| 6562 |
Centers for Disease Control and Prevention |
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Facts About Folic Acid |
Folic acid is a B vitamin. Our bodies use it to make new cells. Everyone needs folic acid. CDC urges women to take 400 mcg of folic acid every day, starting at least one month before getting pregnant, to help prevent major birth defects of the baby's brain and spine. |
| woman | 0.326461 |
| CDC | 0.315552 |
| micrograms | 0.32611 |
| United States | 0.359843 |
| bodies | 0.313489 |
| skin | 0.312712 |
| body | 0.325942 |
| new cells | 0.495885 |
| mcg | 0.367685 |
| DV | 0.313375 |
| hair | 0.312702 |
| major birth defects | 0.660959 |
| local pharmacy | 0.357876 |
| healthy new cells | 0.408251 |
|
| folic acid | 0.900748 |
| nails | 0.314057 |
| spine | 0.333683 |
| label | 0.321973 |
| baby’s brain | 0.432938 |
| vitamin | 0.315489 |
| discount stores | 0.357205 |
| easy ways | 0.361272 |
| folic acid women | 0.545157 |
| cereal | 0.314255 |
| bifida | 0.31559 |
| daily value | 0.354086 |
| multivitamins | 0.335283 |
|
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Centers for Disease Control and Prevention |
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Women and Heart Disease Prevention |
CDC Women's health information, tips, and research from the Centers for Disease Control and Prevention. |
| Sharp upper body | 0.560367 |
| stomach | 0.418489 |
| dietitian | 0.419111 |
| health provider questions | 0.606667 |
| total cholesterol | 0.558962 |
| Family history | 0.504734 |
| High blood pressure | 0.588145 |
| vomiting | 0.418676 |
| blood pressure | 0.590519 |
| man’s disease | 0.53177 |
| heart muscle | 0.516038 |
| body mass index | 0.579991 |
| weight | 0.433487 |
| checkups | 0.425426 |
| Severe shortness | 0.499494 |
| chances | 0.420371 |
| nutritionist | 0.420051 |
| Diet | 0.418394 |
| heart-healthy eating plan | 0.586317 |
| hot flashes | 0.492508 |
| Excessive alcohol | 0.509111 |
| women | 0.435559 |
| heart health | 0.596631 |
| treatment | 0.429345 |
|
| permanent damage | 0.489768 |
| heart attack | 0.741759 |
| death | 0.419496 |
| United States | 0.689509 |
| screening tests | 0.494146 |
| High blood cholesterol | 0.650227 |
| Heart Disease Prevention | 0.651681 |
| cholesterol numbers | 0.559108 |
| good news | 0.490872 |
| HDL | 0.4208 |
| Unusually heavy pressure | 0.569843 |
| Cold sweats | 0.49493 |
| LDL | 0.424776 |
| fats | 0.420031 |
| heart disease | 0.928233 |
| men | 0.419326 |
| blood sugar level | 0.577226 |
| Unfamiliar dizziness | 0.50589 |
| BMI | 0.421197 |
| chance | 0.437729 |
| Physical inactivity | 0.513233 |
| triglycerides | 0.426117 |
| physical activity | 0.496971 |
| risk | 0.435493 |
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Centers for Disease Control and Prevention |
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Announcements: National Cleft and Craniofacial Awareness andPrevention Month |
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. |
| mmwrq@cdc.gov. | 0.325437 |
| Obstet Gynecol | 0.530062 |
| Human Services | 0.378868 |
| assistive technology | 0.324607 |
| Gilboa SM | 0.445783 |
| National Birth Defects | 0.793941 |
| MMWR HTML versions | 0.38753 |
| U.S. Department | 0.376254 |
| Craniofacial Awareness | 0.462432 |
| cleft lip | 0.54467 |
| health outcomes | 0.315462 |
| craniofacial birth defects | 0.768704 |
| electronic PDF version | 0.389578 |
| Rasmussen SA | 0.535368 |
| Cleft Palate Craniofac | 0.514797 |
| Defects Prevention Network | 0.513725 |
| Canfield MA | 0.419323 |
| risk factors | 0.397073 |
| Warren SM | 0.314564 |
| Additional information | 0.314223 |
| Contact GPO | 0.315681 |
| Honein MA | 0.512277 |
| Defects Prevention Study | 0.496845 |
| original paper copy | 0.382504 |
|
| et al. | 0.417041 |
| common craniofacial birth | 0.513 |
| Craniosynostosis Working Group | 0.459173 |
| health-care service | 0.324855 |
| original MMWR paper | 0.395167 |
| U.S. Government Printing | 0.393623 |
| national birth prevalence | 0.445939 |
| National Cleft | 0.525376 |
| maternal diabetes | 0.344865 |
