A survey on tick density and on tick-borne zoonoses was carried out in four public parks in the outskirts of Imola (northern Italy) from June to October 2006. All stages of Ixodes ricinus and only larvae of Riphicephalus sanguineus were recovered by dragging, performed on 100-m transects. Almost all ticks (99%) were harvested in one park. I. ricinus density (nymphs/100 m(2) ) ranged from 0 in park L to 6.3 in park F. Nymphs and adults of I. ricinus were subjected to PCR for Anaplasma phagocytophilum, Bartonella spp., Borrelia burgdorferi s. l. and Rickettsia spp. The observed prevalences were 38.3% for Bartonella henselae, 5.2% for Bartonella clarridgeiae, 10.4% for B. burgdorferi s. l., 2.6% for Rickettsia helvetica and 13% for Rickettsia monacensis, respectively. No DNA of A. phagocytophilum was found. Acarological risks (AR) were calculated as probabilities of collecting at least one infected nymph per transect. The AR values calculated for the various zoonotic agents were 11.4% for R. helvetica, 27.7% for B. clarridgeiae, 49.7% for B. burgdorferi s. l., 57.2% for R. monacensis and 90.4% for B. henselae, respectively. In this study, B. clarridgeiae was for the first time identified in I. ricinus ticks.

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YF Weekly Epidemiological Surveillance (WES) data and malaria RDT-positivity monthly averages for acute febrile illnesses (AFI) for the two sub-counties in the same period.Results: Nationally, 1,882 and 710 suspected cases of YF were reported monthly and WES respectively, representing a respective average monthly and weekly notification of 18 and 13 cases. Average malaria positivity rate for health facilities in Kebisomi among AFI patients ranged between 3.6 -27.0% while in Buwunga, malaria positivity rate ranged between 40.0 -60.0%.Conclusion: The high number of uninvestigated suspected YF cases in Uganda and the reporting of the cases as aggregate data demonstrate a missed opportunity to detect YF outbreaks as this reporting makes retrospective suspect case follow up impossible. Additionally, case-based YF surveillance among YF suspect cases and the malaria negative acute febrile illness pool could increase the detection of YF cases.

Experts and international public health organisations stress the lack of surveillance systems for companion animal diseases and the need to implement such surveillance as a priority of the 'One Health' perspective. This paper presents the features of a system for the collection, analysis, interpretation and dissemination of data regarding the health status of pets in the Veneto region (Italy). The system involved the construction of a Web-based database containing the diagnoses of transmissible and non-transmissible diseases of dogs and cats made by veterinarians in their practices, hospitals, kennels and catteries. Each diagnosis constitutes a single record, also containing data on the identification of the individual animal and on several characteristics of epidemiological relevance. The World Health Organization (WHO) 10th revision of the International Classification of Diseases (ICD-10) for human diseases has been adapted to canine and feline diseases to standardise the diagnostic nomenclature. Software has been specifically created for online data entry and data management. The first results show that the main disorders were digestive (21%), dermatological (18%) and cardiovascular (11%) among 1,087 diagnostic records in dogs, and digestive (23%), dermatological (15%) and urinary (14%) among 289 diagnostic records in cats. The main causes of death are represented by cardiovascular (21%) and gastrointestinal (21%) diseases in dogs and by urinary (31%) disorders in cats. At present, no institutional surveillance system for companion animal health exists in Italy, and veterinarians joining this project and sharing the outcomes of their clinical activity are acting on a voluntary basis.