Abstract
A comprehensive literature review was conducted to create a new database of 197 field surveys of monthly malaria Entomological Inoculation Rates (EIR), a metric of malaria transmission intensity. All field studies provide data at a monthly temporal resolution and have a duration of at least one year in order to study the seasonality of the disease. For inclusion, data collection methodologies adhered to a specific standard and the location and timing of the measurements were documented. Auxiliary information on the population and hydrological setting were also included. The database includes measurements that cover West and Central Africa and the period from 1945 to 2011, and hence facilitates analysis of interannual transmission variability over broad regions.
Highlights
Despite increasing international efforts to reduce its burden, malaria is still a major health problem and a significant cause of mortality in low-income countries
In 2018 for instance, Africa alone accounted for 93% of the worldwide malaria cases and 94% of the global malaria deaths, of which 67% occurred in children under five years of age, and nearly 85% of the global malaria burden was concentrated in 20 countries in Sub-Saharan Africa and India [1]
To guard against errors that may occur during the manual procedures of the digitization process, all database entries were subjected to blind confirmation by a second individual who referred only to the original reference to ensure all Entomological Inoculation Rates (EIR) values, location coordinates, and population/hydrological classifications were correctly registered
Summary
Despite increasing international efforts to reduce its burden, malaria is still a major health problem and a significant cause of mortality in low-income countries. Changes in reporting rate may occur due to access to health facilities and according to the transmission setting, which can be impacted by interventions In addition to these issues, such data usually spans a relatively short period, covering at most the decade since digital health management information systems started replacing paper-based records [3], confounding efforts to study the impact of interannual and decadal climate variability. There are a considerable number of field surveys from the past three decades reported in open literature, which could collectively describe malaria transmission seasonality and interannual variability and provide a useful supplement to existing malaria databases. It provides some application use cases of the data and discusses the merits and limitations of the archived data
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