Merge branch 'edit-cap-capt' into 'main'

Drop map captions and retain alt text See merge request !75

Merge branch 'edit-cap-capt' into 'main'
137088df · Azadpour, Elmera · c4df12e9 · 86739bfb · 137088df · 137088df
Commit 137088df authored 6 months ago by Azadpour, Elmera
--- a/src/assets/text/text_en.js
+++ b/src/assets/text/text_en.js
@@ -6,26 +6,21 @@ export default {
    introNarrative: {
      paragraph1: `Imagine, for example, that you live in a big house in the suburbs where clean water flows out of every faucet. There’s enough water for you and your family to grow a nice garden every year. The public water supplier treats the water and maintains the distribution system regularly, so you know the water is safe for you to drink.`,
      paragraph2: `Now imagine you live in a small rural community on the outskirts of town. You have your own well, but in recent years, you and your neighbors have had to dig deeper and deeper to reach water. Dangerous metals,  originating from historical sources such as old industrial landfills and corroded copper pipes soldered with lead, are leaching into the water belowground, but you have no way of treating your water before your family drinks it. A nearby pond shrinks each summer and acquires a ghastly green hue as it’s choked by harmful algae blooms.`,
-      paragraph3: `This scene may sound unimaginable, but this is the unfortunate reality for many Americans. More than 2.2 million Americans lack running water and basic plumbing in their home <a href='https://www.digdeep.org/draining' target='_blank'>(DigDeep, 2022)</a>, and roughly 3% of community water systems have severe issues with water quality <a href='https://www.nature.com/articles/s41467-021-23898-z' target='_blank'>(Mueller and Gasteyer, 2021)</a>. Limited access to clean water may be triggered by a single event, like the <a href='https://storymaps.arcgis.com/stories/7f105650f97e4b20839edb65de3b12ce' target='_blank'>derailing of the train carrying hazardous chemicals in East Palestine, Ohio,</a> or may be the long-term result of aging infrastructure, as was the case with the <a href='https://www.npr.org/sections/thetwo-way/2016/04/20/465545378/lead-laced-water-in-flint-a-step-by-step-look-at-the-makings-of-a-crisis' target='_blank'>dangerously high levels of lead in the drinking water of Flint, Michigan.</a>`,
+      paragraph3: `This scene may sound hard to believe, but inadequate access to clean water is the unfortunate reality for many Americans. More than 2.2 million Americans lack running water and basic plumbing in their home <a href='https://www.digdeep.org/draining' target='_blank'>(DigDeep, 2022)</a>, and roughly 3% of community water systems have severe issues with water quality <a href='https://www.nature.com/articles/s41467-021-23898-z' target='_blank'>(Mueller and Gasteyer, 2021)</a>. Limited access to clean water may be triggered by a single event, like the <a href='https://storymaps.arcgis.com/stories/7f105650f97e4b20839edb65de3b12ce' target='_blank'>derailing of the train carrying hazardous chemicals in East Palestine, Ohio,</a> or may be the long-term result of aging infrastructure, as was the case with the <a href='https://www.npr.org/sections/thetwo-way/2016/04/20/465545378/lead-laced-water-in-flint-a-step-by-step-look-at-the-makings-of-a-crisis' target='_blank'>dangerously high levels of lead in the drinking water of Flint, Michigan.</a>`,
      paragraph4: `Marginalized populations are often disproportionately affected by water insecurity. Communities of color and individuals living below the poverty line are frequently the hardest hit by <span class="tooltip-group"><span class="tooltip-span">water-related hazards,</span><span id='water-hazards-tooltip' class="tooltiptext"> A natural phenomenon and a situation where there is threat to life, health, environment, property, and society. Examples of water-related hazards include floods, hydrologic droughts and storm surges.</span></span> lacking the means to safeguard themselves adequately. They may face barriers to relocation or struggle to take time off work, cope with lost wages, or afford medical expenses. In the case of the Flint, Michigan, water crisis, black and low-income communities, who at the time made up <a href='https://apnews.com/general-news-7b2bcfdcc8d74ece9e0cb167a2239745' target='_blank'>57% and 42%</a> of Flint's population, respectively, were some of the socio-economically disadvantaged communities most affected by lead exposure. Regardless of the cause, the risk of experiencing water insecurity is closely related to the level of <span class="tooltip-group"><span class="tooltip-span">social vulnerability</span><span id='social-vulnerability-tooltip' class="tooltiptext">Conditions in which societal factors shape exposure to hazards, susceptibility to suffer harm, and ability to cope and recover from losses.</span></span>.`,
    },
    mapText: {
      title: "Vulnerability indicators across the Western states ",
      p1Title: "Household sizes",
