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Early identification of autism spectrum disorder among children aged 4 years—Early Autism and Developmental Disabilities Monitoring Network, six sites, United States, 2016.
Open accessAbstract
PROBLEM/CONDITION: Autism spectrum disorder (ASD). PERIOD COVERED: 2016. DESCRIPTION OF SYSTEM: The Early Autism and Developmental Disabilities Monitoring (Early ADDM) Network, a subset of the overall ADDM Network, is an active surveillance program that estimates ASD prevalence and monitors early identification of ASD among children aged 4 years. Children included in surveillance year 2016 were born in 2012 and had a parent or guardian who lived in the surveillance area in Arizona, Colorado, Missouri, New Jersey, North Carolina, or Wisconsin, at any time during 2016. Children were identified from records of community sources including general pediatric health clinics, special education programs, and early intervention programs. Data from comprehensive evaluations performed by community professionals were abstracted and reviewed by trained clinicians using a standardized ASD surveillance case definition with criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). RESULTS: In 2016, the overall ASD prevalence was 15.6 per 1,000 (one in 64) children aged 4 years for Early ADDM Network sites. Prevalence varied from 8.8 per 1,000 in Missouri to 25.3 per 1,000 in New Jersey. At every site, prevalence was higher among boys than among girls, with an overall male-to-female prevalence ratio of 3.5 (95% confidence interval [CI] = 3.1-4.1). Prevalence of ASD between non-Hispanic white (white) and non-Hispanic black (black) children was similar at each site (overall prevalence ratio: 0.9; 95% CI = 0.8-1.1). The prevalence of ASD using DSM-5 criteria was lower than the prevalence using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) criteria at one of four sites that used criteria from both editions. Among sites where ≥60% of children aged 4 years had information about intellectual disability (intelligence quotient ≤70 or examiner's statement of intellectual disability documented in an evaluation), 53% of children with ASD had co-occurring intellectual disability. Of all children aged 4 years with ASD, 84% had a first evaluation at age ≤36 months and 71% of children who met the surveillance case definition had a previous ASD diagnosis from a community provider. Median age at first evaluation and diagnosis for this age group was 26 months and 33 months, respectively. Cumulative incidence of autism diagnoses received by age 48 months was higher for children aged 4 years than for those aged 8 years identified in Early ADDM Network surveillance areas in 2016. INTERPRETATION: In 2016, the overall prevalence of ASD in the Early ADDM Network using DSM-5 criteria (15.6 per 1,000 children aged 4 years) was higher than the 2014 estimate using DSM-5 criteria (14.1 per 1,000). Children born in 2012 had a higher cumulative incidence of ASD diagnoses by age 48 months compared with children born in 2008, which indicates more early identification of ASD in the younger group. The disparity in ASD prevalence has decreased between white and black children. Prevalence of co-occurring intellectual disability was higher than in 2014, suggesting children with intellectual disability continue to be identified at younger ages. More children received evaluations by age 36 months in 2016 than in 2014, which is consistent with Healthy People 2020 goals. Median age at earliest ASD diagnosis has not changed considerably since 2014. PUBLIC HEALTH ACTION: More children aged 4 years with ASD are being evaluated by age 36 months and diagnosed by age 48 months, but there is still room for improvement in early identification. Timely evaluation of children by community providers as soon as developmental concerns have been identified might result in earlier ASD diagnoses, earlier receipt of evidence-based interventions, and improved developmental outcomes.
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“Although prevalence has been lower among children aged 4 years than aged 8 years in each reporting year, comparing cumulative incidence of identification by age 48 months has consistently indicated higher rates of ASD identification in younger cohorts (i.e., children born more recently) (9–11).”
In the citing paper
“In addition, ASD identification measured by cumulative incidence of diagnosis by age 48 months was higher among children aged 4 years (born in 2012) compared with children aged 8 years (born in 2008), suggesting increased early identification of ASD among the younger cohort (8).”
In the citing paper
“Surveillance among children aged 4 years in 2016 (8) indicated similar prevalence among children of different racial and ethnic groups, consistent with trends among children aged 8 years (9).”
In the citing paper
“The 2018 estimate for children aged 4 years was lower than the 23.0 per 1,000 ASD prevalence among children aged 8 years (11), a finding consistent with previous reports (8,13).”
In the citing paper
“The ASD prevalence of 17.0 per 1,000 children aged 4 years for 2018 was higher than for 2016, when prevalence was 15.6 per 1,000 (8).”
In the citing paper
“In 2016, prevalence was higher among Hispanic compared with White children aged 4 years higher at one site (New Jersey) and overall (8).”
