
The figure presented is titled figure 7.1 bottlenecks in case detection. The figure is an actual representation of the number of bottlenecks in case detection.


This graph lists the bottlenecks that plague case detection for malaria. The first bar shows the amount of cases, while subsequent decreasing bars show the amount that make it through the system and are actually captured and recorded in the end.


This chart describes bottlenecks in case detection for malaria case to be captured by a surveillance system several conditions must be met: the patient seeks treatment.


This chart describes bottleneck in case detection. Specifically, for a malaria case to be captured by a surveillance system, several conditions have to be met.


figure 17.1 bottlenecks in cause detection. a small blip about malaria diagnosis, Y axis is nonexistent. X axis is not labeled but we see bars representing different aspects of malaria detection and treatment


The image shows a bar graph of bottlenecks in case detection of malaria. The data shows that few cases are recorded and reported, tested, and covred by surveillance systems. Actual cases of malaria reported are high, with many people seeking treatment, and typical seeking treatment at a government healthcare facility. Major disparity between detected, recorded and reported cases, and actual cases.


This is a graph that describes a the conditions for a malaria case to be captured by a surveillance system. The patient must seek treatment at a health care facility, that is usually government run.


This bar graph shows the study of cases of Malaria in a country and how each case is reported and how this effects the actual number of individuals with Malaria. The difference between patience with Malaria, those that seek treatment, those that have received treatment at a government health facility and the cases that were recorded properly.


The graph is depicting how many malaria cases there were compared to how many were seeking treatment, with each consecutive bar getting more specific, with how many sought treatment at a government facility, seeking treatment at a government facility with a surveillance system, how many were actually tested, and finally how many were recorded and reported. We can see that though there is a high rate of malaria cases, as specifications increased, the bars got steadily lower, with very few cases being recorded and reported.


This is a graph about bottle necks in case detection. IT shows malaria cases, those seeking treatment, at a government health facility, covered by surveillance systems, tested, and recoreded/reported


This chart shows the number of malaria cases. Of the cases it shows the number that have been tested at government facilities, tracked, recorded and reported..


The chart describes the bottleneck in the detections of the malaria cases. We can see that from all the malaria cases, those who are seeking treatment are approximately 80 % of the total cases, about half of these cases seek help at a government health facility, about a quarter is covered by surveillance system and less than 10% are tested, recorded & reported


The image depicts a bar graph of bottlenecks in case detection of malaria by surveillance systems. The data shows far more cases of malaria, versus malaria victims seeking treatment, seeking treatment at governmental health facilities, actually being covered by surveillance systems, being tested, as well as recorded and reported. Many cases of malaria are occurring and not being properly detected or cataloged by systems.


This graph shows the bottlenecks that occur in malaria case detection reported through a surveillance system in diagnosed and reported cases. The graph itself is a hypothetical figure.


This graphs shows the relation between how many total malaria cases there are, and how many less people are seeking treatment, seeking treatment at a government health facility, which are covered by a surveillance system for reporting purposes, and how many actually get tested and recorded in the end, which is a fraction of how many malaria cases there are.

