02756nas a2200241 4500000000100000000000100001008004100002653001200043653002100055653002000076653005600096653003300152100002100185700001900206700001500225700001900240700002100259700002200280245009500302300001000397490000700407520210000414 2018 d10acholera10aCivil protection10adata collection10aexpanded medical infrastructure vulnerability index10asocio-economic vulnerability1 aTatenda Chirenda1 aRoman Tandlich1 aViwe Krele1 aCatherine Luyt1 aChandra Srinivas1 aChidinma Iheanetu00aLegislation, Vulnerability and Disaster Risk Management of Waterborne Diseases in Zimbabwe a61-910 v403 a
The annual probabilities of droughts and floods in Zimbabwe averaged at 31.6 and 57.9 % between 1990 and 2014. Those disasters have accounted for 97.1 % of the disaster mortalities and for 99.7 % of the economic disaster losses in Zimbabwe. Occurrences of droughts and floods decrease the population’s access to sufficient volumes of drinking water. In addition, provision of safe drinking water and access to improved sanitation facilities have been declining among the population in Zimbabwe in recent years, as a result of breakdown in public services. These factors have contributed to outbreaks of infectious diseases, such as cholera. Therefore, the water, sanitation and hygiene (WASH) will play a significant role in the disaster management in Zimbabwe. In the current article, the authors seek to analyse the legislation and the WASH vulnerability angle of the disaster management system in Zimbabwe. Results of the legislation analysis indicate that the disaster management system in Zimbabwe incorporates tools to deal with epidemics and WASH-related outcomes of disasters in general. The key parts of legislation include the Civil Protection Act no. 22 of 2001, the Emergency Powers Act no. 572/1979 and the Public Health Act no. 899 of 1978. Disaster management across the territory of Zimbabwe is overseen by the Directorate of Civil Protection at the national level. The coordination is also carried out by the National Civil Protection Committee. Data gathering could be facilitated by training of the NGO staff and volunteers, using the data-collection tool developed by the authors. The number of healthcare professionals who provide care to the Zimbabwean population is not the main reason for the WASH-related disaster risk. This type of disaster risk could be partially explained by the weak correlation between the socio-economic vulnerability of the Zimbabwean population and the risk from WASH-related health outcomes of disasters in the country. Further studies will have to be conducted to investigate these vulnerability results in more detail.