Saswati Sunderam, Dmitry M Kissin, Yujia Zhang, Amy Jewett, Sheree L Boulet, Lee Warner, Charlan D Kroelinger, Wanda D Barfield
{"title":"Assisted Reproductive Technology Surveillance - United States, 2018.","authors":"Saswati Sunderam, Dmitry M Kissin, Yujia Zhang, Amy Jewett, Sheree L Boulet, Lee Warner, Charlan D Kroelinger, Wanda D Barfield","doi":"10.15585/mmwr.ss7104a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7104a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Since the first U.S. infant conceived with assisted reproductive technology (ART) was born in 1981, both the use of ART and the number of fertility clinics providing ART services have increased steadily in the United States. ART includes fertility treatments in which eggs or embryos are handled in the laboratory (i.e., in vitro fertilization [IVF] and related procedures). Although the majority of infants conceived through ART are singletons, women who undergo ART procedures are more likely than women who conceive naturally to have multiple births because multiple embryos might be transferred. Multiple births can pose substantial risks for both mothers and infants, including obstetric complications, preterm birth (<37 weeks), and low birthweight (<2,500 g). This report provides state-specific information for the United States (including the District of Columbia and Puerto Rico) on ART procedures performed in 2018 and compares birth outcomes that occurred in 2018 (resulting from ART procedures performed in 2017 and 2018) with outcomes for all infants born in the United States in 2018.</p><p><strong>Period covered: </strong>2018.</p><p><strong>Description of system: </strong>In 1995, CDC began collecting data on ART procedures performed in fertility clinics in the United States as mandated by the Fertility Clinic Success Rate and Certification Act of 1992 (Public Law 102-493 [October 24, 1992]). Data are collected through the National ART Surveillance System (NASS), a web-based data collection system developed by CDC. This report includes data from the 50 U.S. states, the District of Columbia, and Puerto Rico.</p><p><strong>Results: </strong>In 2018, a total of 203,119 ART procedures (range: 196 in Alaska to 26,028 in California) were performed in 456 U.S. fertility clinics and reported to CDC. These procedures resulted in 73,831 live-birth deliveries (range: 76 in Puerto Rico and Wyoming to 9,666 in California) and 81,478 infants born (range: 84 in Wyoming to 10,620 in California). Nationally, among women aged 15-44 years, the rate of ART procedures performed was 3,135 per 1 million women. ART use exceeded 1.5 times the national rate in seven states (Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York, and Rhode Island) and the District of Columbia. ART use rates exceeded the national rate in an additional seven states (California, Delaware, Hawaii, New Hampshire, Utah, Vermont, and Virginia). Nationally, among all ART transfer procedures, the average number of embryos transferred was similar across age groups (1.3 among women aged <35 years, 1.3 among women aged 35-37 years, and 1.4 among women aged >37 years). The national single-embryo transfer (SET) rate among all embryo-transfer procedures was 74.1% among women aged <35 years (range: 28.2% in Puerto Rico to 89.5% in Delaware), 72.8% among women aged 35-37 years (range: 30.6% in Puerto Rico to 93.7% in Delaware), and 66.4% among women aged","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"71 4","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865855/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39932563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kameron J Sheats, Rebecca F Wilson, Bridget H Lyons, Shane P D Jack, Carter J Betz, Katherine A Fowler
{"title":"Surveillance for Violent Deaths - National Violent Death Reporting System, 39 States, the District of Columbia, and Puerto Rico, 2018.","authors":"Kameron J Sheats, Rebecca F Wilson, Bridget H Lyons, Shane P D Jack, Carter J Betz, Katherine A Fowler","doi":"10.15585/mmwr.ss7103a1","DOIUrl":"10.15585/mmwr.ss7103a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>In 2018, approximately 68,000 persons died of violence-related injuries in the United States. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on violent deaths that occurred in 39 states the District of Columbia, and Puerto Rico in 2018. Results are reported by sex, age group, race and ethnicity, method of injury, type of location where the injury occurred, circumstances of injury, and other selected characteristics.</p><p><strong>Period covered: </strong>2018.