The Asia Pacific Strategy for Emerging Diseases (APSED) requires collaboration, consensus, and partnership across all the different actors and sectors involved in different aspects of emerging disease. Guided by APSED, Mongolia has established a functional coordination mechanism between the animal and human health sectors. Surveillance, information exchange and risk assessment, risk reduction, and coordinated response capacity and collaborative research have been identified as the four pillars of the zoonoses framework. Intersectoral collaboration has been clearly shown to be a crucial tool in the prevention and control of emerging zoonotic diseases. A "One Health" strategy has been implemented under the concept of 'Healthy animal-Healthy food-Healthy people'. An intersectoral coordination mechanism established between the veterinary and public health sectors has expanded its function to incorporate more work on food safety, emergency management, and effects of climate change on zoonotic diseases. Its membership includes the human health sector, the veterinary sector, the national emergency management agency, the environment sector, emergency management and inspection authorities, and the World Health Organization (WHO). The main outputs of the coordination mechanism have been strengthened surveillance and response activities and laboratory capacities. The coordination mechanism has also strengthened the surveillance and response capacity of neglected zoonotic diseases, such as brucellosis, anthrax, and tick-borne diseases. Through regular meetings and brainstorming sessions, both sectors have developed joint operational plans, a long-term risk reduction plan 2011-2015, initiated a prioritization exercise and risk assessment for 29 zoonotic diseases, and reviewed and revised standards, procedures, and communication strategies. In 2011, a list of experts on major zoonoses were identified from different sectors and formed into a taskforce to identify the focal points for rabies, brucellosis, and vector-borne diseases. As a result, disease control strategies are now linked to scientific research and epidemiological expertise.

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The coronavirus disease (COVID-19) presented a unique opportunity for the World Health Organization (WHO) to utilise public health intelligence (PHI) for pandemic response. WHO systematically captured mainly unstructured information (e.g. media articles, listservs, community-based reporting) for public health intelligence purposes. WHO used the Epidemic Intelligence from Open Sources (EIOS) system as one of the information sources for PHI. The processes and scope for PHI were adapted as the pandemic evolved and tailored to regional response needs. During the early months of the pandemic, media monitoring complemented official case and death reporting through the International Health Regulations mechanism and triggered alerts. As the pandemic evolved, PHI activities prioritised identifying epidemiological trends to supplement the information available through indicator-based surveillance reported to WHO. The PHI scope evolved over time to include vaccine introduction, emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants, unusual clinical manifestations and upsurges in cases, hospitalisation and death incidences at subnational levels. Triaging the unprecedented high volume of information challenged surveillance activities but was managed by collaborative information sharing. The evolution of PHI activities using multiple sources in WHO’s response to the COVID-19 pandemic illustrates the future directions in which PHI methodologies could be developed and used.

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Introduction: Information on microbiological and susceptibility profiles of Monoglian bacterial isolates is scarce. Resistance profiles, patient demographics and microbiological work-up of gram positive isolates were analyzed in order to develop infection control activities and policies at the National Center for Maternity and Children’s Health (NCMCH) in Ulaanbataar, Mongolia.Methods: All gram positive isolates of specimens submitted to the microbiology laboratory at NCMCH between January 2014 and August 2017 were included. Data collected included demographic data, specimen type, in-/outpatient status, hospital ward of sample origin, and antimicrobial susceptibility testing profile. Susceptibility testing was performed by trained microbiologists at the NCMCH microbiology laboratory. T-test, Mann-Whitney, Chi-square and Fisher exact tests were used as appropriate.Results: Of 11,889 isolates, 4012 (33.7%) were gram positive, with most identified as S. aureus (62.6%, n=2512). Rates of methicillin resistance (MRSA) remained stable at a quarter, but was significantly higher among inpatients (inpatients: 630/2002, 31.5%; outpatients 67/290, 23.1%; p≤0.05) and sterile site isolates (sterile: 83/171, 48.5%; non-sterile: 416/1678, 24.8%; p≤0.01). The vast majority of S. pneumoniae isolates (12/14; 85%) was found to be penicillin resistant by oxacillin disk diffusion. While identification of Group B streptococci was rare (n=137) due to of lack of diagnostic measures available, the number of enterococcal isolates identified increased signifi-cantly due to implementation of improved microbiological work-up (2015: n=7; 2016: n=26; 2017: n=83).Conclusion: Compared with published studies from neighboring nations, the rates of antimicrobial resistance among gram positive isolates at NCMCH, particularly with respect to S. aureus and S. pneumoniae, were much higher. Further improvement of microbiological diagnostics and collabo-ration of stakeholders is required to address the pressing infection control and stewardship issues and to ensure reliable identification of relevant pathogens in Mongolia.