| Health-care providers | 0.321913 |
| skull sutures | 0.326736 |
| Besser LM | 0.315436 |
| Clin Mol Teratol | 0.409322 |
| U.S. infants | 0.327851 |
| subject line | 0.324833 |
| cleft palate | 0.754228 |
| birth defects | 0.922774 |
| Birth Defects Prevention | 0.681489 |
| environmental tobacco smoke | 0.386405 |
| risk factor | 0.313 |
| craniofacial defects | 0.469745 |
| maternal thyroid disease | 0.437026 |
| et al | 0.498426 |
| oral clefts | 0.403731 |
|
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Centers for Disease Control and Prevention |
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MMWR News Summary: September 8, 2011 |
MMWR News Summary: August 4, 2011 |
| immediate vicinity | 0.437184 |
| prompt treatment | 0.438891 |
| RSV activity | 0.516252 |
| 3-month period | 0.461971 |
| severe influenza | 0.716935 |
| important disease burden | 0.551291 |
| poisonous gas | 0.598769 |
| pregnant women | 0.626416 |
| recent RSV season | 0.621714 |
| intensive care unit | 0.549517 |
| gestational age | 0.438977 |
| state health officials | 0.535066 |
| severe influenza illness | 0.610237 |
| foodborne disease outbreaks | 0.882969 |
| respiratory disease outbreaks | 0.630915 |
| lower birthweight | 0.560223 |
| outbreak data | 0.437356 |
| resultant poisonous gas | 0.586899 |
| food industry professionals | 0.539978 |
| empiric treatment | 0.441442 |
| CDC Division | 0.91681 |
| foodborne illness | 0.594245 |
| Chemical suicides | 0.460644 |
| chemical suicide incidents | 0.550892 |
| Similar suicides | 0.46092 |
|
| emergency responders | 0.450487 |
| appropriate antiviral medications | 0.551298 |
| bath sulfur | 0.446981 |
| household chemicals | 0.43819 |
| United States | 0.554355 |
| RSV circulation | 0.509348 |
| lethal gas | 0.443015 |
| food groups | 0.646465 |
| recommended antiviral medications | 0.559191 |
| RSV trends | 0.502002 |
| percent | 0.458018 |
| Electronic Media | 0.877468 |
| toilet bowl | 0.446477 |
| pregnancy trimester | 0.436018 |
| confirmed influenza | 0.490225 |
| specific food groups | 0.546644 |
| RSV antigen tests | 0.614239 |
| H1N1 influenza | 0.49319 |
| Foodborne illnesses | 0.495291 |
| Enteric Virus Surveillance | 0.515943 |
| pregnant/postpartum women | 0.625726 |
| influenza vaccination | 0.484823 |
| Respiratory syncytial virus | 0.533095 |
| RSV-related hospitalizations | 0.445284 |
|
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Centers for Disease Control and Prevention |
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Epi Info - Videos - CDC |
null |
| Skip pattern | 0.462503 |
| Dot density map | 0.506309 |
| shape file | 0.459587 |
|
| email address | 0.450793 |
| statement | 0.413217 |
| page | 0.412876 |
|
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Science Clips - Friday, August 15, 2014 |
CDC - Stephen B. Thacker Library - Science Clips |
| endorsement | 0.464508 |
| current awareness | 0.506915 |
| findings | 0.372371 |
| focus | 0.340675 |
| MSLS | 0.336322 |
| prevention science | 0.548463 |
| science clips | 0.927864 |
| Gail Bang | 0.530775 |
| Disease Control | 0.507022 |
| CDC Science Clips | 0.921699 |
| Kelli Sibert | 0.526324 |
| Librarian | 0.523871 |
| factual accuracy | 0.514257 |
| e.g | 0.335982 |
| Science Clips Production | 0.720231 |
| conclusions | 0.342148 |
| Connick | 0.354786 |
| MLIS | 0.399884 |
| article | 0.359072 |
| DHHS | 0.567026 |
| DISCLAIMER | 0.35145 |
| items | 0.383412 |
| Vital Signs | 0.535676 |
| Web Developer | 0.512959 |
| Victoria Burchfield | 0.516587 |
|
| MD MPH | 0.55596 |
| capacity | 0.338391 |
| public health community | 0.76296 |
| Staff John Iskander | 0.736365 |
| inclusion | 0.33805 |
| scientific knowledge | 0.550996 |
| Tuesday | 0.337379 |
| omission | 0.353448 |
| public health | 0.964894 |
| views | 0.360543 |
| Thomas | 0.336924 |
| Jane Gidudu | 0.517231 |
| informational purposes | 0.495437 |
| public health literature | 0.685348 |
| Key topic | 0.529385 |
| B. Thacker CDC | 0.929063 |
| original authors | 0.508952 |
| opinion | 0.364179 |
| non-CDC Websites | 0.504181 |