-      paragraph1: "Infrastructure and institutional factors are major determinants of access to and reliability of water delivery in the United States <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>(Drakes et al, 2024)</a>. <a href='https://wires.onlinelibrary.wiley.com/doi/10.1002/wat2.1486' target='_blank'>Meehan et al (2020)</a> found 471,000 households or 1.1 million people lacked piped water access between 2013 and 2017, with the majority (73%) of these households located in metropolitan areas, and nearly half (47%) in the 50 largest urban areas. The reviewed literature showed indicators of household size, female-headed households, female population, and percentage of females in the labor force were all predominantly positively related and influential to water insecurity conditions. Displayed below is a county-level map of the average household size of occupied housing units. Counties with the greatest average household size, shown in dark blue, include Oglala Lakota County, South Dakota; Madison County, Idaho; and Todd County, South Dakota.",
+      paragraph1: "Infrastructure and institutional factors are major determinants of access to and reliability of water delivery in the United States <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>(Drakes and others, 2024)</a>. <a href='https://wires.onlinelibrary.wiley.com/doi/10.1002/wat2.1486' target='_blank'>Meehan and others (2020)</a> found 471,000 households or 1.1 million people lacked piped water access between 2013 and 2017, with the majority (73%) of these households located in metropolitan areas, and nearly half (47%) in the 50 largest urban areas. The reviewed literature showed indicators of household size, female-headed households, female population, and percentage of females in the labor force were all predominantly positively related and influential to water insecurity conditions. Displayed below is a county-level map of the average household size of occupied housing units. Counties with the greatest average household size, shown in dark blue, include Oglala Lakota County, South Dakota; Madison County, Idaho; and Todd County, South Dakota.",
-      caption1: `<span class="tooltip-group"><span class="tooltip-span">Choropleth map</span><span id="choropleth-map-tooltip" class="tooltiptext">Type of map that displays divided geographical areas or regions that are coloured, shaded or patterned in relation to a data variable. This provides a way to visualise values over a geographical area, which can show variation or patterns across the displayed location.</span></span> of average household size, of occupied housing units, at the county-level across the contiguous U.S.. The greatest average housing size were in Oglala Lakota County, South Dakota (5), Madison County, Idaho (3.9) and Todd County, South Dakota (3.8) <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(U.S. Census Bureau, 2022).</a>`,
      p2Title: "Income inequalities",
-      paragraph2: "Low income and impoverished persons are more likely to experience conditions associated with water insecurity. Moreover, income inequality is a highly significant predictor of 'plumbing poverty,' meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan et al, 2020)</a>. The county-level map below displays median household income in the past 12 months (in 2022 inflation-adjusted dollars). Counties with the greatest median household income are shown in dark blue and include Santa Clara County, California; San Mateo County, California; and Marin County, California.",
+      paragraph2: "Low income and impoverished persons are more likely to experience conditions associated with water insecurity. Moreover, income inequality is a highly significant predictor of 'plumbing poverty,' meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan and others, 2020)</a>. The county-level map below displays median household income in the past 12 months (in 2022 inflation-adjusted dollars). Counties with the greatest median household income are shown in dark blue and include Santa Clara County, California; San Mateo County, California; and Marin County, California.",
-      caption2: `Choropleth map of median household income in the past 12 months (in 2022 inflation-adjusted dollars) at the county-level across the contiguous U.S.. The greatest median incomes include Santa Clara County, California ($153,792), San Mateo County, California ($149,907) and Marin County, California ($142,019) <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(U.S. Census Bureau, 2022).</a>`,
      p3Title: "Renter disparities",
-      paragraph3: "As median rent values go up, water insecurity tends to go down, likely reflecting greater access to resources for wealthier populations <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines et al, 2023)</a>. That said, renters tend to be at a higher risk of losses from water-related hazards compared to homeowners. After disasters, renters are more likely to relocate and less likely to apply for and receive assistance. Renters also often lack the authority and means to enact structural changes to their homes for hazard mitigation, response, or recovery, which raises the hazard exposure and susceptibility of renters while lowering their capacity to cope <a href='https://doi.org/10.1016/j.ijdrr.2020.102010' target='_blank'>(Drakes et al, 2021) </a>. The county-level map below displays median gross rent. Counties with the greatest median gross rent, shown in dark green, include San Mateo County, California; Santa Clara County, California; and Marin County, California.",
