669742 |
| Nonobese breast cancer | 0.590024 |
| blacks | 0.577294 |
| Linked Mortality Public-Use | 0.568308 |
| breast cancers | 0.560136 |
| whites | 0.573983 |
| breast cancer status | 0.634108 |
| premenopausal breast cancer | 0.593926 |
| NHIS Linked Mortality | 0.567738 |
| breast cancer progression | 0.580979 |
| obesity | 0.578973 |
| public health | 0.570211 |
| racial groups | 0.698026 |
| BMI | 0.586675 |
| obese racial groups | 0.569338 |
| obese whites | 0.560589 |
| fewer breast cancer | 0.584426 |
|
| nonobese women | 0.575014 |
| breast cancer patients | 0.632326 |
| Lisa M. Pollack | 0.574835 |
| postmenopausal breast cancer | 0.619834 |
| breast cancer | 0.973764 |
| relative risks | 0.57681 |
| Health Interview Survey | 0.556459 |
| Mortality Public-Use Files | 0.569783 |
| class III obese | 0.568094 |
| breast cancer survivors | 0.598396 |
| breast cancer mortality | 0.644412 |
| obesity status | 0.560355 |
| mortality rate | 0.558918 |
| life expectancy | 0.57447 |
| Breast cancer information | 0.593021 |
| obese blacks | 0.564223 |
| breast cancer cases | 0.6048 |
| black women | 0.56066 |
| obese women | 0.641437 |
| obese black woman | 0.556758 |
| age | 0.578376 |
| women | 0.683288 |
| Breast Cancer Res | 0.580142 |
|
CLICK HERE |
| 11606 |
Centers for Disease Control and Prevention |
Html |
en |
Meningococcal | Home | CDC |
Meningococcal disease can refer to any illness that is caused by Neisseria meningitidis, also known as meningococcus bacteria. |
| influenza | 0.621064 |
| bacteria | 0.653478 |
| illnesses | 0.624069 |
| fever | 0.618464 |
| throat secretions | 0.717692 |
| stiff neck | 0.699052 |
| type | 0.620399 |
| meningococcal vaccines | 0.837906 |
| comprehensive information | 0.692042 |
| septicemia | 0.632317 |
| medical attention | 0.700043 |
| close quarters | 0.705763 |
| spinal cord | 0.706707 |
| meningococcus | 0.620291 |
| vomiting | 0.62337 |
| illness | 0.621182 |
| bacteremia | 0.61861 |
| sudden onset | 0.701826 |
|
| meningitis | 0.625368 |
| brain | 0.618722 |
| risk factor | 0.693746 |
| flu | 0.620684 |
| nausea | 0.62449 |
| Doctors | 0.618292 |
| bloodstream infections | 0.721708 |
| symptoms | 0.630815 |
| meningococcal disease | 0.993228 |
| rash | 0.624094 |
| best defense | 0.697276 |
| Neisseria | 0.635406 |
| lining | 0.621509 |
| exchange | 0.618352 |
| sensitivity | 0.621244 |
| headache | 0.620433 |
| antibiotics | 0.623619 |
|
CLICK HERE |
| 12169 |
Centers for Disease Control and Prevention |
Html |
en |
Meningitis | Lab Manual | Id and Characterization of Neisseria | CDC |
Primary Culture and Presumptive Identification Laboratory Methods. |
| saline | 0.447735 |
| filter paper | 0.517411 |
| strips | 0.437671 |
| saline control | 0.424799 |
| cytochrome oxidase | 0.419206 |
| antisera bind | 0.459437 |
| characterization testing procedures | 0.418746 |
| available antisera | 0.473704 |
| µl | 0.535836 |
| nongroupable N. meningitidis | 0.531607 |
| colonies | 0.440578 |
| Well-characterized QC strains | 0.439456 |
| lower portion | 0.41378 |
| oxidase reagent | 0.776023 |
| carbohydrate utilization | 0.602541 |
| glass slide | 0.422348 |
| slide | 0.452601 |
| cell suspension | 0.468406 |
| individual serogroup-specific antisera | 0.509103 |
| proper SASG reaction | 0.413641 |
| stock oxidase powder | 0.452282 |
| Polyvalent antisera | 0.468027 |
| room temperature | 0.5144 |
| SASG testing | 0.454515 |
| oxidase test | 0.493481 |
|
| example qc sheet | 0.461348 |
| Kovac’s oxidase | 0.431068 |
| plate | 0.41455 |
| N. meningitidis | 0.942392 |
| sodium acetate buffer | 0.45003 |
| antisera | 0.691794 |
| CTA sugars | 0.578039 |
| µl inoculation loops | 0.519058 |
| negative QC strain | 0.502174 |
| 5-10 µl | 0.446776 |
| different serogroup-specific antisera | 0.506842 |
| CTA sugar | 0.492406 |
| color change | 0.506204 |
| costly antisera | 0.490382 |
| carbohydrate utilization test | 0.443335 |
| serogroup-specific antisera | 0.671632 |
| CTA sugar media | 0.481543 |
| saline negative control | 0.428869 |
| Figure | 0.423715 |
| Carbohydrate utilization tests | 0.413996 |
| BAP | 0.479971 |
| CTA sugar results | 0.414676 |
| N. sicca QC | 0.449756 |
| µl disposable loop | 0.472446 |
|
CLICK HERE |
| 12610 |
Centers for Disease Control and Prevention |
Video |
en |
Video: CDC Responds to Earthquake in Haiti |
CDC Health Scientist Dr. W. Roodly Archer, born in Haiti, is one of the more than 300 CDC employees who has helped Haiti recover after the 2010 earthquake. Hear her story about making a difference in Haiti.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://www.cdc.gov/globalhealth/video/haiti/haiti.htm |
| Haiti | 0.694955 |
| Earthquake | 0.668098 |
|
|
CLICK HERE |
| 15563 |
Centers for Disease Control and Prevention |
Html |
en |
Type 2 Diabetes: All in the Family? |
null |
| family members | 0.716599 |
| risk factors | 0.431036 |
| certain habits | 0.471154 |
| lifestyle coach | 0.431206 |
| share experiences | 0.411363 |
| Diabetes Program | 0.719725 |
| type | 0.365761 |
| mm Hg | 0.491318 |
| Family history | 0.4361 |
|
| healthy lifestyle—including | 0.436429 |
| good news | 0.438084 |
| physical activity | 0.435476 |
| National Diabetes Prevention | 0.931271 |
| lifestyle changes | 0.435169 |
| better checkups | 0.462223 |
| high blood pressure | 0.727292 |
| CDC Diabetes | 0.809017 |
| diabetes | 0.972951 |
|
CLICK HERE |