The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Preliminary Estimates of the Prevalence of Selected Underlying Health Conditions Among Patients with Coronavirus Disease 2019 — United States, February 12–March 28, 2020
Open accessAbstract
On March 11, 2020, the World Health Organization declared Coronavirus Disease 2019 (COVID-19) a pandemic (1). As of March 28, 2020, a total of 571,678 confirmed COVID-19 cases and 26,494 deaths have been reported worldwide (2). Reports from China and Italy suggest that risk factors for severe disease include older age and the presence of at least one of several underlying health conditions (3,4). U.S. older adults, including those aged ≥65 years and particularly those aged ≥85 years, also appear to be at higher risk for severe COVID-19-associated outcomes; however, data describing underlying health conditions among U.S. COVID-19 patients have not yet been reported (5). As of March 28, 2020, U.S. states and territories have reported 122,653 U.S. COVID-19 cases to CDC, including 7,162 (5.8%) for whom data on underlying health conditions and other known risk factors for severe outcomes from respiratory infections were reported. Among these 7,162 cases, 2,692 (37.6%) patients had one or more underlying health condition or risk factor, and 4,470 (62.4%) had none of these conditions reported. The percentage of COVID-19 patients with at least one underlying health condition or risk factor was higher among those requiring intensive care unit (ICU) admission (358 of 457, 78%) and those requiring hospitalization without ICU admission (732 of 1,037, 71%) than that among those who were not hospitalized (1,388 of 5,143, 27%). The most commonly reported conditions were diabetes mellitus, chronic lung disease, and cardiovascular disease. These preliminary findings suggest that in the United States, persons with underlying health conditions or other recognized risk factors for severe outcomes from respiratory infections appear to be at a higher risk for severe disease from COVID-19 than are persons without these conditions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Obesity is the comorbidity more strongly associated for Covid-19 in Mexico. A case-control study
Hernández-Garduño, E. (2020) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2020.06.001 · Cited by 161
Cited by
Extrapulmonary manifestations of COVID-19
Gupta, A., Madhavan, M. V., Sehgal, K., Nair, N., Mahajan, S., Sehrawat, T. S., Bikdeli, B., Ahluwalia, N., Ausiello, J. C., Wan, E. Y., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0968-3 · Cited by 3,185
Garg, S., Kim, L., Whitaker, M., O’Halloran, A., Cummings, C., Holstein, R., Prill, M., Chai, S. J., Kirley, P. D., Alden, N. B., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6915e3 · Cited by 2,335
Self-citationHospitalization and mortality among Black patients and White patients with Covid-19.
Price-Haywood, E. G., Burton, J., Fort, D., & Seoane, L. (2020) · New England Journal of Medicine · doi:10.1056/nejmsa2011686 · Cited by 1,660
Coronavirus disease 2019 case surveillance—United States, January 22–May 30, 2020.
Stokes, E. K., Zambrano, L. D., Anderson, K. N., Marder, E. P., Raz, K. M., El Burai Felix, S., Tie, Y., & Fullerton, K. E. (2020) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6924e2 · Cited by 1,538
SARS-CoV-2 Reverse Genetics Reveals a Variable Infection Gradient in the Respiratory Tract
Hou, Y. J., Okuda, K., Edwards, C. E., Martinez, D. R., Asakura, T., Dinnon, K. H., Kato, T., Lee, R. E., Yount, B. L., Mascenik, T. M., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.042 · Cited by 1,488
(2020) · doi:10.1016/s2214-109x(20)30264-3 · Cited by 1,190
Systems biological assessment of immunity to mild versus severe COVID-19 infection in humans