| CDC products | 0.77467 |
| news sources | 0.504512 |
| Editor | 0.372322 |
| articles | 0.372477 |
| experts | 0.338565 |
|
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Centers for Disease Control and Prevention |
Html |
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Assess Needs and Resources - Tools for Successful CHIEfforts - Chi Nav - CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| IRS Final Rule | 0.697976 |
| community’s health. | 0.529817 |
| Health Needs Assessments | 0.825588 |
| health equity | 0.544977 |
| likely health disparities | 0.640995 |
| health outcomes | 0.543991 |
| resources increases efficiency | 0.588541 |
| Main Section | 0.579544 |
| community asset mapping | 0.623322 |
| health behaviors | 0.543223 |
| health care access | 0.636174 |
| census tract level | 0.56783 |
| Assess Needs | 0.512491 |
| larger CHI process | 0.549955 |
| Excise Tax Return | 0.539402 |
| health profiles | 0.546584 |
| community engagement | 0.600902 |
| particular specialty area | 0.561509 |
| harness community assets | 0.612392 |
| chi efforts | 0.564849 |
| Frederick County Health | 0.718308 |
| Community Health Needs | 0.845017 |
| financial assistance policy. | 0.554368 |
| principal functions | 0.548381 |
| low educational attainment | 0.571084 |
|
| quality health care | 0.616126 |
| Charitable Hospitals | 0.676578 |
| data visualization tool | 0.575829 |
| County Health Care | 0.72603 |
| Internal Revenue Service | 0.557537 |
| key concepts | 0.677639 |
| target patient population | 0.54602 |
| local health improvement | 0.592379 |
| health needs. | 0.536506 |
| health care | 0.755855 |
| specific geographic area | 0.567074 |
| CHI Efforts section | 0.559205 |
| community needs | 0.57214 |
| CHI Navigator | 0.541782 |
| significant health needs | 0.627862 |
| inform initial thoughts | 0.571966 |
| hospital facility | 0.946876 |
| community health assessment | 0.656305 |
| health planning tool | 0.63001 |
| health officer | 0.524708 |
| free registration | 0.586625 |
| contact Coalition member | 0.573021 |
| Health Care Coalition | 0.74454 |
| Tools tabs | 0.57259 |
|
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Centers for Disease Control and Prevention |
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Estimated Influenza Illnesses and Hospitalizations Averted by Vaccination |
Estimated Influenza Illnesses and Hospitalizations Averted by Vaccination - CDC |
| potential influenza-associated hospitalizations | 0.402976 |
| influenza burden | 0.421247 |
| influenza vaccination coverage | 0.802184 |
| Risk Factor Surveillance | 0.357511 |
| lowest influenza vaccination | 0.517217 |
| substantial influenza disease | 0.435859 |
| 2014-15 influenza vaccine | 0.501048 |
| relatively high burden | 0.313227 |
| vaccine effectiveness values | 0.319138 |
| vaccination status | 0.328324 |
| influenza vaccine | 0.529809 |
| influenza activity | 0.499373 |
| flu hospitalizations | 0.442757 |
| predominant circulating influenza | 0.472443 |
| end-of-season vaccine effectiveness | 0.322763 |
| vaccine effectiveness | 0.648103 |
| influenza virus circulation | 0.42871 |
| improved vaccine coverage | 0.322646 |
| medical visits | 0.414994 |
| persons | 0.371752 |
| annual influenza vaccination | 0.576705 |
| influenza prevention | 0.395496 |
| influenza disease burden | 0.443566 |
| Behavioral Risk Factor | 0.36071 |
|
| influenza illnesses | 0.448093 |
| vaccine effectiveness studies | 0.325506 |
| influenza vaccination recommendation | 0.528889 |
| Influenza vaccine coverage | 0.485902 |
| United States | 0.409406 |
| respiratory illness | 0.327004 |
| age group | 0.629651 |
| averted disease burden | 0.355004 |
| Influenza Vaccine Effectiveness | 0.469804 |
| 2014-15 season | 0.303024 |
| low vaccination coverage | 0.384806 |
| flu-associated hospitalizations | 0.373573 |
| influenza disease | 0.494705 |
| Factor Surveillance Survey | 0.357073 |
| influenza hospitalizations rates | 0.579019 |
| universal influenza vaccination | 0.535257 |
| influenza season | 0.482946 |
| chain reaction–positive influenza | 0.427931 |
