| 7213 |
Centers for Disease Control and Prevention |
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Babesiosis Surveillance - 18 States, 2011 |
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. |
| County-level incidence rates | 0.40424 |
| red blood cells | 0.350215 |
| blood donors | 0.455716 |
| CDC | 0.379605 |
| supplemental data | 0.417693 |
| Babesia parasites | 0.417625 |
| symptom onset | 0.571497 |
| Babesia microti–endemic states | 0.446754 |
| genus Babesia | 0.376904 |
| transfusion-associated cases | 0.368611 |
| public health authorities | 0.498772 |
| Babesia duncani IFA | 0.386371 |
| probable cases | 0.508515 |
| Babesia microti DNA | 0.387448 |
| clinically manifest cases | 0.348852 |
| treatable tickborne disease | 0.342106 |
| median age | 0.36743 |
| patients | 0.456664 |
| severe cases | 0.354007 |
| human babesiosis | 0.513699 |
| tickborne disease | 0.34526 |
| persons | 0.371263 |
| babesiosis surveillance | 0.558392 |
| Babesia infection | 0.621426 |
| Elizabeth A. Bosserman | 0.386089 |
|
| clinical manifestations | 0.385715 |
| reported cases | 0.385609 |
| standard case definition | 0.691593 |
| transfusion-associated babesiosis | 0.46717 |
| babesiosis CRF | 0.493896 |
| national babesiosis surveillance | 0.528689 |
| reportable condition | 0.34472 |
| Babesia species | 0.359346 |
| Babesia spp. | 0.343576 |
| health departments | 0.425322 |
| intraerythrocytic Babesia organisms | 0.385226 |
| polymerase chain reaction | 0.403672 |
| Babesia laboratory data | 0.441714 |
| New York | 0.369902 |
| blood transfusion | 0.358182 |
| B. microti–endemic states | 0.426767 |
| cases | 0.772537 |
| babesiosis | 0.910398 |
| standard data collection | 0.348326 |
| symptom onset dates | 0.54017 |
| evidence-based prevention | 0.435156 |
| control measures | 0.432429 |
| Babesia microti immunoblot | 0.389178 |
| Ongoing national surveillance | 0.480742 |
|
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| 8222 |
Centers for Disease Control and Prevention |
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Spina Bifida, Facts - NCBDDD - CDC |
Spina bifida is a condition that affects the spine and is usually apparent at birth. It is a type of neural tube defect (NTD). |
| spina bifida | 0.978795 |
| early pregnancy | 0.337138 |
| Treatments page | 0.319416 |
| productive lives | 0.31951 |
| neural tube | 0.383499 |
| neural tube defects | 0.334933 |
| type | 0.346163 |
| small sample | 0.320023 |
| common types | 0.322824 |
| small gap | 0.320521 |
| triple screen | 0.320605 |
| AFP – AFP | 0.334162 |
| pregnancy | 0.346789 |
| image scan | 0.32002 |
| spina bifida lead | 0.452469 |
| clear pictures | 0.319741 |
| myelomeningocele | 0.319136 |
| severe disabilities | 0.320549 |
| prenatal tests | 0.319862 |
| average levels | 0.32024 |
| simple blood test | 0.337753 |
| unborn baby | 0.324057 |
| high level | 0.342209 |
| minor disabilities | 0.320304 |
| late childhood | 0.338333 |
|
| United States | 0.320137 |
| hot tub | 0.319445 |
| AFP | 0.334632 |
| amniotic fluid | 0.319849 |
| neural tube defect | 0.341209 |
| intellectual disabilities | 0.323088 |
| sac | 0.327185 |
| store brand acetaminophen | 0.335624 |
| AFP test | 0.326721 |
| spinal cord | 0.412506 |
| folic acid | 0.38822 |
| nerve damage | 0.320852 |
| medical condition―such | 0.3197 |
| folic acid daily | 0.33939 |
| hairy patch | 0.319843 |
| spine | 0.325036 |
| prenatal testing | 0.320584 |
| people | 0.33755 |
| birth defects | 0.319629 |
| doctor | 0.327958 |
| healthy pregnancy | 0.319636 |
| spina bifida occulta | 0.584647 |
| baby | 0.393615 |
| mildest type | 0.322728 |
|
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Centers for Disease Control and Prevention |
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Asthma - BRFSS 2008 - Child Asthma Data - Table L2.1 |
BRFSS 2008 - Child Asthma Data - Table L2.1 |
| HI | 0.409747 |