In the citing paper
“The sex ratio is one example of how differences in identification of children without intellectual disability can affect patterns observed at older ages, with a higher ratio of boys to girls at age 8 years than at age 4 years, consistent with previous reports (8,9).”
In the citing paper
“Children with co-occurring intellectual disability are more likely to be identified earlier than children without intellectual disability, as indicated by an earlier median age at identification among this group (11) as well as the consistently higher proportion of children with intellectual disability at age 4 years (8,13) than at age 8 years (9,11,17).”
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Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Baio, J., Wiggins, L., Christensen, D. L., Maenner, M. J., Daniels, J., Warren, Z., Kurzius-Spencer, M., Zahorodny, W., Robinson, C., Rosenberg, et al. (2018) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6706a1 · Cited by 6,078
Self-citationMaenner, M. J., Shaw, K. A., Baio, J., EdS1, Washington, A., Patrick, M., DiRienzo, M., Christensen, D. L., Wiggins, L. D., Pettygrove, S., et al. (2020) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6904a1 · Cited by 3,780 · cited 4×
“In contrast, children aged 8 years with ASD and intellectual disability were more likely to be evaluated and receive an ASD diagnosis at a younger age (8).”
BackgroundInfluentialSelf-citationWhat Is the Male-to-Female Ratio in Autism Spectrum Disorder? A Systematic Review and Meta-Analysis
Loomes, R., Hull, L., & Mandy, W. P. L. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.03.013 · Cited by 2,804
Identification and Evaluation of Children With Autism Spectrum Disorders
Johnson, C. P., Myers, S. M., & and the Council on Children With Disabilities (2007) · Pediatrics · doi:10.1542/peds.2007-2361 · Cited by 2,011
Christensen, D. L., Baio, J., Braun, K. V. N., Bilder, D., Charles, J., Constantino, J. N., Daniels, J., Durkin, M. S., Fitzgerald, R. T., Kurzius-Spencer, M., et al. (2016) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6503a1 · Cited by 1,964
Self-citationRice, C. E. (2009) · PsycEXTRA Dataset · doi:10.1037/e562722010-001 · Cited by 762
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Items 101–200 of 286
Gerber, A. S., Kang, E., Nahmias, A. S., Libsack, E. J., Simson, C., & Lerner, M. D. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05559-2 · Cited by 8
McGrath, K., Bonuck, K. A., & Mann, M. (2020) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-020-09338-x · Cited by 9
Leoste, J., Tammemäe, T., Eskla, G., López, J. S. M., Pastor, L., & Blasco, E. P. (2021) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-82544-7_2 · Cited by 8
Fernández, L. M., Suárez, L. M., & Gómez, L. E. (2021) · Siglo Cero: Revista Española sobre Discapacidad Intelectual · doi:10.14201/scero20215238199 · Cited by 8
Moster, M., Kokinda, E., Re, M., Dominic, J., Lehmann, J., Begel, A., & Rodeghero, P. (2022) · IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET) · doi:10.1109/icse-seet55299.2022.9794268 · Cited by 8
Karabulut, B., & Şahbudak, B. (2020) · PubMed Central · doi:10.64719/pb.4610 · Cited by 2
Epidemiological Surveys of ASD: Current Findings and New Directions
Fombonne, E. J., MacFarlane, H., Salem, A. C., & Zuckerman, K. E. (2022) · Autism and child psychopathology series · doi:10.1007/978-3-030-88538-0_6 · Cited by 8
Abelson, N., Meiri, G., Solomon, S., Flusser, H., Michaelovski, A., Dinstein, I., & Menashe, I. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.771232 · Cited by 9
Kulikovskiy, R., Sochanski, M., Hijaz, A., Eaton, M., Korneder, J., & Louie, W.-Y. G. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561112 · Cited by 8
de Oliveira Marques, V., Kort-Kamp, L. M., de Souza, M. A. N., Portela, M. B., & Castro, G. F. B. D. A. (2025) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-06209-x · Cited by 7
Haffner, D. N., Bartram, L. R., Coury, D. L., Rice, C. E., Steingass, K. J., Moore‐Clingenpeel, M., & Maitre, N. L. (2021) · Infant Behavior and Development · doi:10.1016/j.infbeh.2021.101650 · Cited by 8
