Determinants of demand for subsequent doses of pneumococcal and rotavirus vaccines for children less than five years of age in Ghana
Keywords:Child Health, Demand, Pneumococcal Vaccine, Rotavirus Vaccine, Ghana.
The mortality of children which has pneumonia and diarrhoea as some of its major causes remains a major concern for all countries of which Ghana is no exception. Ghanaâ€™s current child mortality rate is far above the sustainable development goal 3.2. However, given that vaccination is one of the most effective ways of preventing childhood diseases, it was surprising that, the 2014 Ghana demographic and health survey (GDHS) report showed a falling up-take or coverage in the successive doses of the pneumococcal (pneumonia vaccine) and rotavirus (diarrhoea vaccine) vaccines among children in Ghana. This study therefore using data from the childrenâ€™s recode file of the 2014 GDHS, investigated the determinants of demand for subsequent doses of the pneumococcal and rotavirus vaccines for children in Ghana by employing the binary probit model. The study among other findings revealed that, unemployed mothers were less likely to demand for the subsequent and initial doses of both the pneumococcal and rotavirus vaccines for their children. Also male household heads were revealed to be less likely to demand for all the doses of the rotavirus vaccines for children. In addition, single mothers were also revealed to be less likely to demand for all the subsequent doses of the pneumococcal and rotavirus vaccines. Therefore targeting unemployed and single mothers as well as women empowerment through job opportunities coupled with public education, especially of household heads, would serve as effective tools in tackling the falling demand for subsequent doses of the pneumococcal and rotavirus vaccines for children in Ghana.
 Bosu KW, Ahelegbe D, Edum-Fotwe E, Bainson AK & Turkson KP (1997) Factors influencing attendance to immunization sessions for children in a rural district of Ghana. Acta Tropica 68, 259â€“267, Elsevier. http://dx.doi.org/10.1016/S0001-706X(97)00094-6.
 Cockcroft A, Usman UM, Nyamucherera FO, Emory H, Duke B, Umar AN & Andersson N (2014) Why children are not vaccinated against measles: a cross-sectional study in two Nigerian States. Archives of Public Health, 72(48). Retrieved from http://www.archpublichealth.com/content/72/1/48. http://dx.doi.org/10.1186/2049-3258-72-48.
 Duah-Owusu M (n.d.) Social Determinants and Immunisation in Ghana: Is there an Association? Unpublished MPhil Thesis, University of Bergen research centre for health promotion and development, faculty of psychology.
 Dwumoh D, Essuman EE & Afagbedzi KS (2014) Determinant of factors associated with child health outcomes and service utilization in Ghana: multiple indicator cluster survey conducted in 2011. Archives of Public Health, 72(42). Retrieved from http://www.archpublichealth.com/content/72/1/42
 Matthews Z & Diamond I (1997) Child Immunisation in Ghana: The Effects of Family, Location and Social Disparity, Journal of Biosocial Science, 29(03), 327 â€“ 343. DOI: null, Published online: 04 April 2001.
 McGlynn KN (2012) Antenatal Care as a Determinant of Immunization, and Appropriate Care for Fever and Diarrhoea in Ghanaian Children. Unpublished MSc Thesis in Epidemiology & Biostatistics, the School of Graduate and Postdoctoral Studies, the University of Western Ontario, London, Ontario, Canada.
 Grossman M (2000) The Human Capital Model. In Handbook of Health Economics, 1A, 347-408, edited by Anthony J. Culyer and Joseph P. Newhouse. Amsterdam: Elsevier.
 Grossman M (1999) the Human Capital Model and the Demand for Health. NBER Working Paper No. 7078.
 Grossman M (1972a) on the concept of health capital and the demand for health. Journal of Political Economy 80, 223-255. http://dx.doi.org/10.1086/259880.
 Grossman M (1972b) the Demand for Health: A Theoretical and Empirical Investigation. Columbia University Press for the National Bureau of Economic Research, New York.
 Ghana Health Service (n.d.). 2014 Family Health Annual Report.
 Ghana Statistical Service (GSS), Ghana Health Service (GHS) & ICF International. (2015) Ghana Demographic and Health Survey 2014. Rockville, Maryland, USA: GSS, GHS, and ICF International.
 Ibnouf AH, Van den Borne HW & Maarse JAM (2007) Factors influencing immunisation coverage among children under five years of age in Khartoum State, Sudan. South African Family Practice, 49(8), 14-14f. http://dx.doi.org/10.1080/20786204.2007.10873611.
 Lakew Y, Bekele A, & Biadgilign S (2015) Factors influencing full immunization coverage among 12â€“23 months of age children in Ethiopia: evidence from the national demographic and health survey in 2011. BMC Public Health, 15(728). http://dx.doi.org/10.1186/s12889-015-2078-6.
 Logullo P, de Carvalho BH, Saconi R, & Massad E (2008) Factors affecting compliance with the measles vaccination schedule in a Brazilian city, Sao Paulo. Sao Pauloâ€™ Med J., 126(3), 166-71.
 Otieno AN, Nyawanda OB, Audi A, Emukule G, Lebo E, Bigogo G, Ochola R, Muthoka P, Widdowson M-A, Shay KD, Burton CD, Breiman FR, Katz AM & Mott AJ (2014) Demographic, socio-economic and geographic determinants of seasonal influenza vaccine uptake in rural western Kenya, 2011. Vaccine 32, 6699â€“6704. Retrieved from http://dx.doi.org/10.1016/j.vaccine.2013.10.089.
 Russo G, Miglietta A, Pezzotti P, Biguioh MR, Mayaka BG, Sobze SM, Stefanelli P, Vullo V & Rezza G (2015) Vaccine coverage and determinants of incomplete vaccination in children aged 12â€“23months in Dschang, West Region, Cameroon: a cross-sectional survey during a polio outbreak. BMC Public Health, 15(630). http://dx.doi.org/10.1186/s12889-015-2000-2.
 UNICEF (2012) Pneumonia and Diarrhoea: Tackling the deadliest diseases for the worldâ€™s poorest children. Three United Nations Plaza, New York, NY 10017 USA.
 UNICEF/WHO (2009) Diarrhoea: Why Children are still dying and what can be done.
 UN (2015) the Millennium Development Goals Report 2015.
 UNDP & GOG/NDPA (2015) 2015 Ghana Millennium Development Goals report.
 Williams, R. (2012). Using the margins command to estimate and interpret adjusted predictions and marginal effects. The Stata Journal, 12(2), 308â€“331.