</p><p><strong>Description of system: </strong>NVDRS collects data regarding violent deaths obtained from death certificates, coroner and medical examiner reports, and law enforcement reports. This report includes data collected for violent deaths that occurred in 2018. Data were collected from 36 states with statewide data (Alabama, Alaska, Arizona, Colorado, Connecticut, Delaware, Georgia, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Rhode Island, South Carolina, Utah, Vermont, Virginia, Washington, West Virginia, and Wisconsin), three states with data from counties representing a subset of their population (21 California counties, 28 Illinois counties, and 39 Pennsylvania counties), the District of Columbia, and Puerto Rico. NVDRS collates information for each death and links deaths that are related (e.g., multiple homicides, homicide followed by suicide, or multiple suicides) into a single incident.</p><p><strong>Results: </strong>For 2018, NVDRS collected information on 52,773 fatal incidents involving 54,170 deaths that occurred in 39 states and the District of Columbia. In addition, information was collected on 880 fatal incidents involving 975 deaths in Puerto Rico. Data for Puerto Rico were analyzed separately. Of the 54,170 deaths, the majority (64.1%) were suicides, followed by homicides (24.8%), deaths of undetermined intent (9.0%), legal intervention deaths (1.4%) (i.e., deaths caused by law enforcement and other persons with legal authority to use deadly force acting in the line of duty, excluding legal executions), and unintentional firearm deaths (<1.0%). (The term \"legal intervention\" is a classification incorporated into the International Classification of Diseases, Tenth Revision, and does not denote the lawfulness or legality of the circumstances surrounding a death caused by law enforcement.) Demographic patterns and circumstances varied by manner of death. The suicide rate was higher among males than among females and was highest among adults aged 35-64 years and non-Hispanic American Indian or Alaska Native (AI/AN) and non-Hispanic White persons. The most common method of injury for suicide was a firearm among males and hanging, strangulation, or suffocation among females. Suicide was most often preceded by a mental health, i","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"71 3","pages":"1-44"},"PeriodicalIF":37.3,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807052/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39740993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christina R Phares, Yecai Liu, Zanju Wang, Drew L Posey, Deborah Lee, Emily S Jentes, Michelle Weinberg, Tarissa Mitchell, William Stauffer, Julie L Self, Nina Marano
{"title":"Disease Surveillance Among U.S.-Bound Immigrants and Refugees - Electronic Disease Notification System, United States, 2014-2019.","authors":"Christina R Phares, Yecai Liu, Zanju Wang, Drew L Posey, Deborah Lee, Emily S Jentes, Michelle Weinberg, Tarissa Mitchell, William Stauffer, Julie L Self, Nina Marano","doi":"10.15585/mmwr.ss7102a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7102a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Each year, approximately 500,000 immigrants and tens of thousands of refugees (range: 12,000-85,000 during 2001-2020) move to the United States. While still abroad, immigrants, refugees, and others who apply for admission to live permanently in the United States must undergo a medical examination. This examination identifies persons with class A or B conditions. Applicants with class A conditions are inadmissible. Infectious conditions that cause an applicant to be inadmissible include infectious tuberculosis (TB) disease (class A TB), infectious syphilis, gonorrhea, and infectious Hansen's disease. Applicants with class B conditions are admissible but might require treatment or follow-up. Class B TB includes persons who completed successful treatment overseas for TB disease (class B0), those with signs or symptoms suggestive of TB but whose overseas laboratory tests and clinical examinations ruled out current infectious TB disease (class B1), those with a diagnosis of latent TB infection (LTBI) (class B2), and the close contacts of persons known to have TB disease (class B3). Voluntary public health interventions might also be offered during the overseas examination. After arriving in the United States, a follow-up TB examination is recommended for persons with class B TB.</p><p><strong>Period covered: </strong>This report summarizes health information that was reported to CDC's Electronic Disease Notification (EDN) system for refugees, immigrants, and eligible others who arrived in the United States during 2014-2019. Eligible others are persons who although not classified as refugees (e.g., certain parolees, special immigrant visa holders, and follow-to-join asylees) are eligible for the same services and benefits as refugees.