| 5299 |
Centers for Disease Control and Prevention |
Html |
en |
Key Facts About Flood Readiness|Floods |
Information on floods. Provided by the Centers for Disease Control and Prevention (CDC). |
| Post emergency phone | 0.829857 |
| clean water | 0.847269 |
| sheet Updated Information | 0.763543 |
| flood watch | 0.73584 |
| potential home hazards | 0.798369 |
| aid kit | 0.778127 |
| emergency plans | 0.802945 |
| emergency shelters | 0.796964 |
| main gas valve | 0.777974 |
| Regarding Insect Repellents | 0.767706 |
| emergency period | 0.722503 |
| Inform local authorities | 0.798708 |
| safest possible manner | 0.760937 |
| water supplies | 0.750362 |
| Water-purifying supplies | 0.712913 |
| back-up power | 0.708614 |
| Disposable cleaning cloths | 0.76102 |
| household chlorine bleach | 0.772373 |
| install sump pumps | 0.77488 |
| non-perishable food | 0.706788 |
| flood elevation | 0.748806 |
| weather updates | 0.768721 |
| evacuation routes | 0.840372 |
| clean water containers | 0.783819 |
| family contact | 0.734672 |
|
| Personal hygiene supplies | 0.782663 |
| pooled water | 0.71569 |
| plastic soda bottles | 0.766404 |
| landslide-prone area | 0.723143 |
| greatest potential path | 0.746048 |
| electrical power | 0.710713 |
| coolest possible temperature | 0.753175 |
| case bathing facilities | 0.769452 |
| special medical needs | 0.771158 |
| bedridden people | 0.710458 |
| main power switch | 0.783203 |
| licensed electrician raise | 0.77863 |
| emergency personnel | 0.713243 |
| phone number | 0.708944 |
| flood evacuation route | 0.917266 |
| county planning department | 0.796853 |
| evacuation order | 0.745381 |
| baby supplies | 0.715965 |
| flood warning | 0.734531 |
| family pets | 0.706575 |
| power lines | 0.709785 |
| flash-flood-prone area | 0.723183 |
| local county geologist | 0.800979 |
| Anchor fuel tanks | 0.767474 |
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| 6509 |
Centers for Disease Control and Prevention |
Html |
en |
Maps - Yellow Fever |
Maps of Yellow fever endemic areas in Africa and South America. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
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| 11035 |
Centers for Disease Control and Prevention |
Html |
en |
Antibiotic resistance in foodborne germs is an ongoing threat | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| baseline period | 0.459758 |
| data | 0.358354 |
| troubling trends | 0.348962 |
| Campylobacter data | 0.341649 |
| antibiotic-resistant infections | 0.451223 |
| CDC’s ability | 0.403116 |
| typhoid fever | 0.450294 |
| Shigella resistance | 0.548874 |
| resistant Salmonella enteritidis | 0.719479 |
| fluoroquinolone resistance | 0.534224 |
| drug-resistant Salmonella | 0.521832 |
| drug nalidixic acid | 0.433622 |
| Disease Control | 0.351344 |
| CDC website | 0.406655 |
| fluoroquinolone drug | 0.43384 |
| common Salmonella type | 0.622363 |
| greater resistance | 0.550043 |
| CDC NARMS monitors | 0.658535 |
| public health partners | 0.439109 |
| NARMS report | 0.489805 |
| resistance | 0.910991 |
| Salmonella serotype | 0.546438 |
| CDC’s Division | 0.422664 |
| Ceftriaxone resistance | 0.557378 |
| National Antimicrobial Resistance | 0.669749 |
|
| CDC NARMS | 0.687699 |
| widely used fluoroquinolone | 0.427103 |
| Shigella strains | 0.341681 |
| resistant germs | 0.520445 |
| recent data | 0.35037 |
| United States | 0.490166 |
| resistance levels | 0.553396 |
| Salmonella typhi | 0.562185 |
| public health threat | 0.47233 |
| resistant Salmonella infections | 0.765668 |
| foodborne germs | 0.783358 |
| percent | 0.409655 |
| nalidixic acid | 0.543037 |
| multi-drug resistant Salmonella | 0.794842 |
| annual funding level | 0.420814 |
| antibiotic resistance | 0.897066 |
| latest data | 0.342571 |
| public health | 0.474003 |
| percent reduction | 0.369597 |
| common foodborne germs | 0.555006 |
| severe Salmonella infections | 0.725847 |
| Salmonella Heidelberg infections | 0.732909 |
| urgent antibiotic resistance | 0.688551 |
