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  • 700+ Downloads
    Updated July 17, 2019 | Dataset date: Sep 1, 2018-May 31, 2019
    This dataset updates: Every month
    This page provides the data published in the Attacks on Health Care Monthly News Brief. The first dataset '2019 Attacks on Health Care KKADD' covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities or ambulances were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members so far in 2019. The remaining datasets include threats and incidents of violence as well as protests and other events affecting health care between September and December 2018. For a breakdown on the number of health workers killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 200+ Downloads
    Updated June 20, 2019 | Dataset date: Jun 20, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Sep 8, 2017
    This dataset updates: Live
    Population Exposure Analysis Based on Ground Shake Data (USGS) and Population data (WorldPop).
  • Este mapa ilustra las estructuras potencialmente dañadas por el sismo del 19 de septiembre de 2017 con intensidad de 7.1 grados en la escala de Richter, que fueron detectadas a través de imágenes de satélite para la colonia Cuautepec Madero en la Ciudad de México. Se identificaron 29 estructuras potencialmente dañadas dentro de la imagen de satélite base, de las cuales 16 se encuentran dentro del límite administrativo de la colonia. En análisis se realizó con una imagen WorldView-2, adquirida el 26 de septiembre de 2017, caracterizándose como un análisis preliminar que aún no es validado en campo.
  • This map illustrates damaged structures detected with different media support (newspapers, government reports, web news) and Digital Globe images captured on September 20 (from the web site https://www.digitalglobe.com/opendata/mexico-city-earthquake/post-event) in San Andrés Cholula and San Pedro Cholula located in Puebla State, Mexico. The analyzed area is located at 60 km of the epicentral zone of the 19 September 2017 M7.1 earthquake. IGG-UNAM identified 39 damaged structures. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in some affected colonies located in Xochimilco and Tlahuac Municipalities, Federal District, Mexico. The analysis was performed by Faculty of Geography of the Autonomous University of the State of Mexico (UAEMex) using as post-event WorldView-2 satellite imagery acquired 20 September 2017. UAEMex identified 87 potentially damaged structures from which 63 are located in Santa Maria Nativitas colony and surroundings. Please do not hesitate to send feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the town of Coatetelco, Miacatlan Municipality, Morelos State, Mexico. The analyzed area is located approximately 90 km northwest of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 500 potentially damaged structures. The analysis was performed using a post-event WorldView-3 satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 17 January 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates UAV images-detected and field work survey damaged structures in the town of Tlayacapan located in Tlayacapan Municipality, Morelos State, Mexico. The analyzed area is located at 68 km north-west of the epicentral zone of the 19 September 2017 M7.1 earthquake. The Institute of Geography of the National Autonomous University of Mexico (IGG-UNAM) identified 189 damaged structures. The analysis was performed using a post-event UAV images acquired on 7 October 2017 and field work. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the southwestern part of Cuauhtemoc Municipality, Federal District, Mexico. The analyzed area is located approximately 120 km northwest of the main shock epicenter of the 19 September 2017 M7.1 earthquake. The analysis was performed using a post-event WorldView-2 satellite image acquired on 26 September 2017 and a pre-event Bing basemap. UNITAR-UNOSAT identified 145 potentially damaged structures from which 25 are located in Roma Norte suburb, 24 in Roma Sur, 21 in Hipodromo and 20 in La Condesa. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the town of Tlaquiltenango, Tlaquiltenango Municipality, Morelos State, Mexico. The analyzed area is located approximately 72 km west of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 1,216 potentially affected structures within the town boundary. The analysis was performed using a post-event Pleiades satellite image acquired on 05 October 2017 and Bing as pre-event image. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: Nov 2, 2017
    This dataset updates: Live
    This map illustrates satellite-detected, potentially damaged structures in some affected colonies located in Venustiano Carranza, Cuauhtemoc, Benito Juarez, Coyoacan and Iztapalapa Municipalities, Federal District, Mexico. The analysis was performed by Faculty of Geography of the Autonomous University of the State of Mexico (UAEMex) using as post-event satellite imagery : WorldView-2 acquired as of 20 and 26 September 2017 and Pleiades acquired as of 22 September 2017. UAEMex identified 201 potentially damaged structures within the limit of the analyzed colonies, surrounded by a blue line in this map: 24 are located in Magdelena Mixhuca colony, 22 in Aculco, 21 in Atenor Sala and 20 in El Arenal. Please do not hesitate to send feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the Historical Center of Puebla located in Heroica Puebla de Zaragoza Municipality, Puebla State, Mexico. The analyzed area is located approximately 90 km north of the epicentral zone of the 19 September 2017 M7.1 earthquake. the Institute of Geography of the National Autonomous University of Mexico (IGG-UNAM) identified 336 potentially damaged structures from which 256 are within Historical Center. The analysis was performed using a post-event WorldView-3 satellite image acquired on 23 September 2017 and a pre-event WorldView-2 satellite image acquired on 28 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the town of Jojutla, Jojutla Municipality, Morelos State, Mexico. The analyzed area is located approximately 82 km west of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 1,102 potentially damaged structures. The analysis was performed using a post-event Pleiades satellite image acquired on 03 October 2017 and Bing as pre-event image. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Este mapa ilustra las estructuras potencialmente dañadas por el sismo del 19 de septiembre de 2017 con intensidad de 7.1 grados en la escala de Richter, que fueron detectadas a través de imágenes de satélite para la colonia Capultitlan en la Ciudad de México. Se identificaron 17 estructuras potencialmente dañadas dentro de la imagen de satélite base, de las cuales 12 se encuentran dentro del límite administrativo de la colonia. En análisis se realizó con una imagen WorldView-2, adquirida el 26 de septiembre de 2017, caracterizándose como un análisis preliminar que aún no es validado en campo.
  • This map illustrates satellite-detected, potentially damaged structures in the central western part of the city of Cuernavaca and more specifically in the neighborhoods of Downtown, La Mina 2 and Altavista, Cuernavaca Municipality, Morelos State, Mexico. UNITAR-UNOSAT detected a general moderate damage with a few collapsed structures and identified 1,494 potentially affected structures. The analysis was performed using a post-event WorldView-3 satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 13 February 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the town of Atzala, Atzala Municipality, Puebla State, Mexico. The analysed area is located approximately 7 km west of the mainshock epicentre of the 19 September M 7.1 earthquake. UNITAR-UNOSAT identified 91 potentially damaged structures of which 78 are within the town extent. Taking in account the total 559 pre-event structures in Atzala town, 14% of the structures are likely to be damaged. These analyses was performed using a post-event Pleiades satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 11 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 100+ Downloads
    Updated August 29, 2017 | Dataset date: Jan 29, 2016-Aug 4, 2016
    This dataset updates: Never
    Within 24 hours of the World Health Organization declaring the Zika virus a global health emergency, RIWI began a study in 9 countries across the Americas capturing over 30,000 respondents. Data collection targeted respondents' knowledge of Zika virus transmission mechanisms and confidence in government health agencies to treat and contain the epidemic. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
  • 300+ Downloads
    Updated November 25, 2015 | Dataset date: Oct 23, 2015
    This dataset updates: Every year
    Capas administrativas 0, 1 y2 de México