This formative research project aims to investigate whether malaria prevalence and intervention data can improve the ability of geostatistical models to predict lymphatic filariasis infections in Papua New Guinea.
In partnership with: Papua New Guinea Institute of Medical Research (PNGIMR)

MORE INITIATIVES Scribble-22

Disease Elimination & Eradication Course

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Falcon Awards for Disease Elimination

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Injaz Fellowship for Disease Elimination

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GLIDE Symposium

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Global Health Channel by GLIDE

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Eliminating Diseases video series

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Economics of Disease Elimination

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Pakistan Malaria Elimination Consortium (MEC)

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Onchocerciasis Elimination in the Americas

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Driving Frameworks for Elimination

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Malaria Data Platform in MENA

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INclusion Lab

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Innovative Financing for NTDs

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Cross-Border Collaboration in Hispaniola

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Gearing up for Elimination

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Evaluating Scabies MDA

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Impact of MDA on Skin NTDs

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Community education for Infectious Diseases

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Malaria Data for LF Modelling

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Climate Change and Vector Control

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Integrating Disease Surveillance Interventions

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Climate Change, Rainfall, and Malaria

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Community-Led Surveillance in Tanzania

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Enhancing Disease Forecasting in the Amazon

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Climate Change and Transmission Dynamics

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Climate Change and Vector Distribution

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Utilizing Climate Data in Mozambique

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Malaria Elimination and Extreme Weather Events

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Climate Change and Lymphatic Filariasis

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Climate Change and Malaria Incidence

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Optimizing MDA in Ghana

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Integrated Surveillance in the Philippines

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Deep Sequencing for Elimination

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Incentives for Polio Elimination

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Scaling Innovative Solutions – DISSECT

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Vaccine Equity and Pandemic Preparedness

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Driving Data for Health

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Community Engagement in Cameroon

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Cross-Disease Initiative in PNG

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Cross Border Collaboration in Asia Pacific

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Integrating Disease Elimination Programming

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Malaria Elimination in the Sahel

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