</p><p><strong>Description of system: </strong>The EDN system has both surveillance and programmatic components. The surveillance component is a centralized database that collects 1) health-related data from the overseas medical examination for immigrants with class A or B conditions and for all refugees and eligible others and 2) TB-related data from the postarrival TB examination. The programmatic component is a reporting system that sends arrival notifications to state and local health agencies in the jurisdiction where newly arriving persons have reported intending to live and provides state and local health agencies and other authorized users with medical data from overseas examinations.</p><p><strong>Results: </strong>During 2014-2019, approximately 3.5 million persons moved to the United States from abroad, including 3.2 million immigrants, 313,890 refugees, and 95,993 eligible others. Among these, the overseas examination identified 139,683 persons (3,903 per 100,000 persons examined) with class B TB, 54 with primary or secondary syphilis (30 per 100,000 persons tested), 761 with latent syphilis (415 per 100,000 persons tested), and, after laboratory testing for gonorrhea was ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"71 2","pages":"1-21"},"PeriodicalIF":24.9,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791661/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39837013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asha Z Ivey-Stephenson, Alex E Crosby, Jennifer M Hoenig, Shiromani Gyawali, Eunice Park-Lee, Sarra L Hedden
{"title":"Suicidal Thoughts and Behaviors Among Adults Aged ≥18 Years - United States, 2015-2019.","authors":"Asha Z Ivey-Stephenson, Alex E Crosby, Jennifer M Hoenig, Shiromani Gyawali, Eunice Park-Lee, Sarra L Hedden","doi":"10.15585/mmwr.ss7101a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7101a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Suicidal thoughts and behaviors are important public health concerns in the United States. In 2019, suicide was the 10th leading cause of death among persons aged ≥18 years (adults); in that year, 45,861 adults died as a result of suicide, and an estimated 381,295 adults visited hospital emergency departments for nonfatal, self-inflicted injuries. Regional- and state-level data on self-inflicted injuries are needed to help localities establish priorities and evaluate the effectiveness of suicide prevention strategies.</p><p><strong>Period covered: </strong>2015-2019.</p><p><strong>Description of system: </strong>The National Survey on Drug Use and Health (NSDUH) is an annual survey of a representative sample of the civilian, noninstitutionalized U.S. population aged ≥12 years. NSDUH collects data on the use of illicit drugs, alcohol, and tobacco; initiation of substance use; substance use disorders and treatment; health care; and mental health. This report summarizes data on responses to questions concerning suicidal thoughts and behaviors contained in the mental health section among sampled persons aged ≥18 years in all 50 states and the District of Columbia. This report summarizes 2015-2019 NSDUH data collected from 254,767 respondents regarding national-, regional-, and state-level prevalence of suicidal thoughts, planning, and attempts by age group, sex, race and ethnicity, region, state, education, marital status, poverty level, and health insurance status.</p><p><strong>Results: </strong>Prevalence estimates of suicidal thoughts and behaviors varied by sociodemographic factors, region, and state. During 2015-2019, an estimated 10.6 million (annual average) adults in the United States (4.3% of the adult population) reported having had suicidal thoughts during the preceding year. The prevalence of having had suicidal thoughts ranged from 4.0% in the Northeast and South to 4.8% in the West and from 3.3% in New Jersey to 6.9% in Utah. An estimated 3.1 million adults (1.3% of the adult population) had made a suicide plan in the past year. The prevalence of having made suicide plans ranged from 1.0% in the Northeast to 1.4% in the Midwest and West and from 0.8% in Connecticut and New Jersey to 2.4% in Alaska. An estimated 1.4 million adults (0.6% of the adult population) had made a suicide attempt in the past year. The prevalence of suicide attempts ranged from 0.5% in the Northeast to 0.6% in the Midwest, South, and West and from 0.3% in Connecticut to 0.9% in West Virginia. Past-year prevalence of suicidal thoughts, suicide planning, and suicide attempts was higher among females than among males, higher among adults aged 18-39 years than among those