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OBJECTIVE: To analyze the factors associated with leishmaniasis in Peru, according to the cluster classification in the period 2017-2021. METHODS: Quantitative approach, with an ecological, descriptive correlational, and cross-sectional design. The population was from the geographical region of Peru, where a total of 26,956 cases of leishmaniasis were registered by the Peruvian Ministry of Health from 2017 to 2021. Spearman's Rho statistic was used to analyze the variables that are most associated with the cases of leishmaniasis reported per year, and, in addition, the multivariate technique of cluster analysis was applied. RESULTS: Annual rainfall and areas with humid forest (climatic factors) and mortality from transmissible diseases (health factor) are directly associated with reported cases of leishmaniasis. Households with basic access to infrastructure, drinking water, drainage, and electric lighting; illiteracy, regional social progress, and unsatisfied basic needs (social factors); and percentage of urban population (demographic factor) are inversely and significantly associated with cases of leishmaniasis. CONCLUSIONS: Climatic and environmental factors contribute to the multiplication of the leishmaniasis disease vector. The incidence of leishmaniasis adds up to the mortality rates for transmissible diseases in Peru. As living conditions improve, the incidence of this pathology decreases.
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Objective: To analyze the questionnaire of the validity and reliability of knowledge, attitudes and practices concerning Mpox. Methods: This was an instrumental, cross-sectional study. The sample consisted of 178 citizens from 3 sectors of Peru, who responded to a virtual questionnaire regarding knowledge, attitudes and practices concerning Mpox. The validity and reliability process of the questionnaire was carried out using Aiken's V, Cronbach's Alpha, McDonald's Omega and principal component analysis. Results: After expert evaluation, the questionnaire was shown to have adequate content validity for measuring knowledge, attitudes and practices concerning Mpox, each in their respective dimensions, with Aiken's V values above 0.90. For construct validity, exploratory factor analysis was used and the items were grouped into four dimensions for the level of knowledge, three dimensions for attitudes, and two for practices. With respect to the reliability analysis, the application of Cronbach's α statistic and McDonald's ω, obtained values above 0.70. Conclusion: The results of the research enabled the attainment of a questionnaire that meets the adequate psychometric characteristics in order to be applied.
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Purpose: The presence of the COVID-19 coronavirus in Peru, and especially in northern Peru, was very fast and caused many deaths. As a result, vaccination proved to be the most immediate option to control it. However, a sector of the population was reluctant to vaccination. Therefore, this study aimed to analyze the factors associated with the acceptance of COVID-19 vaccines by citizens of northern Peru. Patients and Methods: The study was observational, descriptive-correlational and the sample was stratified and consisted of 516 citizens from eight departments of northern Peru, who answered an online questionnaire regarding sociodemographic, cultural and health aspects. The data were analyzed using statistical tests of association and a logistic model was estimated to identify factors predicting vaccine acceptance. Results: Among the factors associated with vaccine acceptance, sociodemographic factors such as age and family income, cultural factors such as level of knowledge, and health factors such as having another chronic disease and a vaccine with a higher confidence (p<0.05) were found. In addition, 12% of the population do not trust them, 10% are afraid that they may cause thrombosis, 13% disagree with vaccination for children, 7% think that a chip will be implanted and 8% believe that their DNA will be changed. However, most people accept vaccination and consider it necessary. A multivariate analysis was also performed for the acceptance of vaccines, which presented a percentage of 80.2% correct in the prognosis. Conclusion: The multivariate analysis allowed a conclusion that the predictor variables for vaccine acceptance are household income of less than 1000 Peruvian soles per month, low or medium levels of knowledge, and having another chronic disease.
