Zoonotic Dis., Volume 5, Issue 3 (September 2025) – 9 articles

Rickettsia parkeri strain Atlantic rainforest is an emerging pathogen in Brazil, but human infections remain rarely reported. We report the first confirmed case in the municipality of Caraguatatuba on the northern coast of São Paulo State, Brazil. A 37-year-old man was bitten by an Amblyomma ovale tick while visiting a forested area. Six days later, he developed a papular skin lesion with a necrotic center at the tick bite site, accompanied by regional lymphadenopathy, myalgia, and flu-like symptoms. Ticks parasitizing both the patient and his dog were collected, along with the eschar. Two ticks were analyzed for Rickettsia isolation, and R. parkeri was successfully isolated from one infected specimen. The patient’s infection was confirmed by molecular testing through the PCR amplification of the gltA and ompA genes from an eschar inoculation sample. This represents the sixth confirmed case of rickettsiosis caused by R. parkeri in Brazil, and it reinforces the need for increased epidemiological surveillance in endemic regions for spotted fever caused by this pathogen. With the increasing recognition of R. parkeri in South America, further research is needed to better understand its transmission dynamics, clinical manifestations, and potential public health impact. Full article

Although trap-neuter-return (TNR) is a popular method for managing free-roaming domestic cat populations, a common criticism is that sterilization fails to mitigate the public health risks posed by free-roaming cats. One of these risks is the environmental contamination of Toxoplasma gondii, a parasite that can be spread in the feces of actively infected felids (both domestic and wild). In healthy humans, toxoplasmosis tends to be mild or asymptomatic; however, the disease can have severe consequences (e.g., for pregnant women) and even be fatal in immunocompromised individuals. Previous research has examined the extent to which free-roaming domestic cats might contaminate sites frequented by young children (e.g., schools and parks). However, the model used included several assumptions that are not reflective of sterilized cats in an urban setting (e.g., smaller home range). By properly accounting for several key factors (e.g., reproductive status, home range), our modeling revealed considerably lower rates of potential incursions by sterilized free-roaming cats than those reported previously. More importantly, our results show that sterilization contributes to a considerable reduction in the risk of environmental contamination; TNR therefore appears to be a valuable harm reduction strategy in mitigating the risks of T. gondii infection. Full article

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) raced around the world across different populations; there needs to be a consolidated effort to understand the divergence of the epidemiology of SARS-CoV-2. Population-based epidemiological characteristics studies measure the extent of SARS-CoV-2 infection in a country. The current research study was designed to report epidemiological data from Pakistan. For this purpose, 246 SARS-CoV-2-infected patients were included in the study. For SARS-CoV-2 confirmation, viral samples were collected from all the study participants; SARS-CoV-2 infection was confirmed by viral nucleic acid detection using a nucleic acid detection kit. After SARS-CoV-2 confirmation, all the study participants were interviewed for epidemiological data through a detailed questionnaire. The study results showed that the disease ratio was higher between 30 and 59 years (51.21%) of age. The male ratio (55.28%) was higher compared to the female ratio (44.71%). The patients’ illiteracy and low socioeconomic status were 32.52% and 59.75%, respectively. The majority of the patients (97.56%) had cough, smell or taste disturbance (79.67%), or fever (76.42%), and 70.73% had fatigue. For comorbidities, a higher ratio was observed for diabetes (38.61%), hypertension (36.17%), and respiratory disease (16.26%). The vaccination status analysis revealed that 51.21% of patients had not received routine immunizations, and 65.5% were un-vaccinated against SARS-CoV-2. Notably, not a single patient was vaccinated for influenza vaccine. The current research study concluded that SARS-CoV-2 was more prevalent in individuals who were middle aged, male, and had low socio-economic status. The most common symptoms were cough, smell or taste disturbance, and fever. The patients’ vaccination status highlights a critical gap in preventive healthcare and shows the need to strengthen vaccination awareness and accessibility in the population to reduce vulnerability to future outbreaks. Future research should focus on investigating the impact of COVID-19 outcomes on comorbidities such as diabetes and hypertension. Full article

The 2025 avian influenza A(H5N1) outbreak has highlighted the urgent need for rapidly generated health communication materials during public health emergencies. Artificial intelligence (AI) systems offer transformative potential to accelerate content development pipelines while maintaining scientific accuracy and impact. We evaluated an AI-generated health communication material on bird flu precautions among 100 U.S. adults. The material was developed using ChatGPT for text generation based on CDC guidelines and Leonardo.AI for illustrations. Participants rated perceived message effectiveness, quality, realism, relevance, attractiveness, and visual informativeness. The AI-generated health communication material received favorable ratings across all dimensions: perceived message effectiveness (3.83/5, 77%), perceived message quality (3.84/5, 77%), realism (3.72/5, 74%), relevance (3.68/5, 74%), attractiveness (3.62/5, 74%), and visual informativeness (3.35/5 67%). Linear regression analysis revealed that all features significantly predicted perceived message effectiveness in unadjusted and adjusted models (p < 0.0001), e.g., multivariate analysis of outcome on perceived visual informativeness showed β = 0.51, 95% CI: 0.37–0.66, p < 0.0001. Also, mediation analysis revealed that visual informativeness accounted for 23.8% of the relationship between material attractiveness and perceived effectiveness. AI tools can enable real-time adaptation of prevention guidance during epidemiological emergencies while maintaining effective risk communication. Full article