aged ≥40 years, higher among noncollege graduates than college graduates, and higher among adults who had never been married than among those who were married, separated, divorced, or widowed. Prevalence was also higher among those living in poverty than among ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"71 1","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8736267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39902890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kelly A Shaw, Matthew J Maenner, Amanda V Bakian, Deborah A Bilder, Maureen S Durkin, Sarah M Furnier, Michelle M Hughes, Mary Patrick, Karen Pierce, Angelica Salinas, Josephine Shenouda, Alison Vehorn, Zachary Warren, Walter Zahorodny, John N Constantino, Monica DiRienzo, Amy Esler, Robert T Fitzgerald, Andrea Grzybowski, Allison Hudson, Margaret H Spivey, Akilah Ali, Jennifer G Andrews, Thaer Baroud, Johanna Gutierrez, Libby Hallas, Jennifer Hall-Lande, Amy Hewitt, Li-Ching Lee, Maya Lopez, Kristen Clancy Mancilla, Dedria McArthur, Sydney Pettygrove, Jenny N Poynter, Yvette D Schwenk, Anita Washington, Susan Williams, Mary E Cogswell
{"title":"Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018.","authors":"Kelly A Shaw, Matthew J Maenner, Amanda V Bakian, Deborah A Bilder, Maureen S Durkin, Sarah M Furnier, Michelle M Hughes, Mary Patrick, Karen Pierce, Angelica Salinas, Josephine Shenouda, Alison Vehorn, Zachary Warren, Walter Zahorodny, John N Constantino, Monica DiRienzo, Amy Esler, Robert T Fitzgerald, Andrea Grzybowski, Allison Hudson, Margaret H Spivey, Akilah Ali, Jennifer G Andrews, Thaer Baroud, Johanna Gutierrez, Libby Hallas, Jennifer Hall-Lande, Amy Hewitt, Li-Ching Lee, Maya Lopez, Kristen Clancy Mancilla, Dedria McArthur, Sydney Pettygrove, Jenny N Poynter, Yvette D Schwenk, Anita Washington, Susan Williams, Mary E Cogswell","doi":"10.15585/mmwr.ss7010a1","DOIUrl":"10.15585/mmwr.ss7010a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2018.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring Network is an active surveillance program that estimates ASD prevalence and monitors timing of ASD identification among children aged 4 and 8 years. This report focuses on children aged 4 years in 2018, who were born in 2014 and had a parent or guardian who lived in the surveillance area in one of 11 sites (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin) at any time during 2018. Children were classified as having ASD if they ever received 1) an ASD diagnostic statement (diagnosis) in an evaluation, 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code. Suspected ASD also was tracked among children aged 4 years. Children who did not meet the case definition for ASD were classified as having suspected ASD if their records contained a qualified professional's statement indicating a suspicion of ASD.</p><p><strong>Results: </strong>For 2018, the overall ASD prevalence was 17.0 per 1,000 (one in 59) children aged 4 years. Prevalence varied from 9.1 per 1,000 in Utah to 41.6 per 1,000 in California. At every site, prevalence was higher among boys than girls, with an overall male-to-female prevalence ratio of 3.4. Prevalence of ASD among children aged 4 years was lower among non-Hispanic White (White) children (12.9 per 1,000) than among non-Hispanic Black (Black) children (16.6 per 1,000), Hispanic children (21.1 per 1,000), and Asian/Pacific Islander (A/PI) children (22.7 per 1,000). Among children aged 4 years with ASD and information on intellectual ability, 52% met the surveillance case definition of co-occurring intellectual disability (intelligence quotient ≤70 or an examiner's statement of intellectual disability documented in an evaluation). Of children aged 4 years with ASD, 72% had a first evaluation at age ≤36 months. Stratified by census-tract-level median household income (MHI) tertile, a lower percentage of children with ASD and intellectual disability was evaluated by age 36 months in the low MHI tertile (72%) than in the high MHI tertile (84%). Cumulative incidence of ASD diagnosis or eligibility received by age 48 months was 1.5 times as high among children aged 4 years (13.6 per 1,000 children born in 2014) as among those aged 8 years (8.9 per 1,000 children born in 2010). Across MHI tertiles, higher cumulative incidence of ASD diagnosis or eligibility received by age 48 months was associated with lower MHI. Suspected ASD prevalence was 2.6 per 1,000 children aged 4 years, meaning for every six children with ASD, one child had suspected ASD. The combined prevalence of ASD and suspected ASD (19.7 per 1,000 children aged 4 years) was lower than ASD prevalence among children aged 8 years (23","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 