The DOI matches its Crossref record; 73 of the 74 references it cites were found in a registry or an index.
Prevalence of comorbidities among individuals with COVID-19: A rapid review of current literature
Open accessAbstract
Introduction On February 11, 2020 WHO designated the name "COVID-19" for the disease caused by "severe acute respiratory syndrome coronavirus 2" (SARS-CoV-2), a novel virus that quickly turned into a global pandemic. Risks associated with acquiring the virus have been found to most significantly vary by age and presence of underlying comorbidity. In this rapid literature review we explore the prevalence of comorbidities and associated adverse outcomes among individuals with COVID-19 and summarize our findings based on information available as of May 15, 2020.Methods A comprehensive systematic search was performed on PubMed, Medline, Scopus, Embase, and Google Scholar to find articles published until May 15, 2020. All relevant articles providing information on PCR tested COVID-19 positive patient population with clinical characteristics and epidemiological information were selected for review and analysis.Results A total of 27 articles consisting of 22,753 patient cases from major epicenters worldwide were included in the study. Major comorbidities seen in overall population were CVD (8.9%), HTN (27.4%), Diabetes (17.4%), COPD (7.5%), Cancer (3.5%), CKD (2.6%), and other (15.5%). Major comorbidity specific to countries included in the study were China (HTN 39.5%), South Korea (CVD 25.6%), Italy (HTN 35.9%), USA (HTN 38.9%), Mexico, (Other 42.3%), UK (HTN 27.8%), Iran (Diabetes 35.0%). Within fatal cases, an estimated 84.1% had presence of one or more comorbidity. Subgroup analysis of fatality association with having comorbidity had an estimated OR 0.83, CI [0.60-0.99], p<0.05.Conclusions Based on our findings, hypertension followed by diabetes and cardiovascular diseases were the most common comorbidity seen in COVID-19 positive patients across major epicenters world-wide. Although having one or more comorbidity is linked to increased disease severity, no clear association was found between having these risk factors and increased risk of fatality.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“data from Wuhan, China showed that age was the primary risk factor associated with COVID-19 progression to acute respiratory distress syndrome (ARDS) and end-organ failure7”
From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [10]
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
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
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
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Zhang, Q., Wang, C., Zheng, M., Li, Y., Li, J., Zhang, L., Shang, X., & Yan, C. (2014) · Cerebrovascular Diseases · doi:10.1159/000369778 · Cited by 11,609
Research works printed but not linked: 9
- Age, 2020, Existing Conditions of COVID-19 Cases and deaths, WorldoMeter
- 2020, COVID-19 world map and mortality analysis, John Hopkins University
- 2020, Predicting the next phase of the covid-19 epidemic: changes in human behavior, Institute for Health Metrics and Evaluation
- McIntosh, 2020, Coronavirus disease 2019 (COVID-19): Epidemiology, virology, clinical features, diagnosis, and prevention, In:UpToDate
- 2020, Preliminary estimates of the prevalence of selected underlying health conditions among patients with coronavirus disease 2019, MMWR Morb Mortal Wkly Rep
- 2020, Coronavirus disease 2019 (COVID-19) in the EU/EEA and the UK – eighth update, European Center for Disease Prevention and Control