| Campylobacter resistance | 0.549439 |
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| 11435 |
Centers for Disease Control and Prevention |
Html |
en |
CDC issues guidance to improve health and safety at public pools | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC | 0.276105 |
| two-thirds | 0.254076 |
| public comments | 0.42146 |
| data | 0.274403 |
| injuries | 0.275212 |
| safe operation | 0.439662 |
| emergency department visits | 0.602489 |
| up-to-date guidance | 0.389142 |
| academic experts | 0.39449 |
| tips | 0.241252 |
| public health departments | 0.613623 |
| number | 0.240205 |
| Disease Control | 0.448935 |
| regularly updating pool | 0.581486 |
| guidelines | 0.241972 |
| public pool regulations | 0.684196 |
| recreational water illnesses | 0.571644 |
| state | 0.305372 |
| air quality | 0.442053 |
| water filtration | 0.437299 |
| MAHC | 0.262594 |
| public pool operators | 0.683051 |
| blueprint | 0.240993 |
| national Model Aquatic | 0.6623 |
| outbreaks | 0.242941 |
|
| Centers | 0.242166 |
| disinfection | 0.249499 |
| ventilation | 0.240216 |
| staff training | 0.441841 |
| great variability | 0.408845 |
| safe environment | 0.402398 |
| Prevention | 0.242105 |
| public pool owners | 0.607177 |
| public pool | 0.72841 |
| public aquatic facilities | 0.677604 |
| design | 0.241132 |
| pool chemicals | 0.431844 |
| frequent victims | 0.409768 |
| aquatics sector | 0.396339 |
| construction | 0.241108 |
| healthy swimming | 0.407124 |
| local health departments | 0.98119 |
| pool inspections | 0.420123 |
| swimmers | 0.432062 |
| pool codes | 0.527882 |
| Model Aquatic Health | 0.990241 |
| local level | 0.402906 |
| public pools | 0.645255 |
| Aquatic Health Code | 0.977462 |
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| 11625 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Telebriefing: Update on Ebola Response Tool | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| data | 0.563043 |
| maggie fox | 0.424071 |
| United Nations | 0.458144 |
| advisable treatment units | 0.414458 |
| guinea | 0.410105 |
| ETUs | 0.451427 |
| joint force command | 0.663006 |
| number | 0.463792 |
| direct patient care | 0.417934 |
| terms | 0.426792 |
| things | 0.446963 |
| model | 0.433157 |
| good morning | 0.521846 |
| epidemic | 0.485816 |
| tom frieden | 0.928493 |
| countries | 0.473369 |
| Asian countries | 0.408127 |
| ebola treatment units | 0.789227 |
| Ebola response tool | 0.474243 |
| community care models | 0.418043 |
| eben brown | 0.450372 |
| ground | 0.495549 |
| richard besser | 0.455054 |
| care | 0.52777 |
| Ebola virus disease | 0.421121 |
|
| Ebola epidemic | 0.418027 |
| community care | 0.457131 |
| Miss Smith | 0.43134 |
| line | 0.430242 |
| MENU
CDC A-Z | 0.411554 |
| TOM SKINNER | 0.781582 |
| death rate | 0.427574 |
| Sierra Leone | 0.618633 |
| Ebola care units | 0.451881 |
| emergency Ebola response | 0.456165 |
| dr. frieden | 0.956769 |
| health care workers | 0.42118 |
| gayle smith | 0.915822 |
| Dr. Tom Frieden | 0.524695 |
| cases | 0.409286 |
| question | 0.58178 |
| Ebola treatment centers | 0.43825 |
| lena sun | 0.424472 |
| Ms. Gayle Smith | 0.519722 |
| people | 0.50863 |
| assistance response team | 0.425342 |
| OPERATOR | 0.43844 |
| response | 0.648677 |
| West Africa | 0.412595 |
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| 13418 |
Centers for Disease Control and Prevention |
Html |
en |
Adults Meeting Fruit and Vegetable Intake Recommendations -United States, 2013 |
Latetia V. Moore, PhD1; Frances E. Thompson, PhD2 (Author affiliations at end of text). |
| dietary guidelines | 0.469033 |
| physical activity daily | 0.539721 |
| fruit intake recommendations | 0.664894 |
| vegetable consumption | 0.538555 |
| orange vegetables | 0.508679 |
| fruit recommendations | 0.482442 |
| health risk behaviors | 0.474187 |
| moderate physical activity | 0.538393 |
| median daily frequency | 0.491897 |
| underestimate intake | 0.518434 |
| population meeting recommendations | 0.491828 |