10","pages":"1-14"},"PeriodicalIF":37.3,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639027/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39774276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthew J Maenner, Kelly A Shaw, Amanda V Bakian, Deborah A Bilder, Maureen S Durkin, Amy Esler, Sarah M Furnier, Libby Hallas, Jennifer Hall-Lande, Allison Hudson, Michelle M Hughes, Mary Patrick, Karen Pierce, Jenny N Poynter, Angelica Salinas, Josephine Shenouda, Alison Vehorn, Zachary Warren, John N Constantino, Monica DiRienzo, Robert T Fitzgerald, Andrea Grzybowski, Margaret H Spivey, Sydney Pettygrove, Walter Zahorodny, Akilah Ali, Jennifer G Andrews, Thaer Baroud, Johanna Gutierrez, Amy Hewitt, Li-Ching Lee, Maya Lopez, Kristen Clancy Mancilla, Dedria McArthur, Yvette D Schwenk, Anita Washington, Susan Williams, Mary E Cogswell
{"title":"Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018.","authors":"Matthew J Maenner, Kelly A Shaw, Amanda V Bakian, Deborah A Bilder, Maureen S Durkin, Amy Esler, Sarah M Furnier, Libby Hallas, Jennifer Hall-Lande, Allison Hudson, Michelle M Hughes, Mary Patrick, Karen Pierce, Jenny N Poynter, Angelica Salinas, Josephine Shenouda, Alison Vehorn, Zachary Warren, John N Constantino, Monica DiRienzo, Robert T Fitzgerald, Andrea Grzybowski, Margaret H Spivey, Sydney Pettygrove, Walter Zahorodny, Akilah Ali, Jennifer G Andrews, Thaer Baroud, Johanna Gutierrez, Amy Hewitt, Li-Ching Lee, Maya Lopez, Kristen Clancy Mancilla, Dedria McArthur, Yvette D Schwenk, Anita Washington, Susan Williams, Mary E Cogswell","doi":"10.15585/mmwr.ss7011a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7011a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2018.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts active surveillance of ASD. This report focuses on the prevalence and characteristics of ASD among children aged 8 years in 2018 whose parents or guardians lived in 11 ADDM Network sites in the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. In 2018, children met the case definition if their records documented 1) an ASD diagnostic statement in an evaluation (diagnosis), 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code.</p><p><strong>Results: </strong>For 2018, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 16.5 in Missouri to 38.9 in California. The overall ASD prevalence was 23.0 per 1,000 (one in 44) children aged 8 years, and ASD was 4.2 times as prevalent among boys as among girls. Overall ASD prevalence was similar across racial and ethnic groups, except American Indian/Alaska Native children had higher ASD prevalence than non-Hispanic White (White) children (29.0 versus 21.2 per 1,000 children aged 8 years). At multiple sites, Hispanic children had lower ASD prevalence than White children (Arizona, Arkansas, Georgia, and Utah), and non-Hispanic Black (Black) children (Georgia and Minnesota). The associations between ASD prevalence and neighborhood-level median household income varied by site. Among the 5,058 children who met the ASD case definition, 75.8% had a diagnostic statement of ASD in an evaluation, 18.8% had an ASD special education classification or eligibility and no ASD diagnostic statement, and 5.4% had an ASD ICD code only. ASD prevalence per 1,000 children aged 8 years that was based exclusively on documented ASD diagnostic statements was 17.4 overall (range: 11.2 in Maryland to 29.9 in California). The median age of earliest known ASD diagnosis ranged from 36 months in California to 63 months in Minnesota. Among the 3,007 children with ASD and data on cognitive ability, 35.2% were classified as having an intelligence quotient (IQ) score ≤70. The percentages of children with ASD with IQ scores ≤70 were 49.8%, 33.1%, and 29.7% among Black, Hispanic, and White children, respectively. Overall, children with ASD and IQ scores ≤70 had earlier median ages of ASD diagnosis than children with ASD and IQ scores >70 (44 versus 53 months).</p><p><strong>Interpretation: </strong>In 2018, one in 44 children aged 8 years was estimated to have ASD, and prevalence and median age of identification varied widely across sites. Whereas overa","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 11","pages":"1-16"},"PeriodicalIF":24.9,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639024/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39685461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katherine Kortsmit, Michele G Mandel, Jennifer A Reeves, Elizabeth Clark, H Pamela Pagano, Antoinette Nguyen, Emily E Petersen, Maura K Whiteman
