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Centers for Disease Control and Prevention |
Html |
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CDC - CMV: Congenital CMV Infection |
Signs of congenital CMV infection, prevention, treatment for babies born with CMV infection |
| citomegalovirus | 0.307641 |
| congenital cmv infection | 0.920662 |
| antivirals | 0.312903 |
| regular hearing checks | 0.361005 |
| pregnancy loss | 0.329172 |
| Español | 0.309607 |
| death | 0.306638 |
| urine | 0.307125 |
| reactivation | 0.309556 |
| Page | 0.306656 |
| babies | 0.447896 |
| virus | 0.315016 |
| Bebés nacidos | 0.339129 |
| loss | 0.330615 |
| signs | 0.363482 |
| cytomegalovirus | 0.310208 |
| variety | 0.306847 |
| pregnant woman | 0.333693 |
| long-term health problems | 0.410732 |
| first-time infection | 0.373235 |
| additional services | 0.331917 |
|
| Women | 0.307078 |
| baby’s saliva | 0.331633 |
| reinfection | 0.306862 |
| baby’s doctor | 0.330103 |
| childhood | 0.306305 |
| newborn hearing test | 0.362157 |
| pregnancy | 0.329467 |
| birth | 0.367339 |
| infancy | 0.307705 |
| infected babies | 0.352423 |
| different CMV strain | 0.439555 |
| blood | 0.313943 |
| infección | 0.307637 |
| previous infection | 0.372019 |
| health problems | 0.478337 |
| Medicines | 0.306412 |
| baby | 0.362717 |
| placenta | 0.308353 |
| congénita por CMV | 0.456766 |
| care | 0.306241 |
|
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Centers for Disease Control and Prevention |
Html |
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First World Trade Center Scientific and Medical Review Released - Media Statement: July 25, 2011 |
CDC Urges: Stay Cool to Stay Healthy As Temperatures Soar |
| cancer studies | 0.507271 |
| medical evidence | 0.531288 |
| James Zadroga | 0.40981 |
| CDC | 0.3234 |
| Sept.11 | 0.320271 |
| medical findings | 0.532134 |
| rule | 0.31761 |
| determination | 0.321041 |
| occurrence | 0.318176 |
| type | 0.319857 |
| updates | 0.31756 |
| new research | 0.409852 |
| responders | 0.325587 |
| current absence | 0.430847 |
| Occupational Safety | 0.428443 |
| WTC Health Program | 0.548283 |
| New York City | 0.519294 |
| World Trade Center | 0.9249 |
| U.S. DEPARTMENT | 0.407282 |
| causal association | 0.624054 |
| Center Program Administrator | 0.505709 |
| peer-reviewed literature | 0.420174 |
|
| Compensation Act | 0.409621 |
| List | 0.319818 |
| review discusses criteria | 0.502951 |
| periodic reviews | 0.458082 |
| Health Program | 0.604888 |
| summary | 0.320384 |
| scientific evidence | 0.425562 |
| website | 0.317248 |
| WTC exposures | 0.498793 |
| NIOSH | 0.33008 |
| researchers | 0.317548 |
| WTC-Related Health Conditions | 0.524875 |
| 9/11 | 0.318343 |
| survivors | 0.317742 |
| provision | 0.318725 |
| periodic review | 0.786154 |
| WTC Administrator John | 0.5774 |
| issuance | 0.324718 |
| HUMAN SERVICES | 0.407091 |
| information | 0.317297 |
| time | 0.319772 |
|
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| 8188 |
Centers for Disease Control and Prevention |
Html |
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Birth Defects, Facts about Gastroschisis - NCBDDD |
CDC works to identify causes of birth defects and opportunities to prevent them. By applying a public health approach incorporating three essential elements—surveillance or disease tracking, research to identify causes, and prevention research and programs—we can rapidly translate scientific findings into appropriate public health interventions. |
| Defects Prevention Network. | 0.370638 |
| baby’s body | 0.274433 |
| Birth Defects Study | 0.331326 |
| baby’s intestines | 0.246766 |
| abdominal wall | 0.307513 |
| United States | 0.212988 |
| national birth prevalence | 0.240784 |
| Prevention Network. Prevalence | 0.213601 |
| birth defects | 0.951694 |
| Birth Defects Prevention | 0.693718 |
| National Birth Defects | 0.829697 |
|
| gastroschisis defect | 0.370869 |
| Birth Defects Research | 0.3252 |
