Big Data Needs for Informing Childhood Investment Policies

Data often inform resource allocation to locations with poor health outcomes and policy creation to mitigate diseases known to cause the most deaths. Lack of data can cause communities and diseases to be neglected; these locations are often more remote and lack resources. Statistical models fill in data gaps by borrowing strength over time and space, but this requires an information base. To better analyze health outcomes and inform policy, we need data on all child health outcomes globally.