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Centers for Disease Control and Prevention |
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Specific Populations - Smoking & Tobacco Use |
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| email updates | 0.823672 |
| MPEG | 0.345912 |
| Tobacco | 0.486531 |
| PDF | 0.279145 |
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| PPT | 0.391665 |
| email address | 0.807714 |
| DOC | 0.339595 |
| different file formats | 0.969515 |
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| 4406 |
Centers for Disease Control and Prevention |
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Hurricane Logo (600W x 600H) |
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| 5591 |
Centers for Disease Control and Prevention |
Html |
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Phenyl ether-biphenyl mixture (vapor) - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7742 |
Centers for Disease Control and Prevention |
Html |
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Bartonella - Transmission |
Bartonella bacteria cause several diseases in humans. The three most common are cat scratch disease, caused by B. henselae; trench fever, caused by B. quintana; and Carrión's disease, caused by B. bacilliformis.
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| pets | 0.236072 |
| trench fever | 0.95735 |
| vertebrate reservoir | 0.400584 |
| North America | 0.400485 |
| competent arthropod vectors | 0.586301 |
| children | 0.241983 |
| homeless populations | 0.403748 |
| bartonellosis | 0.258355 |
| convincing evidence | 0.421585 |
| infected cat fleas | 0.740042 |
| western South America | 0.555017 |
| human body louse | 0.613807 |
| organism | 0.236397 |
| Andean highlands | 0.396974 |
| scratch | 0.238349 |
| European trenches | 0.414828 |
| sand flies | 0.393371 |
| B. rochalimae | 0.399208 |
| feral cats | 0.444093 |
| Oroya fever | 0.464714 |
| geographic distribution | 0.389957 |
| newly recognized species | 0.55935 |
| Andes Mountains | 0.400007 |
| infected body lice | 0.678911 |
| United States | 0.415215 |
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| scratches | 0.256765 |
| winter | 0.235678 |
| association | 0.234684 |
| worldwide distribution | 0.395469 |
| kittens | 0.237469 |
| poor sanitation | 0.408426 |
| high population density | 0.573698 |
| genus Lutzomyia | 0.41745 |
| Bartonella infection | 0.628039 |
| Stray cats | 0.420866 |
| CSD | 0.517098 |
| bite | 0.240308 |
| body louse infestations | 0.625088 |
| World War | 0.405427 |
| Peruvian warts | 0.399889 |
| elevation | 0.23587 |
| disease | 0.32774 |
| cases | 0.321832 |
| ticks | 0.291555 |
| People | 0.240302 |
| Bartonella bacteria | 0.875691 |
| verruga peruana | 0.392544 |
| ill traveler | 0.398042 |
| humans | 0.279172 |
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| 8558 |
Centers for Disease Control and Prevention |
Html |
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PanFlu Storybook - War Stories, Arne Thompson |
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. |
| Ret | 0.278731 |
| Coast Artillery Corps | 0.719502 |
| train ticket home | 0.65968 |
| aforementioned duty | 0.496453 |
| foreman | 0.265109 |
| dad | 0.337899 |
| David A. Thompson | 0.776934 |
| father | 0.244908 |
| soldiers | 0.316424 |
| PFC | 0.269519 |
| Railway Mail Service | 0.676689 |
| navigation Skip | 0.705922 |
| life | 0.243522 |
| CDR | 0.263377 |
| Christmas Eve | 0.463376 |
| Great Flu Pandemic | 0.846841 |
| Paynesville | 0.376748 |
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| Storyteller | 0.26017 |
| post office | 0.460762 |
| Arne Thompson | 0.519904 |
| separation pay | 0.453151 |
| World War | 0.713038 |
| Army | 0.288563 |
| cordwood | 0.288086 |
| list Skip | 0.710116 |
| page options Skip | 0.967819 |
| Norwegian immigrants | 0.494599 |
| Minnesota | 0.295414 |
| over-whelmed burial | 0.517439 |
| Camp Dodge | 0.467796 |
| graves | 0.252132 |
| family | 0.243444 |
| comrades | 0.271324 |
| CHC | 0.292967 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | A Binational Overview of Reproductive Health Outcomes Among US Hispanic and Mexican Women in the Border Region - CDC |
The US–Mexico border region has 15 million residents and 300,000 births annually. Reproductive health concerns have been identified on both sides of the border, but comparable information about reproductive health is not available. The objective of this study was to compare reproductive health indicators among populations in this region. |
| US–Mexico border communities | 0.227318 |
| Mexican women | 0.266153 |
| Mexican border women | 0.447068 |
| border birth rates | 0.247734 |
| United States | 0.507315 |
| total fertility rates | 0.224858 |
| Mexican border | 0.731344 |
| Mexican border areas | 0.276548 |
| high birth weight | 0.22076 |
| United States–Mexico border | 0.235366 |
| Mexican nonborder | 0.202192 |
| Mexican border states | 0.366282 |
| border state populations | 0.218434 |
| border residents | 0.221806 |
| US–Mexico border population | 0.25822 |
| US–Mexico border | 0.28221 |
| Mexican border municipios | 0.249603 |
| border rates | 0.225451 |
| Texas border counties | 0.235006 |
| Mexican birth certificate | 0.217403 |
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| Mexican border region | 0.400988 |