| Puerto Rico | 0.66204 |
| TX | 0.398701 |
| data | 0.391134 |
| NV | 0.399015 |
| CI denotes confidence | 0.930783 |
| NY | 0.402891 |
| Total ** | 0.736875 |
| states | 0.391073 |
| 22.4 | 0.412232 |
| WI | 0.391698 |
| 22.2 | 0.538228 |
| MD | 0.409642 |
| small sample size | 0.898347 |
| GA | 0.409007 |
| sample size | 0.96767 |
| CA | 0.423411 |
| binomial distribution | 0.669427 |
| WV | 0.393742 |
| MO | 0.401763 |
| WY | 0.395904 |
| IL | 0.406646 |
|
| MS | 0.40778 |
| normal approximation | 0.662327 |
| MT | 0.400283 |
| KS | 0.405825 |
| standard error | 0.665418 |
| Territories | 0.391729 |
| KY | 0.406446 |
| 10.6 | 0.518212 |
| 14.1 | 0.502016 |
| CT | 0.413991 |
| PA | 0.397892 |
| Columbia | 0.390971 |
| NE | 0.402983 |
| AZ | 0.416147 |
| confidence interval | 0.977792 |
| NH | 0.400805 |
| NJ | 0.395894 |
| 14.5 | 0.409135 |
| District | 0.391012 |
| VT | 0.395333 |
| DC | 0.42206 |
|
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| 10276 |
Centers for Disease Control and Prevention |
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Rodent Control'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 |
| Cans Swollen | 0.536185 |
| 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 |
| Older Adults | 0.512552 |
| 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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Centers for Disease Control and Prevention |
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Secondary Analysis Reports'Research' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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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Centers for Disease Control and Prevention |
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MMWR News Synopsis for April 09, 2015 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| supplementary immunization activities | 0.500477 |
| infected travelers | 0.464195 |
| measles elimination | 0.508477 |
| necessary follow-up services | 0.50227 |
| U.S. children | 0.470154 |
| Rotavirus infection | 0.528469 |
| national decline | 0.460614 |
| disease activity | 0.464203 |
| current asthma cases | 0.539719 |
| rotavirus seasons | 0.518437 |
| young children | 0.51485 |
| routine rotavirus vaccination | 0.694346 |
| current asthma | 0.540643 |
| large measles outbreaks | 0.520087 |
| health professionals | 0.463748 |
| infants | 0.463157 |
| small-scale outbreak response | 0.49794 |
| specific geographical areas | 0.496525 |
| economic outcomes | 0.459267 |
| early intervention services | 0.518578 |
| National Respiratory | 0.46053 |
| older age groups | 0.495385 |
| Early Hearing Detection | 0.584145 |
| unidentified hearing loss | 0.51622 |
| CDC Media Relations | 0.902003 |
|
| hearing loss | 0.590933 |
| large public health | 0.526722 |
| severe gastroenteritis | 0.465878 |
| Ebola virus disease | 0.506311 |
| sustained decline | 0.472504 |
| United States | 0.465927 |
| rotavirus vaccine | 0.531347 |
| Intervention surveillance data | 0.51249 |
| nationwide follow-up SIAs | 0.504798 |
| work-related asthma | 0.596499 |
| rotavirus circulation | 0.528516 |
| measles cases | 0.473136 |
| adverse health | 0.465254 |
| occupational lung disease | 0.508797 |
| state-specific proportions | 0.461346 |
| disease surveillance systems | 0.508738 |
| lower peak activity | 0.507237 |
| early intervention | 0.552302 |
| permanent hearing loss | 0.51442 |
| Enteric Virus Surveillance | 0.512432 |
| health burden | 0.473877 |
| cellular telephone samples | 0.507401 |
| childhood vaccination schedule | 0.521087 |
| rotavirus activity | 0.522403 |
|
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| 13396 |
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Outbreaks of Illness Associated with Recreational Water -United States, 2011-2012 |
Michele C. Hlavsa, MPH1; Virginia A. Roberts, MSPH1; Amy M. |
| Timothy J. Wade | 0.272505 |
