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      A bibliometric analysis of 47-years of research on public health in Peru

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          Abstract

          <b>Objectives</b>: To measure Peruvian scientific production on public health in Scopus database.<br /> <b>Methods</b>: Bibliometric study using advanced Scopus web search engine (https://www.scopus.com/search/<br /> form.uri?display=advanced). The inclusion criteria were the publications of articles related to public health between 1973 and 2020. The equation was used as a strategy: TITLE-ABS-CLAVE (“public health”) AND AFFILCOUNTRY (Peru) AND (EXCLUDE (PUBYEAR, 2021) OR EXCLUDE (PUBYEAR, 2020)). SCImago journal &amp; country rank was used to determine the impact factor (h-index) and the quartile of the journals identified. The analysis included in SPSS v24.0 included years of publication, institutions, h-index, list of authors with the most publications, publication types, and journals.<br /> <b>Results</b>: 903 articles published by 7.5±12.5 authors were included, showing that 74.5% were original articles written mainly in English (77.7%). The publications for the year 1973 and 2019 were 3 (0.3%) and 98 (10.9%), respectively. In addition, it was shown that the most productive institutions were the Universidad Peruana Cayetano Heredia (42.9%) and the Universidad Nacional Mayor de San Marcos (13.1%). The journal with the highest number of Peruvian publications was Revista Peruana de Medicina Experimental y Salud Pública (RPMESP) [Peruvian Journal of Experimental Medicine and Public Health (PJEMPH)] (17.5%) and PLoS ONE (2.88%).<br /> <b>Conclusions</b>: The present study showed in the magazines with the highest number of citations and therefore greater visualization, where Peruvian publications in this area were published, with this the future readers can take these magazines into consideration so that their publications have a greater visualization. In addition to this, the study shows the largest institutions that have a great impact on Peruvian publications in public health in Scopus, this invites researchers to analyze the research methodologies that these institutions follow in order to disclose them for reproduction in new entities interested in research.

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          Ethnicity and COVID-19: an urgent public health research priority

          As the coronavirus disease 2019 (COVID-19) pandemic continues advancing globally, reporting of clinical outcomes and risk factors for intensive care unit admission and mortality are emerging. Early Chinese and Italian reports associated increasing age, male sex, smoking, and cardiometabolic comorbidity with adverse outcomes. 1 Striking differences between Chinese and Italian mortality indicate ethnicity might affect disease outcome, but there is little to no data to support or refute this. Ethnicity is a complex entity composed of genetic make-up, social constructs, cultural identity, and behavioural patterns. 2 Ethnic classification systems have limitations but have been used to explore genetic and other population differences. Individuals from different ethnic backgrounds vary in behaviours, comorbidities, immune profiles, and risk of infection, as exemplified by the increased morbidity and mortality in black and minority ethnic (BME) communities in previous pandemics. 3 As COVID-19 spreads to areas with large cosmopolitan populations, understanding how ethnicity affects COVID-19 outcomes is essential. We therefore reviewed published papers and national surveillance reports on notifications and outcomes of COVID-19 to ascertain ethnicity data reporting patterns, associations, and outcomes. Only two (7%) of 29 publications reported ethnicity disaggregated data (both were case series without outcomes specific to ethnicity). We found that none of the ten highest COVID-19 case-notifying countries reported data related to ethnicity; UK mortality reporting, for example, does not require information on ethnicity. This omission seems stark given the disproportionate number of deaths among health-care workers from BME backgrounds.4, 5 Recent UK data from intensive care units indicate that over a third of patients are from BME backgrounds. 6 Given previous pandemic experience, it is imperative that policy makers urgently ensure ethnicity forms part of a minimum dataset. More importantly, ethnicity-disaggregated data must occur to permit identification of potential outcome risk factors through adjustment for recognised confounders. BME communities might be at increased risk of acquisition, disease severity, and poor outcomes in COVID-19 for several reasons (figure ). Specific ethnic groups, such as south Asians, have higher rates of some comorbidities, such as diabetes, hypertension, and cardiovascular diseases, which have been associated with severe disease and mortality in COVID-19. 7 Ethnicity could interplay with virus spread through cultural, behavioural, and societal differences including lower socioeconomic status, health-seeking behaviour, and intergenerational cohabitation. Disentangling the relative importance of these factors requires both prospective studies, focusing on quantifying absolute risks and outcomes, and qualitative studies of behaviours and responses to pandemic control messages. Figure The potential interaction of ethnicity related factors on SARS-CoV-2 infection likelihood and COVID-19 outcomes COVID-19=coronavirus disease 2019. SARS-CoV-2=severe acute respiratory syndrome coronavirus 2. If ethnicity is found to be associated with adverse COVID-19 outcomes, this must directly, and urgently, inform public health interventions globally.
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            Coverage analysis of Scopus: A journal metric approach

