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Global Health - Kenya - Blog: Irene's Story: Evidence-Based HIV Prevention Interventions Support Vulnerable Children |
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. |
| siblings | 0.615118 |
| Mukuru Center | 0.540994 |
| information technology | 0.537746 |
| U.S. CDC Kenya | 0.745497 |
| HIV Prevention Program | 0.65225 |
| sad story | 0.541342 |
| house rent | 0.537525 |
| AIDS Relief | 0.660373 |
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| community youth group | 0.638126 |
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| Emergency Plan | 0.665891 |
| innocent face | 0.533404 |
| father figure | 0.533411 |
| economic empowerment projects | 0.639243 |
| psychosocial support | 0.542312 |
| sex work | 0.683992 |
| entrepreneurship training | 0.537124 |
| weakest place | 0.727455 |
| Healthy Choices facilitator | 0.637496 |
| household identification process | 0.65651 |
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| younger siblings | 0.609598 |
| certificate course | 0.53291 |
| CDC’s partners | 0.5573 |
| Irene | 0.979995 |
| U.S. President | 0.652802 |
| adult support | 0.54822 |
| sole provider | 0.545922 |
| graphic design business | 0.645312 |
| beauty courses | 0.536862 |
| U.S. dollars | 0.537051 |
| current situation | 0.537864 |
| vocational skills training | 0.6477 |
| evidenced-based HIV prevention | 0.662926 |
| Healthy Choices | 0.662794 |
| Hope WorldWide Kenya | 0.670124 |
| slum girls | 0.715964 |
| abject poverty | 0.556666 |
| KENYA BLOG | 0.575981 |
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| community toilet project | 0.637831 |
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Keeping Cool in a Heat Wave'PSAs for Disasters |
The Centers for Disease Control and Prevention (CDC) provides Public Service Announcements (PSAs) to help share life-saving information during natural disasters and severe weather. English and Spanish PSAs are in a variety of formats including text, audio, and video. |
| Water | 0.523589 |
| Carbon Monoxide Poisoning | 0.593614 |
| Kreyòk Ayisyen | 0.528926 |
| DME Batteries | 0.539967 |
| Generator Safety | 0.526936 |
| Cold Weather | 0.576627 |
| Apre yon Katastwòf | 0.519098 |
| Sanitize Food Cans | 0.511536 |
| Loved Ones | 0.536427 |
| Mold Cleaning | 0.518854 |
| Haitian Creole | 0.56641 |
| yon Katastwòf Natirèl | 0.519261 |
| disasters | 0.511449 |
| Kid | 0.536966 |
| Pet Kit | 0.551677 |
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| Pet Microchip | 0.528772 |
| Kids | 0.51815 |
| Heat | 0.518704 |
| Chain Saw Injuries | 0.522181 |
| Canned Drinks | 0.521924 |
| Cell Phone | 0.524477 |
| Renal Diet | 0.536439 |
| Preparedness Tip | 0.963606 |
|
| Hypothermia | 0.516852 |
| Evacuation Centers | 0.513584 |
| Supply Recheck | 0.536853 |
| Carbon Monoxide | 0.600726 |
| Spanish [Español] | 0.522848 |
| Food – Perishables | 0.52187 |
| Food – Canned | 0.520647 |
| Food – Cans | 0.532221 |
| Early Treatment | 0.533557 |
| Extreme Heat | 0.513166 |
| Safety | 0.527094 |
| Stay | 0.513724 |
| Food | 0.537248 |
| Flood Water | 0.521592 |
| Disaster Preparedness | 0.583267 |
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| Emergency Wound Care | 0.514803 |
| Dialysis Kit | 0.533621 |
| Public Service Announcements | 0.516163 |
| Educational Materials | 0.511783 |
| Power Outage Spanish | 0.512924 |
| Worker Safety | 0.512329 |
| severe weather | 0.511548 |
| Power Line | 0.524657 |
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B Virus | Risk for Infection | Herpes B | CDC |
Persons at greatest risk for B virus infection are veterinarians, laboratory workers, and others who have close contact with Old World macaques or monkey cell cultures. |
| infection | 0.713804 |
| Clinical Infectious Diseases | 0.617056 |
| CDC | 0.243617 |
| laboratory workers | 0.479231 |
| latent state | 0.485843 |
| scratches | 0.271072 |
| reactivation | 0.279047 |
| tissue | 0.24332 |
| latent infection | 0.652278 |
| primate center | 0.466717 |
| Prevention section | 0.433039 |
| virus | 0.76889 |
| eyes | 0.24293 |
| newer antiviral agents | 0.637954 |
