| 4768 |
Centers for Disease Control and Prevention |
Html |
en |
Improving population health: the business community imperative. |
null |
| health intervention strategies | 0.533719 |
| health education | 0.50237 |
| community health indicators | 0.520784 |
| health care reform | 0.515955 |
| health coalitions | 0.544535 |
| health behaviors | 0.499794 |
| high health care | 0.542183 |
| employers | 0.521437 |
| individual health behaviors | 0.495824 |
| population health | 0.969643 |
| health care services | 0.531812 |
| U.S. health care | 0.510794 |
| workforce health | 0.582918 |
| public health officials | 0.49857 |
| health care costs | 0.590302 |
| community health intervention | 0.553558 |
| self-reported health status | 0.498827 |
| community health | 0.682662 |
| state public health | 0.497173 |
| health care management | 0.527164 |
| population health strategies | 0.574028 |
| business leaders | 0.645589 |
| United States | 0.516341 |
| evidence-based worksite health | 0.525979 |
|
| broader community health | 0.52773 |
| health improvement strategies | 0.510614 |
| Florida Health Care | 0.520289 |
| worksite health | 0.538878 |
| population health status | 0.562368 |
| poor population health | 0.559831 |
| population health score | 0.530571 |
| workforce health status | 0.517842 |
| health care | 0.926851 |
| population health improvement | 0.637356 |
| Business-led health coalitions | 0.506618 |
| worksite health promotion | 0.52218 |
| health care purchaser | 0.513288 |
| health promotion programs | 0.497133 |
| National Business Coalition | 0.516901 |
| health education program | 0.50166 |
| business community | 0.583441 |
| workforce health improvement | 0.518832 |
| local health care | 0.521265 |
| population health outcomes | 0.548483 |
| purchasing health care | 0.531895 |
| Typical population health | 0.529834 |
| health insurance premiums | 0.513975 |
| employer-based health coalitions | 0.509038 |
|
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| 5414 |
Centers for Disease Control and Prevention |
Html |
en |
Forecasting diabetes prevalence in California: a microsimulation. |
null |
| annual BMI decrease | 0.602866 |
| diabetes prevention | 0.446561 |
| Health Forecasting Tool | 0.432058 |
| mean BMI decline | 0.471537 |
| lowest prevalence | 0.451262 |
| BMI distribution | 0.566739 |
| scenarios | 0.431689 |
| type | 0.565502 |
| higher initial BMI | 0.462742 |
| gradual BMI decrease | 0.541494 |
| annual BMI decline | 0.471764 |
| individual life courses | 0.429215 |
| baseline scenario | 0.523265 |
| BMI reduction | 0.431541 |
| diabetes case fatality | 0.456993 |
| obesity prevalence | 0.913652 |
| disease prevalence levels | 0.488281 |
| diabetes onset | 0.42786 |
| body mass index | 0.431121 |
| childhood bmi decrease | 0.647984 |
| California | 0.460827 |
| population | 0.501061 |
| life expectancy | 0.610295 |
| inverse BMI increase | 0.482281 |
| baseline prevalence | 0.45173 |
|
| future diabetes incidence | 0.442437 |
| higher BMI | 0.438858 |
| bmi decrease | 0.921203 |
| overall prevalence | 0.449106 |
| prevalence rises | 0.436857 |
| obesity-related diabetes complications | 0.460279 |
| diabetes patients | 0.443791 |
| diabetes prevalence | 0.837574 |
| prevalence decrease | 0.486131 |
| scenario | 0.546318 |
| gestational diabetes | 0.444794 |
| adult bmi decrease | 0.618583 |
| annual BMI increase | 0.529789 |
| nationwide prevalence | 0.45099 |
| risk factor modifications | 0.542822 |
| appreciably lower prevalence | 0.462627 |
| mean annual BMI | 0.473741 |
| pa levels | 0.495426 |
| initial BMI | 0.524241 |
| people | 0.441322 |
| physical activity | 0.698757 |
| gestational diabetes diagnosis | 0.440887 |
| behavioral risk factor | 0.472397 |
| average annual BMI | 0.498204 |
|
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| 7093 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Belize |
null |
| Field Epidemiology Training | 0.914419 |
| Central America | 0.335706 |
| International Influenza Program | 0.55878 |
| Behavioral Surveillance Survey | 0.49541 |
| Epidemiology Training Program | 0.91235 |
| HIV prevalence | 0.413473 |
| public health institutions | 0.552432 |
| female sex workers | 0.469237 |
| CDC programs | 0.426417 |
| size estimation data | 0.473161 |
| senior health professionals | 0.499437 |
| Download Overview Fact | 0.492946 |
