| 6124 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH Fast Facts: Protecting Yourself from Poisonous Plants (2010-118) |
null |
| poison sumac | 0.76009 |
| comprehensive respiratory protection | 0.312458 |
| Respiratory Protection standard | 0.311902 |
| allergic reaction | 0.399377 |
| Red rash | 0.214707 |
| Barrier skin creams | 0.319691 |
| severe reaction | 0.209399 |
| hospital emergency room | 0.322268 |
| lung irritation | 0.209241 |
| poison ivy | 0.73712 |
|
| calamine lotion | 0.203339 |
| professional medical attention | 0.319525 |
| respirators | 0.208471 |
| possible combustion products | 0.291708 |
| poison plant wash | 0.528362 |
| severe allergic reaction | 0.367984 |
| poisonous plant | 0.292706 |
| NIOSH-certified half-face piece | 0.302077 |
| burning plants | 0.244678 |
| poisonous plants | 0.922398 |
|
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| 6808 |
Centers for Disease Control and Prevention |
Html |
en |
Summary of Notifiable Diseases --- United States, 2008 - Weekly June 25, 2010 / 57(54);1-94 |
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. |
| CDC | 0.599928 |
| data | 0.582886 |
| surveillance information systems | 0.443955 |
| disease reporting | 0.435942 |
| reportable conditions | 0.413192 |
| nationally notifiable diseases | 0.523649 |
| public health authorities | 0.444943 |
| New York City | 0.432751 |
| Notifiable disease reports | 0.463983 |
| CDC programs | 0.441038 |
| notifiable conditions | 0.416405 |
| public health surveillance | 0.688133 |
| state health departments | 0.597234 |
| national public health | 0.443105 |
| national notifiable diseases | 0.626957 |
| infectious notifiable diseases | 0.448666 |
| surveillance data | 0.470209 |
| public health emergencies | 0.452217 |
| ethnicity data | 0.42505 |
| public health officials | 0.426284 |
| surveillance case definitions | 0.442486 |
| health surveillance data | 0.457268 |
| surveillance case definition | 0.450149 |
| health surveillance case | 0.447449 |
| case definition | 0.494447 |
|
| reportable disease lists | 0.420504 |
| Territorial Epidemiologists | 0.466418 |
| notifiable disease cases | 0.506161 |
| influenza-associated pediatric mortality | 0.42439 |
| notifiable infectious disease | 0.453446 |
| nationally notifiable disease | 0.486685 |
| United States | 0.920759 |
| Notifiable Disease Surveillance | 0.532688 |
| health surveillance information | 0.432148 |
| notifiable diseases | 0.75629 |
| different CDC programs | 0.428377 |
| notifiable infectious diseases | 0.817887 |
| domestic arboviral diseases | 0.418613 |
| reported incidence | 0.413475 |
| reportable disease list | 0.425842 |
| public health | 0.939468 |
| cases | 0.642278 |
| Notifiable Diseases Surveillance | 0.599086 |
| Electronic Disease Surveillance | 0.425344 |
| certain notifiable diseases | 0.440518 |
| Health Surveillance Program | 0.430905 |
| disease incidence | 0.418186 |
| HIV infection | 0.425404 |
| incidence | 0.419408 |
|
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| 8038 |
Centers for Disease Control and Prevention |
Html |
en |
Kenya - Blog: Improving Indoor Air Quality in Rural Kenya - CDC Global Health |
In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories. |
| clean-burning cookstoves | 0.86462 |
| indoor air quality | 0.819837 |
| personal air pollution | 0.827416 |
| U.S. CDC Kenya | 0.895292 |
| traditional cookstoves | 0.829792 |
| high acceptability | 0.720187 |
| Clean Cookstoves | 0.974862 |
| viable commercial market | 0.838458 |
| health impact | 0.728284 |
| Disease Control | 0.83266 |
| health benefits—CDC | 0.73921 |
| common respiratory diseases | 0.807423 |
| Air Monitoring Group | 0.82705 |
| climate change | 0.722952 |
| household air quality | 0.819508 |
| World Health Organization | 0.812219 |
| rural western Kenya | 0.858958 |
| local economies | 0.72077 |
| Kenya Medical Research | 0.847225 |
| cooking fuel | 0.720293 |
| people worldwide die | 0.789487 |
| cleaner cookstove alternatives | 0.824639 |
| short term effects | 0.808049 |
| kitchen performance tests | 0.807173 |
| ‘quick stove | 0.742085 |
|
| acute respiratory infections | 0.80335 |
| clay foundation | 0.719457 |
