The President’s Malaria Initiative (PMI) is a U.S. Government initiative designed to reduce malaria deaths and illnesses in target countries in sub-Saharan Africa with a long-term vision of a world without malaria. This asset contains six excel datasets that include information related to pharmaceuticals products used for malaria treatment, commodity shipments during the 2013 fiscal year, and the status of stocks and delivery plans covering fiscal years 2013 to 2018. Four datasets are unrestricted and open for general public use: - PMI GHSC_Product_Master - PMI Commodity Shipments under DELIVER - PMI Commodity Shipments under PSM, and - PMI Product Status (PPRMmFY13-FY2018) Two datasets are with restrictions and not open for general public use: - PMI Product Harmonization_GF inputs - Restricted Public. Disclosure is prohibited unless approved by GC and subject to a Data Use Agreement. - PMI Stockout Rates - Non-Public. Disclosure outside USAID is prohibited. The data asset also includes summary reports in pdf format both on procurement and on malaria treatment.

The President's Malaria Initiative (PMI) Malaria Operating Plan (MOPS) planning data file contains budget code information for projects listing the successful provider along with the associated budget and activity description. The data contain information on acquisition/procurement plans for implementing partners during FY2018. Quantities for PMI commodities are reported; these include RDT (Rapid Diagnostic Tests), ACT (Artemisinin-based Combination Therapies) doses, and LLIN (Long-lasting Insecticidal Nets). It also includes planned spending to strengthen pharmaceutical regulation, improve entomological monitoring and develop integrated training curriculum. Procurement quantities with unit costs are reported for various partners. These data elements have been made available since 2006.

Data from PMI Impact Malaria (IM) advanced Malaria Diagnostic Refresher Training (aMDRT). IM supported the training and capacity building of laboratory technicians in the Democratic Republic of the Congo.

This data asset contains data from clinical mentoring in Kenya that was conducted between 2020 and 2023. IM supported NMCP with data collection in different counties in Kenya. A digital version of the clinical mentorship checklists was used to collect data from the health facilities. The dataset contains aggregated data by county for the percentage of healthcare workers with a competency score ≥90%, median score, minimum and maximum score (providing the range of scores) for each of the clinical mentorship indicators measuring competency.

This data set is from 3 surveys conducted in two districts in western Kenya following the scale up of insecticide treated nets and the implementation of IRS in one of the districts.

Background Plasmodium falciparum malaria, is a major health problem in forested tribal belt of central India. Rapid and accurate methods are needed for the diagnosis of P. falciparum. We performed a blinded evaluation of the recently introduced Determine™ malaria pf test (Abbott, Laboratories, Japan) compared with microscopy and splenomegaly in children in epidemic prone areas of district Mandla to assess the impact of intervention measures. Methods Children aged 2–10 yrs with and without fever were examined for spleen enlargement by medical specialist by establishing a mobile field clinic. From these children thick blood smears were prepared from finger prick and read by a technician. Simultaneously, rapid tests were performed by a field lab attendant. The figures for specificity, sensitivity and predictive values were calculated using microscopy as gold standard. Results In all 349 children were examined. The sensitivity and specificity for Determine rapid diagnostic test were 91 and 80% respectively. The positive predictive values (PPV), negative predictive values (NPV) and accuracy of the test were respectively 79, 91 and 85%. On the contrary, the sensitivity and specificity of spleen in detecting malaria infection were 57 and 74 % respectively with PPV of 73%, NPV 59 % and an accuracy of 65%. Conclusions Determine™ malaria rapid diagnostic test is easier and quicker to perform and has other advantages over microscopy in not requiring prior training of personnel or quality control. Thus, highlighting the usefulness of a rapid antigen test in assessing prevailing malaria situation in remote areas.

This data asset contains the performance monitoring data for the Medicines, Technologies and Pharmaceutical Services (MTaPS) program from project year 6 quarter 1, which covered the period from October to December 2023. The purpose of this data is to measure the performance of the MTaPS program against program targets in order to determine the results of activity implementation and plan future activities. The goal of the MTaPS program is to strengthen pharmaceutical systems in low- and middle-income countries and ensure access to medicines at affordable prices.

Background Much communicable disease control research has had little impact on local control programme policy and practice for want of an operational component. The operational research model – the systematic search for knowledge on interventions, tools or strategies that enhance programme effectiveness – is gaining recognition as an appropriate method for addressing perplexing questions within public health programmes. Methods A series of operational research studies were conducted to refine malaria diagnosis in Mpumalanga Province, South Africa between 1995 and 1999. The grounded theory approach was used with groups of experienced Masters of Public Health students in South Africa and Australia to analyse a compilation of these studies for determining positive and negative attributes of operational research that affect its ability to influence communicable disease control policy and practice. Results The principal positive attributes of the operational research studies were high local relevance, greater ability to convince local decision-makers, relatively short lag-time before implementation of findings, and the cost-effective nature of this form of research. Potential negative features elicited included opportunities forfeited by using scarce resources to conduct research and the need to adequately train local health staff in research methodology to ensure valid results and accurate interpretation of findings. Conclusions Operational research effectively influenced disease control policy and practice in rural South Africa, by providing relevant answers to local questions and engaging policy-makers. This resulted in accelerated inclusion of appropriate measures into a local communicable disease control programme.

This was a prospective, cluster randomized, two-arm, , parallel group study, conducted between September 2016 and June 2018 to investigate whether screening for malaria with RDT and treating all pregnant women with a positive result using AL was protective against malaria compared to pregnant women receiving only symptomatic malaria case management as part of routine care. The facilities in each study arm were randomized to participate using a pair-matched design whereby matched pairs were created based on ANC client load and geography, and within each matched pair, one facility was randomized to the intervention and another to the routine care arm.

This data asset contains post-marketing surveillance (PMS) data collected to monitor the quality of medicines that are in circulation in low- and middle-income countries as part of the Promoting the Quality of Medicines (PQM) program (2009-2019). The PMS data were collected on a regular basis to estimate the proportion of substandard and falsified medicines available at different points of the regulated and informal distribution systems in a country. Five rounds of data were collected in Nigeria. One dataset refers to Burma (Myanmar).