+      paragraph3: "As median rent values go up, water insecurity tends to go down, likely reflecting greater access to resources for wealthier populations <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>. That said, renters tend to be at a higher risk of losses from water-related hazards compared to homeowners. After disasters, renters are more likely to relocate and less likely to apply for and receive assistance. Renters also often lack the authority and means to enact structural changes to their homes for hazard mitigation, response, or recovery, which raises the hazard exposure and susceptibility of renters while lowering their capacity to cope <a href='https://doi.org/10.1016/j.ijdrr.2020.102010' target='_blank'>(Drakes and others, 2021) </a>. The county-level map below displays median gross rent. Counties with the greatest median gross rent, shown in dark green, include San Mateo County, California; Santa Clara County, California; and Marin County, California.",
-      caption3: `Choropleth map of median gross rent at the county-level across the contiguous U.S.. The greatest median gross rents include San Mateo County, California ($2,805), Santa Clara County, California ($2,719) and Marin County, California ($2,487) <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(U.S. Census Bureau, 2022).</a>`,
      p4Title: "Hispanic populations",
-      paragraph4: "Hispanic populations are at an increased risk of water insecurity <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines et al, 2023)</a>. In some areas of the country, Hispanic households are more likely to experience 'plumbing poverty'—meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan et al, 2020)</a>—particularly in the Western United States. In fact, research shows that although Hispanic-headed households make up less than 13% of all U.S. households, they account for nearly 17% of households with incomplete plumbing <a href='https://doi.org/10.1080/24694452.2018.1530587' target='_blank'>(Deitz & Meehan, 2019)</a>. The county map below shows the percent of Hispanic populations. Counties with the greatest percent of Hispanic residents, shown in dark blue, include Kenedy County, Texas; Starr County, Texas; and Webb County, Texas. These areas are particularly affected by the combined challenges of water insecurity and plumbing poverty.",
+      paragraph4: "Hispanic populations are at an increased risk of water insecurity <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>. In some areas of the country, Hispanic households are more likely to experience 'plumbing poverty'—meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan and others, 2020)</a>—particularly in the Western United States. In fact, research shows that although Hispanic-headed households make up less than 13% of all U.S. households, they account for nearly 17% of households with incomplete plumbing <a href='https://doi.org/10.1080/24694452.2018.1530587' target='_blank'>(Deitz & Meehan, 2019)</a>. The county map below shows the percent of Hispanic populations. Counties with the greatest percent of Hispanic residents, shown in dark blue, include Kenedy County, Texas; Starr County, Texas; and Webb County, Texas. These areas are particularly affected by the combined challenges of water insecurity and plumbing poverty.",
-      caption4: `Choropleth map of percent of Hispanic populations at the county-level across the contiguous U.S.. The greatest percent Hispanic were in Kenedy County, Texas (96.6%), Starr County, Texas (96.2%) and Webb County, Texas (95.4%) <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(U.S. Census Bureau, 2022).</a>`,
      p5Title: "Disabled populations",
-      paragraph5: "Special needs and disabled populations may live in places more exposed to water-related hazards <a href='https://www.sciencedirect.com/science/article/abs/pii/S0277953619301121' target='_blank'>(Chakraborty et al, 2019)</a> or experiencing unreliable or intermittent potable water supplies <a href='https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155043' target='_blank'>(White et al, 2016)</a>. For example, <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes et al (2024)</a> found special needs and disabled populations were associated with a higher likelihood of water insecure conditions in the Western United States. However, only two studies have measured the relationship between disability and water insecurity, and the limited research on the topic was conducted only in the municipal water-use sector. The map below shows the percent of disabled persons in each county. Counties with the greatest percent of disabled individuals, shown in dark blue, include Catron County, New Mexico; Mora County, New Mexico; and Kinney County, Texas.",
+      paragraph5: "Special needs and disabled populations may live in places more exposed to water-related hazards <a href='https://www.sciencedirect.com/science/article/abs/pii/S0277953619301121' target='_blank'>(Chakraborty and others, 2019)</a> or experiencing unreliable or intermittent potable water supplies <a href='https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155043' target='_blank'>(White and others, 2016)</a>. For example, <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes and others (2024)</a> found special needs and disabled populations were associated with a higher likelihood of water insecure conditions in the Western United States. However, only two studies have measured the relationship between disability and water insecurity, and the limited research on the topic was conducted only in the municipal water-use sector. The map below shows the percent of disabled persons in each county. Counties with the greatest percent of disabled individuals, shown in dark blue, include Catron County, New Mexico; Mora County, New Mexico; and Kinney County, Texas."