| influenza vaccination | 0.981944 |
| influenza testing | 0.390195 |
| influenza viruses | 0.419216 |
| vaccination records | 0.334942 |
| influenza deaths | 0.408561 |
| influenza-associated hospitalizations | 0.54555 |
|
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Centers for Disease Control and Prevention |
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Effectiveness of Health Impact Assessments: A Synthesis ofData From Five Impact Evaluation Reports |
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. |
| HIA evaluation studies | 0.622807 |
| HIA timing | 0.582633 |
| health impact assessment | 0.816451 |
| HIA expertise | 0.579866 |
| international HIA websites | 0.611645 |
| health issues | 0.526817 |
| HIA success factors | 0.614116 |
| HIA core value | 0.602002 |
| Environ Impact Assess | 0.501381 |
| unfavorable HIA recommendations | 0.602266 |
| HIA impacts | 0.726962 |
| specific HIA recommendation | 0.59191 |
| HIA impact fit | 0.628849 |
| potential HIA impacts | 0.630431 |
| decision makers | 0.672229 |
| HIA practitioners | 0.671319 |
| successful HIA | 0.588548 |
| HIAs | 0.713732 |
| HIA evaluations | 0.626273 |
| HIA implementation | 0.582254 |
| impact evaluation reports | 0.533658 |
| Impact Assess Rev | 0.499289 |
| environmental impact assessment | 0.488285 |
| HIA success | 0.674131 |
|
| multistudy HIA impact | 0.636734 |
| direct impacts | 0.496782 |
| HIA team | 0.609793 |
| recent HIA textbooks | 0.610799 |
| United States | 0.593834 |
| HIA outcome evaluations | 0.61745 |
| HIA credibility | 0.611658 |
| Epidemiol Community Health | 0.496749 |
| individual HIAs | 0.52248 |
| potential health impacts | 0.512041 |
| individual HIA evaluations | 0.621891 |
| HIA effectiveness | 0.584379 |
| single HIA | 0.589084 |
| HIA evaluation reports | 0.639209 |
| public health | 0.545007 |
| HIA | 0.94032 |
| HIA practice | 0.617508 |
| multiple HIA impact | 0.618333 |
| HIA investigators | 0.602606 |
| individual HIA impact | 0.673991 |
| HIA colleagues | 0.594184 |
| HIA impact evaluation | 0.646925 |
| HIA impact evaluations | 0.804541 |
| HIA reports | 0.643851 |
|
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| active infection | 0.77826 |
| CDC | 0.733653 |
| Human Services | 0.747367 |
| U.S. Refugee Resettlement | 0.827487 |
| U.S. Department | 0.745715 |
| highly prevalent condition | 0.757015 |
| electronic PDF version | 0.755553 |
| challenging clinical entity | 0.751183 |
| positive malaria antigen | 0.922173 |
| refugee populations | 0.730399 |
| malaria polymerase chain | 0.877993 |
| malaria medications | 0.804015 |
| Migrant Health Branch | 0.871769 |
| urine specimens | 0.710661 |
| patients | 0.731812 |
| Health Organization ultrasonography | 0.814018 |
| Schistosoma mansoni ova | 0.81494 |
| rapid diagnostic test | 0.756273 |
| definitive underlying etiology | 0.770261 |
| western Uganda | 0.710417 |
| normal liver architecture | 0.766401 |
| malaria infections | 0.807102 |
| IOM predeparture examinations | 0.781375 |
| hepatitis B antigen | 0.720887 |
| potential infectious agents | 0.762051 |
|
| United States | 0.957721 |
| original MMWR paper | 0.760444 |
| Plasmodium falciparum merozoite | 0.787409 |
| rapid diagnostic testing | 0.785975 |
| detectable hepatitis | 0.713072 |
| Schistosoma ova | 0.730621 |
| Congolese refugees | 0.948325 |
| CDC recommendations | 0.731159 |
| blood-stage malaria infection | 0.886799 |
| Enzyme-linked immunosorbent assay | 0.769353 |
| blood smear tests | 0.774802 |
| thick/thin blood smears | 0.761663 |
| untreated malaria | 0.80868 |
| 8Parasitic Diseases Branch | 0.763825 |
| Global Migration | 0.746546 |
| U.S.-bound Congolese refugees | 0.89631 |
| normal glucose-6-dehydrogenase levels | 0.756056 |
| abdominal ultrasonography | 0.817294 |
| surface antigen | 0.710841 |
| stool wet preparation | 0.76775 |
| refugee medical examinations | 0.821101 |
| malaria-associated splenomegaly | 0.778311 |
| repeat malaria testing | 0.893253 |
| subsequent malaria exposure | 0.8782 |
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