Revelaing that the international community lacks the

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revelaing that the international community lacks the capacity to respond to a severe, sustained and geographically dispersed public health crisis; showing that community engagement, acceptance and ownership of the response matter; revealing that failure to respect peoples’ tradition is a recipe for failure; promoting the strong commitment of political leaders elicits citizens’ engagement; communicating Ebola protocols to the people. In fact, the West African EVD rekindled dynamism in the preparation, renewal and communication of Ebola protocols. 2.2. The Ebola virus disease in West Africa: Gender and children dimensions 2.2.1 Gender dimension Analysis of the gender dimension of the EVD is not only vital to examining the social aspect of the outbreak, but it also adds value to recovery efforts and programmatic interventions. Although not all officially available epidemiological data are disaggregated by gender and age in all the affected countries, 8 it is evident that women are heavily affected by EVD, both directly, by infection, and indirectly, by the associated social and economic impact. The number of EVD cases is higher among women than men in the three epicentre countries - 50.8 percent have been women, as of 7 January 2015. On per 100,000 population, women are more affected – 118 per 100,000 population against 115 for men. The gender disparity is more pronounced in Guinea and Sierra Leone; it is relatively lower in Liberia (figure 10). 9 However, evidence from a UNICEF report, at the early stage of the outbreak in Liberia, shows that men account for 25 percent, and women for more than 50 percent. 10 Table 1 also provide gender dimension of the infection cases. Guinea provides a good example of the gender dimension of EVD epidemiology. The epidemic affects more women (53%) than men (47%), a disparity that could be explained by the role of women within the family as the primary carers of the sick and thus more exposed to infection (UN, 2014). The situation is even worse at the sub-national level. 8 In Liberia and Sierra Leone, data collection tools for the gap analysis using a gender lens have been designed and adopted by UN Women and are in use for data collection at the community and household levels. Evidence from WHO databases has shown some significant improvement in this regard. 9 Disaggregation by gender and age group is challenging. The statistics in figure 10 do not reflect the total gender disaggregation; it only captures where where gender disaggregated information is known for Liberia, Sierra Leone and Guinea. See apps.who.int/gho/data/view.ebola-sitrep.ebola-summary-age-sex-20150107?lang=en 10 For more information, see SOCIO-ECONOMIC IMPACT OF EBOLA VIRUS DISEASE IN WEST AFRICAN COUNTRIES
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23 For instance, a high percentage of infected people are women in Gueckédou (62%) and Télémilé (74%). In Liberia, there are more fatality cases among women (55.2%) than among men (44.2%). In Sierra Leone, men and women are almost equally affected; as at 7 October 2014, around 50.6 percent of all confirmed
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