-      caption5: `Choropleth map of percent with a disability of total civilian noninstitutionalized population at the county-level across the contiguous U.S.. The greatest percent disabled were in Catron County, New Mexico (41%), Mora County, New Mexico (34%) and Kinney County, Texas (34%) <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(U.S. Census Bureau, 2022).</a>`,
    },
    metaAnalysisText: {
      title: "Meta-analysis of social vulnerability to water insecurity",
@@ -44,7 +39,7 @@ export default {
    },
    chartText: {
      bubbleText: "Interact with the chart to explore evidence<br>for social vulnerability determinants.",
-      bubbleLegend: `Many social vulnerability determinants have been studied. Some show positive <span class="legend-box positive"></span> relationships with water insecurity, some negative <span class="legend-box negative"></span>, and others unknown <span class="legend-box unknown"></span> <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines et al, 2023)</a>`,
+      bubbleLegend: `Many social vulnerability determinants have been studied. Some show positive <span class="legend-box positive"></span> relationships with water insecurity, some negative <span class="legend-box negative"></span>, and others unknown <span class="legend-box unknown"></span> <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023</a>; <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes and others, 2024)</a>`,
      bubbleYaxis: `The y-axis of the chart represents the level of agreement among studies where increased <b>consensus</b> indicates a majority of studies using the selected determinant recorded the same direction of influence on conditions of water insecurity and <b>inconclusive</b> indicates studies using the selected determinant did not record the same direction of influence on conditions of water insecurity. The size of the bubbles on the chart represents the number of studies, with larger bubbles indicating that a particular determinant has been studied more frequently.`,
      bubbleYlabelMax: `Consensus`,
      bubbleYlabelMin: `Inconclusive`,
@@ -60,8 +55,8 @@ export default {
      },
      bubbleCheckboxEnd: `(like drought or pollution).  Below is a chart that displays how certain social vulnerability determinants relate to water insecurity.`,
      appeared: "appeared in",
-      singleStudy: `since`,
+      singleStudy: `study`,
-      multipleStudies: `multiple`,
+      multipleStudies: `studies`,
      dendroExplainer: `Click on the topics below to see the different vulnerability indicators studied in relation to water insecurity. Thicker diagram lines indicate more well-studied topics. The number of studies for each indicator are displayed in parentheses.`
    },
    authorSection: {

--- a/src/assets/text/text_es.js
+++ b/src/assets/text/text_es.js
@@ -6,26 +6,21 @@ export default {
    introNarrative: {
      paragraph1: `Imagine, por ejemplo, que vive en una casa grande de una zona residencial donde el agua potable fluye de cada grifo. Hay suficiente agua para que disfrute con su familia de un bonito jardín cada año. La compañía de agua se ocupa de tratarla y mantener los sistemas de tuberías con regularidad, para asegurarse de que el agua continúe siendo apta para el consumo humano.`,
      paragraph2: `Ahora imagine que vive en una pequeña comunidad rural a las afueras de la ciudad. Tiene su propio pozo, pero, desde hace unos años, usted y sus vecinos han tenido que cavar cada vez más profundo para llegar al nivel del agua. A estas aguas subterráneas se les han ido filtrando metales pesados, producto de aguas residuales industriales y la corrosión de tuberías de cobre soldadas con plomo. Sin embargo, no tiene forma de tratar el agua antes de que su familia la beba. Hay un estanque cercano que cada verano por la falta de agua adquiere un tono verde horrendo a medida que proliferan las algas tóxicas.`,
