To implement Dijkstra's Algorithm in JavaScript, the key data structures and variables needed include:

A graph data structure to represent the input graph.

A priority queue to keep track of the vertices with the shortest distance from the source vertex.

A distance array to keep track of the minimum distance of each vertex from the source vertex.

A visited array to keep track of the visited vertices.

Here is a sample implementation of Dijkstra's Algorithm in JavaScript:

function dijkstra(graph, start) {
  let distance = [];
  let visited = [];
  let pq = new PriorityQueue();

  // Set distance of all vertices to Infinity and visited to false
  for (let i = 0; i < graph.length; i++) {
    distance[i] = Infinity;
    visited[i] = false;
  }

  // Initialize source vertex distance to 0 and add it to priority queue
  distance[start] = 0;
  pq.enqueue(start, 0);

  while (!pq.isEmpty()) {
    let current = pq.dequeue().element;
    visited[current] = true;

    // Check neighbors of current vertex
    for (let j = 0; j < graph[current].length; j++) {
      let neighbor = graph[current][j][0];
      let weight = graph[current][j][1];

      // Calculate new distance and update if shorter
      let dist = distance[current] + weight;
      if (dist < distance[neighbor]) {
        distance[neighbor] = dist;
        pq.enqueue(neighbor, dist);
      }
    }
  }

  return distance;
}
Note that this implementation assumes that the input graph is represented as an adjacency list where each element of the outer array represents a vertex and its corresponding inner array contains the neighboring vertices and their edge weights.

The PriorityQueue class is not built into JavaScript and needs to be implemented separately.
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