| belly button | 0.297491 |
| Disease Control | 0.213646 |
| Defects Prevention Study | 0.434437 |
| MMWR morb Mortal | 0.200762 |
| Prevention Network.  Increasing | 0.206904 |
| gastroschisis | 0.69158 |
| abdominal organs | 0.247131 |
| Defects Prevention Network | 0.292244 |
| et al. | 0.204467 |
|
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| 8334 |
Centers for Disease Control and Prevention |
Html |
en |
Economic Cost - Child Maltreatment - Violence Prevention - Injury |
A consistent definition is needed to monitor the incidence of child maltreatment, abuse, and/or neglect, and examine trends over time. |
| benefits | 0.514094 |
| reports | 0.516701 |
| Findings | 0.514216 |
| death | 0.514396 |
| United States | 0.669799 |
| costly health conditions | 0.638547 |
| promising array | 0.57607 |
| economic burden | 0.665922 |
| Child Abuse | 0.577316 |
| U.S. state | 0.591657 |
| society | 0.51547 |
| problem | 0.517009 |
| great potential | 0.574306 |
| psychological abuse | 0.57688 |
| children | 0.546478 |
| 12-month period | 0.586622 |
| victim | 0.514815 |
| financial costs | 0.661962 |
| prevention | 0.546438 |
|
| victims | 0.51458 |
| neglect | 0.567458 |
| substantial economic burden | 0.646783 |
| physical abuse | 0.577858 |
| cases | 0.514956 |
| total lifetime | 0.605946 |
| recent CDC study | 0.647729 |
| lifetime cost | 0.718131 |
| complaints | 0.51872 |
| response programs | 0.571271 |
| sexual abuse | 0.577773 |
| child maltreatment | 0.991809 |
| prevalent public health | 0.669478 |
| money | 0.514289 |
| child protective services | 0.666217 |
| International Journal | 0.579994 |
| effective programs | 0.573459 |
| CPS authorities | 0.594593 |
|
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| 8638 |
Centers for Disease Control and Prevention |
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en |
PanFlu Storybook - 1957 Flu Pandemic, Gordon Fields |
1957 Flu Pandemic, The 1957 flu pandemic was deadly, but milder than the 1918 event. The virus caused an estimated 70,000 deaths in the United States. The seven stories presented in this section are retold by survivors from New York to California. |
| safe operation | 0.611897 |
| Port | 0.439863 |
| mild case | 0.605277 |
| ship | 0.477367 |
| wool blanket | 0.638079 |
| chills | 0.458064 |
| camel | 0.44063 |
| Gordon P. Fields | 0.866391 |
| North | 0.439748 |
| USS Barton DD | 0.851858 |
| U.S .Sixth Fleet | 0.840626 |
| perspiration | 0.463839 |
| watch. | 0.439421 |
| Suez Canal | 0.659212 |
| aches | 0.46538 |
| vision | 0.439119 |
| annual vaccination | 0.674755 |
| annual influenza vaccination | 0.882108 |
| severe case | 0.64579 |
| dream | 0.439234 |
| mere inches | 0.647146 |
| steel deck | 0.624132 |
| U.S. Navy | 0.629674 |
| duties | 0.441551 |
| flu symptoms | 0.708589 |
|
| general discomfort | 0.648786 |
| sand bank | 0.617521 |
| mandatory inoculation | 0.657643 |
| sun | 0.437915 |
| crew | 0.437782 |
| departure time | 0.643081 |
| tier | 0.444051 |
| Storyteller | 0.44571 |
| United States Navy | 0.895696 |
| course | 0.437346 |
| annual flu vaccination | 0.921373 |
| pay line | 0.600371 |
| Mediterranean Sea | 0.898323 |
| dead culture | 0.608094 |
| active service | 0.611614 |
| midnight | 0.439058 |
| influenza vaccines | 0.652201 |
| South | 0.439727 |
| absolute minimum | 0.610762 |
| Navy personnel | 0.620393 |
| onset | 0.449854 |
| doctor | 0.434329 |
| watch station | 0.606086 |
| bunk | 0.529621 |
|
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| 10857 |
Centers for Disease Control and Prevention |
Html |
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Current Tobacco Use and 27 Exposure Among Women of Reproductive Age — 14 Countries, 2008–2010 |
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. |
| country | 0.459479 |
| traditional tobacco products | 0.497463 |
| highest prevalence | 0.476621 |
| High tobacco smoking | 0.542032 |
| higher smoking prevalence | 0.530371 |
| tobacco cessation | 0.478322 |