Knowing the specific characteristics and animal tuberculosis risk factors present and applying good practices are crucial points in combating tuberculosis (TB) in a Mediterranean multi-species scenario. The objective of this work is to statistically analyze the association between the existence of TB in areas with a marked game–livestock interface, with various complementary factors found in 30 extensive farms in southern Portugal, such as the number of animals of each large game species present in the territory and the frequency of their sightings. Collecting this information, an inferential statistical analysis was conducted to obtain information on the association type between TB occurrence in the farms and the presence of highlighted factors. The main statistical results show an association between the presence of large game species and TB occurrence in the analyzed areas. Thus, in a multi-species scenario, large game species are a crucial component in TB maintenance, namely when stricter contact occurs. This could be one of the reasons why TB continues to circulate and why the eradication process is so difficult; the risk of zoonotic transmission is evident. It is crucial to apply biosecurity tools to improve the alignment and structure of natural resource management strategies. Full article

In Kenya, Rift Valley fever (RVF) outbreaks pose significant challenges, being one of the most severe climate-sensitive zoonoses. While machine learning (ML) techniques have shown superior performance in time series forecasting, their application in predicting disease outbreaks in Africa remains underexplored. Leveraging data from the International Livestock Research Institute (ILRI) in Kenya, this study pioneers the use of ML techniques to forecast RVF outbreaks by analyzing climate data spanning from 1981 to 2010, including ML models. Through a comprehensive analysis of ML model performance and the influence of environmental factors on RVF outbreaks, this study provides valuable insights into the intricate dynamics of disease transmission. The XGB Classifier emerged as the top-performing model, exhibiting remarkable accuracy in identifying RVF outbreak cases, with an accuracy score of 0.997310. Additionally, positive correlations were observed between various environmental variables, including rainfall, humidity, clay patterns, and RVF cases, underscoring the critical role of climatic conditions in disease spread. These findings have significant implications for public health strategies, particularly in RVF-endemic regions, where targeted surveillance and control measures are imperative. However, this study also acknowledges the limitations in model accuracy, especially in scenarios involving concurrent infections with multiple diseases, highlighting the need for ongoing research and development to address these challenges. Overall, this study contributes valuable insights to the field of disease prediction and management, paving the way for innovative solutions and improved public health outcomes in RVF-endemic areas and beyond. Full article

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne disease caused by the SFTS virus (SFTSV). A rapid and cost-effective point-of-care testing detection system is important for the early diagnosis of SFTS. Herein, we developed a ready-to-use dried reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay for the direct detection of SFTSV in clinical samples. The assay enables simple, RNA-extraction-free detection using heat-treated serum or plasma, followed by a 30 min incubation at 65 °C. The results are visually interpreted through the color emitted, which can be observed under LED light. The established assay demonstrated detection sensitivity for SFTSV at 10⁴ copies/µL and was effective in identifying infections in cats. Despite being less sensitive than real-time RT-PCR, this dried RT-LAMP method offers a rapid, cost-effective alternative suitable for point-of-care use, particularly in remote or resource-limited settings. The simplified workflow and visual readout make it a practical tool for the early detection and daily surveillance of SFTSV in animals. Full article

In the wake of the COVID-19 pandemic and amid growing concerns regarding viral threats such as avian influenza, Mpox, and HKU5 bat coronaviruses, the phenomenon of viral zoonotic spillover, when viruses leap from circulation in non-human animals to humans, has garnered unprecedented global attention [...] Full article

Zoonotic diseases are a persistent public health concern, especially in low- and middle-income countries like Brazil. This cross-sectional study evaluated the knowledge and perceptions of 132 high school students (70 public and 62 private) in Goiânia, Brazil, regarding zoonoses, using a structured questionnaire. Statistical analyses (Chi-square and Fisher’s exact tests) revealed significant differences (p < 0.05) between public and private school students in knowledge levels, pet care practices, and the awareness of zoonotic risks. While pet ownership was common in both groups, only 53% of private and 21% of public school students correctly defined “zoonosis.” Rabies, taeniasis, leptospirosis, tuberculosis, cysticercosis, cutaneous larva migrans, and leishmaniasis were the most frequently cited diseases, with private school students demonstrating greater recognition across all categories. However, most participants lacked detailed knowledge about transmission routes and prevention. Misconceptions—such as zoonoses affecting only low-income populations—were also identified. Preventive actions like sanitation, public education, and vaccination were commonly suggested but not consistently linked to zoonoses. These findings highlight critical educational gaps and emphasize the need to incorporate One Health principles into school curricula to improve youth understanding and support public health strategies for zoonosis prevention. Full article