-      paragraph3: `Una escena así es difícil de imaginar, pero se trata desafortunadamente de situaciones de la vida real de muchos estadounidenses. Más de 2,2 millones de estadounidenses carecen de agua corriente y plomería básica en su hogar <a href='https://www.digdeep.org/draining' target='_blank'>(DigDeep, 2022)</a>, y aproximadamente el 3% de los sistemas de agua comunitarios tienen problemas graves de calidad del agua <a href='https://www.nature.com/articles/s41467-021-23898-z' target='_blank'>(Mueller and Gasteyer, 2021)</a>. El acceso limitado al agua potable puede ser el resultado de un solo acontecimiento, como el <a href='https://storymaps.arcgis.com/stories/7f105650f97e4b20839edb65de3b12ce' target='_blank'>descarrilamiento del tren que transportaba sustancias químicas peligrosas en East Palestine, Ohio,</a> o puede resultar a largo plazo a causa de una infraestructura que se haya ido desgastando, como fue el caso de los <a href='https://www.npr.org/sections/thetwo-way/2016/04/20/465545378/lead-laced-water-in-flint-a-step-by-step-look-at-the-makings-of-a-crisis' target='_blank'>niveles extremadamente peligrosos de plomo en el agua para consumo humano de Flint, Michigan.</a>`,
+      paragraph3: `Esta escena puede parecer difícil de creer, pero el acceso inadecuado al agua limpia es la desafortunada realidad para muchos estadounidenses. Más de 2,2 millones de estadounidenses carecen de agua corriente y plomería básica en su hogar <a href='https://www.digdeep.org/draining' target='_blank'>(DigDeep, 2022)</a>, y aproximadamente el 3% de los sistemas de agua comunitarios tienen problemas graves de calidad del agua <a href='https://www.nature.com/articles/s41467-021-23898-z' target='_blank'>(Mueller and Gasteyer, 2021)</a>. El acceso limitado al agua potable puede ser el resultado de un solo acontecimiento, como el <a href='https://storymaps.arcgis.com/stories/7f105650f97e4b20839edb65de3b12ce' target='_blank'>descarrilamiento del tren que transportaba sustancias químicas peligrosas en East Palestine, Ohio,</a> o puede resultar a largo plazo a causa de una infraestructura que se haya ido desgastando, como fue el caso de los <a href='https://www.npr.org/sections/thetwo-way/2016/04/20/465545378/lead-laced-water-in-flint-a-step-by-step-look-at-the-makings-of-a-crisis' target='_blank'>niveles extremadamente peligrosos de plomo en el agua para consumo humano de Flint, Michigan.</a>`,
      paragraph4: `Las poblaciones marginadas a menudo se ven afectadas de manera desproporcionada por la carencia de agua. Las comunidades de color y las personas que viven por debajo del umbral de pobreza suelen ser las más afectadas por <span class="tooltip-group"><span class="tooltip-span">los riesgos relacionados con el agua,</span><span id='water-hazards-tooltip' class="tooltiptext"> un fenómeno natural y una situación en la que existe un peligro para la vida, la salud, el medio ambiente, la propiedad y la sociedad. Algunos ejemplos de riesgos relacionados con el agua son las inundaciones, las sequías y las marejadas ciclónicas.</span></span> ya que carecen de los medios para protegerse adecuadamente. Pueden encontrar trabas para la reubicación o dificultades para ausentarse del trabajo, la falta de sueldo o pagar gastos médicos. En el caso de la crisis de agua en Flint, Michigan, las comunidades de negros y de bajos ingresos, que en ese momento representaban el <a href='https://apnews.com/general-news-7b2bcfdcc8d74ece9e0cb167a2239745' target='_blank'>57% y el 42%</a> de la población de Flint, respectivamente, fueron algunas de las comunidades socioeconómicamente desfavorecidas más afectadas por la exposición al plomo. Independientemente de la causa, el riesgo de experimentar una carencia de agua potable está estrechamente relacionado con el nivel de <span class="tooltip-group"><span class="tooltip-span">riesgo social</span><span id='social-vulnerability-tooltip' class="tooltiptext">Condiciones en las que los factores sociales determinan la exposición a los riegos, la susceptibilidad a sufrir daños y la capacidad para hacer frente a las pérdidas y recuperarse de ellas.</span></span>.`,
    },
    mapText: {
      title: "Indicadores de riesgo en los estados del oeste",
      p1Title: "Tamaño del hogar ",