| current pregnancy status | 0.465689 |
| overall SHS exposure | 0.556952 |
| reproductive-aged women | 0.788401 |
| rural areas | 0.475487 |
| study countries | 0.458683 |
| middle-income countries | 0.491561 |
| female reproductive-aged respondents | 0.467624 |
| current tobacco users | 0.511674 |
| high smoking prevalence | 0.516814 |
| countries | 0.552368 |
| data collection method | 0.45823 |
| India | 0.469989 |
| female respondents ages | 0.459995 |
| important role | 0.453874 |
| tobacco products | 0.50127 |
| SHS exposure | 0.900213 |
| adverse reproductive health | 0.463893 |
| multistage cluster sample | 0.457108 |
| Regional Office | 0.467349 |
|
| overall tobacco prevalence | 0.563947 |
| tobacco control strategies | 0.50109 |
| current smoking prevalence | 0.581711 |
| total fertility rates | 0.452966 |
| tobacco smoking prevalence | 0.728685 |
| Russia | 0.46037 |
| fetal growth restriction | 0.459214 |
| tobacco indicators | 0.484493 |
| tobacco exposure data | 0.535663 |
| smoking initiation | 0.471837 |
| effective tobacco control | 0.500573 |
| Global Adult Tobacco | 0.523218 |
| reproductive age | 0.513133 |
| sample design | 0.453972 |
| key tobacco control | 0.514728 |
| urban areas | 0.483242 |
| high prevalence | 0.478854 |
| novel tobacco products | 0.497401 |
| home | 0.469786 |
| current tobacco smoking | 0.763244 |
| Bangladesh | 0.477838 |
| low prevalence | 0.513389 |
| tobacco smoking prevalences | 0.518785 |
| current smokeless tobacco | 0.736066 |
|
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Centers for Disease Control and Prevention |
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Disease Detective: Greg - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| enormous task | 0.547611 |
| public health epidemiology | 0.63632 |
| fact | 0.42741 |
| deadly virus | 0.539326 |
| short-term goal | 0.531324 |
| officer | 0.42484 |
| infectious disease studies | 0.654968 |
| fever | 0.4267 |
| training | 0.422924 |
| Greg | 0.588393 |
| Navy diver | 0.561588 |
| famine response | 0.547931 |
| skills | 0.422939 |
| Ebola outbreak | 0.966605 |
| potentially dangerous diseases | 0.680343 |
| patient | 0.424032 |
| MRSA | 0.433215 |
| Rocky Mountain | 0.547236 |
| surveillance | 0.422842 |
| CDC detective | 0.606331 |
| public health | 0.682366 |
|
| CDC staff | 0.566502 |
| hard work | 0.538007 |
| contact tracing | 0.758717 |
| H1N1 influenza | 0.553822 |
| Ghana | 0.428152 |
| good opportunity | 0.532539 |
| Leishmaniasis | 0.434839 |
| history | 0.425087 |
| Kenya | 0.42557 |
| long- term goal | 0.637675 |
| heart | 0.424006 |
| spread | 0.476498 |
| symptoms | 0.423927 |
| disease experts CDC | 0.702303 |
| largest Ebola outbreak | 0.810207 |
| personal risks | 0.528463 |
| Public Health Service | 0.681237 |
| West Africa | 0.671774 |
| principles | 0.422431 |
| stranger | 0.436017 |
|
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Centers for Disease Control and Prevention |
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Developing an Incident Management System to Support EbolaResponse - Liberia, July-August 2014 |
On October 14, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| CDC | 0.468908 |
| Ebola infection | 0.433631 |
| organizational structure | 0.473879 |
| Social Welfare | 0.465174 |
| deputy IM | 0.572226 |
| action items | 0.510503 |
| Ebola response structure | 0.588798 |
| Zoonotic Infectious Diseases | 0.531373 |
| Ebola response framework | 0.62378 |
| initial response structure | 0.497936 |
| response structure | 0.662349 |
| emergency response | 0.436612 |
| World Health Organization | 0.44791 |
| Global Health | 0.464261 |
| MOHSW | 0.582739 |
| public health activities | 0.452091 |
| public health emergencies | 0.458726 |
| national IMS | 0.446979 |
| IMS | 0.489417 |
| response section chairs | 0.467555 |
| national Ebola response | 0.556146 |
| key Ebola response | 0.545239 |
| minister/chief medical officer | 0.497154 |
| public health response | 0.527527 |
