| 756 |
Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables |
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. |
| H. influenzae | 0.599689 |
| National Center | 0.514082 |
| Immunization | 0.352742 |
| viruses | 0.349656 |
| cases | 0.716921 |
| CDC | 0.507056 |
| Table | 0.349266 |
| novel influenza | 0.861674 |
| Total case counts | 0.686911 |
| serotypes | 0.349417 |
|
| measles cases | 0.551242 |
| ** Data | 0.563159 |
| Cumulative total E. | 0.694906 |
| Influenza Division | 0.6465 |
| probable cases | 0.536727 |
| Respiratory Diseases | 0.520203 |
| ages | 0.349508 |
| rubella cases | 0.517727 |
| human infection | 0.541545 |
| influenza A virus | 0.699733 |
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| 1298 |
Centers for Disease Control and Prevention |
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Assessing and Mitigating the Risks for Polio Outbreaks inPolio-Free Countries - Africa, 2013-2014 |
McKenzie Andre, MD1, Chris G. Wolff, MPH2, Rudolf H. Tangermann, MD2, Paul Chenoweth, ND2, Graham Tallis, MBBS2, Jean Baptiste Kamgang, MS1, Steven G. |
| population immunity risk | 0.594692 |
| supplementary immunization activities | 0.555744 |
| high-risk countries | 0.717019 |
| GPEI partners | 0.626737 |
| polio eradication | 0.697844 |
| WPV importation outbreaks | 0.657881 |
| current risk assessment | 0.582668 |
| polio outbreaks | 0.589012 |
| NPAFP rate | 0.559338 |
| moderate risk category | 0.560534 |
| Equatorial Guinea | 0.800693 |
| surveillance performance indicators | 0.661706 |
| low risk countries | 0.617948 |
| childhood immunity | 0.789919 |
| African countries | 0.766484 |
| Genomic sequence analysis | 0.63186 |
| immunity risk criteria | 0.655411 |
| immunization activities | 0.591077 |
| polio-free countries | 0.593903 |
| routine immunization | 0.586589 |
| high-risk tier | 0.586599 |
| international polio SIA | 0.566819 |
| WPV | 0.691186 |
| moderate risk | 0.604317 |
|
| Global Polio Eradication | 0.596858 |
| national emergency polio | 0.561211 |
| moderate-to-high risk countries | 0.704527 |
| country risk profiles | 0.561655 |
| services puts countries | 0.563227 |
| cases | 0.700872 |
| World Health Organization | 0.614658 |
| polio cases | 0.590735 |
| surveillance indicators | 0.560624 |
| countries | 0.998046 |
| recent WPV cases | 0.57171 |
| acute flaccid paralysis | 0.629561 |
| nationwide polio SIAs | 0.587157 |
| polio vaccination dose | 0.564551 |
| additional WPV spread | 0.556316 |
| AFP surveillance | 0.716559 |
| importation-associated outbreaks | 0.58038 |
| childhood immunity indicators | 0.635609 |
| multicountry outbreaks | 0.616923 |
| WPV outbreaks | 0.686529 |
| risk | 0.851288 |
| outbreaks | 0.832279 |
| childhood immunity risk | 0.596294 |
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| 4850 |
Centers for Disease Control and Prevention |
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Conjunctivitis: Prevention |
Prevent or reduce the risk of spreading or getting conjunctivitis by following some simple good hygiene steps. |
| Haemophilus influenzae type | 0.489173 |
| hand towels | 0.401294 |
| alcohol-based hand sanitizer | 0.693485 |
| warm water | 0.700892 |
| person’s eye | 0.412941 |
| tips | 0.364163 |
| detergent | 0.34545 |
| non-infected eyes | 0.419762 |
| bed linens | 0.400672 |
| hot water | 0.478286 |
| pink eye | 0.431867 |
| contact lenses | 0.917064 |
| Clean extended wear | 0.506209 |
| eye drops | 0.673085 |
| unwashed hands | 0.467954 |
| ointment | 0.356145 |
| proper handwashing | 0.510314 |
| washcloths | 0.385441 |
| eye | 0.693362 |
| bacterial diseases | 0.396838 |
| eye doctor | 0.495969 |
| contact lens storage | 0.647505 |
| pillows | 0.339036 |
| face makeup | 0.49399 |
| items | 0.40365 |
|
| personal items | 0.401624 |
| soap | 0.421201 |
| washing machine | 0.399103 |
| Clean eyeglasses | 0.53699 |