| efficient cookstoves | 0.878004 |
| Secretary Clinton | 0.721138 |
| health toll staggering | 0.814739 |
| indoor air pollution | 0.83372 |
| ceramic cylinder | 0.717271 |
| rural Kenya | 0.752993 |
| Nyanza Province | 0.720919 |
| respiratory diseases | 0.816961 |
| ceramic cookstove | 0.725607 |
| new stoves | 0.824955 |
| measurable health benefits | 0.816652 |
| upesi jiko | 0.726744 |
| role—and novel marketing | 0.823456 |
| Global Alliance | 0.832611 |
| relatively new sector | 0.792658 |
| pm ET | 0.724319 |
| KENYA BLOG | 0.773756 |
| impoverished communities | 0.718901 |
| cooking technologies | 0.720075 |
| air pollution | 0.89449 |
| known risk factor | 0.800213 |
| small window cut | 0.809687 |
|
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| 9798 |
Centers for Disease Control and Prevention |
Html |
en |
Chronic Fatigue Syndrome (CFS) - Improving Health and Quality of Life |
null |
| bed | 0.237798 |
| severe fatigue | 0.476778 |
| thinking | 0.237693 |
| times | 0.237969 |
| Institute | 0.233133 |
| complex disease | 0.390667 |
| understanding | 0.233113 |
| health care providers | 0.539427 |
| ME/CFS | 0.833269 |
| dizziness | 0.257062 |
| pain | 0.235244 |
| timely diagnosis | 0.403076 |
| committee | 0.23346 |
| IOM | 0.260819 |
|
| Americans | 0.236337 |
| encephalomyelitis/chronic fatigue syndrome | 0.995804 |
| sleep problems | 0.402557 |
| usual activities | 0.430562 |
| body systems | 0.430988 |
| people | 0.311776 |
| symptoms | 0.233915 |
| symptom | 0.252966 |
| post-exertional malaise | 0.428804 |
| long-term illness | 0.481315 |
| new diagnostic criteria | 0.557353 |
| PEM | 0.255933 |
| MyalÂgic Encephalomyelitis/Chronic Fatigue | 0.602573 |
|
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| 12167 |
Centers for Disease Control and Prevention |
Html |
en |
Meningitis | Lab Manual | PCR Detection and Characterization | CDC |
Primary Culture and Presumptive Identification Laboratory Methods. |
| PCR detection assay | 0.508695 |
| DNA polymerase | 0.486512 |
| hpd real-time PCR | 0.504205 |
| PCR reaction assembly | 0.527197 |
| real-time PCR assays | 0.706278 |
| S. pneumoniae | 0.622415 |
| PCR thermocycler | 0.479904 |
| real-time PCR analysis | 0.48753 |
| PCR assay lytA | 0.496116 |
| potential PCR inhibitors | 0.492842 |
| capsule synthesis | 0.481804 |
| PCR reagent concentrations | 0.480143 |
| multiplex PCR serotyping | 0.488271 |
| real-time PCR machine | 0.510375 |
| real-time PCR assay | 0.589628 |
| PCR reactions | 0.498096 |
| ATP-driven export region | 0.499278 |
| PCR products | 0.497818 |
| Real-time PCR technology | 0.509103 |
| commercial PCR master | 0.480994 |
| PCR grade water | 0.481736 |
| amplified PCR product | 0.516755 |
| H. influenzae | 0.76026 |
| capsule | 0.486269 |
| master mix | 0.528646 |
|
| real-time PCR plate | 0.491757 |
| PCR positive reaction | 0.49504 |
| capsule locus | 0.479866 |
| different real-time PCR | 0.488135 |
| N. meningitidis | 0.517501 |
| clinical specimens | 0.559145 |
| species-specific real-time pcr | 0.513642 |
| entire PCR run | 0.488107 |
| PCR reaction | 0.527452 |
| PCR hood | 0.478896 |
| PCR amplification | 0.492227 |
| Serogroup/serotype-specific real-time PCR | 0.500728 |
| detection | 0.529612 |
| DNA extraction | 0.510774 |
| bacterial meningitis pathogens | 0.518375 |
| template DNA | 0.478954 |
| real-time pcr | 0.905257 |
| PCR master mix | 0.507534 |
| PCR technologies | 0.483637 |
| DNA | 0.620192 |
| Multiplex real-time PCR | 0.518348 |
| serotype-specific real-time PCR | 0.50925 |
| PCR amplicons | 0.481752 |
| real-time PCR reaction | 0.501998 |
|
CLICK HERE |
| 12585 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips From Former Smokers -- Rose's Ad |
Rose developed lung cancer from smoking cigarettes. In this TV ad for CDC's Tips From Former Smokers campaign, she talks about her lung surgery and difficult recovery. Problems kept Rose in the hospital for a month with a plastic chest tube to drain fluids. Every day, she prayed that the painful tube would come out. Rose's tip is "Be careful what you wish for." There was more pain to come for Rose when the chest tube finally came out. Rose died in January 2015. She was 60.
