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Discussion and Implications

Dalam dokumen Female Genital Mutilation around The World: (Halaman 105-110)

The main aim of presenting the findings about the above four countries was to show how the picture about FGM appears contrasting at regional and sub-regional level in each selected country. The intention was to demonstrate and contrast the cultural mix. The findings mean that in West Africa (typified by Nigeria) the FGM preva- lence was on the increase whereas the situation in North Africa (e.g. Egypt) and West Africa (e.g. Senegal) and Central Africa (as exemplied by the Central African Republic) showed signs of slight decrease. The main lesson can be discussed in terms of national, sub-national as well as regional levels for each of the countries discussed. Besides lessons can also be drawn in terms of the socio-economic and cultural predictors of FGM for the four countries.

From the point of view of national trends, the overall prevalence for Egyptian women aged 15–49, for example, was estimated at 91.9% between 1995 and 2008, which differs slightly between the surveys. As pointed out in various analyses of DHS data in the four countries, behind these national averages lurk important varia- tions within countries. The highest FGM/C prevalence just noted in the case of Egypt appears to be an indication of the situation at the national level only, but at the sub-national plane within that country the range of FGM/C varied from 22.0% in Matrouh, 70.6% in North Sinai, 99.0% in Qena and 99.9% in Al Sharqia. These within country variations were also observed in Nigeria, Senegal and C.A.R. These variations are better investigated using our spatial analysis approach.

Moving now to the sub-national and regional trends within countries, it is remarkable that between 1995 and 2014 inclusive, the FGM/C rates observed (see the spread of maps for each of the countries) the steady increase in prevalence is the key feature noted in the case of Nigeria (West Africa). But the dataset points to a different story in relation to Egypt (North Africa), Senegal (West Africa) and the C.A.R—where the prevalence has decreased but only to a lesser degree. On balance, the FGM/C practice persists in the sense that the rates remain largely similar to what they were decades ago. This appears the case despite years of investment in cam- paigns designed to root out the practice. This lack of any substantial reduction is a serious cause for concern and it is something that is supported by an examination of standard deviation prediction maps of the predicted posterior. In other words, the findings mean that within each country a shift has occurred from lower FGM/C rates in the previous years to higher rates and vice versa. One could legitimately ask what factors might explain this upward trend and shift. It is a question, which goes far beyond the proper scope of this chapter. But, we can note, en passant, that the shift in attitude in countries like Senegal and others demonstrates these countries willingness to effectively ban FGM/C and avert the excruciating burden that this practice imposes on these countries. By contrast, in the case of regions where the change in attitude has been slow, much could be ascribed to the weight of traditions which are difficult to reform or abandon—especially in the light of the fact that many FGM/C-prone groups continue to refer to FGM as a route to a good marriage or a part and parcel of religious instructions.

As far as the socio-economic and cultural predictors of FGM/C in the four coun- tries are concerned, it is clear from existing studies that a slight decline has occurred in the subsequent years after 2014, although we must hasten to note the significant variations within regional and ethnic estimates. From the statistical point of view, therefore, the likelihood of FGM/C remains significantly higher among those popu- lations with no education. This was notably in the case among respondents within some ethnic groups-such as those in Northern parts of Nigeria, which is home to rural and poorer households. Here and in similar settings-as indicated by the prob- ability maps or standard deviations of the predicted posterior- the total residual spatial effects prove significant. For example, on the one hand, we note that the posterior probability maps of FGM/C risk are estimated at a 95 % credible interval.

The areas shaded in black on the maps suggest a significantly positive spatial effect associated with higher FGM/C risk. On the other hand, we observed from the maps that the areas shaded in white denote a significantly negative spatial effect, implying lower FGM/C risk. The remainders of the areas shaded in gray suggest that no sig- nificant effect exists with respect to FGM/C risk. The overall message is that the pattern of risk associated with FGM/C can readily be observed in each country as well as at regional and sub-national levels.

The foregoing analysis implies that monitoring this practice using national pro- portions can mask within country variability. That approach hardly assists in the design and implementation of policies and interventions at the local level. These findings provide new evidence to support the use of GIS methods in order to model the complex phenomenon of FGM/C around the world.

Overall, the findings, through use of advanced statistical techniques and meth- ods, were made particularly interesting and evidently novel. They are novel because traditional and conventional statistical techniques using said fixed effects variables for the location hardly capture the complexity behind the FGM/C phenomenon.

What we set out to do here with spatial analysis techniques is to make sense of this complexity and to unearth what burden lays behind the reality represented by tradi- tional statistical methods—namely that there are more behind official accounts of decrease of FGM/C prevalence than the traditional methods can uncover. Thus, through use of advanced modeling techniques, we have disentangled the within country dynamics of FGM/C, having regard to the complexity of intermingly cul- tures where this practice has to a varying degree been the most important social norm. Based on those techniques and methods we have shown that the existing household survey data provides misleading cross-sectional descriptive results. Such results tell us nothing about the extent to which the FGM/C prevalence is either decreasing or increasing at the sub-national and regional level.