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              Is Open Access

              Data sharing for novel coronavirus (COVID-19)

              Rapid data sharing is the basis for public health action. The report from the 30 January 2020 International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (COVID-19) stressed the importance of the continued sharing of full data with the World Health Organization (WHO). The information disseminated through peer-reviewed journals and accompanying online data sets is vital for decision-makers. 1 – 3 For example, the release of full viral genome sequences through a public access platform and the polymerase chain reaction assay protocols that were developed as a result made it possible to accurately diagnose infections early in the current emergency. Deficiencies in data-sharing mechanisms – highlighted during the 2013–2016 Ebola virus disease outbreak in west Africa – brought the question of data access to the forefront of the global health agenda. 2 In September 2015, agreement was reached on the need for open sharing of data and results, especially in public health emergencies. 2 Subsequently, the International Committee of Medical Journal Editors confirmed that pre-publication dissemination of information critical to public health will not prejudice journal publication in the context of health emergencies declared by WHO. 4 Furthermore the committee stated that information critical for public health is to be shared with WHO before publication 5 – a commitment echoed by several leading journals in the context of the COVID-19 response. Efforts for expedited data and results reporting should not be limited to clinical trials, but should include observational studies, operational research, routine surveillance and information on the virus and its genetic sequences, as well as the monitoring of disease control programmes. To improve timely access to data in the context of the COVID-19 emergency the Bulletin of the World Health Organization will implement an “COVID-19 Open” data sharing and reporting protocol, which will apply during the current COVID-19 emergency. On submission to the Bulletin, all research manuscripts relevant to the coronavirus emergency will be assigned a digital object identifier and posted online in the “COVID-19 Open” collection within 24 hours while undergoing peer review. The data in these papers will thus be attributed to the authors while being freely available for unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited as indicated by the Creative Commons Attribution 3.0 Intergovernmental Organizations license (CC BY IGO 3.0). Should a paper be accepted by the Bulletin following peer review, this open access review period will be reported in the final publication. If a paper does not meet the journal’s requirements after peer review, authors will be free to seek publication elsewhere. If the authors of any paper posted with the Bulletin in this context are unable to obtain acceptance with a suitable journal, WHO undertakes to publish these papers in its institutional repository as citable working papers, independently of the Bulletin. The choice of a pre-print platform remains the sole discretion of the author. This early access to research manuscripts at WHO builds on examples of other rapid information access platforms such as PROMED and F1000Research. 5 , 6 Given the many unanswered questions on the reservoir, transmission, consequences and manifestations of COVID-19 infection and associated disease, our goal is to encourage all researchers to share their data as quickly and widely as possible. With this protocol for immediate online posting, we are providing another means to achieve immediate global access to relevant data. By submitting their studies to “COVID-19 Open,” researchers can share their data while meeting their need to retain authorship, document precedence and facilitate international scientific cooperation in the response to this emergency.
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                Journal
                Electronic Journal of General Medicine
                ELECTRON J GEN MED
                Modestum Ltd
                2516-3507
                2023
                July 01 2023
                : 20
                : 4
                : em488
                Article
                10.29333/ejgm/13103
                944300db-eae9-41cd-9e8a-1dcf9b2f6df5
                © 2023
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