| example | 0.238379 |
| veterinarians | 0.249109 |
| evaluation | 0.238104 |
| updates previous recommendations | 0.63423 |
| mucosal surfaces | 0.510991 |
| indirect contact | 0.47379 |
| Persons | 0.246038 |
| Old World macaques | 0.975241 |
|
| close contact | 0.476801 |
| needlestick injury | 0.453955 |
| animals | 0.239708 |
| biologic material | 0.459298 |
| monkey cell cultures | 0.727792 |
| post-exposure prophylaxis | 0.48386 |
| secretions | 0.27889 |
| case | 0.238351 |
| group | 0.274786 |
| nose | 0.251791 |
| tissues | 0.256572 |
| greatest risk | 0.47298 |
| animal bites | 0.47989 |
| adulthood | 0.26068 |
| Human infection | 0.621959 |
| mouth | 0.250125 |
| infected body fluid | 0.703838 |
| response | 0.238398 |
| Cercopithecine Herpesvirus | 0.454309 |
| Transmission section | 0.420404 |
| active viral shedding | 0.677697 |
| time | 0.24104 |
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Importation and Containment of Ebola Virus Disease -Senegal, August-September 2014 |
On September 30, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Institut Pasteur Dakar | 0.709004 |
| Ebola treatment unit | 0.78238 |
| University Hospital Fann | 0.966933 |
| recent travel | 0.555176 |
| West African country | 0.540712 |
| Red Cross Society | 0.544325 |
| MMWR Early Release | 0.568591 |
| anticipated imported cases | 0.56065 |
| tertiary care hospital | 0.574832 |
| health screening | 0.551531 |
| Health Organization | 0.618787 |
| World Health Organization | 0.590969 |
| Papa Amadou Diack | 0.567493 |
| Global Health | 0.559718 |
| Kelsey Mirkovic | 0.562232 |
| health care staff | 0.623068 |
| Ebola patients | 0.699575 |
| unrelated suspected cases | 0.548973 |
| Ebola | 0.954485 |
| resistant health care | 0.610298 |
| transcriptase–polymerase chain reaction | 0.550047 |
| Ebola virus disease | 0.804443 |
| Household member contacts | 0.562986 |
| Ebola health care | 0.810547 |
| in-person temperature monitoring | 0.550634 |
|
| public health staff | 0.629363 |
| infection control | 0.550864 |
| Sierra Leone | 0.550145 |
| Ebola cases | 0.757646 |
| Ebola importation | 0.751276 |
| health personnel | 0.636201 |
| possible Ebola importation | 0.743791 |
| neighborhood health post | 0.606103 |
| health care workers | 0.621495 |
| incident command structure | 0.661558 |
| health care | 0.863147 |
| Red Cross volunteers | 0.791635 |
| care worker contacts | 0.788054 |
| health care worker | 0.808426 |
| rapid Ebola identification | 0.722241 |
| 8World Health Organization | 0.58915 |
| 7World Health Organization | 0.589315 |
| current Ebola epidemic | 0.736005 |
| Ebola patient | 0.710356 |
| public health personnel | 0.6349 |
| Senegal Ministry | 0.723245 |
| West Africa | 0.597108 |
| 21-day monitoring period | 0.569991 |
| laboratory testing | 0.55345 |
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CDC update on first Ebola case diagnosed in the United States: 10-04-2014 | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Synaptic Digital/Tom Harkin | 0.682142 |
| CDC | 0.670672 |
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| HUMAN SERVICES | 0.471015 |
| press conference | 0.483002 |
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| Clay Lewis Jenkins | 0.6604 |
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| Centers | 0.365562 |
| 720p | 0.352421 |
| Dallas County | 0.500318 |
| United States | 0.514274 |
| State Health Services | 0.663648 |
| Satellite feed service | 0.619002 |
| Prevention | 0.365449 |
| Ebola case | 0.550051 |
| transcript | 0.411512 |
| press office | 0.500749 |
| contact CDC | 0.613504 |
| U.S. DEPARTMENT | 0.471342 |
| PASSCODE | 0.352634 |
| M.P.H | 0.354079 |
| Tom Harkin Global | 0.698361 |
| question | 0.395732 |
| FEC | 0.348639 |
| Harkin Global Communications | 0.911088 |
| Commissioner | 0.335895 |
| Reporters | 0.369322 |
| Ebola Virus | 0.502992 |
| visit http://www.cdc.gov/museum/visitor.htm | 0.480329 |
| investigation | 0.334877 |
| time | 0.359263 |
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What is SEED? |
This video talks about the study to explore early development (SEED).
