Brucella is a Gram-negative facultative intracellular pathogen that causes infection in sheep and goats (B. melitensis.); B. melitensis can also infect other animals. Sheep and goat brucellosis is still present in some regions of Italy, including Campania, and causes considerable economic losses and health threats. The aim of this study was to evaluate the possible risk factors influencing the spread of brucellosis among sheep and goat farms in the Campania region in order to provide the local veterinary services with practical support in evaluating and planning diagnostic, preventive and control interventions. The results of official controls for brucellosis carried out from 2015 to 2020 in the sheep and goat farms of the Campania Region were analyzed. Data were extracted from the National Veterinary Information Systems and the Laboratory Management System of the Experimental Zooprophylactic Institute of Southern Italy. Statistical analysis was carried out through the software R version 4.1.0; the dataset consisted of 37,442 observations, and 9 qualitative and quantitative variables were evaluated on 8487 farms, 248 of which were positive. The association between covariates and the outcome (presence/absence of the disease) was evaluated (Fisher and Wilcoxon tests). A logistic regression model with mixed effects was carried out. This study confirmed that brucellosis in sheep and goats in the Campania region mostly occurs through contact with infected animals imported from other farms (OR = 3.41—IC 95% [1.82–6.41]). Farms with a greater number of animals were seen to be at the greatest risk of infection (OR = 1.04—IC 95% [1.03–1.05]); previous suspension of healthy status also proved to be a risk factor (OR = 55.8—IC 95% [26.7–117]).

Vector-borne infections (Arbovirosis) represent a significant threat to public health worldwide. Climate change, currently a global problem, seems to contribute to the incidence and prevalence of autochthonous and imported cases of arbovirosis in Europe. The aim of this work is to evaluate the impact of climate change on the occurrence and spread of arbovirosis in order to offer concrete ideas to the competent authorities and modulate surveillance plans on the basis of risk assessment. The results of official controls carried out from 2018 to 2023 on animals subjected to the Surveillance Plans for Blue Tongue, West Nile and Usutu viruses in the Campania Region were analyzed. Statistical analyses were performed using R software (version 4.5.0). The possible correlation between the prevalence of infections and climate parameters was evaluated with the “cross-correlation time series” (p-value < 0.05). The generalized linear mixed model showed that for each unit increase in humidity and temperature, the probability of disease spread increased by 4.56% and 7.84%, respectively. The univariate logistic regression model and the odds ratio were necessary to evaluate the possible risk related to the proximity to wetlands or to bodies of water: in the past few years, these have represented a risk for the persistence and spread of arbovirosis in the Campania region.

The objective of this study was to evaluate the association between consumers' experience of COVID-19 and changes in their food purchasing decisions during the lockdown as a result of their risk perception. An online questionnaire was created to analyze consumer purchasing behavior and awareness during the pandemic. At the end of the online administration period, the replies collected were downloaded. A descriptive analysis of the data was carried out through the construction of tables of individual variables; for each variable, the patterns, frequencies, and percentages with which they occurred were determined. Subsequently, a multiple correspondence analysis (MCA) was conducted; this is one of the most widely used statistical techniques for the “multiple” analysis of qualitative or mixed data collected through questionnaires. The final extraction of the completed questionnaires returned the replies of 114 individuals. In the MCA, not all the variables of the matrix were considered, as they were not proportional to the number of individuals. We considered 7 active variables and 1 supplementary variable, which contributed to the formation of factors. The most notable pattern was that those people who were most worried about the risk of contagion not only sanitized their purchases but also reduced their online purchases and deliveries, believing that these measures could reduce the risk of contagion.

Neoplastic disease in dogs and humans has many similarities, including similar clinical manifestations, metastatic potential, and genomic instability. However, tumor latency is shorter in dogs, which may serve as a sentinel for the identification of carcinogenic environmental exposures. This study aims to describe the data collected in the Animal Tumor Registry (RTA) of the Campania Region in the period 2018-2022, with particular attention to the incidence rates of malignant tumors in dogs, divided by province. RTA tumor cases received by the Istituto Zooprofilattico Sperimentale del Mezzogiorno were analyzed; out of a total of 885 tumors, 70% were malignant, with a higher frequency in female dogs. The crude and standardized incidence rate of malignant tumors in dogs was calculated on a provincial basis. Caserta showed the highest incidence rate for both malignant tumors [incidence rate: 135.07 per 100,000; 95% confidence interval (CI): 135.01-135.13] and mammary tumors (incidence rate: 52.75 per 100,000; 95% CI: 52.69-52.80). The results highlight the importance of tumor monitoring in dogs as an indicator of potential environmental risk factors and underline the value of the RTA for the collection of data useful for the prevention and study of neoplastic diseases, as well as in humans.