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://streaming.cdc.gov/vod.php?id=c36ef09c47a5bfe7fc327c2bf5fcb4eb20140620143553593 |
| Smokers | 0.932887 |
| CDC | 0.92604 |
|
| Rose | 0.658455 |
| YouTube | 0.871802 |
|
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| 13239 |
Centers for Disease Control and Prevention |
Html |
en |
Questions and Answers | Know Hepatitis B | CDC |
Questions and Answers | Know Hepatitis B | CDC |
| high rates | 0.343284 |
| Hepatitis B test | 0.509865 |
| family member | 0.340179 |
| Hepatitis | 0.9115 |
| Hepatitis B spread | 0.539204 |
| liver failure | 0.409037 |
| coughing | 0.308473 |
| lifelong illness | 0.385722 |
| internists | 0.30839 |
| long-term health problems | 0.367464 |
| young children | 0.338365 |
| Hepatitis B virus | 0.630103 |
| help protect family | 0.363056 |
| liver damage | 0.463008 |
| family members | 0.399679 |
| greater risk | 0.34038 |
| liver disease | 0.443874 |
| Pacific Islands | 0.372005 |
| prescription pills | 0.337406 |
| over-the-counter medications | 0.336412 |
| person spread Hepatitis | 0.562357 |
| body fluid | 0.338738 |
| symptoms | 0.322396 |
| infected mother | 0.364489 |
| Yes. Many people | 0.348869 |
|
| health problems | 0.422172 |
| multiple ways | 0.340211 |
| ways Hepatitis | 0.525214 |
| access medical treatments | 0.364363 |
| liver conditions | 0.371741 |
| Hepatitis B treatment | 0.496522 |
| Asian Americans | 0.340645 |
| chronic Hepatitis | 0.549504 |
| Hepatitis B-related liver | 0.575085 |
| AAPIs | 0.358895 |
| young child | 0.340116 |
| additional liver damage | 0.399671 |
| Hepatitis B. | 0.613249 |
| people | 0.57162 |
| liver specialists | 0.365185 |
| Pacific Islanders | 0.341306 |
| effective vaccine | 0.337087 |
| family medicine practitioners | 0.364164 |
| Hepatitis B infection | 0.520831 |
| n’t | 0.311572 |
| liver cancer | 0.406921 |
| time | 0.308616 |
| Hepatitis B. People | 0.53732 |
| infectious disease physicians | 0.364224 |
|
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| 14065 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Tetanus Cases After Voluntary MedicalMale Circumcision for HIV Prevention - Eastern and Southern Africa,2012-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| severe adverse events | 0.679008 |
| AIDS Control Program | 0.650246 |
| CDC | 0.65084 |
| sub-Saharan African countries | 0.679077 |
| Human Services | 0.646131 |
| HIV prevention | 0.646164 |
| U.S. Department | 0.645087 |
| Global HIV | 0.915668 |
| case fatality ratio | 0.775158 |
| 8Rwanda Military Hospital | 0.642771 |
| electronic PDF version | 0.640649 |
| Global AIDS Coordinator | 0.790718 |
| VMMC clients | 0.656186 |
| World Health Organization | 0.682145 |
| Jonathan M. Grund | 0.639839 |
| VMMC-related tetanus cases | 0.824013 |
| VMMC-related adverse events | 0.685224 |
| 6Naval Health Research | 0.662181 |
| tetanus cases | 0.829327 |
| human immunodeficiency virus | 0.671807 |
| causally associated cases | 0.673236 |
| female-to-male HIV transmission | 0.734473 |
| medical male circumcision | 0.711501 |
| tetanus elimination programs | 0.783784 |
| tetanus immune globulin | 0.790494 |
|
| tetanus immunity | 0.721016 |
| original MMWR paper | 0.646008 |
| tetanus mitigation strategies | 0.775659 |
| postoperative wound care | 0.661092 |
| rural Ugandan hospital | 0.65794 |
| surveillance systems | 0.650066 |
| infant primary series | 0.645938 |
| VMMC program | 0.631938 |
