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Bharti, N.; Tatem, A.J. |
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Title |
Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria |
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Journal Article |
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Year |
2018 |
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Scientific Data |
Abbreviated Journal |
Sci Data |
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5 |
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180256 |
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Keywords |
Remote Sensing |
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Abstract |
Dynamic measures of human populations are critical for global health management but are often overlooked, largely because they are difficult to quantify. Measuring human population dynamics can be prohibitively expensive in under-resourced communities. Satellite imagery can provide measurements of human populations, past and present, to complement public health analyses and interventions. We used anthropogenic illumination from publicly accessible, serial satellite nighttime images as a quantifiable proxy for seasonal population variation in five urban areas in Niger and Nigeria. We identified population fluxes as the mechanistic driver of regional seasonal measles outbreaks. Our data showed 1) urban illumination fluctuated seasonally, 2) corresponding population fluctuations were sufficient to drive seasonal measles outbreaks, and 3) overlooking these fluctuations during vaccination activities resulted in below-target coverage levels, incapable of halting transmission of the virus. We designed immunization solutions capable of achieving above-target coverage of both resident and mobile populations. Here, we provide detailed data on brightness from 2000-2005 for 5 cities in Niger and Nigeria and detailed methodology for application to other populations. |
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WorldPop, Department of Geography and Environment, University of Southampton; Flowminder Foundation, Southampton, SO17 1BJ, UK |
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2052-4463 |
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PMID:30422123; PMCID:PMC6233255 |
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GFZ @ kyba @ |
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2769 |
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Author |
Bharti, N.; Tatem, A.J.; Ferrari, M.J.; Grais, R.F.; Djibo, A.; Grenfell, B.T. |
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Title |
Explaining seasonal fluctuations of measles in Niger using nighttime lights imagery |
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Journal Article |
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2011 |
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Science (New York, N.Y.) |
Abbreviated Journal |
Science |
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334 |
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6061 |
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1424-1427 |
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Keywords |
Remote Sensing; Human Health; Cities; Emigration and Immigration; Epidemics; *Epidemiologic Methods; Humans; Light; Measles/*epidemiology/transmission; Niger/epidemiology; *Population Density; Remote Sensing Technology; *Seasons; Spacecraft |
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Measles epidemics in West Africa cause a significant proportion of vaccine-preventable childhood mortality. Epidemics are strongly seasonal, but the drivers of these fluctuations are poorly understood, which limits the predictability of outbreaks and the dynamic response to immunization. We show that measles seasonality can be explained by spatiotemporal changes in population density, which we measure by quantifying anthropogenic light from satellite imagery. We find that measles transmission and population density are highly correlated for three cities in Niger. With dynamic epidemic models, we demonstrate that measures of population density are essential for predicting epidemic progression at the city level and improving intervention strategies. In addition to epidemiological applications, the ability to measure fine-scale changes in population density has implications for public health, crisis management, and economic development. |
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Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. nbharti@princeton.edu |
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0036-8075 |
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PMID:22158822; PMCID:PMC3891598 |
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GFZ @ kyba @ |
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2770 |
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Bhukya, K. A., Ramasubbareddy, S., Govinda, K., & Srinivas, T. A. S. |
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Title |
Adaptive Mechanism for Smart Street Lighting System |
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Journal Article |
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2019 |
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Smart Intelligent Computing and Applications |
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160 |
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69-76 |
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Lighting |