| BRFSS | 0.536195 |
| fruit juice | 0.518264 |
| federal intake recommendations | 0.604782 |
| day-to-day dietary variation | 0.471223 |
| vegetable intake information | 0.613486 |
| intake data | 0.534949 |
| vegetable intake recommendations | 0.818042 |
| income-to-poverty ratio | 0.515589 |
| BRFSS survey module | 0.476661 |
| substantial variation | 0.470989 |
| cup equivalents | 0.550167 |
| dietary recall data | 0.473709 |
| daily intake frequencies | 0.566623 |
| respondents | 0.512134 |
|
| median American Association | 0.473655 |
| newly developed prediction | 0.476511 |
| Frances E. Thompson | 0.470893 |
| BRFSS captures frequency | 0.485455 |
| national estimates | 0.474706 |
| preventive health services | 0.473709 |
| low fruit | 0.472045 |
| Behavioral Risk Factor | 0.469872 |
| fewer vegetables | 0.471875 |
| population meeting | 0.506325 |
| vegetables | 0.593044 |
| vegetable recommendations | 0.512789 |
| Latetia V. Moore | 0.531867 |
| Self-reported intake | 0.518381 |
| child care | 0.504672 |
| BRFSS respondents | 0.504314 |
| 50 states | 0.504073 |
| random-digit–dialed telephone survey | 0.469884 |
| prediction equations | 0.577004 |
| vegetable intake | 0.934452 |
| total U.S. population | 0.47479 |
| meeting vegetable intake | 0.593284 |
| dark green vegetables | 0.569167 |
| dietary surveillance information | 0.476615 |
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| 14099 |
Centers for Disease Control and Prevention |
Html |
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Possible Association Between Zika Virus Infection and Microcephaly - Brazil, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Embryopathy Task Force | 0.47994 |
| Zika virus | 0.959129 |
| autochthonous Zika virus | 0.503542 |
| task force | 0.518729 |
| pregnant women | 0.498212 |
| Brazil | 0.563648 |
| birth prevalence | 0.462235 |
| gestational age | 0.528135 |
| incident microcephaly cases | 0.594671 |
| Zika virus exposure | 0.501637 |
| Zika virus RNA | 0.571836 |
| infants | 0.539805 |
| previously reported estimates | 0.46658 |
| northeast Brazil | 0.46348 |
| virus-associated congenital infections | 0.459403 |
| microcephaly registry | 0.559631 |
| Brazil Ministry | 0.488953 |
| dengue virus | 0.490248 |
| pregnancy | 0.472771 |
| insect repellents | 0.480187 |
| microcephaly depend | 0.545987 |
| Zika virus–related cases | 0.495839 |
| newly circulating virus | 0.483962 |
| live births | 0.477979 |
|
| rash illness | 0.50019 |
| major congenital anomalies | 0.459282 |
| head circumference | 0.563756 |
| Environmental Protection Agency | 0.488638 |
| Rio Grande | 0.46978 |
| term infants | 0.452797 |
| simplex virus infections | 0.491214 |
| microcephaly cases | 0.599596 |
| adverse pregnancy outcomes | 0.453928 |
| MoH | 0.465363 |
| pregnancy outcomes | 0.454888 |
| possible association | 0.465986 |
| congenital anomalies | 0.491283 |
| Zika virus infection | 0.834597 |
| congenital infections | 0.540316 |
| U.S. Environmental Protection | 0.488397 |
| special notification protocol | 0.466256 |
| potential Zika virus | 0.542261 |
| Medical Genetics | 0.468088 |
| northeastern Brazil | 0.467739 |
| Zika Embryopathy Task | 0.470829 |
| Zika virus-affected areas | 0.570503 |
| potential breeding areas | 0.455835 |
| neonatal head circumference | 0.4539 |
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| 14221 |
Centers for Disease Control and Prevention |
Html |
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Announcement | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| sleep disorders | 0.658774 |
| optimal health | 0.202646 |
| good sleep habits | 0.862684 |
| light-emitting electronic devices | 0.334864 |
| American Academy | 0.347209 |
| original MMWR paper | 0.296869 |
| poor mental health | 0.33095 |
| Human Services | 0.278597 |
|
| Research Society recommend | 0.353079 |
| U.S. Department | 0.273221 |
| National Sleep Foundation | 0.74726 |
| high blood pressure | 0.325569 |
| electronic PDF version | 0.289225 |