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/NCBDDD/video/autism/WhatIsSEED/index.html |
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What is Gestational Diabetes? |
This page provides information on gestational diabetes. |
| low blood sugar | 0.473396 |
| pregnancies | 0.410082 |
| medical history | 0.441754 |
| large baby | 0.436546 |
| body | 0.475629 |
| type | 0.462513 |
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| pregnant women | 0.439448 |
| healthy eating plan | 0.467017 |
| pancreas | 0.409685 |
| healthy food | 0.441405 |
| late pregnancy | 0.440474 |
| energy | 0.409493 |
| risk factors | 0.437656 |
| need | 0.422318 |
| pregnancy | 0.531927 |
| healthy range | 0.441529 |
| prenatal appointments | 0.436935 |
| symptoms | 0.408935 |
| condition | 0.408936 |
| regular physical activity | 0.531341 |
| C-section | 0.409461 |
| right times | 0.435442 |
| women | 0.450511 |
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| United States | 0.446634 |
| hormones | 0.40895 |
| weight gain | 0.437956 |
| changes | 0.417373 |
| healthy body weight | 0.469739 |
| hormone | 0.409143 |
| right amounts | 0.435458 |
| gestational diabetes | 0.985395 |
| insulin resistance | 0.560282 |
| Insulin resistance increases | 0.493844 |
| key | 0.409511 |
| higher risk | 0.468678 |
| delivery | 0.41845 |
| Talk | 0.417853 |
| healthy baby | 0.448457 |
| doctor | 0.49514 |
| cesarean section | 0.4416 |
| healthy pregnancy | 0.472881 |
| high blood pressure | 0.471681 |
| baby | 0.507075 |
| baby’s health | 0.434903 |
| risk | 0.472053 |
| blood sugar | 0.75158 |
| levels | 0.417169 |
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PRAMS and Influenza Vaccination Data Tables |
Influenza Vaccination Among Women with a Recent Live Birth, Pregnancy Risk Assessment Monitoring Systems (PRAMS), 2009-10 Influenza Season - CDC |
| recent pregnancy | 0.525928 |
| half | 0.497793 |
| Prevalence | 0.432719 |
| Page | 0.444373 |
| Infants | 0.426453 |
| complex survey design | 0.866214 |
| states | 0.421822 |
| Pregnancy Risk Assessment | 0.641579 |
| socio-demographic characteristics | 0.564379 |
| nurse | 0.422388 |
| Children | 0.421156 |
| recent live birth-Pregnancy | 0.681203 |
| coverage | 0.425003 |
| influenza season | 0.75225 |
| health care worker | 0.638607 |
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| Table | 0.449205 |
| Program | 0.421241 |
| question | 0.420929 |
| State-specific influenza vaccination | 0.856037 |
| Special Supplemental Nutrition | 0.649271 |
| New York city | 0.648881 |
| seasonal flu | 0.533966 |
| WIC | 0.439041 |
| *Vaccination | 0.42335 |
| Participant | 0.430349 |
| confidence interval | 0.947758 |
| Risk Assessment Monitoring | 0.903242 |
| confidence intervals | 0.779479 |
| sample sizes | 0.663583 |
| recent live birth | 0.646922 |
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Living With HIV | HIV Basics | HIV/AIDS | CDC |
This page provides basic guide and tips on what to do when you are living with HIV. |
| HIV-infected person | 0.543634 |
| pre-exposure prophylaxis | 0.541005 |
| STD | 0.514914 |
| male condom | 0.542936 |
