Seroprevalence of diphtheria and measles antibodies and their association with demographics, self-reported immunity, and immunogenetic factors in healthcare workers in Latvia

Forecasting the Case Number of Infectious Diseases Using Type-2 Fuzzy Logic for a Diphtheria Case Study

“…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.…”

“…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].…”

“…Our past research has tried to predict the number of diphtheria cases [9], but our best model only involved one variable, namely the number of cases in the previous period. In fact, research developments state that the risk of diphtheria can be influenced by various other factors [10].…”