| Sleep Research Society | 0.979776 |
| Sleep Medicine | 0.69189 |
| Consensus Conference Panel | 0.307208 |
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| 14230 |
Centers for Disease Control and Prevention |
Html |
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CROI Press Release: HIV Risk | 2016 | Newsroom | NCHHSTP |
null |
| Impact Prevention approach | 0.36596 |
| CDC | 0.385809 |
| effective prevention strategies | 0.364141 |
| CDC’s National | 0.345942 |
| prevention tools | 0.257884 |
| HIV prevention | 0.627194 |
| HIV infections | 0.510788 |
| risk groups | 0.275215 |
| Disease Control | 0.262969 |
| Jonathan Mermin | 0.257014 |
| foregone conclusion | 0.253626 |
| black MSM | 0.393889 |
| lifetime risk estimates | 0.566852 |
| unacceptably high risk | 0.38387 |
| daily anti-HIV pill | 0.346819 |
| masks large disparities | 0.378699 |
| CDC’s Division | 0.31953 |
| HIV prevention funding | 0.578332 |
| highest risk | 0.273482 |
| lifetime risk | 0.928492 |
| white MSM | 0.39484 |
| death rates | 0.251364 |
| Latino MSM | 0.558657 |
| United States | 0.399447 |
| HIV epidemic | 0.501128 |
|
| Southern health departments | 0.326698 |
| diagnoses rates | 0.27136 |
| key populations | 0.260401 |
| lifetime HIV risk | 0.768681 |
| future reductions | 0.251203 |
| overall risk | 0.288944 |
| HIV diagnosis | 0.795896 |
| HIV risk group | 0.671483 |
| Tuberculosis Prevention | 0.279471 |
| higher risk | 0.274301 |
| HIV prevention efforts | 0.597287 |
| black men | 0.275634 |
| CDC researchers | 0.340889 |
| new analysis | 0.385836 |
| bisexual men | 0.36352 |
| HIV/AIDS Prevention | 0.257027 |
| Opportunistic Infections | 0.266023 |
| current HIV | 0.551764 |
| HIV | 0.985364 |
| high-risk uninfected people | 0.348851 |
| higher lifetime risk | 0.50992 |
| CROI resources page | 0.357648 |
| HIV testing | 0.461333 |
| comprehensive national estimates | 0.408568 |
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| 16373 |
Centers for Disease Control and Prevention |
Html |
en |
Micronutrient Facts | IMMPaCt |
Micronutrients are dietary components, often called vitamins and minerals, which although only required by the body in small amounts, are vital to development, disease prevention, and wellbeing. |
| successful nutrition interventions | 0.601886 |
| iodine deficiency9 | 0.63621 |
| Zinc Availability | 0.523845 |
| insufficient iodine intake10 | 0.73045 |
| non-pregnant women | 0.515539 |
| Vitamin A supplementation | 0.699316 |
| Flour fortification | 0.529077 |
| mineral deficiencies | 0.808225 |
| neural tube defects | 0.577045 |
| pregnant women | 0.702093 |
| global population | 0.52241 |
| Global Progress | 0.513985 |
| lowers all-cause mortality | 0.627031 |
| micronutrients | 0.511613 |
| public health concern,7 | 0.594239 |
| zinc deficiency | 0.64958 |
| iodine content | 0.637489 |
| Global Report | 0.813322 |
| iodine nutrition | 0.608403 |
| dietary components | 0.526404 |
| global households | 0.531298 |
| Low hemoglobin concentration | 0.606747 |
| micronutrient deficiency | 0.57772 |
| iron deficiency3 | 0.530423 |
| National Food Supplies | 0.573811 |
|
| small amounts | 0.520276 |
| Zinc supplementation | 0.566725 |
| healthy pregnancy outcomes12 | 0.588945 |
| worldwide ages | 0.520509 |
| perinatal mortality | 0.539401 |
| iodine deficiency | 0.853704 |
| folic acid supplementation | 0.672736 |
| inadequate dietary intake | 0.598776 |
| Andersson M. Assessment | 0.57724 |
| iron status | 0.528338 |
| pre-school aged children | 0.605639 |
| folic acid supplements | 0.675069 |
| disease prevention | 0.521824 |
| Lancet Global Health | 0.606102 |
| folic acid | 0.971046 |
| iodine deficiency disorders | 0.764136 |
| low-cost micronutrient interventions | 0.617841 |
| devastating consequences | 0.516567 |
| essential mineral | 0.528879 |
| Global Prevalence | 0.532873 |
| maternal iodine deficiency | 0.77891 |
| cognitive development | 0.61683 |
| iron | 0.555226 |
| low birth weight | 0.607698 |
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