| outbreak vehicle | 0.271031 |
| Puerto Rico | 0.273705 |
| CDC | 0.273398 |
| recreational water–associated outbreak | 0.391764 |
| small outbreak size | 0.289057 |
| Outbreak Surveillance | 0.275156 |
| Acute gastrointestinal illness | 0.272093 |
| gastrointestinal illness | 0.298149 |
| infectious pathogens | 0.392834 |
| summer outbreaks | 0.40926 |
| recreational water–associated chemicals | 0.315264 |
| Elizabeth D. Hilborn | 0.274346 |
| Cryptosporidium oocysts | 0.271963 |
| Cryptosporidium species | 0.271895 |
| Virginia A. Roberts | 0.274047 |
| Michael J. Beach | 0.276137 |
| waterborne disease | 0.304614 |
| Michele C. Hlavsa | 0.336676 |
| public health threats | 0.269429 |
| Zoonotic Infectious Diseases | 0.31403 |
| illness onset date | 0.276921 |
| cryptosporidiosis outbreaks | 0.417119 |
| E. coli | 0.347935 |
|
| untreated recreational water | 0.371196 |
| Taryn R. Mecher | 0.276516 |
| State waterborne disease | 0.274709 |
| Cryptosporidium | 0.349715 |
| cases | 0.275709 |
| negative binomial regression | 0.406244 |
| ) data. | 0.287453 |
| recreational water–associated illness | 0.322586 |
| molecular typing | 0.295629 |
| public health officials | 0.411099 |
| waterborne outbreaks | 0.445559 |
| National Outbreak Reporting | 0.319111 |
| Jonathan S. Yoder | 0.273521 |
| Model Aquatic Health | 0.273405 |
| recreational water–associated outbreaks | 0.947243 |
| cyanobacterial toxins | 0.271728 |
| environmental health data | 0.282616 |
| Freely Associated States* | 0.276977 |
| Amy M. Kahler | 0.275092 |
| recreational water venues | 0.392 |
| infectious disease epidemiologists | 0.272187 |
| recreational water-associated outbreaks | 0.448408 |
| median number | 0.273465 |
|
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Centers for Disease Control and Prevention |
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Vital Signs: Increased Medicaid Prescriptions forPreexposure Prophylaxis Against HIV infection - New York,2012-2015 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| NYSDOH Medicaid data | 0.316008 |
| black recipients | 0.277841 |
| York State Department | 0.42827 |
| Medicaid Policy | 0.276012 |
| potential prescribers | 0.274859 |
| New York City | 0.338467 |
| number | 0.306121 |
| HIV infections | 0.318433 |
| task force | 0.28838 |
| state health departments | 0.292944 |
| York state Medicaid | 0.368556 |
| AIDS Institute | 0.35399 |
| Medicaid program | 0.355746 |
| HIV-negative Medicaid recipients | 0.469945 |
| Franklin N. Laufer | 0.323056 |
| integrated PrEP | 0.384318 |
| Preexposure Prophylaxis | 0.27668 |
| 3-year period | 0.28759 |
| postexposure prophylaxis | 0.279542 |
| new york state | 0.941886 |
| persons | 0.324681 |
| PrEP prescribers | 0.383637 |
| human immunodeficiency virus | 0.327865 |
| Medicaid recipients | 0.696695 |
|
| high-risk HIV-negative Medicaid | 0.319099 |
| HIV care settings | 0.296437 |
| Prevent HIV Transmission | 0.288092 |
| PrEP toolkit | 0.379268 |
| Daily HIV preexposure | 0.305604 |
| health department efforts | 0.279164 |
| state Medicaid agency | 0.340302 |
| Medicaid Prescriptions | 0.313015 |
| immunodeficiency syndrome | 0.273002 |
| Public Health Practice | 0.273294 |
| HIV prevention strategy | 0.294907 |
| PrEP coverage | 0.368816 |
| AIDS Epidemic initiative | 0.435086 |
| PrEP regimen | 0.36461 |
| PrEP strategic plan | 0.398364 |
| Medicaid fee-for-service claims | 0.307759 |
| PrEP | 0.869176 |
| Medicaid data warehouse | 0.345231 |
| comprehensive health care | 0.273803 |
| PrEP provider FAQ | 0.406 |
| York City Department | 0.277756 |
| HIV prevention interventions | 0.285504 |
| potential users | 0.331162 |
| high-risk HIV-negative persons | 0.282225 |
|
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| 14153 |
Centers for Disease Control and Prevention |
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Dyslipidemia and Food Security in Low-Income US Adolescents: National Health and Nutrition Examination Survey, 2003-2010 |
