We estimated the prevalence of anti-Bartonella antibodies among febrile and non-febrile patients presenting to community hospitals in rural Thailand from February 2002 through March 2003. Single serum specimens were tested for IgG titers to four Bartonella species, B. henselae, B. quintana, B. elizabethae and B. vinsonii subsp vinsonii using an indirect immunofluorescent assay. A titer 21:256 was considered positive. Forty-two febrile patients (9.9%) and 19 non-febrile patients (19%) had positive serology titers to at least one Bartonella species. Age-standardized Bartonella seroprevalence differed significantly between febrile (10%) and non-febrile patients (18%, p=0.047), but did not differ by gender. Among all 521 patients, IgG titers 21:256 to B. henselae were found in 20 participants (3.8%), while 17 (3.3%) had seropositivity to B. quintana, 51 (9.8%) to B. elizabethae, and 19 (3.6%) to B. vinsonii subsp vinsonii. These results suggest exposure to Bartonella species is more common in rural Thailand than previously suspected.

To determine the role of Bartonella species as causes of acute febrile illness in humans from Thailand, we used a novel strategy of co-cultivation of blood with eukaryotic cells and subsequent phylogenetic analysis of Bartonella-specific DNA products. Bartonella species were identified in 14 blood clots from febrile patients. Sequence analysis showed that more than one-half of the genotypes identified in human patients were similar or identical to homologous sequences identified in rodents from Asia and were closely related to B. elizabethae, B. rattimassiliensis, and B. tribocorum. The remaining genotypes belonged to B. henselae, B. vinsonii, and B. tamiae. Among the positive febrile patients, animal exposure was common: 36% reported owning either dogs or cats and 71% reported rat exposure during the 2 weeks before illness onset. The findings suggest that rodents are likely reservoirs for a substantial portion of cases of human Bartonella infections in Thailand.

We describe an analytic approach to provide fine-scale discrimination among multiple infection source hypotheses. This approach uses mutation-rate data for rapidly evolving multiple locus variable-number tandem repeat loci in probabilistic models to identify the most likely source. We illustrate the utility of this approach using data from a North American human plague investigation.