- Bommer, 2020, CDC offers guidance to patients with chronic disease 'living with uncertainty' during COVID-19, Healio Rheumatology
- Mandal, 2020, What happens when COVID-19 and cardiovascular diseases mix, Lifesciences
- Yang, 2020, Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis, Int J Infect Dis, 94, 91, 10.1016/j.ijid.2020.03.017 · DOI · Paper page
Cited by
Sorted by citations
COVID-19 vaccines: The status and perspectives in delivery points of view
Chung, J. Y., Thone, M. N., & Kwon, Y. J. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.12.011 · Cited by 375
SARS-CoV-2, COVID-19 and the aging immune system
Bartleson, J. M., Radenkovic, D., Covarrubias, A. J., Furman, D., Winer, D. A., & Verdin, E. (2021) · Nature Aging · doi:10.1038/s43587-021-00114-7 · Cited by 359
Racial Disparities in Incidence and Outcomes Among Patients With COVID-19
Munoz-Price, L. S., Nattinger, A. B., Rivera‐Buendía, F., Hanson, R., Gmehlin, C. G., Perez, A., Singh, S., Buchan, B. W., Ledeboer, N. A., & Pezzin, L. E. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.21892 · Cited by 358
HDL-scavenger receptor B type 1 facilitates SARS-CoV-2 entry
Wei, C., Wan, L., Yan, Q., Wang, X., Zhang, J., Yang, X., Zhang, Y., Chen, F., Li, D., Deng, Y., et al. (2020) · Nature Metabolism · doi:10.1038/s42255-020-00324-0 · Cited by 292
Thakur, B., Dubey, P., Benitez, J., Torres, J. P., Reddy, S., Shokar, N., Aung, K., Mukherjee, D., & Dwivedi, A. K. (2021) · Scientific Reports · doi:10.1038/s41598-021-88130-w · Cited by 284
Kendzerska, T., Zhu, D. T., Gershon, A. S., Edwards, J. D., Peixoto, C., Robillard, R., & Kendall, C. (2021) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s293471 · Cited by 289
Eberle, C., & Stichling, S. (2021) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-021-00705-9 · Cited by 181
Long-Term Outcomes of Patients with Coronavirus Disease 2019 at One Year after Hospital Discharge
Maestre-Muñiz, M. M., Arias, Á., Vázquez, E. M., Martín-Toledano, M., López‐Larramona, G., Ruíz-Chicote, A. M., Nieto-Sandoval, B., & Lucendo, A. J. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10132945 · Cited by 176
Badal, S., Bajgain, K. T., Badal, S., Thapa, R., Bajgain, B. B., & Santana, M. (2020) · Journal of Clinical Virology · doi:10.1016/j.jcv.2020.104715 · Cited by 162
Self-citationCOVID–19 and chronic kidney disease: an updated overview of reviews
Jdiaa, S. S., Mansour, R., Alayli, A. E., Gautam, A., Thomas, P., & Mustafa, R. A. (2022) · Journal of Nephrology · doi:10.1007/s40620-021-01206-8 · Cited by 151
Xiao, J., Cheung, J. K., Wu, P., Ni, M. Y., Cowling, B. J., & Liao, Q. (2022) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2022.100441 · Cited by 146
Covid-19 and non-communicable diseases: evidence from a systematic literature review
Nikoloski, Z., Alqunaibet, A., Alfawaz, R. A., Almudarra, S., Herbst, C. H., El-Saharty, S., Alsukait, R. F., & Algwizani, A. R. (2021) · BMC Public Health · doi:10.1186/s12889-021-11116-w · Cited by 136
Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction
Karthikeyan, A., Garg, A., Vinod, P. K. U., & Priyakumar, U. D. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.626697 · Cited by 125
Yang, L., Chai, P., Yu, J., & Fan, X. (2021) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2020.0559 · Cited by 117
Call for Action to Address Equity and Justice Divide During COVID-19
Bhaskar, S. M. M., Rastogi, A., Valsraj, K. M., Kunheri, B., Balakrishnan, S., & Howick, J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.559905 · Cited by 100
COVID-19 in People Living with HIV: A Systematic Review and Meta-Analysis
Lee, K. W., Yap, S. F., Ngeow, Y. F., & Lye, M. S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18073554 · Cited by 93
