154 related articles for article (PubMed ID: 38556866)
1. Blood donation projections using hierarchical time series forecasting: the case of Zimbabwe's national blood bank.
Chideme C; Chikobvu D; Makoni T
BMC Public Health; 2024 Apr; 24(1):928. PubMed ID: 38556866
[TBL] [Abstract][Full Text] [Related]
2. The Impact of Age Group in Hierarchical Forecasting of Monthly Blood Donations in Zimbabwe.
Chideme C; Chikobvu D; Makoni T
Risk Manag Healthc Policy; 2024; 17():311-328. PubMed ID: 38356677
[TBL] [Abstract][Full Text] [Related]
3. Application of Time-Series Analysis and Expert Judgment in Modeling and Forecasting Blood Donation Trends in Zimbabwe.
Chideme C; Chikobvu D
MDM Policy Pract; 2024; 9(1):23814683231222483. PubMed ID: 38250667
[TBL] [Abstract][Full Text] [Related]
4. A forecasting model to estimate the drop in blood supplies during the SARS-CoV-2 pandemic in Italy.
Pati I; Velati C; Mengoli C; Franchini M; Masiello F; Marano G; Veropalumbo E; Vaglio S; Piccinini V; Pupella S; Liumbruno GM
Transfus Med; 2021 Jun; 31(3):200-205. PubMed ID: 33694217
[TBL] [Abstract][Full Text] [Related]
5. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.
Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ
J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932
[TBL] [Abstract][Full Text] [Related]
6. Improved neural network for predicting blood donations based on two emergent factors.
Li X; Ding X; Guo H; Zhang X
Transfus Clin Biol; 2023 May; 30(2):249-255. PubMed ID: 36708915
[TBL] [Abstract][Full Text] [Related]
7. Risk factors for HIV seropositivity among first-time blood donors in Zimbabwe.
McFarland W; Mvere D; Shamu R; Katzenstein D
Transfusion; 1998 Mar; 38(3):279-84. PubMed ID: 9563408
[TBL] [Abstract][Full Text] [Related]
8. Forecasting demand for blood products: Towards inventory management of a perishable product.
Thakur SK; Sinha AK; Negi DK; Singh S
Bioinformation; 2024; 20(1):20-28. PubMed ID: 38352907
[TBL] [Abstract][Full Text] [Related]
9. Forecasting COVID-19 Hospital Census: A Multivariate Time-Series Model Based on Local Infection Incidence.
Nguyen HM; Turk PJ; McWilliams AD
JMIR Public Health Surveill; 2021 Aug; 7(8):e28195. PubMed ID: 34346897
[TBL] [Abstract][Full Text] [Related]
10. Prevention of multiple whole blood donations by an individual at the same month through the creation of a national Deferred Donor Registry (DDR).
Bermúdez-Forero MI; Anzola-Samudio DA; Levi JE; García-Otálora MA
Transfus Apher Sci; 2023 Oct; 62(5):103767. PubMed ID: 37507271
[TBL] [Abstract][Full Text] [Related]
11. Predicting future blood supply and demand in Japan with a Markov model: application to the sex- and age-specific probability of blood donation.
Akita T; Tanaka J; Ohisa M; Sugiyama A; Nishida K; Inoue S; Shirasaka T
Transfusion; 2016 Nov; 56(11):2750-2759. PubMed ID: 27595917
[TBL] [Abstract][Full Text] [Related]
12. The impact of blood campaigns using mobile blood collection drives on blood supply management during the COVID-19 pandemic.
Halawani AJ
Transfus Apher Sci; 2022 Jun; 61(3):103354. PubMed ID: 35042671
[TBL] [Abstract][Full Text] [Related]
13. Comparison of Time Series Methods and Machine Learning Algorithms for Forecasting Taiwan Blood Services Foundation's Blood Supply.
Shih H; Rajendran S
J Healthc Eng; 2019; 2019():6123745. PubMed ID: 31636879
[TBL] [Abstract][Full Text] [Related]
14. Predicting Blood Donations in a Tertiary Care Center Using Time Series Forecasting.
Bischoff F; Koch MDC; Rodrigues PP
Stud Health Technol Inform; 2019; 258():135-139. PubMed ID: 30942730
[TBL] [Abstract][Full Text] [Related]
15. Developing forecasting model for future pandemic applications based on COVID-19 data 2020-2022.
Wan Mohamad Nawi WIA; K Abdul Hamid AA; Lola MS; Zakaria S; Aruchunan E; Gobithaasan RU; Zainuddin NH; Mustafa WA; Abdullah ML; Mokhtar NA; Abdullah MT
PLoS One; 2023; 18(5):e0285407. PubMed ID: 37172040
[TBL] [Abstract][Full Text] [Related]
16. Forecasting Ontario's blood supply and demand.
Drackley A; Newbold KB; Paez A; Heddle N
Transfusion; 2012 Feb; 52(2):366-74. PubMed ID: 21810099
[TBL] [Abstract][Full Text] [Related]
17. Trend of blood donors entering the coronavirus pandemic era and challenges: Age-period-cohort analysis using 75.5 million all blood donations data during 2006-2020 in Japan.
Imada H; Akita T; Sugiyama A; Tanaka J
Transfusion; 2023 Jun; 63(6):1184-1194. PubMed ID: 37158239
[TBL] [Abstract][Full Text] [Related]
18. Impact of the COVID-19 pandemic on blood donation and transfusions in the United States in 2020.
Basavaraju SV; Free RJ; Chavez Ortiz JL; Stewart P; Berger J; Sapiano MRP
Transfusion; 2023 Oct; 63 Suppl 4(Suppl 4):S1-S7. PubMed ID: 37052192
[TBL] [Abstract][Full Text] [Related]
19. The influence of the COVID-19 pandemic on blood donation and supply in China.
Yu SC; Yao YT;
Transfus Med; 2024 Apr; 34(2):124-135. PubMed ID: 38151821
[TBL] [Abstract][Full Text] [Related]
20. Vaccine-incentivized blood donation: A survey of public perceptions in Canada.
Stoklosa K; Elfaki LA; Ding C; Sachal SS; Escuadro RJG; Tu K
Vox Sang; 2023 Aug; 118(8):624-636. PubMed ID: 37381906
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
