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1.	Dan-Nwafor, C, et al. (author) Nigeria's public health response to the COVID-19 pandemic: January to May 2020 2020 In: Journal of global health. - 2047-2986. ; 10:2, s. 020399- Journal article (peer-reviewed)
2.	Omokungbe, Opeyemi R., et al. (author) Analysis of the variability of airborne particulate matter with prevailing meteorological conditions across a semi -urban environment using a network of low-cost air quality sensors 2020 In: Heliyon. - : Elsevier BV. - 2405-8440. ; 6:6 Journal article (peer-reviewed)abstract The concentrations of fine and coarse fractions of airborne particulate matter (PM) and meteorological variables (wind speed, wind direction, temperature and relative humidity) were measured at six selected locations in Ile Ife, a prominent university town in Nigeria using a network of low-cost air quality (AQ) sensor units. The objective of the deployment was to collate baseline air quality data and assess the impact of prevailing meteorological con- ditions on PM concentrations in selected residential communities downwind of an iron smelting facility. The raw data obtained from OPC-N2 of the AQ sensor units was corrected using the RH correction factor developed based k -Kohler theory. This PM (corrected) fast time resolution data (20 s) from the AQ sensor units were used to create daily averages. The overall mean mass concentrations for PM2.5 and PM10 were 213.3, 44.1, 23.8, 27.7, 20.2 and 41.5 mu g/m(3) and; 439.9, 107.1, 55.0, 72.4, 45.5 and 112.0 mu g/m(3) for Fasina (Iron -Steel Smelting Factory, ISSF), Modomo, Eleweran, Fire Service, O.A.U. staff quarters and Obafemi Awolowo University Teaching and Research Farm (OAUTRF), respectively. PM concentration and wind speed showed a negative exponential distribution curve with the lowest exponential fi t coef ficient of determination (R-2) values of 0.08 for PM2.5 and 0.03 for PM10 during nighttime periods at Eleweran and Fire service sites, respectively. The relationship between PM concen- tration and temperature gave a decay curve indicating that higher PM concentrations were observed at lower temperatures. The exponential distribution curve for the relationship between PM concentration and relative humidity (RH) showed that PM concentrations do not vary for RH 80 % while stronger relationship was noticed with higher PM concentration for RH 80 % for both day and nighttime. The performances of the MLR model were slightly poor and as such not too reliable for predicting the concentration but useful for improving predictive model accuracy when other variables contributing to the variability of PM is considered. The study concluded that the anthropogenic and industrial activities at the smelting factory contribute signi ficantly to the elevated PM mass concentration measured at the study locations.
3.	Shah, A, et al. (author) Cesarean delivery outcomes from the WHO global survey on maternal and perinatal health in Africa 2009 In: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics. - : Wiley. - 1879-3479. ; 107:3, s. 191-197 Journal article (peer-reviewed)
4.	Shah, A, et al. (author) Methodological considerations in implementing the WHO Global Survey for Monitoring Maternal and Perinatal Health 2008 In: Bulletin of the World Health Organization. - 0042-9686. ; 86:2, s. 126-131 Journal article (peer-reviewed)

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Type of publication: journal article (4)

Type of content: peer-reviewed (4)

Author/Editor: Kublickas, M (2); Shah, A (2); Hassan, A (1); Abubakar, I (1); Abubakar, A (1); Naidoo, D (1); show more...; Nwachukwu, W (1); Ochu, CL (1); Igumbor, E (1); Agogo, E (1); Aruna, O (1); Aderinola, O (1); Ahumibe, A (1); Arinze, C (1); Obiekea, C (1); Ofoegbunam, C (1); Ogunbode, O (1); Yashe, R (1); Disu, Y (1); Namara, G (1); Okwor, T (1); Ibekwe, P (1); Oladejo, J (1); Ilori, E (1); Ihekweazu, C (1); Elimian, K (1); Villar, J (1); Abayomi, A (1); Donner, A. (1); Langer, A (1); Velasco, A (1); Carroli, G (1); Faundes, A. (1); Dan-Nwafor, C (1); Umeokonkwo, C (1); Steinhardt, L (1); Wagai, J (1); Mba, N (1); Dalhat, M (1); Jinadu, K (1); Badaru, S (1); Jafiya, A (1); Saleh, F (1); Yinka-Ogunleye, A (1); Muhammad, S (1); Ipadeola, O (1); Akatobi, C (1); Alagi, M (1); Crawford, E (1); Okunromade, O (1); show less...

University: Karolinska Institutet (3); Stockholm University (1)

Language: English (4)

Research subject (UKÄ/SCB): Natural sciences (1)

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