| CDC’s Clean | 0.532958 |
| eyes | 0.463917 |
| fresh cotton ball | 0.490253 |
| makeup brushes | 0.502727 |
| wet washcloth | 0.41259 |
| cotton balls | 0.402239 |
| good hygiene | 0.416778 |
| website | 0.341464 |
| disposable contact lenses | 0.502103 |
| lens storage cases | 0.652333 |
| conjunctivitis | 0.608772 |
| bacterial infection | 0.397122 |
| Clean Hands Save | 0.742529 |
| people | 0.344104 |
| infected person | 0.565358 |
| eye drop dispenser/bottle | 0.504499 |
| simple steps | 0.420014 |
| Wash pillowcases | 0.469356 |
| bacterial conjunctivitis | 0.496652 |
| risk | 0.343799 |
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| 8018 |
Centers for Disease Control and Prevention |
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South Africa - GeneXpert's Speedy Diagnosis gets Patients onto TB Treatment Quicker |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| first-line drugs | 0.403138 |
| community health Center | 0.486644 |
| screen people | 0.390668 |
| two-hour drive | 0.404705 |
| Care Association project | 0.465359 |
| huge human investment | 0.463626 |
| effective treatment | 0.403049 |
| extreme weather | 0.405774 |
| nearest laboratory | 0.40101 |
| Disease Control | 0.408031 |
| huge success | 0.388863 |
| GeneXpert machine | 0.390664 |
| community care worker | 0.477524 |
| TB test | 0.682517 |
| CDC TB/HIV Care | 0.532901 |
| test results | 0.386129 |
| South African province | 0.496181 |
| Community Health Centre | 0.501381 |
| cutting-edge diagnostic machine | 0.496769 |
| TB patients | 0.709565 |
| rural setting | 0.407257 |
| community health workers | 0.677183 |
| drug-resistant TB | 0.780867 |
| drug resistance | 0.391569 |
| TB symptoms | 0.644927 |
|
| KZN | 0.360064 |
| entire community | 0.401112 |
| HIV epidemic | 0.397566 |
| TB culture | 0.674321 |
| high levels | 0.486123 |
| opportunistic infections | 0.39891 |
| speedy delivery | 0.390694 |
| rural clinic | 0.409694 |
| pholela community health | 0.626158 |
| long time | 0.396182 |
| TB infection | 0.668857 |
| mountainous terrain | 0.410559 |
| fewer people | 0.38994 |
| sputum sample | 0.487839 |
| TB treatment | 0.643974 |
| Pholela CHC | 0.392646 |
| TB/HIV Care Association | 0.81739 |
| TB cases | 0.66736 |
| PEPFAR | 0.335667 |
| susceptibility results | 0.400463 |
| drug resistant TB | 0.746011 |
| TB | 0.942606 |
| innovative diagnostics | 0.388398 |
| Rapid diagnosis | 0.392144 |
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| 8637 |
Centers for Disease Control and Prevention |
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Inflatable & Plastic Kiddie Pools | Healthy Swimming | Healthy Water |
null |
| diarrheal incidents | 0.545071 |
| diarrheal illness | 0.661157 |
| chlorine dose | 0.544342 |
| larger number | 0.51175 |
| children | 0.564993 |
| contact | 0.423016 |
| recreational water illnesses | 0.645238 |
| plastic pools | 0.964747 |
| vomiting | 0.422121 |
| contaminated recreational water | 0.638396 |
| germs | 0.506371 |
| different families | 0.619153 |
| disinfectant | 0.428015 |
| Sources | 0.421896 |
| Crypto | 0.425008 |
| Small inflatable pools | 0.805599 |
| schools | 0.441862 |
| appropriate disinfection systems | 0.597727 |
| full-sized swimming pools | 0.705941 |
| tap water | 0.620838 |
| Shigella | 0.429226 |
| plastic pool | 0.515129 |
| O157 | 0.42282 |
| United States | 0.520452 |
| feet diameter | 0.528395 |
|
| sun | 0.435934 |
| chlorine bleach | 0.546777 |
| E. coli | 0.530543 |
| small child care | 0.602239 |
| mouths | 0.424177 |
| child care programs | 0.601623 |
| Cryptosporidium | 0.428055 |
| types | 0.441506 |
| child care settings | 0.785288 |
| RWIs | 0.564044 |
| diarrheal illnesses | 0.557069 |
| children’s health | 0.510462 |
| filters | 0.439686 |
| small water play | 0.64692 |
| people | 0.421423 |
| spread | 0.443413 |
| H7 | 0.433789 |
| larger numbers | 0.509414 |
