Page 91 - IJPS-10-4

International Journal of
Population Studies Migration and child mortality estimation

Availability of data Hallett, T.B., Gregson, S., Kurwa, F., Garnett, G.P., Dube, S.,
Chawira, G., et al. (2010). Measuring and correcting biased
The original data used in this study are available from the child mortality statistics in countries with generalized
MEASURE DHS repository. It can be accessed through epidemics of HIV infection. Bulletin of the World Health
https://dhsprogram.com/data/. Organization, 88(10):761-768.
References https://doi.org/10.2471/BLT.09.071779
IBM. (2020). Statistical Package for the Social Sciences (Version
Andersson, G., & Drefahl, S. (2017). Long-distance migration
and mortality in Sweden: Testing the salmon bias and 26) [Computer Software]. United States: IBM Corporation.
healthy migrant hypotheses. Population, Space and Place, Issaka, A.I., Agho, K.E., & Renzaho, A.M.N. (2017). Correction:
23(4):e2032. The impact of internal migration on under-five mortality in
27 sub-Saharan African countries. PLoS One, 12(2):e0171766.
https://doi.org/10.1002/psp.2032
Arthur, W.B., & Stoto, M.A. (1983). An analysis of indirect mortality https://doi.org/10.1371/journal.pone.0171766
estimation. Population Studies (Camb), 37(2):301-314. Kenya National Bureau of Statistics (KNBS), & International
https://doi.org/10.1080/00324728.1983.10408752 Classification Function (ICF), Macro. (2015). Kenya
Demographic and Health Survey 2014. Maryland, USA:
Ayele, D.G., Zewotir, T., & Mwambi, H. (2016). Indirect child KNBS and Macro.
mortality estimation technique to identify trends of under-five
mortality in Ethiopia. African Health Sciences, 16(1):18-26. Kenya National Bureau of Statistics (KNBS), & International
Classification Function (ICF), Macro. (2015). Kenya
https://doi.org/10.4314/ahs.v16i1.3 Demography and Health Survey 2014. Maryland, USA:
Bangura, A.H., Ozonoff, A., Citrin, D., Thapa, P., Nirola, I., KNBS and Macro, p.111-112.
Maru, S., et al. (2016). Practical issues in the measurement Kimani-Murage, E.W., Fosto, J.C., Egondi, T., Abuya, B.,
of child survival in health systems trials: Experience Elungata, P., Ziraba, A.K., et al. (2014). Trends in childhood
developing a digital community-based mortality mortality in Kenya: The urban advantage has seemingly
surveillance programme in rural Nepal. BMJ Global Health, been wiped out. Health and Place, 29:95-103.
1(4):e000050.
https://doi.org/10.1016/j.healthplace.2014.06.003
https://doi.org/10.1136/bmjgh-2016-000050
Madise, N.J., Banda, E.M., & Benaya, K.W. (2003). Infant
Bocquier, P., Madise, N.J., & Zulu, E.M. (2011). Is there an urban mortality in Zambia: Socioeconomic and demographic
advantage in child survival in sub-Saharan Africa? Evidence correlates. Social Biology, 50(1-2):148-166.
from 18 countries in the 1990s. Demography, 48(2):531-558.
https://doi.org/10.1080/19485565.2003.9989069
https://doi.org/10.1007/s13524-011-0019-2
Neupert, R., Fernandez Menjivar, R.E., & Fernandez Castilla, R.E.
Brass, W., & Coale, A. (1968). Method of analysis and estimation. (2019). Indirect estimation of infant mortality in small areas.
In: The Demography of Tropical Africa. Princeton: Princeton Revista Brasileira de Estudos de População, 36:1-37.
University Press, p.88-139.
https://doi.org/10.20947/s0102-3098a0100
https://doi.org/10.1515/9781400877140-007
Otieno Onyango, E.B., Khasakhala, A., Agwanda, A.T.,
Brockerhoff, M. (1994). The impact of rural-urban migration on Kimani, M., & K’Oyugi, B. (2011). Effect of mother’s
child survival. Health Transition Review, 4(2):127-149.
migration on under-two mortality in Kenya. African
Coale, A.J., & Demeny, P. (1966). Regional Model Life Tables and Population Studies, 25(2):534-555.
Stable Populations. New Jersey: Princeton University Press.
https://doi.org/10.11564/25-2-245
Etikan, I., Babatope, O., Bala, K., & Ilgi, S. (2019). Child mortality: Rajaratnam, J.K., Tran, L.N., Lopez, A.D., & Murray, C.J.L. (2010).
A comparative study of some developing countries in the Measuring under-five mortality: Validation of new low-cost
world. International Journal of Clinical Biostatistics and methods. PLoS Medicine, 7(4):e1000253.
Biometrics, 5(2):022.
https://doi.org/10.1371/journal.pmed.1000253
https://doi.org/10.23937/2469-5831/1510022
Schmertmann, C.P., & Sawyer, D.O. (1996). Migration bias in
Government of Kenya. (1996). Kenya Economic Reforms for 1996-
1998: The Policy Framework Paper. Kenya: Government of indirect estimates of regional childhood mortality levels.
Mathematical Population Studies, 6(2):69-93.
Kenya.
https://doi.org/10.1080/08898489609525424
Govindasamy, P., Stewart, M.K., Rutstein, S.O., Boerma, J.T., &
Sommerfelt, A.E. (1993). High Risk Births and Maternal United Nations. (1983). Manual X: Indirect Techniques for
Care. Columbia MD: Macro International Inc. Demographic Estimations. New York: United Nations

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