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Record W7039556856

Mission to Indonesia to participate to the 1st Indonesia- France Seminar in Medicine & Public Health and investigate potential collaborations on animal health : 2nd - 9th of November 2012

2012· book· en· W7039556856 on OpenAlexfundno aff

Bibliographic record

VenueAgritrop (Cirad) · 2012
Typebook
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsnot available
FundersFP7 International CooperationFakultas Kedokteran, Universitas IndonesiaAustralian Centre for International Agricultural ResearchInternational Livestock Research InstituteUniversitas Gadjah MadaLembaga Ilmu Pengetahuan IndonesiaUniversitas IndonesiaInstitut Pertanian BogorCentre de Coopération Internationale en Recherche Agronomique pour le DéveloppementWildlife Conservation SocietyInternational Development Research CentreUnited States Agency for International DevelopmentUniversitas UdayanaAustralian Agency for International DevelopmentSoutheast Asia One Health University NetworkInternational Fine Particle Research InstituteU.S. Department of Agriculture
KeywordsPublic healthChristian ministryWildlifeRabiesAnimal healthVeterinary public healthInfluenza A virus subtype H5N1One HealthEpidemiologyGlobal health
DOInot available

Abstract

fetched live from OpenAlex

Emerging and zoonotic infectious diseases are a major issue in Indonesia. The objective of this mission, funded by the Institut Français d'Indonésie (IFI), was to identify potential subjects of collaboration between CIRAD, Pasteur Institute, and Indonesian universities, research centers, and organizations. Meetings were held in Jakarta, Bogor and Yogyakarta with representatives of FKUI, the Ministry of Health, the Ministry of Agriculture, the DICs of Denpasar and Kupang, CIVAS, ICASEPS, LIPI, IPB, UGM, UNUD, and FAO. The mission went very well and had very positive outcomes: we were warmly welcomed by our colleagues, had fruitful discussions and identified promising grounds for future collaborations on zoonoses and emerging diseases. The first field of collaboration could be training. Training modules and exchange of staff and students could be organized quite easily and rapidly, especially through the GREASE regional network for the management of emerging epidemiological risks in Southeast Asia or the Institut Pasteur International Network. Some funds should be available at IFI to initiate such training and exchanges. Two fields of research were identified for a second stage of collaboration: rabies and wildlife health. Regarding rabies, comparative and integrated approaches could be used to address research gaps on dog ecology, inter?islands movements of dogs, knowledge attitude and perception regarding dog ownership and rabies, spatial and temporal dynamics of rabies, and exploration of potential wildlife reservoirs. Ideally, these studies would be conducted in islands with different epidemiological contexts. Flores would be a good candidate to start with as this island has benefited from limited rabies research despite the fact that it has experienced more than 200 human rabies cases since the disease first occurred in 1997. Regarding wildlife health, most of the work conducted thus far pertained to conservation medicine for endangered species. There is a strong will to develop studies on the potential pathogen transmission at the interface between wildlife and human/livestock. A more specific research topic identified was a health risk analysis on pioneering fronts in naturally forested areas, especially where palm oil plantation is associated to livestock farming. The collaboration between CIRAD, Pasteur Institute and Indonesian research teams could therefore be initiated as soon as 2013 by training modules, exchange of students and staff, and participation to GREASE meetings and workshops. Proposals for research projects on rabies and wildlife health could be drafted the same year. Special attention would have to be paid for a good communication with the Ministries of Agriculture, Health and Forestry, as well as FAO and other international research teams working in Indonesia, in order to make sure that there is no duplication of activities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.312
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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