Significance of Granular Real Time Data for studying ground realities, addressing gaps in governance, and for measuring impact

Resham Badri, Pratima Joshi
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Abstract

Sanitation interventions within slums have typically focussed on the health risks of insufficient access to sanitation, the significance of understanding the context has always been neglected. This study examines the range of usage of data collected, analysed and put to use to pave way for systematic, informed and targeted service deliveries such as household sanitation. It also sheds light on spatial real-time granular data being the foundation for not just measuring high scale impacts of interventions but also for evidence based challenges to stereotypes that are entrenched in society’s psyche. A household level survey covering 463 households across four urban areas of Maharashtra namely: Kolhapur, Navi-Mumbai, Pimpri-Chinchwad, and Pune, involved 2,414 respondents in the pre-intervention survey while 2,306 respondents in the post-intervention survey. We found that household sanitation has had an overwhelming impact on not just the tier one cities where we surveyed but also the awareness levels of tier two cities have been very high and interesting to observe. A better understanding of the wide spectrum that each data set offers in studying slum level and household level demographics, character, behaviour, context, aspirations, and background is needed to enable context-specific, gender-sensitive and sustainable sanitation interventions.
粒度实时数据对于研究实际情况、解决治理中的差距和衡量影响的重要性
贫民窟内的卫生干预措施通常侧重于卫生设施不足带来的健康风险,而了解背景的重要性一直被忽视。本研究考察了收集、分析和使用的数据的使用范围,以便为系统、知情和有针对性的服务提供铺平道路,例如家庭卫生。它还揭示了空间实时颗粒数据不仅是衡量干预措施的大规模影响的基础,也是基于证据挑战根深蒂固的社会心理陈规定型观念的基础。一项家庭层面的调查涵盖了马哈拉施特拉邦四个城市地区的463个家庭,即科尔哈布尔、纳维-孟买、皮姆里-钦赫瓦德和浦那,干预前调查涉及2,414名受访者,干预后调查涉及2,306名受访者。我们发现,家庭卫生不仅对我们调查的一线城市产生了巨大的影响,而且对二线城市的意识水平也非常高,观察起来很有趣。需要更好地了解每个数据集在研究贫民窟和家庭层面的人口统计、特征、行为、背景、愿望和背景方面提供的广泛范围,以实现针对具体情况、对性别问题敏感和可持续的卫生干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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