However, one could object that where the spatial analysis demonstrates the correlation between where people live, their ethnicity, religion and whether or not they perform FGM/C, there is a danger that such a conclusion may add fuel to ethnic and religious strife by adding another dimension of ‘othering’. One response to this objection is to argue that such a finding, however sensitive, is directed to policy makers and governments responsible for addressing FGM in those regions.

References

Adinma, J. (1997). Current status of female circumcision among Nigerian Igbos. West African Journal of Medicine, 16, 227–231.

Askew, I. (2005). Methological issues in measuring the impact of interventions against female genital cutting. Culture, Health and Sexuality, 7(5), 463–477.

Belitz, C., Brezger, A., Kneib, T., & Lang, S. (2012). BayesX software for Bayesian inference in structured additive regression models version 2.0.1.

Boerma, J. T., Black, R. E., Sommerfelt, A. E., Rustein, S. O., & Bicego, G. T. (1991). Accuracy and completeness of mother's recall of diarrhoea occurrence in pre-school children in demo- graphic and health surveys. International Journal of Epidemiology, 20, 1073–1080.

Bolstad, M. W., & Manda, O. S. (2001). Investigating child mortality in Malawi Using family and community random effects: A Bayesian analysis. Journal of American Statistical Associationt, 96(453), 12.

Borgoni, R., & Billari, F. C. (2003). Bayesian spatial analysis of demographic survey data: An application to contraceptive use at first sexual intercourse. Demographic Research, 8(3), 61–92.

Chilés, J. P., & Delfiner, P. (1999). Geostatistics: modeling spatial uncertainty, Wiley series in probability and statistics. New York: Wiley.

Creel, L. (2001). Abandoning female genital cutting: Prevalence, Attitudes, and efforts to end the practice. Washington, DC: Population Reference Bureau.

Dellenborg, L. (2007). Multiple meanings of female initiation: “Circumcision” among Jola women in Lower Casamance, Senegal. Gothenburg: Gothenburg University.

Diggle, P., Moyeed, R., Rowlingson, B., & Thomson, M. (2002). Childhood malaria in The Gambia: a case-study in model-based geostatistics. Journal of the Royal Statistical Society:

Series C (Applied Statistics), 51, 493–506.

Diggle, P. J., & Ribeiro, P. J. (2007). Model-based geostatistics. New York: Springer.

Diop-Diagne, A. (2008). Evaluation of the national plan of action for the abandonment of the practice of Female Genital Mutilation. Republic of Senegal, Minister of the Family, National Solidarity, and Feminine Entrepreneurship.

Draper, D. (2000). Bayesian hierarchical modeling. Tutorial presented at the sixth world meeting of the international society of Bayesian analysis, Creta, May 28, 2000.

Elmusharaf, S., Elhadi, N., & Almroth, L. (2006). Reliability of self reported form of female genital mutilation and WHO classification: cross sectional study. BMJ, 333(7559), 124–128.

Fahrmeir, L., & Lang, S. (2001). Bayesian inference for generalized additive mixed models based on Markov random field priors. Journal of the Royal Statistical Society: Series C (Applied Statistics), 50, 201–220.

Fahrmeir, L., Kneib, T., & Lang, S. (2004). Penalised structured additive regression for space-time data: A Bayesian perspective. Statistica Sinica, 14, 731–761.

Filmer, D., & Pritchett, L. (2001). Estimating wealth effects without expenditure data—Or tears:

An application to educational enrollments in States of India. Demography, 38(1), 115–132.

Freymeyer, R. H., & Johnson, B. E. (2007). An exploration of attitudes toward female genital cut- ting in Nigeria. Population Research and Policy Review, 26, 69–83.

Gruenbaum, E. (2001). The female circumcision controversy: An anthropological perspective.

Philadelphia: University of Pennsylvania Press.

Hennerfeind, A., Brezger, A., & Fahrmeir, L. (2006). Geoadditive survival models. Journal of the American Statistical Association, 101(475), 1065–1075.

Jackson, E.  F., Akweongo, P., Sakeah, A., Hodgson, R., Asuru, R., & Phillips, J.  E. (2003).

Inconsistent reporting of female genital cutting status in Northern Ghana: Explanatory factors and analytical consequences. Studies in Family Planning, 34(3), 200–210.

Kammann, E.  E., & Wand, M.  P. (2003). Geoadditive models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 52, 1–18.

Kandala, N. B., & Ghilagaber, G. (2006). A geo-additive Bayesian discrete-time survival model and its application to spatial analysis of childhood mortality in Malawi. Quality & Quantity:

International Journal of Methodology, 40(6), 935–957.

Kandala, N.-B., & Komba, P. N. (2015). Geographic variation of female genital mutilation and legal enforcement in sub-Saharan Africa: A case study of Senegal. The American Journal of Tropical Medicine and Hygiene, 92(4), 838–847.

Kandala, N. B., Magadi, M. A., & Madise, N. J. (2006). An investigation of district spatial varia- tions of childhood diarrhoea and fever morbidity in Malawi. Social Science & Medicine, 62, 1138–1152.