{"title":"Abortion Surveillance - United States, 2019.","authors":"Katherine Kortsmit, Michele G Mandel, Jennifer A Reeves, Elizabeth Clark, H Pamela Pagano, Antoinette Nguyen, Emily E Petersen, Maura K Whiteman","doi":"10.15585/mmwr.ss7009a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7009a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>CDC conducts abortion surveillance to document the number and characteristics of women obtaining legal induced abortions and number of abortion-related deaths in the United States.</p><p><strong>Period covered: </strong>2019.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies for 50 states, the District of Columbia, and New York City. For 2019, 49 reporting areas voluntarily provided aggregate abortion data to CDC. Of these, 48 reporting areas provided data each year during 2010-2019. Census and natality data were used to calculate abortion rates (number of abortions per 1,000 women aged 15-44 years) and ratios (number of abortions per 1,000 live births), respectively. Abortion-related deaths from 2018 were assessed as part of CDC's Pregnancy Mortality Surveillance System (PMSS).</p><p><strong>Results: </strong>A total of 629,898 abortions for 2019 were reported to CDC from 49 reporting areas. Among 48 reporting areas with data each year during 2010-2019, in 2019, a total of 625,346 abortions were reported, the abortion rate was 11.4 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 195 abortions per 1,000 live births. From 2018 to 2019, the total number of abortions increased 2% (from 614,820 total abortions), the abortion rate increased 0.9% (from 11.3 abortions per 1,000 women aged 15-44 years), and the abortion ratio increased 3% (from 189 abortions per 1,000 live births). From 2010 to 2019, the total number of reported abortions, abortion rate, and abortion ratio decreased 18% (from 762,755), 21% (from 14.4 abortions per 1,000 women aged 15-44 years), and 13% (from 225 abortions per 1,000 live births), respectively. In 2019, women in their 20s accounted for more than half of abortions (56.9%). Women aged 20-24 and 25-29 years accounted for the highest percentages of abortions (27.6% and 29.3%, respectively) and had the highest abortion rates (19.0 and 18.6 abortions per 1,000 women aged 20-24 and 25-29 years, respectively). By contrast, adolescents aged <15 years and women aged ≥40 years accounted for the lowest percentages of abortions (0.2% and 3.7%, respectively) and had the lowest abortion rates (0.4 and 2.7 abortions per 1,000 women aged <15 and ≥40 years, respectively). However, abortion ratios in 2019 were highest among adolescents (aged ≤19 years) and lowest among women aged 25-39 years. Abortion rates decreased from 2010 to 2019 for all women, regardless of age. The decrease in abortion rate was highest among adolescents compared with any other age group. From 2018 to 2019, abortion rates decreased or did not change among women aged ≤24 years; however, the abortion rate increased among those aged ≥25 years. Abortion ratios also decreased or did not change from 2010 to 2019 for all age groups, except adolescents aged <15 years. The decrease in abortion ratio was highest among women aged ≥40 years compared with","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 9","pages":"1-29"},"PeriodicalIF":24.9,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39654650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emiko Petrosky, Laura M Mercer Kollar, Megan C Kearns, Sharon G Smith, Carter J Betz, Katherine A Fowler, Delight E Satter
{"title":"Homicides of American Indians/Alaska Natives - National Violent Death Reporting System, United States, 2003-2018.","authors":"Emiko Petrosky, Laura M Mercer Kollar, Megan C Kearns, Sharon G Smith, Carter J Betz, Katherine A Fowler, Delight E Satter","doi":"10.15585/mmwr.ss7008a1","DOIUrl":"10.15585/mmwr.ss7008a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Homicide is a leading cause of death for American Indians/Alaska Natives (AI/ANs). Intimate partner violence (IPV) contributes to many homicides, particularly among AI/AN females. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on AI/AN homicides. Results include victim and suspect sex, age group, and race/ethnicity; method of injury; type of location where the homicide occurred; precipitating circumstances (i.e., events that contributed to the homicide); and other selected characteristics.</p><p><strong>Period covered: </strong>2003-2018.</p><p><strong>Description of system: </strong>NVDRS collects data regarding violent deaths obtained from death certificates, coroner/medical examiner reports, and law enforcement reports and links related deaths (e.g., multiple homicides and homicide followed by suicide) into a single incident. This report includes data on AI/AN homicides that were collected from 34 states (Alabama, Alaska, Arizona, California, Colorado, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, Nevada, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Utah, Virginia, Washington, and Wisconsin) and the District of Columbia.