| border state births | 0.295235 |
| border | 0.935715 |
| US–Mexico border region | 0.250288 |
| border county births | 0.270373 |
| border region | 0.858768 |
| border population | 0.29063 |
| border states | 0.547215 |
| birth certificate | 0.260531 |
| border region women | 0.241506 |
| border counties | 0.299922 |
| births | 0.446874 |
| border region births | 0.303413 |
| Mexican border births | 0.379667 |
| reproductive health | 0.320954 |
| prenatal care | 0.30178 |
| border region municipios | 0.204281 |
| Mexican border regions | 0.270924 |
| U.S.–Mexico border region | 0.202961 |
| Hispanic US–Mexico border | 0.268726 |
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| 9349 |
Centers for Disease Control and Prevention |
Html |
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Dependencia de la nicotina y sus factores de riesgo entre beneficiarios de los servicios médicos para veteranos, 2008-2009 |
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| Tsai J | 0.736971 |
| mayores factores | 0.613545 |
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| Estados Unidos | 0.921469 |
| Chronic Dis | 0.711722 |
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| 11150 |
Centers for Disease Control and Prevention |
Html |
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NIOSH Update - NIOSH Health Hazard Evaluation Highlights Importance of Preventing Heat-Related Illness |
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| rest periods | 0.488675 |
| hot environment | 0.657675 |
| mental status | 0.493942 |
| recommendations | 0.430359 |
| fellow workers | 0.491151 |
| worksites | 0.4259 |
| federal agency | 0.485648 |
| heat stress | 0.7221 |
| cooler weather | 0.493638 |
| cool areas | 0.492851 |
| Health Hazard Evaluation | 0.931302 |
| heat-related illnesses | 0.6283 |
| heat rashes | 0.526612 |
| work-related injuries | 0.484647 |
| severe form | 0.493157 |
| Health Act | 0.485833 |
| heat stroke | 0.726902 |
| recent Health Hazard | 0.564856 |
| Press Office Contact | 0.590744 |
| exertion | 0.423089 |
| bizarre behavior | 0.492856 |
| cool area | 0.489835 |
| new workers | 0.496086 |
| heat-related illness | 0.748984 |
| mandatory buddy | 0.491987 |
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| symptoms | 0.429828 |
| outdoor tasks | 0.488994 |
| Drink water | 0.486292 |
| hot environments | 0.65631 |
| helpful tips | 0.486387 |
| heat illness prevention | 0.625782 |
| heat related illness | 0.613453 |
| Hazard Evaluation Program | 0.559919 |
| heat cramps | 0.524968 |
| Occupational Safety | 0.583523 |
| extreme heat | 0.580682 |
| national park | 0.577265 |
| hot summer | 0.501757 |
| frequent breaks | 0.48878 |
| pre-existing medical conditions | 0.568091 |
| low sugar beverages | 0.554024 |
| outdoor workers | 0.569098 |
| National Institute | 0.501792 |
| light-colored/light weight clothing | 0.554114 |
| hazard evaluation report | 0.727124 |
| Christina Spring | 0.502482 |
| body’s response | 0.495027 |
| information | 0.429922 |
| acclimatization | 0.447287 |
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Centers for Disease Control and Prevention |
Html |
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QA: Infants and Zika Virus Infection | Zika virus |
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| 16389 |
Centers for Disease Control and Prevention |
Html |
en |
Child Development, Developmental Screening |
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| school settings | 0.474858 |
| American Academy | 0.544191 |
| developmental screening test | 0.685475 |
| early childhood programs | 0.537128 |
| developmental problems | 0.586332 |
| basic skills | 0.47797 |
| children | 0.606117 |
| educational settings | 0.4726 |
| Additional screening | 0.515077 |
| school readiness | 0.474267 |
| early warning signs | 0.535086 |
| Bright Futures materials | 0.520293 |
| intervention treatment services | 0.683418 |
| developmental disabilities | 0.579358 |
| formal diagnosis | 0.539983 |
| time significant delays | 0.582089 |
| early intervention treatment | 0.685891 |
| regular well-child doctor | 0.540007 |
| emotional well-being | 0.474656 |
| Well-child visits | 0.476646 |
| behavioral disability | 0.470885 |
| early intervention services | 0.679295 |
| important skills | 0.470373 |
| special health care | 0.547618 |
| high risk | 0.475674 |
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| intellectual disability | 0.473619 |
| child | 0.59844 |
| Screening Guidelines | 0.500475 |
| United States | 0.475338 |
| developmental screening | 0.933179 |
| well-child visit | 0.48209 |
| periodic developmental screening | 0.6972 |
| healthy development | 0.479619 |
| developmental disorders | 0.569974 |
| health care | 0.552225 |
| developmental monitoring | 0.722983 |
| language delays | 0.517298 |
| regular contact | 0.478547 |
| developmental delays | 0.858814 |
| special needs | 0.47789 |
| early intervention | 0.872473 |
| short test | 0.478072 |
| attention-deficit/hyperactivity disorder | 0.478842 |
| emotional health issues | 0.524031 |
| Bright Futures | 0.522867 |
| National Association | 0.471385 |
| low birthweight | 0.482439 |
| Young Children | 0.484812 |
| Developmental Surveillance | 0.564756 |
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