| pool water | 0.516465 |
| small pools | 0.707937 |
| cleansing soap shower | 0.595524 |
| household | 0.441906 |
| risk | 0.484773 |
| information | 0.421887 |
|
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| 10897 |
Centers for Disease Control and Prevention |
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Preventing Norovirus Outbreaks | Digital Press Kit | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 11106 |
Centers for Disease Control and Prevention |
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2008 National Report on Biochemical Indicators of Diet and Nutrition - Appendices |
null |
| dietary folate intake | 0.369749 |
| methylmalonic acid concentrations | 0.371648 |
| United States population | 0.389413 |
| Clin Nutr. | 0.501393 |
| Stat Series No. | 0.521106 |
| serum folate | 0.396179 |
| high serum concentrations | 0.380764 |
| serum selenium concentrations | 0.380419 |
| J. Elevated serum | 0.387145 |
| Nutrition Examination Survey | 0.912104 |
| sample size | 0.395355 |
| Pfeiffer CM | 0.466406 |
| Nutrition Examination Surveys | 0.456158 |
| National Center | 0.441676 |
| Expo Anal Environ | 0.392682 |
| Vital Health Stat | 0.565051 |
| SAS Proc Univariate | 0.41478 |
| Dietary intake | 0.393495 |
| various NHANES surveys | 0.369618 |
| National Health | 0.67249 |
| Health Statistics | 0.445417 |
| Wright JD | 0.370703 |
| Gunter EW | 0.725245 |
| Looker AC | 0.446481 |
| Bowman BA | 0.413673 |
|
| Anal Environ Epidemiol. | 0.393871 |
| folate status | 0.373402 |
| serum concentrations | 0.396479 |
| folic acid fortification | 0.402217 |
| serum retinol concentrations | 0.37971 |
| total homocysteine concentrations | 0.461955 |
| United States | 0.69907 |
| serum total homocysteine | 0.41503 |
| folate nutritional status | 0.37048 |
| Advance Data No. | 0.418808 |
| plasma total homocysteine | 0.406979 |
| serum ferritin values | 0.40146 |
| Caudill SP | 0.419263 |
| blood folate | 0.403626 |
| different population surveys | 0.375341 |
| serum methylmalonic acid | 0.386969 |
| States National Health | 0.383928 |
| U.S. population | 0.42432 |
| Clin Chem. | 0.466782 |
| Johnson CL | 0.467782 |
| et al | 0.445004 |
| percent confidence intervals | 0.372249 |
| confidence intervals | 0.382106 |
| serum | 0.422438 |
|
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| 13525 |
Centers for Disease Control and Prevention |
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Other Complications | Contact Lenses | CDC |
CDC - Protect Your Eyes: Healthy and Safe Contact Lens Cleaning and Use. Millions of people use contact lenses every day but lens cleaning practices can lead to eye infections. Hands should be washed before handling contact lenses and contacts should be properly cleaned, disinfected, and stored to ensure eye health and safety. Following your eye doctor’s recommendations and a few simple steps can lead to healthy daily contact lens use. |
| contact lens wearer | 0.781026 |
| Efron N,Morgan PB | 0.662767 |
| Schein O. Epidemiology | 0.670151 |
| clear dome | 0.597685 |
| Chalmers RL | 0.70812 |
| clinical practices | 0.592499 |
| Lancet. | 0.515075 |
| appointment | 0.516278 |
| tips | 0.515499 |
| milder symptoms | 0.609931 |
| lens materials | 0.624073 |
| Keay | 0.595081 |
| Clin Exp Optom. | 0.676806 |
| Kern | 0.515714 |
| Ophthalmology | 0.515693 |
| contact lenses | 0.968776 |
| eye drops | 0.609809 |
| risk factors | 0.674448 |
| Academy | 0.515815 |
| 650-3 | 0.515038 |
| Hill EA | 0.587692 |
| microbial keratitis | 0.788722 |
| contact lens-related inflammation | 0.690914 |
| eye doctor | 0.776453 |
| Long | 0.515295 |
|
| Giles | 0.516182 |
| Raynor MK | 0.593472 |
| Dart JK | 0.589877 |
| eyes | 0.534945 |
| contact lens | 0.791934 |
| Eye Contact Lens. | 0.696338 |
| contact lens wear | 0.715322 |
| morbidity | 0.518795 |
| Bullimore M. Risk | 0.680457 |
| Tullo AB | 0.584173 |