</p><p><strong>Results: </strong>NVDRS collected data on 2,226 homicides of AI/ANs in 34 states and the District of Columbia during 2003-2018. The age-adjusted AI/AN homicide rate was 8.0 per 100,000 population. The homicide rate was three times higher in AI/AN males than females (12.0 versus 3.9), and the median age of AI/AN victims was 32 years (interquartile range: 23-44 years). Approximately half of AI/AN homicide victims lived or were killed in metropolitan areas (48.2% and 52.7%, respectively). A firearm was used in nearly half (48.4%) of homicides and in a higher percentage of homicides of AI/AN males than females (51.5% versus 39.1%). More AI/AN females than males were killed in a house or apartment (61.8% versus 53.7%) or in their own home (47.7% versus 29.0%). Suspects were identified in 82.8% of AI/AN homicides. Most suspects were male (80.1%), and nearly one third (32.1%) of suspects were AI/ANs. For AI/AN male victims, the suspect was most often an acquaintance or friend (26.3%), a person known to the victim but the exact nature of the relationship was unclear (12.3%), or a relative (excluding intimate partners) (10.5%). For AI/AN female victims, the suspect was most often a current or former intimate partner (38.4%), an acquaintance or friend (11.5%), or a person known to the victim but the exact nature of the relationship was unclear (7.9%). A crime precipitated 24.6% of AI/AN homicides (i.e., the homicide occurred as the result of another serious crime). More AI/AN males were victims of homicides due to an argument or conflict than females (54.7% versus 37.3%), whereas more ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 8","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639023/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39745380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eloisa Llata, Kendra M Cuffe, Viani Picchetti, Jimmy R Braxton, Elizabeth A Torrone
{"title":"Demographic, Behavioral, and Clinical Characteristics of Persons Seeking Care at Sexually Transmitted Disease Clinics - 14 Sites, STD Surveillance Network, United States, 2010-2018.","authors":"Eloisa Llata, Kendra M Cuffe, Viani Picchetti, Jimmy R Braxton, Elizabeth A Torrone","doi":"10.15585/mmwr.ss7007a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7007a1","url":null,"abstract":"<p><strong>Problem: </strong>Sexually transmitted diseases (STDs) are a major cause of morbidity in the United States, with an estimated $15.9 billion in lifetime direct medical costs. Although the majority of STDs are diagnosed in the private sector, publicly funded STD clinics have an important role in providing comprehensive sexual health care services, including STD and HIV screening, for a broad range of patients. In certain cases, STD clinics often are the only source of sexual health care for patients, particularly among gay, bisexual, and other men who have sex with men (MSM).</p><p><strong>Period covered: </strong>2010-2018.</p><p><strong>Description of the system: </strong>The STD Surveillance Network (SSuN) is an ongoing sentinel surveillance system for monitoring clinical information among patients attending STD clinics. SSuN is a collaboration of competitively selected state and city health departments that conduct facility-based sentinel surveillance in STD clinics. Information routinely collected through the course of patient encounters is obtained for all patients seeking care in the participating STD clinics. This information includes demographic, behavioral, and clinical characteristics (e.g., STD and HIV tests performed and STD and HIV diagnoses). This report presents 2010-2018 SSuN data from 14 STD clinics in five cities (Baltimore, Maryland; New York City, New York; Philadelphia, Pennsylvania; San Francisco, California; and Seattle, Washington) to describe the patient populations seeking care in these STD clinics. Estimated numbers and percentages of patients receiving selected STD-related health services were calculated for each year by using an inverse variance weighted random-effects model, adjusting for heterogeneity among SSuN jurisdictions. Trends in receipt of selected STD-related health services were examined and included HIV screening after an acute STD diagnosis among persons not previously known to have HIV infection, annual chlamydia screening among adolescent and young females, and extragenital chlamydia and gonorrhea screening among MSM.