| hiv behavioral surveillance | 0.92808 |
| public health | 0.728509 |
|
| MOH staff | 0.332681 |
| basic-level training | 0.310277 |
| public health burdens | 0.568834 |
| Preliminary results | 0.29926 |
| Orange Walk | 0.29686 |
| MSM | 0.320265 |
| Belize | 0.273239 |
| FSW | 0.358586 |
| Emerging Infectious Program | 0.519694 |
| Global HIV/AIDS Program | 0.525618 |
| non-federal site | 0.324304 |
| local level | 0.297312 |
| Stann Creek | 0.331314 |
| Influenza Preparedness Detection | 0.525941 |
|
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| 7876 |
Centers for Disease Control and Prevention |
Html |
en |
Social Media Tools for Consumers and Partners - Online Video |
Basic information from CDC about breast cancer. |
| clips | 0.425565 |
| tailored health education | 0.694335 |
| health information | 0.54751 |
| individuals | 0.424685 |
| online video-sharing sites | 0.756462 |
| popular video-sharing Web | 0.747074 |
| new ability | 0.557726 |
| safety information | 0.550179 |
| health topics | 0.543706 |
| consumer-friendly videos | 0.56226 |
| CDC videos | 0.64663 |
| share | 0.450615 |
| CDC Streaming Health | 0.911045 |
| powerful activity | 0.578182 |
| Online video sharing | 0.703818 |
| powerful mechanism | 0.559618 |
| HIV/AIDS | 0.425361 |
|
| health messages | 0.551114 |
| personal blog | 0.541806 |
| video-sharing sites | 0.793333 |
| CDC-TV Web site | 0.652246 |
| engaging experience | 0.562827 |
| people | 0.425634 |
| YouTube | 0.465577 |
| flu | 0.428642 |
| Visit CDC Streaming | 0.765884 |
| Streaming Health channel | 0.656956 |
| accurate science | 0.550683 |
| Internet access | 0.560908 |
| health communication | 0.561595 |
| online video sources | 0.670293 |
| video footage | 0.558957 |
| comment | 0.428072 |
|
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| 8886 |
Centers for Disease Control and Prevention |
Html |
en |
Malaria - About Malaria |
Education and information about malaria history, disease, transmission, life cycle information, biology of malaria, and CDC activities involving malaria both internationally and domestically. |
| cases | 0.316457 |
| United States | 0.776212 |
| People | 0.262955 |
| high fevers | 0.588674 |
| certain type | 0.583998 |
| malaria | 0.943121 |
| travelers | 0.279382 |
| South Asia | 0.506385 |
| sub-Saharan Africa | 0.546057 |
|
| parasite | 0.300755 |
| chills | 0.318432 |
| malaria transmission | 0.842451 |
| vast majority | 0.567089 |
| fatal disease | 0.577844 |
| humans | 0.286156 |
| deadly disease | 0.528301 |
| flu-like illness | 0.638914 |
|
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| 10513 |
Centers for Disease Control and Prevention |
Html |
en |
Conference Call July 23, 2013'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| 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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| 11054 |
Centers for Disease Control and Prevention |
Html |
en |
CDC library renamed to honor Dr. Stephen B. Thacker | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 37-year career | 0.500188 |
| CDC Director | 0.687726 |
| B. Thacker Legacy | 0.733803 |
| CDC Foundation | 0.68245 |
| Exhibit | 0.416211 |
| Information Center | 0.516885 |
| Clifton Road | 0.508452 |
| Washington | 0.415236 |
| a.m.-12 | 0.417446 |
| Dr. Jeffrey Koplan | 0.597347 |
| CDC Media Office | 0.753986 |
| Friday | 0.418616 |
| Atlanta | 0.416187 |
| Senior Vice President | 0.588627 |
| External Affairs | 0.49908 |
| U.S. DEPARTMENT | 0.496157 |
| contact | 0.415034 |
| CDC Public Health | 0.839812 |
| Harrisburg | 0.418844 |
|
| Chloe Tonney | 0.510546 |
| memorial bust plaque | 0.632575 |
| Epidemic Intelligence Service | 0.61019 |
| official dedication program | 0.616743 |
| CDC Headquarters | 0.694585 |
| Legionnaire | 0.432225 |
| commitment | 0.417174 |
| D.C. | 0.41522 |
| Dr. Thacker | 0.681902 |
| unveiling | 0.437327 |
| opening | 0.418246 |
| Pennsylvania | 0.415067 |
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| public health service | 0.581218 |
| Thomas R. Frieden | 0.610641 |
| Stephen B. Thacker | 0.926093 |
| investigation | 0.4151 |
| HUMAN SERVICES | 0.494805 |
|
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| 13013 |
Centers for Disease Control and Prevention |
Html |
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Pertussis | Pregnancy and Whooping Cough | Get Vaccinated |CDC |
