Distribution of confirmed with COVID-19 by age and gender in Mexico
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
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.
Article activity feed
-
SciScore for 10.1101/2021.11.21.21264092: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources The samples were collected by qualified workers of BMSA Group and analyzed by Orthin laboratory or Laboratorio Imagen. Imagensuggested: (IMAGEN, RRID:SCR_016045)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:The study has the natural limitations of non-experimental studies; there was no control over the variables involved (like the virus exposure, comorbidities, health …
SciScore for 10.1101/2021.11.21.21264092: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources The samples were collected by qualified workers of BMSA Group and analyzed by Orthin laboratory or Laboratorio Imagen. Imagensuggested: (IMAGEN, RRID:SCR_016045)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:The study has the natural limitations of non-experimental studies; there was no control over the variables involved (like the virus exposure, comorbidities, health status, etcetera, of the addressed population). In this sense, the study does not have high accuracy. The fact that the highest number of confirmed cases in sample 2 are from males does not necessarily imply that they are more vulnerable to SARS-CoV-2; the population of the set of companies is predominantly males. Data from the Mexican population also show that number of confirmed males is higher than those of females, no matter the total population is composed mainly of females (19). Using the chi-square test, we evaluate the differences in the proportions by age and gender that the two samples (or different subsets) have with the Mexican population to determine their representativity. In the cases representative of the Mexican population, we evaluate the relation of test result (confirmed or negative) with gender (and age) by the chi-square test of independence. We interpret the dependence between those variables as dependence in vulnerability to SARS-CoV-2 infection, a vulnerability that includes several factors such as the social, biological, economic, and cultural, by example. Hence, independence between such variables means independence in the vulnerability to SARS-CoV-2 infection. 4.1 Analysis by gender: For sample 1, the difference in proportions by gender of applied tests (48.2% of males and 51.8% of femal...
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
-