Zobrazeno 1 - 10
of 177
pro vyhledávání: '"O, Ayinde"'
Autor:
Bibilola D. Oladeji, Olatunde O. Ayinde, Toyin Bello, Lola Kola, Neda Faregh, Jibril Abdulmalik, Phyllis Zelkowitz, Soraya Seedat, Oye Gureje
Publikováno v:
International Journal of Mental Health Systems, Vol 17, Iss 1, Pp 1-13 (2023)
Abstract Background Task-shared care is a demonstrated approach for integrating mental health into maternal and child healthcare (MCH) services. Training and continued support for frontline providers is key to the success of task sharing initiatives.
Externí odkaz:
https://doaj.org/article/c7ed9aad5edc4545907e4cd28fdadcd0
Autor:
Ifeanyi-Obi, Chinwoke Clara, Issa, Fadlullah Olayiwola, Aderinoye-Abdulwahab, Sidiqat, O. Ayinde, Adefunke Fadilat, Umeh, Ogechi Jubilant, Tologbonse, Emmanuel Bamidele
Publikováno v:
International Journal of Climate Change Strategies and Management, 2022, Vol. 14, Issue 4, pp. 354-374.
Autor:
Chinwoke Clara Ifeanyi-Obi, Fadlullah Olayiwola Issa, Sidiqat Aderinoye-Abdulwahab, Adefunke Fadilat O. Ayinde, Ogechi Jubilant Umeh, Emmanuel Bamidele Tologbonse
Publikováno v:
International Journal of Climate Change Strategies and Management, Vol 14, Iss 4, Pp 354-374 (2022)
Purpose – This study aims to explore possible ways to promote uptake and integration of climate-smart agriculture (CSA)-Technologies, Innovations and Management Practices (TIMPS) into policy and practice in Nigeria through the development of action
Externí odkaz:
https://doaj.org/article/f2436d8349124b7c8fd1fc28eae1acec
Autor:
Lola Kola, Ian M. Bennett, Amritha Bhat, Olatunde O. Ayinde, Bibilola D. Oladeji, Dolapo Abiona, Jibril Abdumalik, Neda Faregh, Pamela Y. Collins, Oye Gureje
Publikováno v:
BMC Pregnancy and Childbirth, Vol 20, Iss 1, Pp 1-8 (2020)
Abstract Background Depression is a common and severe disorder among low-income adolescent mothers in low-and middle-income countries where resources for treatment are limited. We wished to identify factors influencing health service utilization for
Externí odkaz:
https://doaj.org/article/0b51e6e3342b48e1b6a23db1f8e66e35
Publikováno v:
Structures. 53:1196-1214
Publikováno v:
IEEE Access, Vol 7, Pp 63346-63360 (2019)
The energy in wireless sensor networks is considered a scarce commodity, especially in scenarios where it is difficult or impossible to provide supplementary energy sources once the initially available energy is used up. Even in cases where energy ha
Externí odkaz:
https://doaj.org/article/4ac0ed5f19034907be1958db7746a9df
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4463 (2022)
Intermittency of electrical power in developing countries, as well as some European countries such as Turkey, can be eluded by taking advantage of solar energy. Correct prediction of solar radiation constitutes a very important step to take advantage
Externí odkaz:
https://doaj.org/article/9b50bdd7c2e2485c8419e69f02b4f6f9
Testing for spillovers in naira exchange rates: The role of electioneering & global financial crisis
Autor:
Afees A. Salisu, Taofeek O. Ayinde
Publikováno v:
Borsa Istanbul Review, Vol 18, Iss 4, Pp 341-348 (2018)
This study offers a new dimension to the analysis of spillover transmission in foreign exchange markets by accounting for the role of electioneering in addition to the global financial crisis. It does so by using Nigeria as a case study whose electio
Externí odkaz:
https://doaj.org/article/65908c64110a440c8f52f13086df6b43
Autor:
Olatunde O. Ayinde, Bibilola D. Oladeji, Jibril Abdulmalik, Keely Jordan, Lola Kola, Oye Gureje
Publikováno v:
BMC Health Services Research, Vol 18, Iss 1, Pp 1-10 (2018)
Abstract Background Even though integrating mental health into maternal and child health (MCH) is widely accepted as a means of closing the treatment gap for maternal mental health conditions in low- and middle-income countries (LMIC), there are not
Externí odkaz:
https://doaj.org/article/ec00a28b1003435ca99fed4b107384cd
Autor:
Taofeek O. AYINDE, Farouq A. ADEYEMI
Publikováno v:
Energy RESEARCH LETTERS. 4
The study examines the global evidence of oil supply shocks and climate risks. Using the GARCH-MIDAS regression and a dataset spanning the period 2000 – 2018, we find that oil supply shocks are a better predictor of climate risks than the inherent