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Strengthening capacities to innovate through North-South collaborative agricultural research in Papua New Guinea








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    Project
    Strengthening Biosecurity Preparedness through Enhanced Rapid Detection of African Swine Fever in Papua New Guinea - TCP/PNG/3706 2021
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    African Swine Fever ( is a highly contagious and fatal hemorrhagic viral disease that affects susceptible Suidae family, including pigs and wild boars In 2019 an expert team from the Emergency Management Centre for Animal Health (EMC AH) FAO conducted a Rapid Preparedness Assessment for ASF in Papua New Guinea, and concluded that the country was on high alert for an imminent incursion Recommendations were given to the National Agriculture Quarantine and Inspection Authority ( the country’s mandated Biosecurity and Veterinary service, on active reporting and surveillance, early detection, control and containment of ASF in the event of an incursion The Mission team, in collaboration with the NAQIA, the Department of Agriculture and Livestock (DAL and other relevant agencies and stakeholders, identified high risk entry pathways for ASF, namely the Indonesia and Papua New Guinea land borders, airports and seaports, through mining, logging and construction sites with Chinese or Asian contractors and/or workers The early detection of ASF was pertinent in the efficient and timely control and containment of the disease Given the high socio economic value of pigs in the country, particularly in the Highlands Region, it was imperative that an incursion be prevented and that ASF be kept out of this region Against this background, the project was designed to address gaps identified in the existing animal surveillance system in the NAQIA, and to strengthen the technical capacity of the NAQIA, the DAL and relevant agencies’ officers in active surveillance and reporting, diagnostics, and risk communication, to enable rapid detection and early containment of ASF incursion in the country.
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    Strengthening Capacity for Data Processing, Analysis and Management in Papua New Guinea - TCP/PNG/3604 2020
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    Papua New Guinea has a centralized statistical system. NSO, under the Ministry of National Planning and Monitoring, is responsible for the collection, compilation and dissemination of all social and economic statistics. It is entrusted with the conduct of all censuses and surveys, and has carried out housing and population censuses in Papua New Guinea since its independence. NSO also compiles National Accounts and has conducted two national-level sample surveys (a Demographic and Health Survey [DHS] and a Household Income and Expenditure Survey), as well as being responsible for a quarterly Consumer Price Index. However, NSO has no staff dedicated to activities related to agriculture statistics, and the national statistics system as a whole suffers from a lack of resources and trained personnel needed to collect agriculture data. An agriculture census has not been conducted in Papua New Guinea for more than four decades. The lack of baseline agricultural statistics is a serious challenge to the Government’s ability to evaluate the impact of agricultural projects and national development indicators in the agriculture and rural development sector. It also compromises the ability of the Government to monitor progress against relevant Sustainable Development Goals. In partnership with the World Bank and the United Nations Statistical Commission, FAO developed a Global Strategy to Improve Agricultural and Rural Statistics, aimed at providing a framework to enable national and international statistical systems to produce basic agricultural data. Preparation work for Papua New Guinea was undertaken in two phases and two main areas requiring technical assistance and training were identified: the processing and analysis of data collected from the DHS; and the preparation of a framework for the conduct of an Agricultural Census. The aim of the project was to provide technical assistance and training in these areas and to strengthen the capacity of the relevant government agencies in Papua New Guinea to process and analyse agriculturalstatistics.

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