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. |
| abnormal adult dyslipidemia | 0.388009 |
| low HDL-C | 0.437394 |
| marginally food | 0.388843 |
| later dyslipidemia | 0.371529 |
| food security status | 0.621158 |
| TG/HDL-C ratio | 0.43367 |
| 18-item Core Food | 0.375423 |
| high-density lipoprotein cholesterol | 0.414354 |
| food insecurity | 0.676287 |
| Nutrition Examination Survey | 0.486573 |
| respective dyslipidemia outcomes | 0.382408 |
| food insecurity status | 0.398863 |
| marginal food security | 0.840744 |
| categorical food security | 0.396167 |
| low food security | 0.753074 |
| adolescents | 0.461648 |
| cardiovascular disease risk | 0.413847 |
| lower food security | 0.404887 |
| maternal education | 0.381966 |
| pediatric dyslipidemia classifications | 0.373695 |
| National Health | 0.413253 |
| food secure households | 0.445192 |
| food security data | 0.418112 |
| dyslipidemia measures | 0.377455 |
|
| household food insecurity | 0.420856 |
| dyslipidemia | 0.498239 |
| food insecure men | 0.379398 |
| marginally food-secure adolescents | 0.380825 |
| elevated TG/HDL-C ratio | 0.385554 |
| federal poverty level | 0.387853 |
| marginal household food | 0.398383 |
| low-density lipoprotein cholesterol | 0.448332 |
| household food security | 0.642047 |
| food security categories | 0.409148 |
| S. Household food | 0.375061 |
| affirmative answers | 0.471265 |
| severe food insecurity | 0.403421 |
| atherogenic dyslipidemia | 0.444981 |
| female adolescents | 0.389277 |
| cardiovascular disease | 0.43727 |
| Core Food Security | 0.4309 |
| low-income adolescents | 0.393343 |
| waist-to-height ratio | 0.545291 |
| A. Food insecurity | 0.390994 |
| Food Security Module | 0.429136 |
| high food security | 0.462112 |
| food security | 0.998969 |
| et al | 0.396755 |
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Centers for Disease Control and Prevention |
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Progress Toward Poliomyelitis Eradication - Pakistan,January 2015-September 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| high-risk areas | 0.487945 |
| supplementary immunization activities | 0.433829 |
| environmental surveillance | 0.734954 |
| polio eradication | 0.47638 |
| independent WPV1 transmission | 0.451812 |
| WPV1 response efforts | 0.438043 |
| oral poliovirus vaccine | 0.695786 |
| endemic wild poliovirus | 0.425815 |
| routine vaccination coverage | 0.501735 |
| FATA | 0.46965 |
| injectable inactivated polio | 0.426947 |
| wild poliovirus type | 0.532035 |
| AFP cases | 0.580743 |
| SIAs | 0.488866 |
| United Nations Children | 0.427447 |
| adequate stool specimens§ | 0.424321 |
| Pakistan | 0.608088 |
| children | 0.523425 |
| immunization activities | 0.435307 |
| WPV1-positive environmental surveillance | 0.434322 |
| national immunization campaign | 0.442456 |
| Balochistan | 0.425539 |
| nonpolio AFP cases | 0.511097 |
| WPV1 cases | 0.915366 |
|
| public health | 0.468963 |
| WPV1 patients | 0.427583 |
| routine immunization services | 0.660717 |
| supplemental immunization activities | 0.429953 |
| period | 0.441114 |
| World Health Organization | 0.61721 |
| South Waziristan | 0.443414 |
| environmental samples | 0.486442 |
| fewer WPV1 lineages | 0.436661 |
| type 2-containing OPV | 0.484673 |
| KP | 0.454469 |
| polio cases | 0.439161 |
| AFP surveillance quality | 0.463521 |
| newly confirmed WPV1 | 0.432281 |
| Emergency Operations Center | 0.491733 |
| acute flaccid paralysis | 0.697791 |
| public health practice | 0.431895 |
| AFP surveillance | 0.718798 |
| stool specimen timeliness | 0.602422 |
| adequate stool | 0.511034 |
| vaccine-derived poliovirus | 0.429116 |
| national routine vaccination | 0.439913 |
| environmental surveillance samples | 0.518952 |
|
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