</p><p><strong>Results: </strong>During 2010-2018, the total number of annual visits made in the 14 participating STD clinics decreased 29.8% (from 145,728 to 102,275 visits), and the total number of unique patients examined in the clinics decreased 35.1% (from 94,281 to 61,172 patients). Decreases in the number of unique patients occurred both among men who have sex with women only (42.4%; from 37,842 in 2010 to 21,781 in 2018) and among females (51.4%; from 36,485 in 2010 to 17,721 in 2018). The decreases in the number of female patients were observed across all age groups, although they were more pronounced among females aged ≤24 years (66.4%; from 17,721 in 2010 to 5,962 in 2018). In contrast, the number of patients identified as MSM increased 44.0% (from 12,859 in 2010 to 18,512 in 2018), with the greatest increase among MSM aged ≥25 years (58.6%; from 9,918 in 2010 to 15,73","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 7","pages":"1-20"},"PeriodicalIF":24.9,"publicationDate":"2021-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575410/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39678673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Keisha A Jenkins, George H Vaughan, Luis O Rodriguez, Amy Freeland
{"title":"Acute Gastroenteritis on Cruise Ships - Maritime Illness Database and Reporting System, United States, 2006-2019.","authors":"Keisha A Jenkins, George H Vaughan, Luis O Rodriguez, Amy Freeland","doi":"10.15585/mmwr.ss7006a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7006a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Gastrointestinal illness is common worldwide and can be transmitted by an infected person or contaminated food, water, or environmental surfaces. Outbreaks of gastrointestinal illness commonly occur in crowded living accommodations or communities where persons are physically close. Pathogens that cause gastrointestinal illness outbreaks can spread quickly in closed and semienclosed environments, such as cruise ships. CDC's Vessel Sanitation Program (VSP) is responsible for conducting public health inspections and monitoring acute gastroenteritis (AGE) illness on cruise ships entering the United States after visiting a foreign port.</p><p><strong>Period covered: </strong>2006-2019.</p><p><strong>Description of system: </strong>VSP maintains the Maritime Illness Database and Reporting System (MIDRS) for monitoring cases of AGE illness among passengers and crew sailing on cruise ships carrying ≥13 passengers and within 15 days of arrival at U.S. ports from foreign ports of call. Cruise ships under VSP jurisdiction are required to submit a standardized report (24-hour report) of AGE case counts for passengers and crew 24-36 hours before arrival at the first U.S. port after traveling internationally. If the cumulative number of AGE cases increases after submission of the 24-hour report, an updated report must be submitted no less than 4 hours before the ship arrives at the U.S. port. A special report is submitted to MIDRS when vessels are within 15 days of arrival at a U.S. port and cumulative case counts reach 2% of the passenger or crew population during a voyage. VSP declares an outbreak when 3% or more of the passengers or crew on a voyage report AGE symptom to the ship's medical staff.</p><p><strong>Results: </strong>During 2006-2019, a total of 37,276 voyage reports from 252 cruise ships were submitted to MIDRS. Of the 252 cruise ships, 80.6% were extra large in size (60,001-120,000 gross registered tons [GRT]), 37.0% and 32.9% had voyages lasting 3-5 days and 8-10 days, respectively, and 53.2% were traveling to a port in the Southeast region of the United States at the time the final MIDRS report was submitted. During 2006-2019, VSP received 18,040 (48.4%) 24-hour routine reports, 18,606 (49.9%) 4-hour update reports, and 612 (1.6%) special reports (2% and 3% AGE reports). Incidence rates decreased from 32.5 cases per 100,000 travel days to 16.9 for passengers and from 13.5 to 5.2 for crew. Among passengers, AGE incidence rates increased with increasing ship size and voyage length. For crew members, rates were significantly higher on extra-large ships (19.8 per 100,000 travel-days) compared with small and large ships and on voyages lasting 6-7 days. Geographically, passenger incidence rates were highest among ships underway to ports in California, Alaska, Texas, New York, Florida, and Louisiana. Among passengers, AGE incidence rates were significantly higher on ships anchoring in California (32.1 per 100,0","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"70 6","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480991/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39441232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}