|
| deputy health minister | 0.472424 |
| public health agencies | 0.454258 |
| national coordinator | 0.563033 |
| IMS general staff | 0.468363 |
| county-level response | 0.432963 |
| Ebola virus disease | 0.498252 |
| health care infrastructure | 0.458451 |
| Ebola epidemic | 0.541174 |
| Satish K. Pillai | 0.517095 |
| national task force | 0.623505 |
| public health responsibilities | 0.454033 |
| national response | 0.525914 |
| public health | 0.735188 |
| deputy health minister/chief | 0.56071 |
| Global Health Protection | 0.437898 |
| external partners | 0.438534 |
| Ebola response | 0.911008 |
| Public Health Preparedness | 0.440416 |
| Liberia | 0.445639 |
| MOHSW response structure | 0.522905 |
| national response structure | 0.511482 |
| scientific response section | 0.652523 |
| IMS structure | 0.434411 |
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|
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Pedestrian Safety | Motor Vehicle Safety | CDC InjuryCenter |
null |
| Human Services | 0.275304 |
| car crash | 0.319856 |
| Accid Anal Prev | 0.455563 |
| Additional Risk Factors | 0.437575 |
| Disease Control | 0.2781 |
| blood alcohol concentration | 0.447571 |
| crash-related pedestrian death | 0.774969 |
| retro-reflective clothing | 0.298006 |
| non-intersection locations | 0.285073 |
| fatal pedestrian crashes | 0.781803 |
| Web-based Injury Statistics | 0.425945 |
| Pedestrians ages | 0.586452 |
| vehicle crash injury | 0.42046 |
|
| U. Pedestrian fatality | 0.666308 |
| traffic crashes | 0.565704 |
| pedestrians | 0.739731 |
| passenger vehicle | 0.310031 |
| United States.1 | 0.313968 |
| exposure-based methods | 0.29219 |
| urban areas | 0.28523 |
| emergency departments | 0.306142 |
| higher vehicle speeds | 0.443062 |
| Older adults | 0.322636 |
| car impact speed | 0.424612 |
| non-fatal crash-related injuries | 0.484545 |
| Beck LF | 0.285567 |
|
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Centers for Disease Control and Prevention |
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Global Progress Toward Rubella and Congenital Rubella Syndrome Control and Elimination - 2000-2014 |
Gavin B. Grant, MD1; Susan E. Reef, MD1; Alya Dabbagh, PhD2; Marta Gacic-Dobo, MSc2; Peter M. |
| rubella epidemiology | 0.405312 |
| Western Pacific Region | 0.512727 |
| rubella control | 0.478845 |
| RCV dose | 0.48152 |
| rubella virus | 0.590442 |
| CRS cases | 0.434052 |
| rubella vaccine introduction | 0.484755 |
| rubella vaccination programs | 0.459737 |
| RCV introduction guidance | 0.432442 |
| rubella vaccination | 0.470274 |
| rubella | 0.964539 |
| endemic rubella virus | 0.453605 |
| routine immunization services | 0.419678 |
| World Health Organization | 0.352914 |
| Gavi Alliance | 0.369334 |
| countries | 0.746949 |
| Rubella Strategic Plan | 0.501686 |
| Rubella Initiative partners | 0.558368 |
| national immunization schedules | 0.366905 |
| rubella virus transmission | 0.522598 |
| rubella vaccination coverage | 0.465524 |
| congenital rubella syndrome | 0.501469 |
| regional rubella | 0.415892 |
| CRS surveillance results | 0.359128 |
|
| RCV | 0.823352 |
| CRS | 0.579417 |
| south-east asia region | 0.423418 |
| CRS control activities | 0.364977 |
| rubella elimination goals | 0.48935 |
| rubella elimination goal | 0.485934 |
| High-quality rubella | 0.411558 |
| rubella surveillance data | 0.459629 |
| rubella vaccine | 0.533474 |
| monovalent rubella vaccine | 0.493319 |
| RCV introduction | 0.568932 |
| rubella cases | 0.679638 |
| Vaccine Action Plan | 0.458306 |
| Action Plan rubella | 0.481459 |
| RCV coverage | 0.392705 |
| European Region | 0.368291 |
| Joint Reporting Form | 0.354414 |
| CRS control | 0.445073 |
| CRS surveillance | 0.517003 |
| Global Vaccine Action | 0.455014 |
| CRS elimination goals | 0.524259 |
| immunization schedules | 0.377927 |
| elimination goals | 0.570001 |
| future RCV introductions | 0.423226 |
|
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