Hayden, M. C., Limbach, M., Schüler, M., Merkl, S., Schwarzl, G., Jakab, K., Nowak, D., & Schultz, K. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18179001 · Cited by 98
The fractional-order discrete COVID-19 pandemic model: stability and chaos
Abbes, A., Ouannas, A., Shawagfeh, N. T., & Jahanshahi, H. (2022) · Nonlinear Dynamics · doi:10.1007/s11071-022-07766-z · Cited by 92
Alyammahi, S. K., Abdin, S. M., Alhamad, D. W., Elgendy, S. M., Altell, A. T., & Omar, H. A. (2020) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2020.104647 · Cited by 84
Tang, S., Ren, J., Kong, L., Yan, G., Liu, C., Han, Y. M., Hui, S., & Wang, X. (2023) · Molecules · doi:10.3390/molecules28020663 · Cited by 72
Rahman, M. A., Shanjana, Y., Tushar, M. I., Mahmud, T., Rahman, G. M. S., Milan, Z. H., Sultana, T., Chowdhury, A. M. L. H., Bhuiyan, M. A., Islam, M. R., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255379 · Cited by 71
Binder, M. D., Mazereel, V., Stroobants, M., Picker, L. D., Assche, K. V., & Detraux, J. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.798554 · Cited by 69
Immunosenescence and inflamm-ageing in COVID-19
Zinatizadeh, M. R., Zarandi, P. K., Ghiasi, M., Kooshki, H., Mohammadi, M., Amani, J., & Rezaei, N. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101818 · Cited by 69
Huyut, M. T., & Üstündağ, H. (2022) · Medical Gas Research · doi:10.4103/2045-9912.326002 · Cited by 62
Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
El-Rashidy, N. M., Abdelrazek, S. M., Abuhmed, T., Amer, E., Ali, F., Hu, J. W., & El–Sappagh, S. (2021) · Diagnostics · doi:10.3390/diagnostics11071155 · Cited by 62
Waris, A., Din, M., Khalid, A., Lail, R. A., Shaheen, A., Khan, N., Nawaz, M., Baset, A., Ahmad, I., & Ali, M. (2021) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.23809 · Cited by 62
The effect of the Caputo fractional difference operator on a new discrete COVID-19 model
Abbes, A., Ouannas, A., Shawagfeh, N. T., & Grassi, G. (2022) · Results in Physics · doi:10.1016/j.rinp.2022.105797 · Cited by 54
Kumar, A., Kodidela, S., Tadrous, E., Cory, T. J., Walker, C. M., Smith, A. M., Mukherjee, A., & Kumar, S. (2020) · Viruses · doi:10.3390/v12080887 · Cited by 49
Ghosh, S., Das, S., Ahmad, I., & Patel, H. (2021) · Journal of the Indian Chemical Society · doi:10.1016/j.jics.2021.100272 · Cited by 48
Comorbidities of COVID-19 Patients
Silaghi-Dumitrescu, R. L., Patrascu, I., Lehene, M., & Bercea, I. (2023) · Medicina · doi:10.3390/medicina59081393 · Cited by 61
Comorbidities and outcomes among patients hospitalized with COVID-19 in Upper Egypt
Khedr, E. M., Daef, E., Hussein, A. A. R. M., Mostafa, E. F. A., Zein, M., Hassany, S. M., Galal, H., Hassan, S. A., Galal, I., Zarzour, A. A., et al. (2022) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-022-00530-5 · Cited by 45
Barış, S. A., Boyacı, H., Akhan, S., Mutlu, B., Deniz, M., & Başyiğit, İ. (2022) · Turkish Thoracic Journal · doi:10.5152/turkthoracj.2022.21076 · Cited by 44
Mir, R., Mir, R., Alghamdi, M. A. A., Alsayed, B. A., Wani, J. I., Alharthi, M. H., & Alshahrani, A. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11111098 · Cited by 45
Rahim, F., Amin, S., Noor, M. S., Bahadur, S., Gul, H., Mahmood, A., Usman, M., Khan, M. A., Ullah, R., & Shahab, K. (2020) · Cureus · doi:10.7759/cureus.10906 · Cited by 41
Lan, X.-F., Olaleye, O. E., Lu, J.-L., Yang, W., Du, F., Yang, J., Cheng, C., Shi, Y.-H., Wang, F., Zeng, X.-S., et al. (2021) · Acta Pharmacologica Sinica · doi:10.1038/s41401-021-00651-2 · Cited by 41
Can Artemisia herba-alba Be Useful for Managing COVID-19 and Comorbidities?