      paragraph1: "La infraestructura y los elementos institucionales son los factores determinantes principales de acceso y seguridad del suministro de aguas en los Estados Unidos <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>(Drakes y otros, 2024)</a>. <a href='https://wires.onlinelibrary.wiley.com/doi/10.1002/wat2.1486' target='_blank'>Meehan y otros (2020)</a> encontraron que 471 000 hogares o 1,1 millones de personas carecían de acceso a agua corriente entre 2013 y 2017, con la mayoría (73%) de estos hogares ubicados en áreas metropolitanas y casi la mitad (47%) en las 50 mayores áreas urbanas. Los estudios consultados mostraban que indicadores como el tamaño del hogar, las mujeres cabeza de familia, la población femenina y el porcentaje de mujeres en la fuerza laboral se relacionaban positivamente de manera predominante e influían en las condiciones de falta de acceso al agua. A continuación, se muestra un mapa por condados de la media del tamaño de los hogares, de viviendas ocupadas, donde los condados con la media de hogares de mayor tamaño, en azul oscuro, incluyen los condados de Oglala Lakota y de Todd en Dakota del Sur y el condado de Madison en Idaho. ",
-      caption1: `<span class="tooltip-group"><span class="tooltip-span">Mapa de coropletas </span><span id="choropleth-map-tooltip" class="tooltiptext">Tipo de mapa que muestra áreas geográficas divididas o regiones de diferentes colores, tonos o patrones en relación con una variable de datos. Esto proporciona una forma de visualizar parámetros por área geográfica, que puede mostrar similitudes o patrones en la ubicación mostrada.</span></span> del tamaño promedio de los hogares, de vivienda ocupadas, por condados en los EE. UU. colindantes. El mayor tamaño promedio de vivienda se encontró en los condados de Oglala Lakota en Dakota del Sur (5), de Madison en Idaho (3.9) y de Todd en Dakota del Sur (3.8) <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(Oficina del Censo de EE. UU., 2022).</a>`,
      p2Title: "Desigualdad de ingresos",
      paragraph2: "Las personas de bajos ingresos y empobrecidas tienen más probabilidades de experimentar condiciones asociadas con la carencia de agua potable. Además, la desigualdad de ingresos es un predictor muy significativo de la 'pobreza de plomería', es decir, de los hogares que carecen de plomería interior completa <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan y otros, 2020)</a>.El mapa por condados a continuación muestra la media de ingresos por hogar en los últimos 12 meses (en dólares ajustados a la inflación de 2022). Los condados con la mayor media de ingresos por hogar se muestran en azul oscuro e incluyen los condados de Santa Clara, de San Mateo y de Marín en California.",
-      caption2: `Mapa de coropletas de madia de ingresos por hogar en los últimos 12 meses (en dólares ajustados a la inflación de 2022) por condados en los EE. UU. colindantes. Las mayores medias de ingresos incluyen los condados de Santa Clara (153,792), de San Mateo (149,907) y de Marín (142,019) en California <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(Oficina del Censo de EE. UU., 2022).</a>`,
      p3Title: "Disparidad en alquileres ",
      paragraph3: "A medida que aumenta el valor medio de los alquileres, la carencia de agua potable tiende a disminuir, lo que seguramente refleja un mayor acceso a recursos para poblaciones más ricas <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines y otros, 2023)</a>. Ahora bien, los que alquilan tienden a tener un mayor riesgo de pérdidas por los riesgos relacionados con el agua en comparación con los propietarios de viviendas. Después de un desastre natural, es más probable que los que alquilan se muden y menos probable que soliciten y reciban asistencia. Los que alquilan también suelen carecer de la autoridad y los medios para realizar cambios estructurales en la vivienda para la mitigación, respuesta o recuperación de riesgos, lo que aumenta los riesgos y la susceptibilidad de los que alquilan a la vez que se reduce su capacidad para hacer frente a los mismos <a href='https://doi.org/10.1016/j.ijdrr.2020.102010' target='_blank'>(Drakes y otros, 2021) </a>.",
