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      Assessing Behavioral Risk Factors Driving Zoonotic Spillover Among High-risk Populations in Myanmar

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          Abstract

          The increasing global emergence of zoonoses warrants improved awareness of activities that predispose vulnerable communities to greater risk of disease. Zoonotic disease outbreaks regularly occur within Myanmar and at its borders partly due to insufficient knowledge of behavioral risks, hindering participatory surveillance and reporting. This study employed a behavioral surveillance strategy among high-risk populations to understand the behavioral risks for zoonotic disease transmission in an effort to identify risk factors for pathogen spillover. To explore behavioral mechanisms of spillover in Myanmar, we aimed to: (1) evaluate the details around animal contact and types of interaction, (2) assess the association between self-reported unusual symptoms (i.e., any illness or sickness that is not known or recognized in the community or diagnosed by medical providers) and animal contact activities and (3) identify the potential risk factors including behavioral practices of self-reported illness. Participants were enrolled at two community sites: Hpa-An and Hmawbi in Southern Myanmar. A behavioral questionnaire was administered to understand participants’ animal exposures, behaviors and self-reported illnesses. From these responses, associations between (1) animal contact activities and self-reported unusual illnesses, and (2) potential risk factors and self-reported unusual illness were tested. Contact with poultry seemed to be very frequent (91.1%) and many participants reported raising, handling and having poultry in their houses as well as slaughtering or being scratched/bitten by them, followed by contact with rodents (57.8%) and swine (17.9%). Compared to participants who did not have any unusual symptoms, participants who had unusual symptoms in the past year were more likely to have sold dead animals (OR = 13.6, 95% CI 6.8–27.2), slaughtered (OR = 2.4, 95% CI 1.7–3.3), raised (OR = 3.4, 95% CI 2.3–5.0) or handled animals (OR = 2.1, 95% CI 1.2–3.6), and had eaten sick (OR = 4.4, 95% CI 3.0–6.4) and/or dead animals (OR = 6.0, 95% CI 4.1–8.8) in the same year. Odds of having reported unusual symptoms was higher among those involved in animal production business (OR = 3.4, 95% CI 1.9–6.2) and animal-involved livelihoods (OR = 3.3, 95% CI 1.5–7.2) compared to other livelihoods. The results suggest that there is a high level of interaction between humans, livestock and wild animals in communities we investigated in Myanmar. The study highlights the specific high-risk behaviors as they relate to animal contact and demographic risk factors for zoonotic spillover. Our findings contribute to human behavioral data needed to develop targeted interventions to prevent zoonotic disease transmission at human–animal interfaces.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10393-023-01636-9.

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          Most cited references41

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          Global trends in emerging infectious diseases

          The next new disease Emerging infectious diseases are a major threat to health: AIDS, SARS, drug-resistant bacteria and Ebola virus are among the more recent examples. By identifying emerging disease 'hotspots', the thinking goes, it should be possible to spot health risks at an early stage and prepare containment strategies. An analysis of over 300 examples of disease emerging between 1940 and 2004 suggests that these hotspots can be accurately mapped based on socio-economic, environmental and ecological factors. The data show that the surveillance effort, and much current research spending, is concentrated in developed economies, yet the risk maps point to developing countries as the more likely source of new diseases. Supplementary information The online version of this article (doi:10.1038/nature06536) contains supplementary material, which is available to authorized users.
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            In May, 1997, a 3-year-old boy in Hong Kong was admitted to the hospital and subsequently died from influenza pneumonia, acute respiratory distress syndrome, Reye's syndrome, multiorgan failure, and disseminated intravascular coagulation. An influenza A H5N1 virus was isolated from a tracheal aspirate of the boy. Preceding this incident, avian influenza outbreaks of high mortality were reported from three chicken farms in Hong Kong, and the virus involved was also found to be of the H5 subtype. We carried out an antigenic and molecular comparison of the influenza A H5N1 virus isolated from the boy with one of the viruses isolated from outbreaks of avian influenza by haemagglutination-inhibition and neuraminidase-inhibition assays and nucleotide sequence analysis. Differences were observed in the antigenic reactivities of the viruses by the haemagglutination-inhibition assay. However, nucleotide sequence analysis of all gene segments revealed that the human virus A/Hong Kong/156/97 was genetically closely related to the avian A/chicken/Hong Kong/258/97. Although direct contact between the sick child and affected chickens has not been established, our results suggest transmission of the virus from infected chickens to the child without another intermediate mammalian host acting as a "mixing vessel". This event illustrates the importance of intensive global influenza surveillance.
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                Author and article information

                Contributors
                valitutto@ecohealthalliance.org
                Journal
                Ecohealth
                Ecohealth
                Ecohealth
                Springer US (New York )
                1612-9202
                1612-9210
                31 May 2023
                : 1-12
                Affiliations
                [1 ]GRID grid.420826.a, ISNI 0000 0004 0409 4702, EcoHealth Alliance, ; 520 Eighth Avenue Ste 1200, New York, NY 10018 USA
                [2 ]GRID grid.467700.2, ISNI 0000 0001 2182 2028, Global Health Program, , Smithsonian’s National Zoological Park and Conservation Biology Institute, ; 3001 Connecticut Ave NW, Washington DC, 20008 USA
                [3 ]GRID grid.453560.1, ISNI 0000 0001 2192 7591, National Museum of Natural History, ; Smithsonian Institution. 10th St. & Constitution Ave NW, Washington DC, 20560 USA
                [4 ]GRID grid.415741.2, Department of Medical Research. No 5, ; Ziwaka Road, Dagon, Yangon, 1119 Myanmar
                Author information
                http://orcid.org/0000-0001-7567-2635
                Article
                1636
                10.1007/s10393-023-01636-9
                10230129
                37256491
                d0f78024-5788-4b04-825b-9f3aa4d53d9c
                © EcoHealth Alliance 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 10 August 2021
                : 22 March 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000200, United States Agency for International Development;
                Award ID: AID-OAA-A-14-00102
                Funded by: FundRef http://dx.doi.org/10.13039/100000060, National Institute of Allergy and Infectious Diseases;
                Award ID: U01AI151797
                Categories
                Original Contribution

                Public health
                zoonoses,infectious disease transmission,risk factors,behavioral risk,community,myanmar
                Public health
                zoonoses, infectious disease transmission, risk factors, behavioral risk, community, myanmar

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