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The adaptive street light has the ability to adapt to the motion of cycles, cars and pedestrians. It uses motion as well as light sensors to detect the traffic and light around. It dims when there is no movement on the road, and is brightened when there is any activity. Smart street lights are very dissimilar from the old methods of lighting. It is an automated system that will be able to automate the streets. The main objective of these lights is to decrease the utilization of power, while no activity is detected on the street. It will be switched ON while there are pedestrians and cars on the street or else they will get dimmed to 20% of the brightness. The proposed approach gives a method to conserve power by using the PIR sensors to sense the incoming traffic and hence turning ON a cluster of lights surrounding the traffic. As the traffic is passing by, the street lights left behind will dim on its own. Hence, a lot of power can be conserved. Also, during the day time when there is no need of light the LDR sensor will sense the light and the light will remain switched OFF. This smart street light system comes under the domain of smart city. |
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IDA @ intern @ |
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2723 |
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Author |
Bielli, A.; Alfaro-Shigueto, J.; Doherty, P.D.; Godley, B.J.; Ortiz, C.; Pasara, A.; Wang, J.H.; Mangel, J.C. |
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An illuminating idea to reduce bycatch in the Peruvian small-scale gillnet fishery |
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Journal Article |
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Year |
2019 |
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Biological Conservation |
Abbreviated Journal |
Biological Conservation |
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in press |
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108277 |
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Animals; oceans; bycatch; artificial illumination; bycatch reduction technologies |
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Found in the coastal waters of all continents, gillnets are the largest component of small-scale fisheries for many countries. Numerous studies show that these fisheries often have high bycatch rates of threatened marine species such as sea turtles, small cetaceans and seabirds, resulting in possible population declines of these non-target groups. However, few solutions to reduce gillnet bycatch have been developed. Recent bycatch reduction technologies (BRTs) use sensory cues to alert non-target species to the presence of fishing gear. In this study we deployed light emitting diodes (LEDs) – a visual cue – on the floatlines of paired gillnets (control vs illuminated net) during 864 fishing sets on small-scale vessels departing from three Peruvian ports between 2015 and 2018. Bycatch probability per set for sea turtles, cetaceans and seabirds as well as catch per unit effort (CPUE) of target species were analysed for illuminated and control nets using a generalised linear mixed-effects model (GLMM). For illuminated nets, bycatch probability per set was reduced by up to 74.4 % for sea turtles and 70.8 % for small cetaceans in comparison to non-illuminated, control nets. For seabirds, nominal BPUEs decreased by 84.0 % in the presence of LEDs. Target species CPUE was not negatively affected by the presence of LEDs. This study highlights the efficacy of net illumination as a multi-taxa BRT for small-scale gillnet fisheries in Peru. These results are promising given the global ubiquity of small-scale net fisheries, the relatively low cost of LEDs and the current lack of alternate solutions to bycatch. |
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Centre for Ecology and Conservation, University of Exeter, Penryn, Cornwall, TR10 9FE, UK; bielli.alessandra(at)gmail.com |
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Elsevier |
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English |
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English |
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0006-3207 |
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GFZ @ kyba @ |
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2779 |
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Author |
Birriel, J. J.; Adkins, J. K. |
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Title |
Sky Brightness at Zenith During the January 2019 Total Lunar Eclipse |
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Journal Article |
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2019 |
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The Journal of the American Association of Variable Star Observers |
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47 |
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1 |
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94 |
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Skyglow |
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Lunar eclipses occur during the full moon phase when the moon is obscured by Earth's shadow. During these events, the night sky brightness changes as the full moon rises and then passes first into the penumbral and then the umbral shadow. We acquired sky brightness data at zenith using a Unihedron Sky Quality Meter during the 20-21 January 2019 total lunar eclipse as seen from Morehead, Kentucky. The resulting sky brightness curve shows an obvious signature when the moon enters the umbral (partial) eclipse phases and the total eclipse phase. During the total eclipse phase, the brightness curve is flat and measures 19.1 ± 0.1 mag / arcsec2. The observed brightness at totality is close to typical new moon in January night at our location, which measures 19.3 ± 0.1 mag / arcsec2. The partial eclipse phase is symmetric on either side of totality. The penumbral phase is more difficult to identify in the plot, without comparison to a typical full moon night. There is a clear asymmetry in the curve just before and just after the umbral phase. This asymmetry is probably due to changes in terrestrial atmospheric conditions, such as high altitude clouds. |
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IDA @ intern @ |
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2647 |
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