The informal settlements of the Global South are the least prepared for the pandemic of COVID-19 since basic needs such as water, toilets, sewers, drainage, waste collection, and secure and adequate housing are already in short supply or non-existent. Further, space constraints, violence, and overcrowding in slums make physical distancing and self-quarantine impractical, and the rapid spread of an infection highly likely. J Urban Health international aid, NGOs, and community groups to innovate beyond disaster response and move toward longterm plans.

Three hundred twelve mothers of infants aged 2-4 months in 11 slums of Indore, India, were interviewed to assess birth preparedness and complication readiness (BPACR) among them. The mothers were asked whether they followed the desired four steps while pregnant: identified a trained birth attendant, identified a health facility, arranged for transport, and saved money for emergency. Taking at least three steps was considered being well-prepared. Taking two or less steps was considered being less-prepared. One hundred forty-nine mothers (47.8%) were well-prepared. Factors associated with well-preparedness were assessed using adjusted multivariate models. Factors associated with well-preparedness were maternal literacy [odds ratio (OR)=1.9, (95%) confidence interval (CI) 1.1-3.4] and availing of antenatal services (OR=1.7, CI 1.05-2.8). Deliveries in the slum-home were high (56.4%). Among these, skilled attendance was low (7.4%); 77.3% of them were assisted by traditional birth attendants. Skilled attendance during delivery was three times higher in well-prepared mothers compared to less-prepared mothers (OR: 3.0, CI 1.6-5.4) Antenatal outreach sessions can be used for promoting BPACR. It will be important to increase the competency of slum-based traditional birth attendants, along with promoting institutional deliveries.

Autonomous vehicles require precise knowledge of their position and orientation in all weather and traffic conditions for path planning, perception, control, and general safe operation. Here we derive these requirements for autonomous vehicles based on first principles. We begin with the safety integrity level, defining the allowable probability of failure per hour of operation based on desired improvements on road safety today. This draws comparisons with the localization integrity levels required in aviation and rail where similar numbers are derived at 10 -8 probability of failure per hour of operation. We then define the geometry of the problem, where the aim is to maintain knowledge that the vehicle is within its lane and to determine what road level it is on. Longitudinal, lateral, and vertical localization error bounds (alert limits) and 95% accuracy requirements are derived based on US road geometry standards (lane width, curvature, and vertical clearance) and allowable vehicle dimensions. For passenger vehicles operating on freeway roads, the result is a required lateral error bound of 0.57 m (0.20 m, 95%), a longitudinal bound of 1.40 m (0.48 m, 95%), a vertical bound of 1.30 m (0.43 m, 95%), and an attitude bound in each direction of 1.50 deg (0.51 deg, 95%). On local streets, the road geometry makes requirements more stringent where lateral and longitudinal error bounds of 0.29 m (0.10 m, 95%) are needed with an orientation requirement of 0.50 deg (0.17 deg, 95%).

India has the world’s second largest urban population (after China). This paper shows the large disparities within this urban population in health-related indicators. It shows the disparities for child and maternal health, provision for health care and housing conditions between the poorest quartile and the rest of the urban population for India and for several of its most populous states. In the poorest quartile of India’s urban population, only 40 per cent of 12 to 23 month-old children were completely immunized in 2004—2005, 54 per cent of under-five year-olds were stunted, 82 per cent did not have access to piped water at home and 53 per cent were not using a sanitary flush or pit toilet. The paper also shows the large disparities in eight cities between the poorest population (the population in the city that is within the poorest quartile for India’s urban areas), the population living in settlements classified as “slums” and the non-slum population. It also highlights the poor performance in some health-related indicators for the population that is not part of the poorest quartile in several states — for instance in under-five mortality rates, in the proportion of stunted children and in the proportion of households with no piped water supply to their home.

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