Hasan, A., Biswas, P., Bondhon, T. A., Jannat, K., Paul, T. K., Paul, A. K., Jahan, R., Nissapatorn, V., Mahboob, T., Wilairatana, P., et al. (2022) · Molecules · doi:10.3390/molecules27020492 · Cited by 40
Alle, S., Kanakan, A., Siddiqui, S., Garg, A., Karthikeyan, A., Mehta, P., Mishra, N., Chattopadhyay, P., Devi, P., Waghdhare, S., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0264785 · Cited by 35
Democracy and case fatality rate of COVID-19 at early stage of pandemic: a multicountry study
Yao, L., Li, M., Wan, J. Y., Howard, S. C., Bailey, J. E., & Graff, J. C. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16250-x · Cited by 34
COVID-19: The Immune Responses and Clinical Therapy Candidates
Zhand, S., Jazi, M. S., Mohammadi, S., Rasekhi, R. T., Rostamian, G., Kalani, M. R., Rostamian, A., George, J., & Douglas, M. W. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21155559 · Cited by 35
Mirjalili, H., Dastgheib, S. A., Shaker, S. H., Bahrami, R., Mazaheri, M., Sadr-Bafghi, S. M. H., Sadeghizadeh‐Yazdi, J., & Neámatzadeh, H. (2021) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-021-00768-5 · Cited by 32
Sharifi, Y., Payab, M., Mohammadi‐Vajari, E., Aghili, S. M. M., Sharifi, F., Mehrdad, N., Kashani, E., Shadman, Z., Larijani, B. A., & Ebrahimpur, M. (2021) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-021-00822-2 · Cited by 32
Htun, Y. M., Win, T. T., Aung, A., Latt, T. Z., Phyo, Y. N., Tun, T. M., Htun, N. S., Tun, K. M., & Htun, K. A. (2021) · Tropical Medicine and Health · doi:10.1186/s41182-021-00353-9 · Cited by 30
Hoque, M. N., Sarkar, M. M. H., Khan, M. A., Hossain, M. A., Hasan, M. I., Rahman, M. H., Habib, M. A., Akter, S., Banu, T. A., Goswami, B., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.918692 · Cited by 32
Lang, J. J., Narendrula, A., Iyer, S., Zanotti, K. M., Sindhwani, P., Mossialos, E. A., & Ekwenna, O. (2022) · Cancer Medicine · doi:10.1002/cam4.5270 · Cited by 29
Magalhães, N. S., Savino, W., Silva, P., Martins, M. A., & Carvalho, V. F. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.644751 · Cited by 30
Rahayu, L. A. D., Admiyanti, J. C., Khalda, Y. I., Ahda, F. R., Agistany, N. F. F., Setiawati, S., Shofiyanti, N. I., & Warnaini, C. (2021) · JIMKI Jurnal Ilmiah Mahasiswa Kedokteran Indonesia · doi:10.53366/jimki.v9i1.342 · Cited by 28
Vasheghani, M., Jannati, N., Baghaei, P., Rezaei, M. S., Aliyari, R., & Marjani, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-97017-9 · Cited by 27
SARS2 simplified scores to estimate risk of hospitalization and death among patients with COVID-19
Dashti, H., Roche, E. C., Bates, D. W., Mora, S., & Demler, O. (2021) · Scientific Reports · doi:10.1038/s41598-021-84603-0 · Cited by 27
Telemedical Approaches to Managing Gestational Diabetes Mellitus During COVID-19: Systematic Review
Eberle, C., & Stichling, S. (2021) · JMIR Pediatrics and Parenting · doi:10.2196/28630 · Cited by 26
Risk Factors for COVID-19 Morbidity and Mortality in Institutionalised Elderly People
Agoües, A. B., Gallego, M. S., Resa, R. H., Llorente, B. J., Arabi, M. L., Rodriguez, J. O., Acebal, H. P., Hernández, M. C., Ayala, I. C., Calero, P. P., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph181910221 · Cited by 27
SARS-CoV-2 in diabetic pregnancies: a systematic scoping review
Eberle, C., James-Todd, T. M., & Stichling, S. (2021) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-021-03975-3 · Cited by 26
Mehri, A., Ghorbani, S. S., Farhadi-Babadi, K., Rahimi, E., Barati, Z., Taherpour, N., Izadi, N., Shahbazi, F., Mokhayeri, Y., Seifi, A., et al. (2023) · Journal of Intensive Care Medicine · doi:10.1177/08850666231166344 · Cited by 25
