The Anchored Multiplier calculator synthesizes multiple estimates of the size of a population into a single “consensus” estimate. The Anchored Multiplier uses a Bayesian modeling framework to combine empirical estimates with a prior belief (e.g., an estimate from a stakeholder, a previous study or extrapolation from the literature). Data input can take the form of raw numbers or population percentages. The calculator will fit the data input to a beta probability distribution that reflects the certainty (i.e. the strength) of the data point. Stronger data points (those with narrower confidence intervals) will have greater influence on the final estimate than weaker data points (those with wider confidence intervals).
© Copyright to separate contributions to collective work created by Paul Wesson, Ali Mirzazadeh, and Willi McFarland. Copyright to separate contributions to collective work created by the Regents of the University of California, San Francisco, copyright Regents of California, San Francisco. All rights reserved.
DiSARM is a surveillance and decision-support platform, designed to allow disease control programs to perform complex spatial and mathematical analyses on their data to help inform decision-making. A core feature of DiSARM is the ability to combine disease surveillance data with satellite derived environmental and climatological variables to produce risk maps in near real time. DiSARM also uses mathematical models to help turn risk maps into decision maps to support the targeting, monitoring and evaluation of control activities.
Entomological Surveillance Planning Tool (ESPT))
The Malaria Elimination Scenario Planning Tool, first piloted in Zanzibar in 2009, guides countries in conducting a thorough assessment of the technical, operational, and financial feasibility of malaria elimination. Our Malaria Elimination Initiative and the Clinton Health Access Initiative used this strategic decision-making and planning tool to access the feasibility of eliminating malaria in Senegal/Gambia and Hispaniola. MEI is now supporting Rwanda in assessing the feasibility of achieving pre-elimination in the short term.
The Malaria Elimination Initiative partnered with the World Health Organization, Clinton Health Access Initiative, Johns Hopkins University and Imperial College to develop the ESP tool.
Global Health Data Methods
Contributors to the Palgrave Handbook of Global Health Data Methods for Policy and Practice created a website to assist students, practitioners, policymakers and the general public understand how data can be collected, analyzed and disseminated to improve global health. The website contains useful information from the book and links to additional resources.
Malaria Elimination Risk Factor Analysis Tool (MERFAT)
MERFAT enables programs to gather information on malaria cases and controls and identify which factors are associated with risk of infection. Identifying risk factors is necessary in order to target high-risk populations; this can be difficult in elimination settings because of the very low numbers of infections at any given time.
Primaquine Roll Out Monitoring Pharmacovigilance Tool (PROMPT)
PROMPT is an easy and adaptable approach for national malaria programs to strengthen pharmacovigilance for the safe introduction of primaquine, an anitmalarial drug. PROMPT’s flexible platform supports both passive and active surveillance, allowing for adaptability to a wide range of program capacity. Data collected from PROMPT is fed into a global repository to promote data sharing across multiple stakeholders and diverse epidemiological settings needed for a broader analysis of primaquine safety data.
Reactive Case Detection Monitoring and Evaluation Tool
This simple monitoring and evaluation tool assesses the completeness and timeliness of active surveillance and response, and informs malaria programs about how and where efficiency gains can be made. It examines the key components of active surveillance activities, identifies and evaluates the strengths and gaps of the active surveillance program, and assesses the costs of conducting reactive case detection. This tool has been used in South Africa, China, and other countries in southern Africa and the Asia Pacific.