Pregnant women should get a whooping cough vaccine. Vaccines are the best way to prevent whooping cough. |
| birthing center | 0.328071 |
| CDC | 0.313543 |
| Español | 0.307648 |
| Tdap vaccine | 0.381093 |
| Page | 0.313201 |
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| body | 0.34603 |
| time period | 0.350854 |
| tetanus | 0.307168 |
| pregnant women | 0.359071 |
| Disease Control | 0.329402 |
| Obstetricians | 0.306621 |
| original recommendation | 0.330078 |
| best protection | 0.32653 |
| different age groups | 0.35847 |
| tosferina durante su | 0.361733 |
| different whooping cough | 0.478983 |
| pregnancy | 0.396255 |
| greatest risk | 0.348025 |
| early life | 0.32705 |
| trimester | 0.326175 |
| embarazo | 0.306831 |
| recent study | 0.326233 |
| health benefits | 0.327896 |
| Centers | 0.306329 |
|
| whooping cough vaccine | 0.785836 |
| short-term protection | 0.353646 |
| protection | 0.374351 |
| babies | 0.309766 |
| potentially life-threating complications | 0.350375 |
| preferred time | 0.328017 |
| shot | 0.312095 |
| Prevention | 0.306325 |
| whooping cough vaccines | 0.564329 |
| Gynecologists | 0.30669 |
| American College | 0.354034 |
| hospital | 0.311989 |
| diphtheria | 0.307287 |
| Nurse-Midwives | 0.307119 |
| whooping cough antibodies | 0.475959 |
| breast milk | 0.32565 |
| Whooping cough vaccination | 0.457632 |
| protective antibodies | 0.432376 |
| early protection | 0.325943 |
| whooping cough | 0.930329 |
| la | 0.306835 |
| response | 0.311816 |
| baby | 0.424972 |
| breastfeeding | 0.311323 |
|
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| 13432 |
Centers for Disease Control and Prevention |
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Pertussis and Influenza Vaccination Among Insured PregnantWomen - Wisconsin, 2013-2014 |
Ruth Koepke, MPH1,2; Danielle Kahn, MSPH1; Ashley B. Petit, MPH1; Stephanie L. Schauer, PhD1; Daniel J. |
| Health Information Organization | 0.464533 |
| pregnant patients | 0.423448 |
| severe pertussis morbidity | 0.391343 |
| maternal age | 0.424949 |
| Tdap administration | 0.407986 |
| recommendation | 0.423031 |
| Tdap vaccination rates | 0.568887 |
| Tdap-vaccinated pregnant women | 0.45589 |
| Tdap recommendation | 0.42195 |
| maternal antipertussis antibodies | 0.389995 |
| influenza vaccination programs | 0.533358 |
| Daniel J. Hopfensperger | 0.396872 |
| care provider recommendation | 0.393333 |
| deidentified all-payer claims | 0.387812 |
| maximal immune response | 0.385825 |
| Prenatal care providers | 0.390305 |
| pregnant women | 0.928861 |
| antipertussis antibodies | 0.390279 |
| ACIP | 0.404055 |
| Tdap | 0.754988 |
| Wisconsin.* Claims data | 0.387763 |
| Wisconsin Health Information | 0.463451 |
| Jeffrey P. Davis | 0.39462 |
| private insurance | 0.389708 |
|
| vaccination rates | 0.986905 |
| Median maternal age | 0.391442 |
| health care providers | 0.523797 |
| 2013–March | 0.386901 |
| public health | 0.443757 |
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| delivery | 0.447523 |
| influenza season | 0.429694 |
| higher vaccination rates | 0.517132 |
| influenza vaccines | 0.393198 |
| pregnancy | 0.644345 |
| James H. Conway | 0.395035 |
| study period | 0.388813 |
| influenza vaccination rates | 0.601263 |
| influenza vaccination | 0.648933 |
| Ashley B. Petit | 0.394458 |
| Ruth Koepke | 0.394331 |
| delivery provider specialty | 0.392078 |
| delivery.†Women | 0.390094 |
| influenza seasons | 0.387597 |
| Stephanie L. Schauer | 0.395405 |
| Tdap vaccination | 0.704032 |
| women | 0.978476 |
|
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| 14227 |
Centers for Disease Control and Prevention |
Html |
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Prevention |
No vaccine exists…Prevent Zika by avoiding mosquito bites… |
| mosquitoes | 0.517372 |
| mosquito-borne Zika virus | 0.7224 |
| chance | 0.262918 |
| mosquito bites | 0.517191 |
| sex partners | 0.454169 |
| United States | 0.704014 |
| sexual transmission | 0.478482 |
| night | 0.256198 |
| Zika virus | 0.912501 |
|
| Zika virus bite | 0.744306 |
| continental United States | 0.660523 |
| dengue | 0.285958 |
| Zika | 0.964697 |
| vaccine | 0.280369 |
| female condoms | 0.581156 |
| chikungunya viruses | 0.547679 |
| trip | 0.253841 |
|
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