Symptomatology associated with the diffusion of the SARS-CoV-2 Lambda variant in Peru: An infodemiologic analysis

Henry, Brandon Michael; Oliveira, Maria Helena Santos de; Oliveira, Thais Barbosa de; Notarte, Kin Israel; Lippi, Giuseppe

doi:10.1101/2021.08.24.21262245

Cited by 2 publications

(2 citation statements)

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“…In addition to common COVID-19 symptoms, the Lambda variant is associated with diarrhea, a symptom that had not been seen before, while there were no other gastrointestinal symptoms such as nausea or vomiting [75].…”

Section: Pathogenesis Of Omicron Variantmentioning

confidence: 84%

SARS-CoV-2: phenotype, genotype, and characterization of different variants

et al. 2022

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of coronavirus disease 2019 (COVID-19), a major international public health concern. Because of very similar amino acid sequences of the seven domain names, SARS-CoV-2 belongs to the Coronavirinae subfamily of the family Coronaviridae, order Nidovirales, and realm Riboviria, placed in exceptional clusters, but categorized as a SARS-like species. As the RNA virus family with the longest genome, the Coronaviridae genome consists of a single strand of positive RNA (25–32 kb in length). Four major structural proteins of this genome include the spike (S), membrane (M), envelope (E), and the nucleocapsid (N) protein, all of which are encoded within the 3′ end of the genome. By engaging with its receptor, angiotensin-converting enzyme 2 (ACE2), SARS-CoV-2 infects host cells. According to the most recent epidemiological data, as the illness spread globally, several genetic variations of SARS-CoV-2 appeared quickly, with the World Health Organization (WHO) naming 11 of them. Among these, seven SARS-CoV-2 subtypes have received the most attention. Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), and Omicron (B.1.617.2) are now designated as variations of concern (VOC) (B.1.1.529). Lambda (C.37) and Mu are variations of interest (VOI) (B.1.621). The remaining six are either being monitored or are no longer considered a threat. On the basis of studies done so far, antiviral drugs, antibiotics, glucocorticoids, recombinant intravenous immunoglobulin, plasma therapy, and IFN-α2b have been used to treat patients. Moreover, full vaccination is associated with lower infection and helps prevent transmission, but the risk of infection cannot be eliminated completely in vaccinated people.

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Section: Pathogenesis Of Omicron Variantmentioning

confidence: 84%

SARS-CoV-2: phenotype, genotype, and characterization of different variants

et al. 2022

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“…The general public has formed the habit of searching the Internet for information about the COVID-19 pandemic, prevention methods, drug purchases, and the effect of vaccines (7)(8)(9). Accordingly, there has been an increasing public search for and interest in vaccines, from routine ones, such as HPV (10)(11)(12)(13)(14)(15)(16)(17)(18), HIV (19-22), and polio (23-28), to those that are promoted during pandemics, such as SARS (29)(30)(31)(32), H1N1 (33-40), and COVID-19 (41-52). How to determine public concerns about vaccines is becoming the focus of research in government and medical system decision-making.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China

Qiu

Xia

et al. 2022

Front. Public Health

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Since the outbreak of Coronavirus Disease 2019 (COVID-19), the Chinese government has taken a number of measures to effectively control the pandemic. By the end of 2021, China achieved a full vaccination rate higher than 85%. The Chinese Plan provides an important model for the global fight against COVID-19. Internet search reflects the public's attention toward and potential demand for a particular thing. Research on the spatiotemporal characteristics of online attention to vaccines can determine the spatiotemporal distribution of vaccine demand in China and provides a basis for global public health policy making. This study analyzes the spatiotemporal characteristics of online attention to vaccines and their influencing factors in 31 provinces/municipalities in mainland China with Baidu Index as the data source by using geographic concentration index, coefficient of variation, GeoDetector, and other methods. The following findings are presented. First, online attention to vaccines showed an overall upward trend in China since 2011, especially after 2016. Significant seasonal differences and an unbalanced monthly distribution were observed. Second, there was an obvious geographical imbalance in online attention to vaccines among the provinces/municipalities, generally exhibiting a spatial pattern of “high in the east and low in the west.” Low aggregation and obvious spatial dispersion among the provinces/municipalities were also observed. The geographic distribution of hot and cold spots of online attention to vaccines has clear boundaries. The hot spots are mainly distributed in the central-eastern provinces and the cold spots are in the western provinces. Third, the spatiotemporal differences in online attention to vaccines are the combined result of socioeconomic level, socio-demographic characteristics, and disease control level.

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Symptomatology associated with the diffusion of the SARS-CoV-2 Lambda variant in Peru: An infodemiologic analysis

Cited by 2 publications

References 10 publications

SARS-CoV-2: phenotype, genotype, and characterization of different variants

SARS-CoV-2: phenotype, genotype, and characterization of different variants

Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China

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