Constructing comparable intimate partner violence indicators across the DHS, MICS, and PMA health surveys

By Miriam King, Anna Bolgrien, Mehr Munir, and Devon Kristiansen

The three data series comprising IPUMS Global Health—IPUMS DHS, IPUMS PMA, and IPUMS MICS—contain intersecting subjects related to women’s and children’s health, while retaining distinct patterns of temporal and geographic coverage. This content overlap opens the door to combining harmonized data across the three surveys, to extend time series and/or increase the number of countries in comparative analyses. However, there are important yet subtle differences between these survey types, in sample frames, questionnaire wording, and variable responses and universes, which require cautious consideration. As the example below demonstrates, researchers must use extra care to avoid errors when combining data across IPUMS DHS, MICS, and PMA.

A July 2024 article in the Journal of Public Health Policy, “Constructing Comparable Intimate Partner Violence Indicators across DHS, MICS, and PMA Health Surveys,” describes some challenges and solutions to combining data across these IPUMS databases, using measures of intimate partner violence as an example. The piece, authored by Devon Kristiansen and colleagues at IPUMS, notes two necessary steps in combining data across survey types:

  • Identify and combine only variables with similar question wording
  • Adjust the samples to include only comparable subpopulations

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Harmonized Malaria Indicator Survey (MIS) Data Now in IPUMS DHS

By Miriam King, Senior Research Scientist

Malaria is a pressing global health problem, with nearly 250 million malaria cases in 2022, according to the World Health Organization. Approximately 95 percent of malaria deaths were in Africa, with three-quarters of those deaths to children under 5. Climate change is increasing the transmission of mosquito-borne diseases, such as malaria. When IPUMS DHS recently received supplemental funding to support research on Climate Change Effects on Health, adding data on malaria was a top priority. Specifically, IPUMS DHS chose to integrate data from the DHS Malaria Indicator Surveys (MIS).

MIS have been fielded in nearly 30 African countries during the twenty-first century. Developed under an international partnership coordinating efforts to fight malaria, MIS surveys include some standard DHS variables on topics such as demographics, fertility, and household characteristics. MIS questionnaires also include hundreds of questions related to malaria. People’s knowledge about malaria causes, symptoms, and prevention; use of bednets; diagnosis and treatment of malaria, especially for pregnant women and children; exposure to public health messaging; and diagnostic blood testing for malaria in children under 5 are among the topics covered.

Map of Africa with the countries with MIS data in IPUMS DHS filled in with purple
Figure 1: Countries with MIS Data in IPUMS DHS

IPUMS DHS users now have access to harmonized data from 38 MIS samples, with geographic coverage shown in Figure 1. We prioritized harmonizing responses to MIS questions that matched variables already in the IPUMS DHS database, for approximately 700 widely available variables.

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New IPUMS DHS Climate Change and Health Research Hub

By Miriam King, Senior Research Scientist

Men wading through flood watersIn October 2023, the World Health Organization stated, “3.6 billion people already live in areas highly susceptible to climate change. Between 2030 and 2050, climate change is expected to cause approximately 250,000 additional deaths per year, from undernutrition, malaria, diarrhea and heat stress alone.”

The Demographic and Health Surveys (DHS) are an ideal source for research on the health effects of climate change. Since the 1980s, the DHS has collected a broad range of nationally representative health data from over 90 countries. With supplemental funding from NICHD, harmonized DHS data from IPUMS (dhs.ipums.org) is now doing more to support research on the effects of climate change on health. We are adding new contextual variables; we are integrating data from Malaria Indicator Surveys (MIS); and we are offering guidance through the new Climate Change and Health Research Hub.

Sound research on climate change and health requires combining social science and health data with natural science data. While social scientists and public health researchers have considerable experience analyzing health survey data, few have been trained in simultaneously employing data on environmental factors. This knowledge gap is addressed by the Climate Change and Health Research Hub, under the leadership of Dr. Kathryn Grace and Senior Data Analyst Finn Roberts.

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Malaria Transmission in Context: Linking Health, Census, and Ecological Data

by Yara Ghazal, Ilyana Hohenkirk, Tracy Kugler, and Kelly Searle

Malaria, like many vector-borne diseases, impacts health, economic growth, and society. The burden of malaria incidence and death is concentrated in Sub-Saharan Africa; in 2020, 95% of all malaria cases and 96% of all deaths occurred in Sub-Saharan Africa (WHO, 2022). Malaria impacts not only population health but also the economic growth of these 32 countries. It is estimated that up to 1.3% of economic growth in this region of Africa is slowed each year due to malaria (CCP-JHU, 2015). Understanding malaria transmission is essential to ending its spread and creating a healthier and more prosperous future for developing nations.

The literature on malaria transmission patterns has shown that several environmental factors impact mosquito and parasite vital rates, and thus affect the transmission intensity, seasonality, and geographical distribution of malaria (Castro, 2017). Temperature and precipitation are the primary climate-based factors that influence malaria transmission patterns. Temperature creates geographical constraints for vector and parasite development. Increasing temperatures have been found to shorten mosquito maturation time and increase feeding frequency. However, areas of extremely high temperatures usually yield smaller, less fecund mosquitoes. In parallel, because mosquitoes often breed in pools formed by rainfall and flooding, the frequency, duration, and intensity of precipitation have a significant influence on mosquito populations.

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IPUMS at ICFP2022

by Devon Kristiansen

IPUMS was proud to partake in the International Conference on Family Planning in Pattaya City, Thailand. We participated by hosting a pre-conference workshop, sponsoring the conference, staffing an exhibit both, and presenting research as part of the conference program. The conference, held between November 14th and 17th, 2022, had 3,500 in-person attendees, with many virtual participants, as well.

Research staff representing IPUMS PMA, IPUMS DHS, IPUMS MICS, and IPUMS International conducted a 2-hour pre-conference workshop, providing participants with an overview of each of the IPUMS data collections featuring international data as well as a website and data analysis demonstration.

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Reproductive Calendar Data Now Available from IPUMS DHS

By Miriam L. King

IPUMS DHS has released data for a new unit of analysis, woman-months, based on retrospective calendar data offering a month-to-month history of a woman’s reproductive events during the preceding five years.

Woman Months: Each record will be a woman-month from respective calendar data.

The calendar data document for every month whether a woman gave birth, was pregnant, or terminated a pregnancy. For most samples, the monthly record also indicates whether the woman used a (specified) contraceptive method and her the reason for stopping use of the method. Some samples also collect information on the woman’s union status, employment, and the type of pregnancy termination.

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Visualizing IPUMS Global Health with Storymaps

By Matt Gunther

IPUMS data are a great research resource; they are also widely used by faculty for teaching students about using data to tell stories. This blog post, adapted from the IPUMS PMA Data Analysis Hub blog series, highlights work from students using IPUMS Global Health data.

This semester, students in the Global Health Survey Analysis course at the University of Minnesota used an amazing tool called StoryMaps to develop interactive narratives exploring different topics related to family planning. StoryMaps have been used in both the undergraduate and graduate curriculum throughout the College of Liberal Arts and beyond – we encourage you to check out the full gallery of student projects here!

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