The Power of Data – CHAMPS Health
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The Power of Data

Turning Insights into Action

Explore the Data

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Neonatal Mortality

Percentage of neonatal deaths per site

Source: CHAMPS DeCoDe Panel

As of 2022 Sub-Saharan Africa had the highest rate of neonatal mortality with 27 deaths per 1000 live births with central and southern Asian having 21 deaths per 1000 live births. 75% of neonatal deaths occur within the first week of life; leading causes of death include premature birth, birth complications such as birth asphyxia/trauma, infections, and congenital abnormalities. At the current rate of reduction 64 countries will still fall short of meeting the 2030 Sustainable Development Goals target to reduce neonatal mortality [1] .

Neonatal Mortality

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Malnutrition

The effects of malnutrition on child mortality in developing countries.

Source: CHAMPS DeCoDe Panel

The CHAMPS Network gathers cause of death data for stillbirths and children under 5 in seven countries across sub-Saharan Africa and South Asia. Between 2016 and 2022, 1,336 cases had their cause of death determined. Using WHO Child Growth Standards, 73.8% of cases showed moderate-to-severe malnutrition, with 56.4% suffering from severe malnutrition at death. Malnutrition was the underlying cause of death in 319 cases, a contributing factor in 426 cases, and an immediate cause in 2 cases. Among the 426 cases, 77 were linked to HIV-related wasting syndrome.

Malnutrition

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Malaria

Number of deaths by site and proportion of deaths that had malaria anywhere in the causal chain.

Source: CHAMPS Minimally Invasive Tissue Sampling (MITS)

The CHAMPS Network collects cause of death data for stillbirths and children under 5 across seven countries in sub-Saharan Africa and South Asia. Since 2016, 5,894 cases have been examined using Minimally Invasive Tissue Sampling (MITS), with 4,661 cases having a cause of death identified. Malaria-related deaths were concentrated in Sierra Leone, Kenya, Mozambique, and Mali, with just one case in South Africa. No malaria deaths were reported in Ethiopia or Bangladesh.

Malaria

Four Levels of Data Access

Summarized data are updated in real-time and available to all on our web site with one click. These data provide summaries of the CHAMPS eligible and enrolled cases at each surveillance site, as well as determined causes of death across each of our sites. Cause of death data are categorized by Stillbirth, Neonate, and Infant and Child, and provide separate views for all causes of death, and infectious etiologies. Data summaries are updated daily.

CHAMPS Data Dashboards

De-identified data can be downloaded as a curated standard data set after registration and electronic acceptance of a Data Transfer Agreement (DTA).

Standard data set includes:

  • Case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results
  • Additional curated standard datasets in development
  • Data transformations performed to de-identify this dataset: Case identifiers replaced with surrogates; dates shifted; narrative/summary fields removed

To view documentation for the de-identified dataset prior to downloading, obtain descriptive metadata or the citation for the dataset, please visit the CHAMPS Dataverse and scroll to the bottom of the page.

To access the CHAMPS R package, visit our GitHub Portal. The package provides utilities to read and transform L2 s data into convenient formats, functions to compute several statistics of interest, and some utilities for presenting these statistics in various formats such as plots and HTML tables.

A curated limited data set is available following registration and execution of a Data Use Agreement (DUA). The delivery time for this data set is dependent on DUA execution, and is estimated at 4-8 weeks. Please request this data set via the link below and follow the instructions to complete and upload the Data Use Agreement (DUA).

Standard limited dataset includes:

  • Case demographics (including MITS measurements), verbal autopsy, DeCoDe results, TAC results, and lab results
  • Additional curated limited datasets in development
  • Data transformations performed to created this limited dataset: Case identifiers replaced with surrogates; narrative/summary fields removed

To view documentation for the limited dataset prior to downloading, obtain descriptive metadata or the citation, please visit the CHAMPS Dataverse and scroll to the bottom of the page.

To access the CHAMPS R package, visit our GitHub Portal. The package provides utilities to read and transform L2 data into convenient formats, functions to compute several statistics of interest, and some utilities for presenting these statistics in various formats such as plots and HTML tables.

Potentially identifiable datasets are only available via request. A CHAMPS staff member will contact you and provide further instructions once we receive your request.

A potentially identifying data set is available following registration, execution of a Data Use Agreement (DUA), and IRB approval. Timing is dependent on IRB approval and DUA execution, and is estimated at 3-6 months.

Privacy Constraints: Dependent on IRB approval – may include case photos, geo-location coordinates, free-text and narrative fields.