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Showing 3 out of a total of 3 results for collection: Department of Statistics.
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RNA-Seq of untreated wastewater to assess COVID-19 and emerging and endemic viruses for public health surveillance
Stockdale, S.R.
;
Blanchard, A.M.
;
Acheampong, E.
;
et al.
(
Elsevier Ltd
,
2023
)
Best-worst scaling in studying the impact of the coronavirus pandemic on health professionals in Ghana
Nyarko, E.
;
Arku, D.
;
Duah, G.
(
Model Assisted Statistics and Applications
,
2023
)
SARS‑CoV‑2 incidence monitoring and statistical estimation of the basic and time‑varying reproduction number at the early onset of the pandemic in 45 sub‑Saharan African countries
Oduro, M.S.
;
Arhin‑Donkor, S.
;
Asiedu, L.
;
Kadengye, D.T.
;
Iddi, S.
(
BMC Public Health
,
2024
)
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Author
Acheampong, E. (1)
Arhin‑Donkor, S. (1)
Arku, D. (1)
Asiedu, L. (1)
Blanchard, A.M. (1)
Duah, G. (1)
et al. (1)
Iddi, S. (1)
Kadengye, D.T. (1)
Nyarko, E. (1)
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Subject
COVID-19 (3)
anxiety (1)
Basic reproduction number (1)
depression (1)
Endemic viruses (1)
health professionals (1)
Infectious disease (1)
RNA-Seq (1)
Sub-Saharan Africa (1)
Transmission (1)
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Date Issued
2023 (2)
2024 (1)
Has File(s)
Yes (3)