The Burden of Cardiovascular Diseases Due to COVID-19 Pandemic
Hussain, M. S., & Sharma, G. N. (2022) · The Thoracic and Cardiovascular Surgeon · doi:10.1055/s-0042-1755205 · Cited by 25
Nain, Z., BARMAN, S. K., Sheam, M. M., Syed, S. B., Samad, A., Quinn, J. M. W., Karim, M. M., Himel, M. K., Roy, R. K., Moni, M. A., et al. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab197 · Cited by 22
Association of Apolipoprotein e polymorphism with SARS-CoV-2 infection
Al-Jaf, S. M. A., Niranji, S. S., Ali, H. N., & Mohammed, O. A. (2021) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2021.105043 · Cited by 22
Norouzi, N., & Asadi, Z. (2021) · Environmental Research · doi:10.1016/j.envres.2021.112020 · Cited by 21
Song, R. J., Ho, Y.-L. A., Schubert, P. L., Park, Y., Posner, D. C., Lord, E. M., Costa, L., Gerlovin, H., Kurgansky, K. E., Anglin-Foote, T. R., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251651 · Cited by 20
The Effects of the COVID-19 Pandemic on the Elderly: A Systematic Review
Moradi, M., Navab, E., Sharifi, F., Namadi, B., & Rahimidoost, M. (2021) · Salmand · doi:10.32598/sija.16.1.3106.1 · Cited by 20
Ong, A. N., Tan, C. C., Cañete, M. T. A., Lim, B. A., & Robles, J. (2021) · Journal of the ASEAN Federation of Endocrine Societies · doi:10.15605/jafes.036.02.20 · Cited by 20
Anantharaj, A., Gujjar, S., Kumar, S., Verma, N., Wangchuk, J., Khan, N. A., Panwar, A., Kanakan, A., Vivekanand, A., Vasudevan, J. S., et al. (2021) · Journal of Clinical Virology · doi:10.1016/j.jcv.2021.105060 · Cited by 19
Liu, M., Mei, K., Tan, Z., Huang, S., Liu, F., Deng, C., Ma, J., Yu, P., & Liu, X. (2022) · Canadian Journal of Gastroenterology and Hepatology · doi:10.1155/2022/7235860 · Cited by 20
Blood Urea Nitrogen/Albumin Ratio and Mortality Risk in Patients with COVID-19
Singh, K., & Singh, S. (2022) · Indian Journal of Critical Care Medicine · doi:10.5005/jp-journals-10071-24150 · Cited by 20
Almulhim, T. S., & Barahona, I. (2022) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2022.101435 · Cited by 20
Ma, C., Tu, D., Gu, J., Xu, Q., Hou, P., Wu, H. Y., Guo, Z., Bai, Y., Zhao, X., & Li, P. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.757799 · Cited by 19
Mathematical modelling of COVID-19 transmission dynamics in a partially comorbid community
Ssebuliba, J., Nakakawa, J. N., Ssematimba, A., & Mugisha, J. (2021) · Partial Differential Equations in Applied Mathematics · doi:10.1016/j.padiff.2021.100212 · Cited by 19
Karuna, S., Gallardo-Cartagena, J. A., Theodore, D., Hunidzarira, P., Montenegro-Idrogo, J. J., Hu, J., Jones, M., Kim, V., Grecca, R. D. L., Trahey, M., et al. (2023) · Journal of Global Health · doi:10.7189/jogh.13.06020 · Cited by 19
Jabłońska, B., Szmigiel, P., Wosiewicz, P., Baron, J., Szczęsny-Karczewska, W., & Mrowiec, S. (2022) · Medicine · doi:10.1097/md.0000000000030098 · Cited by 18
MUC22, HLA-A, and HLA-DOB variants and COVID-19 in resilient super-agers from Brazil
Castelli, E. C., de Castro, M. V., Naslavsky, M. S., Scliar, M. O., Silva, N. D. S. B., Pereira, R. N., Ciríaco, V. A. D. O., Castro, C. F. B., Mendes‐Junior, C. T., Silveira, E. D. S., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.975918 · Cited by 18
Cardiovascular Disease Complicating COVID-19 in the Elderly
Dayaramani, C., Leon, J. D., & Reiss, A. B. (2021) · Medicina · doi:10.3390/medicina57080833 · Cited by 16
Lee, A. C., Li, W. T., Apostol, L., Ma, J., Taub, P. R., Chang, E. Y., Rajasekaran, M. R., & Ongkeko, W. M. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.06.038 · Cited by 16
