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Background In the occupied Palestinian territory (oPt), access to maternal and child healthcare (MCH) services are constrained due to the prolonged Israeli military occupation, the Separation Wall, army checkpoints, and restrictions on the movement of people and goods. This study assesses the relationship between conflict intensity and access to Maternal and Child Health care in occupied Palestinian territory (oPt). To the best of our knowledge, the impact of conflict on access to health care has not been measured due to the lack of data. Methods We analyse pooled data from household surveys covering a fifteen-year period (2000–2014) of children ( n = 16,793) and women ( n = 8477) in five regions of the oPt. Conflict intensity was used as a continuous variable defined as the square root of non-combatant conflict mortality taken from monthly death rates of non-combatants by region. We use multilevel logistic models to explain four outputs: child vaccination schedules, antenatal care, caesarean sections, and complications during pregnancy. Results Locality is important with results showing the negative impact of conflict intensity on access to care, especially in the South West Bank for maternal health services and Central West Bank for vaccination (B − 0.161 p = 0.000 for DPT). Wealth is only significant for DPT vaccinations with poorest (B − 0.098 p = 0.005) and poor (B − 0.148 p = 0.002) individuals less likely to access services. Otherwise conflict does not show a differential effect across socio-economic conditions. Conclusions This study shows how locality is the strongest factor when looking at the impact of conflict in the oPt. Preventative services (ANC and vaccinations) are the most affected by conflict. We recommend a greater use of community health care to improve access to maternal and child care when barriers impede access to health facilities during times of conflict.

Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, the effectiveness of such governmental measures in reducing the mortality burden remains a key question of scientific interest and public debate. In this study, we leverage digital mobility data to assess the effects of reduced human mobility on excess mortality, focusing on regional data in England and Wales between February and August 2020. We estimate a robust association between mobility reductions and lower excess mortality, after adjusting for time trends and regional differences in a mixed-effects regression framework and considering a five-week lag between the two measures. We predict that, in the absence of mobility reductions, the number of excess deaths could have more than doubled in England and Wales during this period, especially in the London area. The study is one of the first attempts to quantify the effects of mobility reductions on excess mortality during the COVID-19 pandemic.

The spread of digital technologies and the increased access to the internet has contributed to the production and accumulation of unprecedented quantities of data about human behavior. Demographers, who have a long-standing interest in issues related to data and data quality, are in an ideal position to make sense of this new information. This paper discusses three ways in which the Data Revolution has created novel sources of data for demographic research. It discusses the unique technical and ethical challenges posed by these data sources and the opportunities they provide for understanding historical and contemporary demographic dynamics around the world.