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Bellotti, B. R.

Publications and source records attributed to Bellotti, B. R..

3 recordsLinked to original sources

Cave dogs around major urban areas threaten rabies elimination program

BackgroundIn the city of Arequipa, Peru, the government has implemented control measures against dog rabies virus since the detection of its reintroduction in 2015. The city was previously considered free of animal reservoirs other than owned and stray dogs within its urban boundaries. However, multiple reports from peri-urban residents have suggested the presence of feral dogs living in caves on the citys outskirts. We aim to document the presence and dietary patterns of feral dogs adjacent to the city margins. MethodsWe conducted monthly field visits to four peri-urban localities in eastern Arequipa, an area where the presence of feral dogs had been previously reported. Dog caves were identified by tracking footprints and other field signs left by dogs, and their locations were georeferenced. Each cave was revisited monthly three times to record the presence of live and dead dogs, and puppies. Fecal samples collected around the caves were analyzed to assess dietary patterns. ResultsWe observed that feral dogs use caves for resting, hiding, and reproduction-- some of which appear to be constructed by the dogs themselves. The high number of puppies and dead adult dogs indicates a high population turnover. Dietary analysis revealed that these dogs feed on local fauna, including birds, rodents, cats, sheep, and, notably, other dogs. ConclusionsThese unowned, cave-dwelling dogs are not reached by mass rabies vaccination or sterilization programs. Moreover, they exist outside the jurisdiction of health inspectors responsible for rabies surveillance, resulting in a lack of data on rabies infection in this subpopulation. Our findings highlight the need for integrated One Health strategies to address the challenges posed by feral dog populations in rabies elimination efforts.

ecology↗

Time is of the essence: effectiveness of dairy farm control of H5N1 is limited by fast spread

The emergence and growth of highly pathogenic avian influenza(HPAI) A(H5N1) in dairy cows poses a growing threat for both the food supply and onward zoonosis to humans. Despite ongoing surveillance and control measures recommended by animal and public health authorities to limit viral spread, new herds continue to report infections. We show here that the continued spread between farms could be explained by the rapid pace of pathogen spread reported within farms, which greatly limits the potential effectiveness of these recommendations. Under reasonable surveillance strategies, we show that the time farms have to mobilize interventions is extremely limited, as few as a couple days and typically less than a week. Our findings suggest that passive surveillance measures, such as detection of H5N1 via weekly bulk milk testing, comes too late such that most infections have already occurred. For current interventions to be valuable, more sensitive and extensive surveillance is needed and an emphasis should be placed on biosecurity practices rather than reactive practices.

ecology↗

Challenges and lessons learned from preliminary modeling of with-in herd transmission of highly pathogenic avian influenza H5N1 in dairy cattle

The emergence of highly pathogenic avian influenza A H5N1 in dairy cattle raises many questions related to animal health and changes to the risk of an epidemic in humans. We synthesized information currently published to fit a compartment model of H5N1 transmission within a dairy herd. An accompanying web application allows users to run simulations for specific outbreak scenarios. We estimated R0 near 1.2 with a short duration of infectiousness and fast time course of an epidemic within a farm, which we discuss in the context of possible on-farm control strategies. The web application allows users to simulate consequences of an epidemic using herd-specific information, a tool we propose will help inform stakeholders about potential consequences of uncontrolled H5N1 spread. Our modeling work has identified several key information gaps that would strengthen our understanding and control of this emerging infectious disease.

ecology↗