Kowalska, M., Niewiadomska, E., Barański, K., Kaleta-Pilarska, A. P., Brożek, G. M., & Zejda, J. E. (2021) · Vaccines · doi:10.3390/vaccines9050415 · Cited by 15
COVID‐19 effect on patients with noncommunicable diseases: A narrative review
Al-Qudimat, A. R., Darwish, M. B. A., Elaarag, M., Al‐Zoubi, R. M., Rejeb, M. A., Ojha, L. K., Nashwan, A. J., Alshunag, T., Turk-Adawi, K. I., Omri, A. E., et al. (2022) · Health Science Reports · doi:10.1002/hsr2.995 · Cited by 14
Predictors of severe COVID-19 in a registry-based Swedish cohort of patients with COPD
Stridsman, C., Vanfleteren, L. E. G. W., Konradsen, J. R., Fisk, S. A., Pedroletti, C., Sjöö, Y., Syk, J., Sterner, T., Lindberg, A., Tunsäter, A., et al. (2021) · European Respiratory Journal · doi:10.1183/13993003.01920-2021 · Cited by 15
Pustahija, T., Ristić, M., Medić, S., Vuković, V., Štrbac, M., Rajčević, S., Patić, A., & Petrović, V. (2021) · PLoS ONE · doi:10.1371/journal.pone.0261840 · Cited by 15
Hayden, M. C., Limbach, M., Schüler, M., Merkl, S., Schwarzl, G., Jakab, K. T., Nowak, D., & Schultz, K. (2021) · Research Square · doi:10.21203/rs.3.rs-578230/v1 · Cited by 15
Barletta, W. A. (2022) · JMIRx Med · doi:10.2196/32935 · Cited by 11
SARS-CoV-2 in brief: from virus to prevention
Karami, H., Karimi, Z., & Karami, N. (2022) · Osong Public Health and Research Perspectives · doi:10.24171/j.phrp.2022.0155 · Cited by 14
Senewe, F. P., Pracoyo, N. E., Marina, R., Letelay, A. M., & Sulistiyowati, N. (2021) · Jurnal Ekologi Kesehatan · doi:10.22435/jek.v20i2.5114 · Cited by 14
Hassan, A., Khan, T., & Alromema, N. A. (2022) · Diagnostics · doi:10.3390/diagnostics12071604 · Cited by 16
Murewanhema, G., Burukai, T. V., Mazingi, D., Maunganidze, F., Mufunda, J., Munodawafa, D., & Pote, W. (2020) · PubMed Central · doi:10.11604/pamj.supp.2020.37.33.25835 · Cited by 13
Drug Interactions for Patients with Respiratory Diseases Receiving COVID-19 Emerged Treatments
Spanakis, M., Patelarou, A. E., Patelarou, E., & Tzanakis, Ν. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182111711 · Cited by 14
Tsukamoto, S., Wakui, H., Azushima, K., Yamaji, T., Urate, S., Suzuki, T., Abe, E., Tanaka, S., Taguchi, S., Yamada, T., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-96294-8 · Cited by 13
COVID-19 MORTALITY IN NEW YORK CITY ACROSS NEIGHBORHOODS BY RACE, ETHNICITY, AND NATIVITY STATUS
Friedman, S., & Lee, J.-W. (2021) · Geographical Review · doi:10.1080/00167428.2021.1951118 · Cited by 12
Aljarba, N. H., Hasnain, M. S., Bin-Meferij, M. M., & Alkahtani, S. H. (2022) · Journal of King Saud University - Science · doi:10.1016/j.jksus.2022.102214 · Cited by 12
Attitudes of Spanish hospital staff towards COVID-19 vaccination and vaccination rates
Mena, G., Blanco, B., Casas, I., Sánchez, M. A. H., Sánchez, M.-A., Auñón, M., Viñas, J., & Esteve, M. G. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257002 · Cited by 10
Perkins, D. J., Yingling, A. V., Cheng, Q., Castillo, A., Martinez, J., Bradfute, S. B., Leng, S., Edwards, J. S., Guo, Y., MERTZ, G. J., et al. (2022) · Experimental Biology and Medicine · doi:10.1177/15353702221091180 · Cited by 11
CALMS: Modelling the long-term health and economic impact of Covid-19 using agent-based simulation
Mintram, K. S., Anagnostou, A., Anokye, N., Okine, E., Groen, D., Saha, A., Abubakar, N. T., Islam, T., Daroge, H., Ghorbani, M., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0272664 · Cited by 13
Elsea, S. H., Razjouyan, J., Lee, K. M., Lynch, J. A., Martini, S. R., & Pandit, L. M. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.5626 · Cited by 11
Rohilla, K. K., Kalyani, C. V., Gupta, S., Gupta, A., & Gupta, M. (2021) · Clinical Practice and Epidemiology in Mental Health · doi:10.2174/1745017902117010280 · Cited by 11