Arunachalam, P. S., Wimmers, F., Mok, C. K. P., Perera, R. A. P. M., Scott, M., Hagan, T., Sigal, N., Feng, Y., Bristow, L., Tak-Yin Tsang, O., et al. (2020) · Science · doi:10.1126/science.abc6261 · Cited by 1,186
Hall, G., Laddu, D. R., Phillips, S. A., Lavie, C. J., & Arena, R. (2021) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2020.04.005 · Cited by 804
Bode, B., Garrett, V., Messler, J., McFarland, R., Crowe, J., Booth, R., & Klonoff, D. C. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820924469 · Cited by 766
Smoking is associated with COVID-19 progression: a meta-analysis
Patanavanich, R., & Glantz, S. A. (2020) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntaa082 · Cited by 765
Brenner, E. J., Ungaro, R. C., Gearry, R. B., Kaplan, G. G., Kissous-Hunt, M., Lewis, J. D., Ng, S. C., Rahier, J.-F., Reinisch, W., Ruemmele, F. M., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.05.032 · Cited by 674
Kim, L., Garg, S., O’Halloran, A., Whitaker, M., Pham, H., Anderson, E. J., Armistead, I., Bennett, N. M., Billing, L., Como-Sabetti, K., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1012 · Cited by 649
Self-citationLiu, C.-Y., Yang, Y.-Z., Zhang, X.-M., Xu, X., Dou, Q.-L., Zhang, W.-W., & Cheng, A. S. K. (2020) · Epidemiology and Infection · doi:10.1017/s0950268820001107 · Cited by 549
Fix, O. K., Hameed, B., Fontana, R. J., Kwok, R. M., McGuire, B. M., Mulligan, D. C., Pratt, D. S., Russo, M. W., Schilsky, M. L., Verna, E. C., et al. (2020) · Hepatology · doi:10.1002/hep.31281 · Cited by 473
Coronavirus infections and type 2 diabetes-shared pathways with therapeutic implications
Drucker, D. J. (2020) · Endocrine Reviews · doi:10.1210/endrev/bnaa011 · Cited by 399
Predictors of adverse prognosis in COVID‐19: A systematic review and meta‐analysis
Figliozzi, S., Masci, P. G., Ahmadi, N., Tondi, L., Koutli, E., Aimo, A., Stamatelopoulos, K., Dimopoulos, M., Caforio, A. L. P., & Georgiopoulos, G. (2020) · European Journal of Clinical Investigation · doi:10.1111/eci.13362 · Cited by 361
Prevalence of comorbidities among individuals with COVID-19: A rapid review of current literature
Bajgain, K. T., Badal, S., Bajgain, B. B., & Santana, M. J. (2021) · American Journal of Infection Control · doi:10.1016/j.ajic.2020.06.213 · Cited by 328
COVID-19 and Inequity: a Comparative Spatial Analysis of New York City and Chicago Hot Spots
Maroko, A. R., Nash, D., & Pavilonis, B. T. (2020) · Journal of Urban Health · doi:10.1007/s11524-020-00468-0 · Cited by 242
Dorjee, K., Kim, H., Bonomo, E., & Dolma, R. (2020) · PLOS ONE · doi:10.1371/journal.pone.0243191 · Cited by 216
The Effect of the COVID-19 Pandemic on People with Parkinson’s Disease
Brown, E. G., Chahine, L. M., Goldman, S. M., Korell, M., Mann, E., Kinel, D. R., Arnedo, V., Marek, K. L., & Tanner, C. M. (2020) · Journal of Parkinson's Disease · doi:10.3233/jpd-202249 · Cited by 177
Obesity is the comorbidity more strongly associated for Covid-19 in Mexico. A case-control study
Hernández-Garduño, E. (2020) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2020.06.001 · Cited by 161
Artificial Intelligence for COVID-19: Rapid Review
(2020) · doi:10.2196/21476 · Cited by 160
Zandifar, A., Badrfam, R., Yazdani, S., Arzaghi, S. M., Rahimi, F., Ghasemi, S., Khamisabadi, S., Mohammadian Khonsari, N., & Qorbani, M. (2020) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-020-00667-1 · Cited by 154
Khera, A., Baum, S. J., Gluckman, T. J., Gulati, M., Martin, S. S., Michos, E. D., Navar, A. M., Taub, P. R., Toth, P. P., Virani, S. S., et al. (2020) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2020.100009 · Cited by 143
Keeping people with epilepsy safe during the COVID-19 pandemic