| booster doses | 0.645724 |
| tetanus vaccination coverage | 0.785028 |
| sensitive surveillance systems | 0.635909 |
| VMMC scale-up | 0.620854 |
| male circumcision | 0.768116 |
| national surveillance systems | 0.64217 |
| conventional VMMC surgery | 0.69109 |
| adverse events | 0.780576 |
| 3Global Immunization Division | 0.646141 |
| nonsurgical male circumcision | 0.695113 |
| clean wound care | 0.644726 |
| Stella T. Alamo | 0.639214 |
| Intensified adverse event | 0.689922 |
| VMMC programs | 0.615035 |
| STI Control Programme | 0.639898 |
| U.S. Global AIDS | 0.675862 |
|
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| 15348 |
Centers for Disease Control and Prevention |
Html |
en |
Genomics & Health Weekly Impact Update |
The mission of CDC's Public Health Genomics is to integrate advances in human genetics into public health research, policy, and programs |
| epilepsy | 0.341328 |
| searches | 0.341187 |
| databases | 0.331188 |
| list Skip | 0.783099 |
| free training events | 0.653872 |
| Genomics | 0.348341 |
| topics | 0.331249 |
| page options Skip | 0.963969 |
| Customized Informatics Tool | 0.681103 |
| questions | 0.330075 |
| Causes | 0.329198 |
|
| Information | 0.331691 |
| Family history | 0.478587 |
| navigation Skip | 0.790584 |
| increases | 0.350304 |
| Read | 0.330165 |
| Population Health Impact | 0.680133 |
| Learn healthy steps | 0.660052 |
| MyPHGKB | 0.357211 |
| interests | 0.331128 |
| diabetes | 0.360276 |
| certain genetic conditions | 0.651517 |
|
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| 16216 |
Centers for Disease Control and Prevention |
Html |
en |
Global Routine Vaccination Coverage, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| immunization program performance | 0.496545 |
| immunization services | 0.431882 |
| vaccines | 0.482268 |
| polio vaccine | 0.39777 |
| routinely recommended vaccines | 0.395244 |
| gross national income | 0.488148 |
| Vaccine Alliance | 0.39494 |
| higher-income countries | 0.401712 |
| incompletely vaccinated children | 0.539949 |
| Western Pacific Region | 0.424605 |
| United Nations Children | 0.430182 |
| subnational coverage data | 0.389193 |
| vaccination coverage | 0.75739 |
| national immunization schedule | 0.400089 |
| specified target group | 0.372756 |
| national coverage | 0.400498 |
| lower middle-income countries | 0.713657 |
| country income | 0.430415 |
| national MCV1 coverage | 0.408951 |
| national vaccination coverage | 0.441403 |
| higher coverage | 0.379095 |
| World Bank income | 0.412218 |
| Vaccine Action Plan | 0.686834 |
|
| pneumococcal conjugate vaccine | 0.407777 |
| coverage | 0.967465 |
| high coverage | 0.386183 |
| World Health Organization | 0.550205 |
| global immunization partners | 0.383376 |
| global coverage | 0.510283 |
| National DTP3 coverage | 0.486309 |
| countries | 0.812334 |
| Gavi support | 0.613588 |
| new vaccine introduction | 0.487284 |
| coverage estimates | 0.39667 |
| high quality vaccination | 0.369939 |
| diphtheria-tetanus-pertussis vaccine | 0.473076 |
| DTP3 coverage | 0.582164 |
| Bacille Calmette-Guérin vaccine | 0.38187 |
| Expanded Program | 0.388704 |
| low-income countries | 0.490524 |
| Global Vaccine Action | 0.678146 |
| WHO/UNICEF vaccination coverage | 0.414315 |
| equitable immunization services | 0.370377 |
| high vaccination coverage | 0.412111 |
| country income category | 0.397392 |
|
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