SFG and TG seropositivity in Humans suspected of TBD in Yucatan, Mexico.

IF 2.5 4区医学 Q3 INFECTIOUS DISEASES Epidemiology and Infection Pub Date : 2025-01-08 DOI:10.1017/S0950268824001894

Karla Rossanet Dzul Rosado, Carlos Aaron Peña Bates, Martin Raúl Tello, Henry R Noh-Pech, Fernando I Puerto, Oghenekaro Omodior

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Abstract

Since 1996, the incidence of rickettsiosis has been increasing in Yucatán, Mexico, but recent prevalence data are lacking. This study aimed to determine exposure to the Spotted Fever Group (SFG) and Typhus Group (TG) in human serum samples suspected of tick-borne diseases (TBD) between 2015 and 2022. A total of 620 samples were analysed using indirect immunofluorescence assay (IFA) to detect IgG antibodies against SFG (Rickettsia rickettsii) and TG (Rickettsia typhi), considering a titer of ≥64 as positive. Results showed that 103 samples (17%) were positive for R. rickettsii and 145 (24%) for R. typhi, while 256 (41%) and 229 (37%) were negative, respectively. There was a cross-reaction in 244 samples (39%). Individuals with contact with vectors, such as ticks, showed significant exposure to fleas (p = 0.0010). The study suggests a high prevalence of rickettsiosis and recommends prospective studies to assess the disease burden and strengthen surveillance and prevention in Yucatán, considering factors like temperature and ecological changes.

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墨西哥尤卡坦地区疑似TBD人群中SFG和tg血清阳性。

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来源期刊

Epidemiology and Infection 医学-传染病学

CiteScore

4.10

自引率

2.40%

发文量

366

审稿时长

3-6 weeks

期刊介绍： Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.