Shuipys, T., & Montazeri, N. (2022) · Methods and Protocols · doi:10.3390/mps5010005 · Cited by 10
COVID-19 management in patients with comorbid conditions
Sanyaolu, A. O., Okorie, C., Marinkovic, A., Prakash, S., Balendra, V., Lehachi, A., Abbasi, A. F., Haider, N., Abioye, A. O., Orish, V. N., et al. (2025) · World Journal of Virology · doi:10.5501/wjv.v14.i2.102674 · Cited by 10
Zhu, J., Wei, Z., Suryavanshi, M. S., Chen, X., Xia, Q., Jiang, J. Z., Ayodele, O. A., Bradbury, B. D., Brooks, C. G., Brown, C., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-051588 · Cited by 10
The Intersections of Pandemic, Public Policy and Social Inequality in the United States
Doetter, L. F., Preuß, B., & Frisina, P. G. (2021) · Forum for Social Economics · doi:10.1080/07360932.2021.1967182 · Cited by 10
Baral, P. K., Aziz, M. A., & Islam, M. S. (2022) · Health Science Reports · doi:10.1002/hsr2.789 · Cited by 9
Drug-Drug Interactions among Patients Hospitalized with COVID-19 in Greece
Spanakis, M., Ιωάννου, Π., Tzalis, S., Papakosta, V., Patelarou, E., Tzanakis, N., Patelarou, A. E., & Kofteridis, D. P. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11237172 · Cited by 9
Wapekeka’s COVID-19 Response: A Local Response to a Global Pandemic
Loukes, K. A., Anderson, S., Beardy, J., Rondeau, M. C., & Robidoux, M. A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191811562 · Cited by 9
Göktuğ, A. Y., Güngör, A., Öz, F. N., Akelma, A. Z., Güneylioğlu, M. M., Yaradılmış, R. M., Bodur, İ., Öztürk, B., Tekeli, A., Karacan, C. D., et al. (2021) · Journal of Tropical Pediatrics · doi:10.1093/tropej/fmab066 · Cited by 9
Keller, M., Shreffler, J. R., Wilmes, K., Polites, A., & Huecker, M. R. (2021) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2021.09.057 · Cited by 9
Léger, C., Deslauriers, F., Boucher, V. G., Phillips, M., Bacon, S., & Lavoie, K. (2023) · Vaccines · doi:10.3390/vaccines11020291 · Cited by 9
Health-Related Quality of Life of Moroccan COVID-19 Survivors: A Case-Control Study
Azizi, A., Achak, D., Saad, E., Hilali, A., Nejjari, C., Khalis, M., Youlyouz‐Marfak, I., & Marfak, A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148804 · Cited by 8
Metadata
- Authors
- Bajgain, K. T., Badal, S., Bajgain, B. B., & Santana, M. J.
- Affiliations
- University of Minnesota (US)
- University of Calgary (CA)
- Corresponding author
- Bajgain, Bishnu B.
- Venue
- American Journal of Infection Control
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 49
- Issue
- 2
- Pages
- 238-246
- ISSN
- 0196-6553 (ISSN-L)
- PMC
- PMC7351042
- OpenAlex
- W3042070402
- Cited by
- 328
- References
- 74
- Citations by year
- 2026: 8 · 2025: 17 · 2024: 23 · 2023: 57 · 2022: 105 · 2021: 102
- FWCI
- 3.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Infection Control (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Libraries and Cultural Resources (University of Calgary) (submittedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Clinical Neurology › Long-Term Effects of COVID-19
- Keywords
- COVID-19 pandemic, SARS-CoV-2, comorbidities, hypertension, diabetes mellitus, cardiovascular disease, chronic obstructive pulmonary disease, chronic kidney disease, cancer, COVID-19 mortality, disease severity, risk factors
- MeSH terms
- COVID-19, SARS-CoV-2, Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Diabetes Mellitus, Female, Humans, Hypertension, Male, Middle Aged, Neoplasms, Global Health, Comorbidity, Prevalence, Pulmonary Disease, Chronic Obstructive, Renal Insufficiency, Chronic, Young Adult
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