2022
DOI: 10.1016/j.heliyon.2022.e11370
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Factors associated with diphtheria vaccination completion among children under five years old in Peru 2010–2019: A cross-sectional population-based study

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Cited by 2 publications
(3 citation statements)
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“…In the future, this vaccine administration interval can be used as a data entry for the characteristics of research subjects which also influences anti-pertussis antibody titer levels. [15][16][17][18][19][20] Another limitation of this study is that the measurement of anti-pertussis antibody levels was only carried out once with a cross-sectional design so that anti-pertussis antibody levels could not be seen clearly. The level of anti-pertussis antibodies after basic DPT vaccination is unknown so no preliminary data on the subject's anti-pertussis antibody levels was obtained as an indication of whether or not antipertussis antibodies were formed after vaccination.…”
Section: Discussionmentioning
confidence: 99%
“…In the future, this vaccine administration interval can be used as a data entry for the characteristics of research subjects which also influences anti-pertussis antibody titer levels. [15][16][17][18][19][20] Another limitation of this study is that the measurement of anti-pertussis antibody levels was only carried out once with a cross-sectional design so that anti-pertussis antibody levels could not be seen clearly. The level of anti-pertussis antibodies after basic DPT vaccination is unknown so no preliminary data on the subject's anti-pertussis antibody levels was obtained as an indication of whether or not antipertussis antibodies were formed after vaccination.…”
Section: Discussionmentioning
confidence: 99%
“…So far, research related to diphtheria has focused more on analyzing the impact of diphtheria vaccine administration. Related to research on the factors involved, previous studies have stated that the risk factors that influence the occurrence of diphtheria cases are demographics [10,14], the administration of vaccines [1,14,15], and familial wealth [14]. For this reason, this research will forecast the number of diphtheria cases by involving the variables of various vaccines that have been obtained, the number of cases in the previous period, and population density.…”
Section: Related Workmentioning
confidence: 99%
“…There is still very little research that predicts the number of diphtheria cases involving population density variables and the number of cases in the previous period. So far, research related to diphtheria has focused more on analyzing the impact of vaccines on public health [4,8], distinguished by age group [5,15,16], population [14], demographics [10], area characteristics [17], changes in social behavior [18], and the size of the given country's income [19].…”
Section: Related Workmentioning
confidence: 99%