Age and gender distribution of COVID-19 infected cases in Italian population

Arisi, Ivan; Mantuano, Elide

doi:10.21203/rs.3.rs-72021/v1

Cited by 8 publications

(11 citation statements)

References 14 publications

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“…Some data allowed us investigating the vulnerability to SARS-CoV-2 infection, which is influenced by several factors, as social, biological, economic, and cultural. Analysis suggests that vulnerability to SARS-CoV-2 infection has a dependence on gender and age, which is consistent with previous related works (6)(7)(8)10,12,(16)(17)(18); however, the found association is weak. We identified the males as the most vulnerable gender and the population aged between 70 and 79 years old as the age group with the higher vulnerability (no matter the gender).…”

Section: Discussionsupporting

confidence: 91%

“…The chi-square test of independence applied to the total tested population (and every age group in [20,79]) shows that result of the COVID-19 test is related to gender; the power of the test is high (≈ 1) 2 and 𝜒 1;<0.0000 2 > 165, which suggests that vulnerability to SARS-CoV-2 infection depends on gender. The found dependence of gender is consistent with discussed and the results in several previous related studies (6)(7)(8)10,12,16,18) and with outbreaks of a similar virus (23). The size effect evaluated with Cramer's 𝑉 is below 0.1, so the dependence is weak.…”

Section: Analysis By Gendersupporting

confidence: 92%

“…The understanding of the pandemic can be improved by taking advantage of the large databases available from different countries. It is not yet clear the effect that gender and age have on vulnerability to infection (6)(7)(8)10,12,(16)(17)(18), for example. In Mexico, the gender distribution of those confirmed as of December 24, 2020, seems uniform (50.5% males and 49.5% females).…”

Section: Introductionmentioning

confidence: 99%

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Distribution of confirmed with COVID-19 by age and gender in Mexico

Maldonado

2021

Preprint

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Social, economic, and cultural factors can influence the likelihood of exposure to the virus of each person in sanitary emergencies like those of COVID-19. In this sense, parallel to the biological vulnerability to infection with SARS-CoV-2, said factors determine a complementary vulnerability to infection. Hence, they can influence in gender and age distributions of those confirmed, which is not entirely comprehended yet. The effect that age and gender can have on total vulnerability in Mexico thus far is not understood. A better understanding of such dependence can help policy optimization and decision-making to future similar emergencies. We aim to study the age and gender distributions of those confirmed with COVID-19 in Mexico. We also investigate the vulnerability to the infection with SARS-CoV-2 depending on such features. Two different samples of the Mexican population are analyzed in this non-experimental study to compare each other and evaluate the association of the result of the COVID-19 test with gender and age. Data up until the beginning of the vaccination are considered. The percentage of confirmed males is higher than females in both samples, and most tested and confirmed are working-age. Age distributions are positively skewed, with the peak in [30,39] years, which disagrees with the distribution of the Mexican population. The data suggest that the vulnerability to infection weakly depends on gender and age. Males were identified as the most vulnerable gender, and the age group [70,79] showed a higher vulnerability to infection.

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Section: Discussionsupporting

confidence: 91%

Section: Analysis By Gendersupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

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Distribution of confirmed with COVID-19 by age and gender in Mexico

Maldonado

2021

Preprint

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“…The first note that should be made here is that relevance between gender and age with asymptomatic carriers of SARS-CoV-2 is still under debate. Although it seems that these demographic factors may have little statistical correlation to the virus prevalence in the general population, there are other studies that provide such evidence for Italy [2] and South Korea [4]. Hence, these should also be included in the paper, investigated thoroughly via data-driven analysis and documented as statistically relevant or not.…”

Section: Ad-hoc Assumptions and Errors In The Methodologymentioning

confidence: 99%

Review and Commentary on: 'Deploying an Artificial Intelligence System for COVID-19 Testing at the Greek Border'

Georgiou¹

2021

SSRN Journal

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This is a short review and commentary on a paper that was recently published, regarding the employment of an Artificial Intelligence system for targeted testing of travellers for SARS-CoV-2 at the border checks during the summer of 2020 in Greece. The core thesis of the paper is that the system offered significant accuracy and risk mitigation mechanisms for this task. However, the methodology and the supportive material presented therein shows several deficiencies and biases that do not properly justify such claim. The main problems with the paper are presented here, with short discussion about how they should be addressed by the authors.

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“…Despite similar global rates of infection with 2 hospitalization and death rates are [8]. Age is the most essential factor in severity of the disease [10,11]. The death rate for COVID-19 is higher in men and at nearly all ages.…”

Section: Ct Of Target Gene In the Real-time Fluorescent Rt-pcr For Detecting Sarsmentioning

confidence: 99%

Gender and Age Differences in COVID-19 in Iraqi Patient Detected By Real-Time PCR

Abbas¹,

Hasan²

2021

AJMAH

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Since the SARS-CoV-2 epidemic started, it became clear that the impact of the infection incidence and fatality rate were nearly related to the population structure. The outbreak of COVID-19 have severe impacts on the population, lead to different affection in women and men. epidemic in Iraq as elsewhere penetrate rapidly across the country, identifying vulnerable groups and gender analysis and also understanding the communities help to make an effective decisions. Our study Aimed to found the differences of gender and age in Iraqi people from the coronavirus disease 2019. 21545 cases were extracted from Razi Medical center in Baghdad from October 12, 2020 to March 3, 2021, 488 where positive result was according the performance of real-time reverse transcription-PCR (RT-PCR) assays used to targe different gene of SARS-CoV-2 based on kit manuscript. For each group, we calculated cumulative positive rates stratified age and gender for corresponding risks for men vs. women. the positive 358 patients (73.4 %) were men and 130 patients (26.6%) were women. The major part of cases was in the age group of 40-60 years of old and the male to female ratio was 2.75:1. The findings of the study represented higher positive cases rate in men than women. so Male gender and older age notably associated with the risk of positive COVID-19 patients. paying special attention to male elderly patient one of the most important strategies against spreading COVID-19.

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Age and gender distribution of COVID-19 infected cases in Italian population

Cited by 8 publications

References 14 publications

Distribution of confirmed with COVID-19 by age and gender in Mexico

Distribution of confirmed with COVID-19 by age and gender in Mexico

Review and Commentary on: 'Deploying an Artificial Intelligence System for COVID-19 Testing at the Greek Border'

Gender and Age Differences in COVID-19 in Iraqi Patient Detected By Real-Time PCR

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