-      caption3: `Mapa de coropletas de la media de alquiler bruto por condados en los EE. UU. colindantes. La media de alquileres brutos medios más altos incluye los condados de San Mateo (2,805), de Santa Clara (2,719) y de Marín (2,487) en California <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(Oficina del Censo de EE. UU., 2022).</a>`,
      p4Title: "Poblaciones hispanas ",
      paragraph4: "Las poblaciones hispanas corren un mayor riesgo de carencia de agua potable <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines y otros, 2023)</a>.En algunas áreas del país, los hogares hispanos tienen más probabilidades de experimentar una 'pobreza en plomería'<a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan y otros, 2020)</a>—particularmente en el oeste de los Estados Unidos.De hecho, las investigaciones muestran que, aunque los hogares con cabeza de familia hispano representan menos del 13% de todos los hogares de los EE. UU., representan casi el 17% de los hogares con plomería sin terminar <a href='https://doi.org/10.1080/24694452.2018.1530587' target='_blank'>(Deitz y Meehan, 2019)</a>. El mapa por condados a continuación muestra el porcentaje de poblaciones hispanas donde los condados con el mayor porcentaje de hispanos, en azul oscuro, incluyen los condados de Kenedy, de Starr y de Webb en Texas. Estas áreas se ven particularmente afectadas por la combinación de los desafíos de la carencia de agua potable y la pobreza de plomería.",
-      caption4: `Mapa de coropletas del porcentaje de hispanos o latinos por condados en los Estados Unidos colindantes. El mayor porcentaje de hispanos se encontraba en los condados de Kenedy (96.6%), de Starr (96.2%) y de Webb (95.4%) en Texas <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(Oficina del Censo de EE. UU., 2022).</a>`,
      p5Title: "Poblaciones discapacitadas",
-      paragraph5: "Las poblaciones con necesidades especiales y discapacidades pueden vivir en lugares más expuestos a riesgos relacionados con el agua <a href='https://www.sciencedirect.com/science/article/abs/pii/S0277953619301121' target='_blank'>(Chakraborty y otros, 2019)</a>o experimentar un abastecimiento de agua potable poco fiable o intermitente <a href='https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155043' target='_blank'>(White y otros, 2016)</a>. Por ejemplo, <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes y otros (2024)</a> encontraron que las poblaciones con necesidades especiales y discapacitadas estaban asociadas con una mayor probabilidad de condiciones de carencia de agua potable en el oeste de los Estados Unidos. Sin embargo, solo dos estudios han medido la relación entre la discapacidad y la falta de agua, y esta investigación sobre el tema se limitó solo al sector de aguas municipales. El mapa a continuación muestra el porcentaje de personas discapacitadas por condados, donde los condados con el mayor porcentaje de discapacitados, en azul oscuro, incluyen los condados de Catron y de Mora en Nuevo México y el condado de Kinney en Texas.",
+      paragraph5: "Las poblaciones con necesidades especiales y discapacidades pueden vivir en lugares más expuestos a riesgos relacionados con el agua <a href='https://www.sciencedirect.com/science/article/abs/pii/S0277953619301121' target='_blank'>(Chakraborty y otros, 2019)</a>o experimentar un abastecimiento de agua potable poco fiable o intermitente <a href='https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155043' target='_blank'>(White y otros, 2016)</a>. Por ejemplo, <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes y otros (2024)</a> encontraron que las poblaciones con necesidades especiales y discapacitadas estaban asociadas con una mayor probabilidad de condiciones de carencia de agua potable en el oeste de los Estados Unidos. Sin embargo, solo dos estudios han medido la relación entre la discapacidad y la falta de agua, y esta investigación sobre el tema se limitó solo al sector de aguas municipales. El mapa a continuación muestra el porcentaje de personas discapacitadas por condados, donde los condados con el mayor porcentaje de discapacitados, en azul oscuro, incluyen los condados de Catron y de Mora en Nuevo México y el condado de Kinney en Texas."