Kandala, N. B., Nwakeze, N., & Kandala, S. (2009). Spatial distribution of female genital mutila- tion in Nigeria. American Journal of Tropical Medicine and Hygiene, 81(5), 784–792.

Kandala, N.B., & Shell-Duncan, B. (2015). Trends in female genital mutilation/cutting in Senegal:

What can we learn from successive household surveys in sub-Saharan African countries?

Paper prepared for the Annual Meeting of the Population Association of America, Santiago, CA, April 30–May 2.

Klouman, E., Manongi, R., & Klepp, K. I. (2005). Self-reported and observed female genital cut- ting in rural Tanzania: Associated demographic factors, HIV and sexually transmitted infec- tions. Tropical Medicine and International Health, 10(1), 105–115.

Lang, S., & Brezger, A. (2004). Bayesian P-splines. Journal of Computational and Graphical Statistics, 13, 183–212.

Langford, I.  H., Leyland, A.  H., Rabash, J., & Goldstein, H. (1999). Multilevel modeling of the geographical distributions of diseases. Journal of the Royal Statistical Society: Series C (Applied Statistics), 48, 253–268.

Mackie, G. (2000). Female genital cutting: The beginning of the end. In B.  Shell-Duncan &

Y.  Hernlund (Eds.), Female “circumcision” in Africa: Culture, controversy, and change (pp. 253–283). Boulder, CO: Lynne Rienner Publishers.

Mackie, G., & LeJeune, J. (2009). Social dynamics of abandonment of harmful practices: A new look at the theory, Special series on social norms and harmful practices: Innocenti working paper no. 2009-06. Florence: UNICED Innocenti Research Centre.

Msuya, S.  E., Mbizvo, E., Hussain, A., Sundby, J., Sam, N.  E., & Stray-Pedersen, B. (2002).

Female genital cutting in Kilimanjaro, Tanzania: Changing attitudes? Tropical Medicine and International Health, 7(2), 159–165.

National Population Commission. (2004). Nigeria demographic an health survey 2003. Caverton, MD: Author.

Ndiaye, S., & Ayad, M. (2006). Enquête Démographique et de Santé au Sénégal 2005. Calverton, MD: Centre de Recherche pour le Développement Humain (Sénégal) et ORC Macro.

Nnorom, C. C. P. (2005). Female Genital Mutilation practice in Nigeria: Patterns, preference and remedies, 2005, 2(1).

Nwakeze, N. M. (2001). Economic decision-making power in the household: The case of Anambra women. Journal of Women Academics, 1(3), 124–134.

Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.

Rue, H., Martino, S., & Chopin, N. (2009). Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71, 319–392.

Shell-Duncan, B., Hernlund, Y., Wander, K., & Moreau, A. (2010). Contingency and change in the practice of female genital cutting: dynamics of decision making in Senegambia. Summary report, from http://csde.washington.edu/bsd

Shell-Duncan, B., Wander, K., Hernlund, Y., & Moreau, A. (2011). Dynamics of change in the practice of female genital cuttingin Senegambia: Testing predictions of social convention the- ory. Social Science and Medicine, 73, 1275–1283.

Shell-Duncan, B., Wander, K., Hernlund, Y., & Moreau, A. (2013). Legislating change? Responses to criminalizing female genital mutilation/cutting in Senegal. Law and Society Review, 47(4), 803–835.

Snow, R. C., Slanger, T. E., Okonofu, F. E., Oronsaye, F., & Wacker, J. (2002). Female genital cut- ting in sourthern urban and peri-urban Niveria: Self-reported validity, social determinants and secular decline. Tropical Medicine and International Health, 7(1), 91–100.

Spiegelhalter, D., Best, N., Carlin, B., & Van der Line, A. (2002). Bayesian measures of models complexity and fit. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64, 1–34.

Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & van der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64, 583–639.

Sylla, M., & Helene, S. (1990). Excision au Sénégal. Dakar: ENDA.

Tostan. (1999). Breakthrough in Senegal: Ending female genital cutting. TOSTAN, from www.

tostan.org

UNFPA-UNICEF. (2013). Joint evaluation, UNFPA-UNICEF joint programme on female genital mutilation/cutting: Accelerating change, 2008–2012. Country case study. Executive summary, Senegal.

UNICEF. (2010). Dynamics of social change: Toward the abandonment of female genital mutila- tion/cutting in five African countries. Florence: Innocenti Research Center.

UNICEF. (2013). Female genital mutilation/cutting: A statistical overview and exploration of the dynamics of change. New York: Author.

Yoder, P. S., Abderrahim, N., & Zhuzhani, A. (2004). Female genital cutting in the demographic and health surveys: A critical comparative analysis. Calverton, MD: Macro International.

Yoder, P. S., & Wang, S. (2013). Female genital cutting: The interpretation of recent DHS data (DHS Comparative Rep. No. 33). Calverton, MD: ICF International.

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Health Consequences of FGM/C

Dalam dokumen Female Genital Mutilation around The World: (Halaman 105-110)