| corneal infiltrative events | 0.667328 |
| vision benefits | 0.608727 |
| corneal infiltrates | 0.607088 |
| care instructions | 0.607029 |
| Bergenske | 0.515281 |
| pair | 0.51605 |
| Rare infections | 0.604476 |
| 20-year perspective | 0.595115 |
| Contact lens-related eye | 0.699759 |
| McNally | 0.518837 |
| Multicenter case-control study | 0.679446 |
| Optom Vis Sci. | 0.834417 |
| D. Contact lenses | 0.770805 |
| contact lens complications | 0.755659 |
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Centers for Disease Control and Prevention |
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How to Protect Yourself |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| condoms | 0.376093 |
| Zika infection | 0.576066 |
| United States | 0.456524 |
| infected mosquitoes | 0.485193 |
| Zika virus | 0.588512 |
| domestic travel | 0.450726 |
| prenatal care visit | 0.547605 |
| Zika | 0.93362 |
| muscle pain | 0.437865 |
| pregnant women | 0.807915 |
| yellow cautionary areas | 0.578507 |
| pregnant woman | 0.511199 |
| birth defect | 0.474212 |
| talk | 0.386409 |
| Routine testing | 0.432044 |
| CDC’s guidance | 0.452146 |
| red eyes | 0.443605 |
| abnormalities | 0.330274 |
| start | 0.358903 |
| joint pain | 0.438764 |
| practice safe sex | 0.572818 |
|
| steps | 0.501513 |
| bites | 0.417453 |
| prenatal care | 0.550117 |
| individual situation | 0.449617 |
| symptoms | 0.434638 |
| doctor | 0.423764 |
| regular prenatal care | 0.549636 |
| rash | 0.332349 |
| vaccine | 0.332439 |
| healthcare provider | 0.595516 |
| Zika virus transmission | 0.582666 |
| additional rounds | 0.443829 |
| risk | 0.397607 |
| information | 0.329618 |
| time | 0.392779 |
| headache | 0.329039 |
| travel | 0.476507 |
| fetal brain defects | 0.614827 |
| entire pregnancy | 0.437003 |
| fetus | 0.381874 |
| special precautions | 0.461052 |
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| 15580 |
Centers for Disease Control and Prevention |
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Legal Preemption and the Prevention of Chronic Conditions |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| public health issues | 0.592629 |
| Massachusetts state regulation | 0.582786 |
| public health reforms | 0.602993 |
| public health interventions | 0.639687 |
| state law | 0.620843 |
| state governments | 0.593839 |
| public health innovations | 0.585732 |
| legal preemption | 0.595859 |
| New York City | 0.641096 |
| preemption scrutiny | 0.59085 |
| nutritional information | 0.62441 |
| state | 0.801526 |
| preemption litigation | 0.592215 |
| local governments | 0.696398 |
| uniform state law | 0.602783 |
| local laws | 0.84509 |
| public health areas | 0.597901 |
| federal law | 0.65245 |
| public health leaders | 0.645332 |
| public health objectives | 0.589217 |
| state laws | 0.611955 |
| law strips state | 0.605605 |
| state legislation | 0.583284 |
| Preemption themes | 0.590941 |
| federal laws | 0.647579 |
|
| legal public health | 0.605501 |
| conflicting state | 0.589868 |
| local labeling laws | 0.601948 |
| public health objective | 0.582554 |
| public health outcomes | 0.591815 |
| public health exercises | 0.590947 |
| public health laws | 0.644109 |
| public health goals | 0.62194 |
| public health | 0.965648 |
| local public sector | 0.611763 |
| public health law | 0.706083 |
| preemption starts | 0.598699 |
| conflicting local laws | 0.650564 |
| state preemption | 0.635276 |
| preemption issues | 0.588211 |
| chronic conditions | 0.750808 |
| local public health | 0.648541 |
| local legal innovations | 0.662059 |
| public health improvements | 0.630214 |
| public health practices | 0.594516 |
| preemption challenge | 0.587396 |
| Arizona State University | 0.639888 |
| meaningful policy proposals | 0.60596 |
| voluntary nutritional claims | 0.622784 |
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