Improving response to malaria outbreaks in amazon-basin countries

Active Project Grant Awarded Last action

Award ID
R01AI151056
Recipient
Awarding agency
Obligated
$5,460,829

Award facts

Assistance listing
93.855 Allergy and Infectious Diseases Research
Completion date 86% complete
Originally
Funding
  • $4,732,923.00 Federal
  • $727,906.00 Non-federal
Place of performance
Durham, NC 27705, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
The objective of this proposal is to improve malaria response in the amazon by enhancing knowledge on when where, and which targeted interventions will have the greatest impact. There is a critical need for improved malaria control-since 2011, no region in the world has experienced a larger increase in malaria than the amazon. Several events contributed to this rise: extreme weather (i.e., EL nino), expanded resource extraction, political unrest in venezuela, and withdrawal of the global fund from south america. The unprecedented malaria resurgence has been particularly high near border regions where migration and poor health care facilitate transmission. The current surveillance system has a 4-week delay in cases reported, which is completely inadequate, resulting in reactive VS. Preventive intervention strategies. To respond, our team developed a malaria early warning system (MEWS) with NASA support for loreto, peru, where over 90% of malaria cases in peru occur. The MEWS forecasts outbreaks with >90% sensitivity and >75% specificity 8-12 weeks in advance in sub- regions (ecoregions using unobserved component models [UCM]) and districts (via spatial bayesian models), and fits community-based agent based models (ABMS) to evaluate behavioral factors associated with transmission. However, gaps remain: our MEWS has unknown performance outside of peru; IT does not incorporate migration; forecasts are not downscaled for hotspot detection; forecasting performance is poor near border regions; and the models are not integrated across scales. We address these gaps with three aims: (1) evaluate MEWS expansion to the ecuadorian and brazilian amazon and evaluate sub-district downscaled forecasts; (2) evaluate the relationship between infrastructure, socioeconomic networks, and migration across international borders with malaria incidence; and (3) evaluate scenarios of potential malaria interventions along borders to reduce malaria risk in both countries using ABMS. This project will significantly improve current surveillance efforts by providing both current estimates and forecasts of malaria using state-of-the-art climate, hydrology and land cover models. The MEWS is expanded by obtaining surveillance and population data from ecuador and brazil, and merging these with hydro-meteorological data. New ecoregions that ignore administrative borders are defined and ucms are applied. Spatial bayesian models are used to estimate both district- and downscaled sub-district level malaria incidence. Infrastructure data are obtained from public sources and a social network analysis (and data collection) will be conducted in communities along border regions (brazil- peru, ecuador-peru). We evaluate malaria incidence along identified network structures up to 300KM away from borders and test simulated intervention scenarios in border communities to evaluate effects on malaria transmission. This proposal responds to the who 2016-2030 global technical strategy for malaria and the recent initiatives by the pan american health organization calling for improved malaria surveillance as a core intervention to improve response to high malaria burden.

Transactions

Action Federal Non-federal Date
Amendment $0 $0
Amendment $79,531 $0
Amendment $15,992 $0
Amendment $56,630 $0
Amendment $551,556 $0
Amendment $675,700 $0
Amendment $639,318 $0
Amendment $629,192 $0
Amendment $629,192 $0
Amendment $727,906 $0
Original award $727,906 $727,906
Show all 11

Subawards

Subrecipient Amount Awarded
The Johns Hopkins University Johns Hopkins University will contribute to the proposed project by implementing, evaluating and operationalizing the Land Data Assimilation System used to… $341,745
Universidad Peruana Cayetano Heredia This team will participate in the construction of tools for fieldwork (surveys and interview guides) as well as fieldwork logistics guidance. The team will mine… $417,995
Universidad San Francisco De Quito Usfq ",,,proposal and grant mechanism to continue the NASA Malaria Early Warning System (MEWS)...the objectives and aims of this grant will help Amazon-basin… $393,314
Fundacao Instituto De Pesquisas Economicas, Administrativas E Contabeis De Minas Gerais - Ipead The Center for Regional Development and Planning (Cedeplar) at UFMG, to which Professors Alisson Barbieri and Gilvan Guedes are associated, is an… $428,443

Quick answers

Who received award R01AI151056?

R01AI151056 was awarded to Duke University by National Institute of Allergy and Infectious Diseases (National Institutes of Health) on September 1, 2021.

How much is award R01AI151056 worth?

$5,460,829 has been obligated on R01AI151056: $4,732,923 in federal funding and $727,906 in non-federal funding.

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