-      caption5: `Mapa de coropletas del porcentaje de personas con discapacidad del total de la población civil no institucionalizada por condados en los EE. UU. colindantes. El mayor porcentaje de discapacitados se registró en los condados de Catron (41 %) y de Mora (34 %) en Nuevo México y el condado de Kinney (34 %) en Texas <a href='https://www.census.gov/data/developers/data-sets/acs-5year.html' target='_blank'>(Oficina del Censo de EE. UU., 2022).</a>`
    },
    metaAnalysisText: {
      title: "Metaanálisis del riesgo de la falta de agua potable",
@@ -44,7 +39,7 @@ export default {
    },
    chartText: {
      bubbleText: "Interactúe con el gráfico para ver diferentes muestras<br>de los factores determinantes de riesgo social.",
-      bubbleLegend: `Se han estudiado muchos factores determinantes de riesgo social. Algunos muestran relaciones positivas <span class="legend-box positive"></span> con la carencia de agua, otros negativas <span class="legend-box negative"></span>, y otros desconocidas <span class="legend-box unknown"></span> <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines y otros, 2023)</a>`,
+      bubbleLegend: `Se han estudiado muchos factores determinantes de riesgo social. Algunos muestran relaciones positivas <span class="legend-box positive"></span> con la carencia de agua, otros negativas <span class="legend-box negative"></span>, y otros desconocidas <span class="legend-box unknown"></span> <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines y otros, 2023</a>; <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes y otros, 2024)</a>`,
      bubbleYaxis: `El eje Y del gráfico representa el nivel de acuerdo entre los estudios, donde el aumento del <b>consenso</b> indica que la mayoría de los estudios que utilizaron el factor determinante seleccionado indicaron el mismo tipo de influencia en las condiciones de carencia de agua y <b>no concluyentes</b> indica que los estudios que utilizaron el factor determinante seleccionado no indicaron un mismo tipo de influencia en las condiciones de carencia de agua. El tamaño de las burbujas en el gráfico representa el número de estudios, y las burbujas más grandes indican que un factor determinante particular se ha estudiado con más frecuencia.`,
      bubbleYlabelMax: `Consenso`,
      bubbleYlabelMin: `No concluyentes`,

--- a/src/components/MapsSection.vue
+++ b/src/components/MapsSection.vue
@@ -35,7 +35,6 @@
              alt="Choropleth map of average household size, of occupied housing units, at the county-level across the contiguous U.S.. The greatest average housing size were in Oglala Lakota County, South Dakota (5), Madison County, Idaho (3.9) and Todd County, South Dakota (3.8) (U.S. Census Bureau, 2022)."
            />
          </picture>
-          <figcaption><p v-html="t('text.components.mapText.caption1')"></p></figcaption>
        </div>
        <!-- Accordion 2 -->
@@ -65,7 +64,6 @@
              alt="Choropleth map of percent of Hispanic populations at the county-level across the contiguous U.S.. The greatest percent Hispanic were in Kenedy County, Texas (96.6%), Starr County, Texas (96.2%) and Webb County, Texas (95.4%) (U.S. Census Bureau, 2022)."
            />
          </picture>
-          <figcaption><p v-html="t('text.components.mapText.caption4')"></p></figcaption>
        </div>
        <!-- Accordion 3 -->
@@ -95,7 +93,6 @@
              alt="Choropleth map of percent with a disability of total civilian noninstitutionalized population at the county-level across the contiguous U.S.. The greatest percent disabled were in Catron County, New Mexico (41%), Mora County, New Mexico (34%) and Kinney County, Texas (34%) (U.S. Census Bureau, 2022)."
            />
          </picture>
-          <figcaption><p v-html="t('text.components.mapText.caption5')"></p></figcaption>
        </div>
        <!-- Accordion 4 -->
@@ -125,7 +122,6 @@
              alt="Choropleth map of median household income in the past 12 months (in 2022 inflation-adjusted dollars) at the county-level across the contiguous U.S.. The greatest median incomes include Santa Clara County, California ($153,792), San Mateo County, California ($149,907) and Marin County, California ($142,019) (U.S. Census Bureau, 2022)."
            />
          </picture>
-          <figcaption><p v-html="t('text.components.mapText.caption2')"></p></figcaption>
        </div>
        <!-- Accordion 5 -->
@@ -155,7 +151,6 @@
              alt="Choropleth map of median gross rent at the county-level across the contiguous U.S.. The greatest median gross rents include San Mateo County, California ($2,805), Santa Clara County, California ($2,719) and Marin County, California ($2,487) (U.S. Census Bureau, 2022)."
            />
          </picture>
-          <figcaption><p v-html="t('text.components.mapText.caption3')"></p></figcaption>
        </div>
      </div>   
@@ -277,6 +272,13 @@ $ThemeGrey: var(--color-themegrey);
  margin: 20px;
 }
+.panel img {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+  max-width: 100%;
+}
 .households-accordion.active + .households-panel {
  display: block;
 }
@@ -286,17 +288,6 @@ $ThemeGrey: var(--color-themegrey);
  font-weight: bold;
 }
-figcaption {
-  background-color: white;
-  color: black;
-  padding: 16px;
-  width: 100%;
-  text-align: left;
-  line-height: 1.2;
-  font-size: 2 rem;
-  font-family: 'Source Sans Pro', sans-serif;
-  margin-top: 8px;
-}
 </style>