French, J. A., Brodie, M. J., Caraballo, R., Devinsky, O., Ding, D., Jehi, L., Jette, N., Kanner, A., Modi, A. C., Newton, C. R., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000009632 · Cited by 138
COVID-19 and Diabetes: A Collision and Collusion of Two Diseases
Feldman, E. L., Savelieff, M. G., Hayek, S. S., Pennathur, S., Kretzler, M., & Pop-Busui, R. (2020) · Diabetes · doi:10.2337/dbi20-0032 · Cited by 136
Evaluation of Pragmatic Telehealth Physical Therapy Implementation During the COVID-19 Pandemic
Miller, M. J., Pak, S. S., Keller, D. R., & Barnes, D. E. (2021) · Physical Therapy · doi:10.1093/ptj/pzaa193 · Cited by 106
Social determinants of mortality from COVID-19: A simulation study using NHANES
Seligman, B., Ferranna, M., & Bloom, D. E. (2021) · PLOS Medicine · doi:10.1371/journal.pmed.1003490 · Cited by 103
Type 2 diabetes mellitus and COVID-19: a narrative review
Corrao, S., Pinelli, K., Vacca, M., Raspanti, M., & Argano, C. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.609470 · Cited by 97
Karanasos, A., Aznaouridis, K., Latsios, G., Synetos, A., Plitaria, S., Tousoulis, D., & Toutouzas, K. (2020) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntaa107 · Cited by 95
Hwang, J.-M., Kim, J.-H., Park, J.-S., Chang, M. C., & Park, D. (2020) · Neurological Sciences · doi:10.1007/s10072-020-04541-z · Cited by 89
Investigating Ketone Bodies as Immunometabolic Countermeasures against Respiratory Viral Infections
Stubbs, B. J., Koutnik, A. P., Goldberg, E. L., Upadhyay, V., Turnbaugh, P. J., Verdin, E., & Newman, J. C. (2020) · Med · doi:10.1016/j.medj.2020.06.008 · Cited by 71
Early Intervention of Palliative Care in the Emergency Department During the COVID-19 Pandemic
Lee, J., Abrukin, L., Flores, S., Gavin, N., Romney, M.-L., Blinderman, C. D., & Nakagawa, S. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.2713 · Cited by 65
Khaksari, K., Nguyen, T., Hill, B. Y., Perrault, J., Gorti, V., Blick, E., Gonzalez Cano, T., Shadgan, B., Quang, T., Malpani, R., et al. (2021) · Journal of medical imaging · doi:10.1117/1.jmi.8.s1.010901 · Cited by 55
Sawalha, A. H., & Manzi, S. (2020) · European Journal of Rheumatology · doi:10.5152/eurjrheum.2020.20055 · Cited by 34
Ma, Y., Lu, D., Bao, L., Qu, Y., Liu, J., Qi, X., Yu, L., Zhang, X., Qi, F., Lv, Q., et al. (2021) · Animal Models and Experimental Medicine · doi:10.1002/ame2.12155 · Cited by 25
Vissers, M. F. J. M., Cohen, A. F., Van Gerven, J. M. A., & Groeneveld, G. J. (2021) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.14480 · Cited by 25
Attributed causes of excess mortality during the COVID-19 pandemic in a south Indian city
Lewnard, J. A., B, C. M., Kang, G., & Laxminarayan, R. (2023) · Nature Communications · doi:10.1038/s41467-023-39322-7 · Cited by 23
COVID-19 y enfermedad cardiovascular y renal: ¿Dónde estamos? ¿Hacia dónde vamos?
Pallarés Carratalá, V., Górriz-Zambrano, C., Morillas Ariño, C., Llisterri Caro, J. L., & Gorriz, J. L. (2020) · Medicina de Familia. SEMERGEN · doi:10.1016/j.semerg.2020.05.005 · Cited by 21
Porteny, T., Corlin, L., Allen, J. D., Monahan, K., Acevedo, A., Stopka, T. J., Levine, P., & Ladin, K. (2022) · BMC Public Health · doi:10.1186/s12889-022-12633-y · Cited by 14
Park, S. C., Won, S. Y., Kim, N. H., Choi, H., Youk, T. M., Lee, H. J., & Jeon, H. H. (2021) · Annals of Translational Medicine · doi:10.21037/atm-20-5958 · Cited by 10
Metadata
- Authors
- CDC COVID-19 Response Team, CDC COVID-19 Response Team, Chow, N., Fleming-Dutra, K., Gierke, R., Hall, A., Hughes, M., Pilishvili, T., Ritchey, M., Roguski, K., Skoff, T., & Ussery, E.
- Venue
- MMWR. Morbidity and Mortality Weekly Report
- Published
- 2020-04-03
- Volume
- 69
- Issue
- 13
- Pages
- 382-386
- ISSN
- 0149-2195 (ISSN-L)
- 1545-861X
- OpenAlex
- W3014493418
- Cited by
- 1,404
- References
- 2
- FWCI
- 39.90
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.