Publications by authors named "Lertrak Srikitjakarn"

Background: Emerging pathogens and zoonotic spillover highlight the need for One Health surveillance to detect outbreaks as early as possible. Participatory surveillance empowers communities to collect data at the source on the health of animals, people, and the environment. Technological advances increase the use and scope of these systems.

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The Participatory One-Health Disease Detection project (PODD) (www.cmonehealth.org) developed a health-based surveillance system with the local government of Chiang Mai community ownership that has been created a mobile application on smartphone for reporting an abnormal event, especially animal health.

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Rabies is a fatal viral disease that affects all mammals. It causes an estimated 59,000 human deaths worldwide annually. Dogs are the main reservoir and transmitter of rabies to human in Sri Lanka.

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Background: Aiming for early disease detection and prompt outbreak control, digital technology with a participatory One Health approach was used to create a novel disease surveillance system called Participatory One Health Disease Detection (PODD). PODD is a community-owned surveillance system that collects data from volunteer reporters; identifies disease outbreak automatically; and notifies the local governments (LGs), surrounding villages, and relevant authorities. This system provides a direct and immediate benefit to the communities by empowering them to protect themselves.

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A modified, non-species dependent ELISA was performed to detect antibodies in sera of Burkholderia pseudomallei-immunized goats using protein G- or protein A-peroxidase conjugates. The rise of antibody titers during the immunization period exhibited corresponding results by modified ELISA comparison to conventional ELISA and the IHA. Regarding the increase of antibody levels from the pre-immunized baseline to the post-immunized status, the antibody titer detected by modified ELISA was higher than IHA but lower than conventional ELISA.

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The occurrence of Salmonella in food of animal origin in Chiang Mai province was investigated by using a cross-sectional study during several phases of the pork production chain (cutting, transport, and retail) and of the environment in the cutting unit of a slaughterhouse. In total, 173 pork samples were obtained during the cutting phase, 173 samples from transported pork, 200 samples from retail products, and 300 samples from the slaughterhouse environment. Salmonella was detected in 55.

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This epidemiological cross-sectional study was conducted in five major pig-producing districts of CDR, Nepal from November 2006 to April 2007. A total of 576 slaughtered pigs were randomly selected and diaphragmatic crus muscles (n = 551), corresponding sera (n = 487) and sera only (n = 25) were collected from them. Meat samples were examined by pepsin digestion to evaluate for larvae of Trichinella spp.

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Five hundred eighty-nine dog blood samples from the small animal hospital of Chiang Mai University were examined for Dirofilaria immitis prevalence using a microhematocrit tube technique for microfilaria detection. In parallel, a once a month follow-up study on 36 D. immitis negative dogs was conducted to detect the time of acquiring infection in each animal.

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A cross-sectional study was conducted to determine microbial contamination of pig carcasses at a slaughterhouse in Vientiane, capital of Lao People Democratic Republic (Lao PDR). Between November 2004 and April 2005, 62 pig carcasses were randomly selected. From each carcass, pooled swabs (from "1" prior to and "2" after evisceration) and 25 g of tissue of mesenteric lymph nodes (MLN) were collected.

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Article Synopsis
  • The study focused on the seroprevalence of melioidosis in dairy cattle in Chiang Mai Province using the indirect hemagglutination antibody method, testing 253 samples out of 8,688 cattle.
  • The seroprevalence was found to be 2% at a 1:40 cut-off value, with a confidence interval suggesting a range between 0.3% to 3.7%.
  • This relatively low prevalence in Chiang Mai contrasts sharply with higher prevalence rates reported in northeastern Thailand, highlighting differences in disease endemism across regions.
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