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Hasler, M., Fideli, Ü. S., Susi, A., & Hisle-Gorman, E. J. (2023) · Congenital Anomalies · doi:10.1111/cga.12516 · Cited by 7
Stigma among Parents of Children with Autism: An Integrative Review
Khanh, T. L., Lan, A. T., & Hoang, A. P. (2023) · Pacific Rim International Journal of Nursing Research · doi:10.60099/prijnr.2023.261650 · Cited by 7
Espinoza, J., Deavenport‐Saman, A., Solomon, O., Chowdhuri, S., Wee, C. P., Azen, C., Orozco, J., Kreutzer, C. B., & Yin, L. (2021) · Autism · doi:10.1177/1362361321993710 · Cited by 7
In-the-Wild Learning from Demonstration for Therapies for Autism Spectrum Disorder
Hijaz, A., Korneder, J., & Louie, W.-Y. G. (2021) · IEEE RO-MAN · doi:10.1109/ro-man50785.2021.9515439 · Cited by 7
Winch, A. T., Klaver, S. J., Simpson, S. D., Calub, C. A., & Alexander, K. (2021) · Evidence-Based Practice in Child and Adolescent Mental Health · doi:10.1080/23794925.2021.2013139 · Cited by 8
Song, Y., Kong, X., Fu, W., & Song, F. (2025) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-025-06791-2 · Cited by 6
TÖLÜK, B., Polat, Ö., & Yılmaz, S. (2021) · Turkish Journal of Family Medicine & Primary Care · doi:10.21763/tjfmpc.928293 · Cited by 6
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Rahmani, Z., Rahmani, D., Jazi, M. S., Ghasemi, M., Sadeghi, H., Miryounesi, M., Razjouyan, K., & Bordbar, M. R. F. (2024) · Scientific Reports · doi:10.1038/s41598-024-77603-3 · Cited by 6
Abuaish, S., Al-Otaibi, N. M., Aabed, K., Abujamel, T. S., Alzahrani, S. A., Alotaibi, S. M., Bhat, R. S., Arzoo, S., & El-Ansary, A. K. (2021) · Metabolic Brain Disease · doi:10.1007/s11011-021-00732-5 · Cited by 7
Machine Learning Approaches in Detecting Autism Spectrum Disorder
Daniel, D., Dominic, N., Cenggoro, T. W., & Pardamean, B. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2023.10.617 · Cited by 11
Shahidullah, J. D., Brinster, M., Patel, P., Cannady, M., Krishnan, A., Talebi, H., & Mani, N. (2022) · Psychology in the Schools · doi:10.1002/pits.22642 · Cited by 6
The future of care and clinical research in autism — recommendations from the 2021 Lancet Commission
Yu, X., & Xu, X. (2022) · Medical Review · doi:10.1515/mr-2022-0015 · Cited by 6
Sobieski, M., Kopszak, A., Wrona, S., & Bujnowska–Fedak, M. M. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299618 · Cited by 5
Lertpeerapan, P., Kanlayaprasit, S., Thongkorn, S., Kasitipradit, K., Panjabud, P., Songsritaya, K., Jantheang, T., Morita, M., Akaike, T., Hu, V. W., et al. (2025) · Biology of Sex Differences · doi:10.1186/s13293-025-00744-1 · Cited by 5
Copy number variations in Japanese children with autism spectrum disorder
Sakamoto, Y., Shimoyama, S., Furukawa, T., Adachi, M., Takahashi, M., Mikami, T., Kuribayashi, M., Osato‐Kaneda, A., Tsushima, D., Saito, M., et al. (2021) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000276 · Cited by 5
Implementation of Support Programs for Parents of Preschool Children with ASD
Bobrova, A. V., Dovbnya, S., Morozova, T. Y., & Sotova, E. N. (2022) · Autism and Developmental Disorders · doi:10.17759/autdd.2022200105 · Cited by 5
Lu, Y., Zhang, L., Wu, X., Fei, F.-R., & Han, H. (2022) · Disease Markers · doi:10.1155/2022/3372217 · Cited by 5
Early Detection Assessment Tools in Children With Autism Spectrum Disorder: A Literature Study
Cahyadi, M., Aqilah, T. S., Ediyanto, E., & Junaidi, A. R. (2022) · Discourse and Communication for Sustainable Education · doi:10.2478/dcse-2022-0015 · Cited by 5
Epidemiological Study on the Early Detection of Mental Disorders in Young Children in Russia
Иванов, М. В., Бокша, И. С., Балакирева, Е. А., & Klyushnik, T. P. (2022) · Consortium Psychiatricum · doi:10.17816/cp208 · Cited by 5
Chihuri, S., Blanchard, A., DiGuiseppi, C. G., & Li, G. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-06091-7 · Cited by 5
Santini, F., Tauro, G., Mazzali, M., Grazioli, S., Mauri, M., Rosi, E., Marco, P., Tarabelloni, A., Tizzoni, F., Villa, F. M., et al. (2022) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-99194-4_16 · Cited by 5
