Special Issue "COVID-19 in North America: Clinical, Psychosocial, Laboratory, and Epidemiological Aspects"
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Health".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 62383
Interests: breastfeeding; COVID-19; health disparities; lead poisoning; infectious diseases
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Interests: cultural competency; multicultural psychology; emergency preparedness and psychology of disasters
Interests: clinical trials; program evaluation; global policies and programs; neonatal medicine; child and maternal health
Interests: African American; breast cancer; prostate cancer; epigenetics; genomics; cardiovascular; genetic epidemiology; biostatistics; statistical genetics
COVID-19 has emerged as a major pandemic affecting many countries and territories. Every day, the incidence and death rates due to COVID-19 are escalating in an exponential trend. The U.S. is the country most affected by this pandemic in the world. In this context, the editors of the International Journal of Environmental Research and Public Health (IJERPH) have initiated a Special Issue of the journal - COVID-19 in North America: Clinical, Psychosocial, Laboratory, and Epidemiological Aspects. IJERPH is a peer-reviewed open access scientific journal published by MDPI, with an impact factor of 3.390. As the name of the Special Issue suggests, the editors intend to make the focus of the Special Issue North America due to the current situation in these countries.
Type of articles: The editors welcome original articles, communications, case reports, and review articles (systematic review and meta-analysis) describing research findings on COVID-19 in the North American countries. The subject areas may include epidemiology, risk factors, the disease burden, societal impact, psychological effects, pathogenesis, immunology, microbiology, vaccines, clinical presentations, causes of death, autopsy findings, management, treatment algorithms, diagnostic scoring systems, clinical trials, machine learning, predictive models, etc.
Prof. Dr. Amal K. Mitra
Prof. Dr. Dawn Bishop McLins
Prof. Dr. Abdullah Baqui
Dr. Sarah Buxbaum
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Clinical (clinical presentations, complications, clinical trials)
- Psychosocial (stress, coping and resilience, mental health, social impact)
- Laboratory (virology, pathophysiology, immunology, vaccine trial)
- Public health (epidemiology, risk factors, KAP survey, modeling, GIS and remote sensing, machine learning, outreach programs, community interventions, health education etc.)