| CDC | 0.51683 |
| health care provider | 0.65137 |
| HIV-infected persons | 0.54434 |
| rectal fluids | 0.542392 |
| right way | 0.662674 |
| milliliter | 0.513966 |
| viral load | 0.668758 |
| Disease Control | 0.54125 |
| HIV status | 0.755955 |
| viral suppression | 0.544417 |
| social service providers | 0.577598 |
| usage guidelines | 0.540062 |
| diagnosis | 0.524769 |
| Health department staff | 0.579269 |
| HIV medicines | 0.673914 |
| United States | 0.587961 |
| antiretroviral therapy | 0.552453 |
| early stages | 0.541922 |
| HIV Treatment Works | 0.844695 |
| sores | 0.515902 |
| local HIV support | 0.7187 |
|
| opportunistic infections | 0.540437 |
| pre-chewing her baby | 0.540195 |
| daily medicine | 0.539639 |
| Start Talking campaigns | 0.575912 |
| life-changing event | 0.545125 |
| chance | 0.516204 |
| drugs | 0.513753 |
| sex | 0.546186 |
| partner notification services | 0.640429 |
| breast milk | 0.539326 |
| resources | 0.517123 |
| vaginal sex | 0.543007 |
| people | 0.589295 |
| medical care | 0.549611 |
| better quality | 0.548768 |
| sexual partners | 0.546062 |
| blood | 0.534146 |
| certain body fluids | 0.573893 |
| better treatments | 0.547126 |
| HIV | 0.963068 |
| Allied health care | 0.57639 |
| needle-sharing partners | 0.627381 |
| free partner notification | 0.582561 |
| antiretroviral treatments | 0.542488 |
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Integrated Mosquito Management |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Mosquito control plans | 0.685228 |
| EPA-registered insecticides | 0.496246 |
| roadside trash | 0.47943 |
| insecticide resistance | 0.478762 |
| important step | 0.484655 |
| pupae | 0.481854 |
| biting adults | 0.477317 |
| monitoring places | 0.486004 |
| storm drains | 0.475829 |
| surveillance activities | 0.549833 |
| Monitor control programs | 0.548745 |
| backpack sprayers | 0.478202 |
| mosquitoes | 0.940749 |
| activities help professionals | 0.562169 |
| eggs | 0.512038 |
| viruses | 0.534243 |
| septic tanks | 0.47435 |
| neighborhood cleanup campaign | 0.540019 |
| eggs hatch | 0.489758 |
| illegal dumps | 0.482548 |
| IMM | 0.489663 |
| vector management | 0.490065 |
| local government agencies | 0.549284 |
| local mosquitoes | 0.652788 |
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| hold water | 0.48107 |
| adult mosquitoes | 0.82814 |
| label instructions | 0.554329 |
| Environmental Protection Agency | 0.679516 |
| populations | 0.504693 |
| professionals | 0.625369 |
| public spaces | 0.479694 |
| large items | 0.479232 |
| standing water | 0.547697 |
| flower pot saucers | 0.547391 |
| water-holding structures | 0.479007 |
| additional studies | 0.477557 |
| public places | 0.476558 |
| Control adult mosquitoes | 0.711555 |
| mosquito surveillance | 0.604405 |
| trash containers | 0.474968 |
| larger areas | 0.477337 |
| illegally dumped tires | 0.557441 |
| mosquito life cycle | 0.691067 |
| larvae need water | 0.609848 |
| people | 0.487516 |
| Control larvae | 0.54815 |
| control activities | 0.50141 |
| Local governments | 0.490375 |
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