Mpox
WHO Africa Weekly Bulletin on Outbreaks and Other Emergencies - Week 42 : 12 - 18 October 2020
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The Weekly Bulletins focus on public health emergencies in the WHO African Region, including acute disease outbreaks, natural disasters, and humanitarian crises. The bulletins cover new and ongoing events. Brief summaries of all currently monitored events are presented.
For selected key events, a longer description with public health measures implemented and an interpretation of the situation are provided.
Mpox Environmental Suitability and Spillover Potential Geospatial Estimates
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- Subnationally representative
This dataset includes predictions for the environmental suitability of Mpox (MPX) transmission at the monthly level, as well as calculations of spillover potential in humans which combines the suitability estimates and human population data. This dataset also includes an occurrence database with data extracted from a literature search and data extraction and from two epidemic bulletins: one from the WHO on all reportable diseases across Africa, updated weekly, and one from Nigeria CDC specifically on Mpox, updated intermittently.
The dataset includes the following:
- GeoTIFF raster files for pixel-level environmental suitability mean and uncertainty, and at-risk areas, 2016
- CSV files of each administrative level 2 units’ spillover potential estimates for 2016
- Extracted occurrence data
- Code files and custom polygons used to generate the estimates
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Geopositioned Mpox Occurrences Database 1972-2019
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- GPS coordinates (GIS)
This dataset contains 674 rows of mpox occurrences extracted from 83 sources published between 1972 and 2019. Both animal and human occurrences were extracted; human occurrences were additionally classified as one of the following: index, unspecified, import, or secondary. All occurrences of mpox, both animal and human, were geo-located to the highest resolution possible (up to 5x5 km when possible). Extractors paid special attention to instances of spillover (i.e., when a human becomes infected from an animal). Therefore, all human occurrences classified as ‘index’ are assigned their own rows. Other human occurrences (unspecified, import, secondary) and animal occurrences are collapsed to one row in the dataset where all metadata are identical.