Liljenwall, H., Lean, R. E., Smyser, T. A., Smyser, C. D., & Rogers, C. E. (2022) · Journal of Perinatology · doi:10.1038/s41372-022-01463-w · Cited by 5
Budișteanu, M., Papuc, S. M., Erbescu, A., Glangher, A., Andrei, L. E., Rad, F., Hinescu, M. E., & Arghir, A. (2024) · Reviews in the Neurosciences · doi:10.1515/revneuro-2024-0106 · Cited by 4
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Симашкова, Н. В., Иванов, М. В., Бокша, И. С., Klyushnik, T. P., Zozulya, S. A., & Sharlay, I. A. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05546-7 · Cited by 4
Suleymanova, Z. Y., Ustinova, N. V., & Turti, T. V. (2022) · Педиатрическая фармакология · doi:10.15690/pf.v19i2.2397 · Cited by 4
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Ma, Z., Xu, L., Li, Q., Li, X., Shi, Y., Zhang, X., Yang, Y., Wang, J., Fan, L., & Wu, L. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032367 · Cited by 4
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Bakare, M. O., Frazier, T. W., Karpur, A., Abubakar, A. A., Nyongesa, M. K., Mwangi, P. M., Dixon, P. J., Khaliq, I. N., Gase, N., Sandstrom, J., et al. (2022) · Autism · doi:10.1177/13623613221080250 · Cited by 4
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Zane, T. L., Kuhn, R. M., Volpe, S., Mussetter, M., & Juanico, J. F. (2022) · Autism and child psychopathology series · doi:10.1007/978-3-030-96478-8_7 · Cited by 4
Frelinger, C., Gardner, R. M., Huffman, L. C., Whitgob, E. E., Feldman, H. M., & Bannett, Y. (2023) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000001167 · Cited by 4
Madhavilatha, I., & Krishna, K. H. (2025) · International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) · doi:10.1109/iitcee64140.2025.10915458 · Cited by 3
Wieckowski, A. T., de Marchena, A. B., Dickerson, A. F., Frick, E., Liz, G. P., Dubin, A. H., & Robins, D. L. (2025) · Autism · doi:10.1177/13623613251355257 · Cited by 3
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Hasan, H., Hagerman, R. J., Say, D. S., Nguyen, A. P., Babata, K., Oyegbile-Chidi, T. O., Herrera-Guerra, A., Torrents, C., Silver, C. E., & Restrepo, B. (2025) · World Journal of Clinical Pediatrics · doi:10.5409/wjcp.v14.i4.111641 · Cited by 3
Nuraini, N., Appling, C. B., Ferguson, B. J., Singh, A., Moffitt, A. J., Bhat, R., Schraml, F. V., Braden, B. B., & Beversdorf, D. Q. (2025) · Autism Research · doi:10.1002/aur.70144 · Cited by 3
Alabbad, M., Nuhmani, S., Ahmed, R., Bashir, S., Khan, M. A., & Abualait, T. (2026) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-026-09672-6 · Cited by 3
Pagnier, M., & Chaste, P. (2022) · Trends in Psychology · doi:10.1007/s43076-022-00234-y · Cited by 3
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Das, M., & Mahadevappa, M. (2023) · International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA) · doi:10.1109/cera59325.2023.10455596 · Cited by 3
Yu, Y., Schetter, P. L., Melgarejo, M., Suhrheinrich, J., Holmes, J., Gonsier-Gerdin, J., & Stahmer, A. C. (2025) · The Journal of Special Education · doi:10.1177/00224669251321461 · Cited by 3
Kerub, O., Alhozyel, E., Blaaum, R., Elbedour, L., Meiri, G., Zigdon, D., Michaelovski, A., Frankel, R., Goshen, M. S., Gdalevich, M., et al. (2025) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-025-06923-8 · Cited by 3
Long, M., & Register‐Brown, K. (2021) · Pediatrics in Review · doi:10.1542/pir.2020-000547 · Cited by 4
Reinblatt, S. P., Coble, K., Williams, J.-L., Cotton, A., & Bettencourt, A. F. (2022) · Journal of the Academy of Consultation-Liaison Psychiatry · doi:10.1016/j.jaclp.2022.01.004 · Cited by 3
da Silva, J. F., Honorato, M. M., Cremaschi, R. C., & Coelho, F. M. S. (2023) · Journal of Neurosciences in Rural Practice · doi:10.25259/jnrp_53_2022 · Cited by 3
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Gonçalves, B. P., Silva, E. D. S., Luçardo, J. D. C., Fernandes, M. P., Grokoski, K. C., Vaz, J. D. S., & Valle, S. C. (2023) · Nutrición Hospitalaria · doi:10.20960/nh.04472 · Cited by 3
