Total area predicted suitable and population living in suitable areas for Buruli ulcer, M. ulcerans, and both, by country in African continent
Simpson, H
, Tabah, EN, Phillips, RO, Frimpong, M, Maman, I, Ampadu, E, Timothy, J, Saunderson, P, Pullan, RL and Cano, J
(2021).
Total area predicted suitable and population living in suitable areas for Buruli ulcer, M. ulcerans, and both, by country in African continent.
[Dataset].
PLOS Neglected Tropical Diseases.
https://doi.org/10.1371/journal.pntd.0009157.s019
, Tabah, EN, Phillips, RO, Frimpong, M, Maman, I, Ampadu, E, Timothy, J, Saunderson, P, Pullan, RL and Cano, J
(2021).
Total area predicted suitable and population living in suitable areas for Buruli ulcer, M. ulcerans, and both, by country in African continent.
[Dataset].
PLOS Neglected Tropical Diseases.
https://doi.org/10.1371/journal.pntd.0009157.s019
Total area predicted suitable and population living in suitable areas for Buruli ulcer, M. ulcerans, and both, by country in African continent. WM = weighted mean prediction across final ensemble model; LB = lower bound of prediction; UB = upper bound of prediction BU = Buruli Ulcer; MU = Mycobacterium ulcerans; CAR = Central African Republic; DRC = Democratic Republic of the Congo.
Keywords
Buruli ulcer, Mycobacterium ulcerans, Africa, Ecological niches, Artificial neural networks, Bacterial pathogens, Cameroon, Rivers| Item Type | Dataset |
|---|---|
| Capture method | Compilation/Synthesis, Summary, Aggregation |
| Date | 3 March 2021 |
| Language(s) of written materials | English |
| Creator(s) |
Simpson, H, Tabah, EN, Phillips, RO, Frimpong, M, Maman, I, Ampadu, E, Timothy, J, Saunderson, P, Pullan, RL and Cano, J
|
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Disease Control |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 21 Apr 2021 10:28 |
| Last Modified | 08 Jul 2021 12:52 |
| Publisher | PLOS Neglected Tropical Diseases |
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