Maltman, N., Willer, R., & Sterling, A. M. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2023_jslhr-23-00024 · Cited by 3
López‐Zamora, M., Cano‐Villagrasa, A., Ramos, A. C., & Porcar‐Gozalbo, N. (2023) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe13110166 · Cited by 3
Tekmenuray‐Unal, A., & Durmaz, C. D. (2024) · Dicle Medical Journal / Dicle Tip Dergisi · doi:10.5798/dicletip.1451758 · Cited by 3
Sobieski, M., Wrona, S., Flakus, M., Pierchała, K., Sobieska, A., Podgórska, K., Wołowicz, A., Sekułowicz, M., & Bujnowska–Fedak, M. M. (2024) · Research in Autism · doi:10.1016/j.rasd.2024.102454 · Cited by 7
Maltman, N., Hilvert, E., Friedman, L., & Sterling, A. M. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-22-00078 · Cited by 3
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Levy, T., Britvan, B., Grosman, H. E., Giserman‐Kiss, I., Meyering, K., Weissman, J., Halpern, D. B., Zweifach, J., Trelles, M. P., Foss‐Feig, J. H., et al. (2022) · Autism Research · doi:10.1002/aur.2704 · Cited by 2
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Guy, M. W., Richards, J. E., & Roberts, J. E. (2022) · Brain Sciences · doi:10.3390/brainsci12091129 · Cited by 2
Sobieski, M., Grata-Borkowska, U. T., & Bujnowska–Fedak, M. M. (2024) · Brain Sciences · doi:10.3390/brainsci14040388 · Cited by 2
Chantaraseno, S., Amornphetchakul, T., & Wannapaschaiyong, P. (2024) · Siriraj Medical Journal/San Sirirat · doi:10.33192/smj.v76i9.268770 · Cited by 2
Judge, J. P., Morgan, K. N., & Clifton, A. (2022) · Journal of the American Academy of Special Education Professionals · doi:10.64546/jaasep.498 · Cited by 2
Gabrielsen, T. P., Manwaring, S. S., & Stuart, A. L. (2020) · Springer eBooks · doi:10.1007/978-3-030-46295-6_3 · Cited by 2
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Wallis, K. E., Buttenheim, A. M., & Mandell, D. S. (2020) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000000869 · Cited by 2
Bakkaloğlu, H., Kudret, Z. B., Akçamuş, M. Ç. Ö., Yalçın, S., & Demir, Ş. (2021) · Cukurova University Faculty of Education Journal · Cited by 2
Breen, M., McClarty, J., Langley, C., Farzidayeri, J., Trevethan, K., Swenson, B., Sarkar, M. S., Wade, J. W., & Sarkar, N. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-78092-0_36 · Cited by 2
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Metadata
- Authors
- Shaw, K. A., Maenner, M. J., Baio, J., EdS1, Washington, A., Christensen, D. L., Wiggins, L. D., Pettygrove, S., Andrews, J. G., White, T., Rosenberg, C. R., Constantino, J. N., Fitzgerald, R. T., Zahorodny, W., Shenouda, J., Daniels, J. L., Salinas, A., Durkin, M. S., & Dietz, P. M.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Shaw, Kelly A.
- ORCID
- Venue
- MMWR. Surveillance Summaries
- Published
- 2020-03-27
- Volume
- 69
- Issue
- 3
- Pages
- 1-11
- ISSN
- 1545-8636 (ISSN-L)
- 1546-0738
- PMC
- PMC7119643
- OpenAlex
- W3013358449
- Cited by
- 286
- References
- 22
- Citations by year
- 2026: 17 · 2025: 36 · 2024: 30 · 2023: 50 · 2022: 65 · 2021: 67 · 2020: 19
- FWCI
- 26.99
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- MMWR Surveillance Summaries (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UA Campus Repository (The University of Arizona) (acceptedVersion, public-domain)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Institute of Environmental Health Sciences (P30ES010126)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
- Social Sciences › Psychology › Clinical Psychology › Family and Disability Support Research
- Keywords
- autism spectrum disorder, autism prevalence, early detection, DSM-5 diagnostic criteria, DSM-IV-TR diagnostic criteria, sex differences in prevalence, racial and ethnic differences, early intervention programs, special education programs
- MeSH terms
- Autism Spectrum Disorder, Child, Preschool, Female, Humans, Male, Population Surveillance, United States, Prevalence, Diagnostic and Statistical Manual of Mental Disorders, Early Diagnosis
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