Examkin

Soru

Zorluk: ZorSummary: Distinguishing Essential Ideas from Irrelevancies

Read the passage below carefully and answer the question that follows:

Across several sub-Saharan African nations, the integration of artificial intelligence into epidemiological surveillance is revolutionizing malaria eradication efforts. Traditionally, public health agencies relied on historical hospital data and manual field reports to allocate vector control resources like insecticide-treated nets and indoor residual spraying. However, this retrospective approach often resulted in delayed interventions during unexpected seasonal outbreaks. By analyzing real-time satellite imagery, micro-climate data, and vector population dynamics, predictive machine-learning models now allow authorities to forecast localized transmission spikes up to six weeks in advance. For example, during a recent trial in the Niger Delta region, an AI-driven warning system enabled health workers to deploy larvicides before mosquito larvae matured, resulting in a forty percent reduction in clinical cases. Similar machine-learning frameworks are also being deployed in Kenya to track agricultural pest migrations. Nevertheless, the ultimate success of these predictive epidemiological models hinges on their capacity to preemptively direct vector control interventions to high-risk zones before outbreak occurrences.

Which of the following statements best expresses the essential idea of the passage while excluding supporting details and non-essential illustrations?

  1. Predictive machine-learning models enhance malaria eradication by enabling health authorities to proactively target high-risk areas prior to disease outbreaks.Cevap
  2. B
    A trial in the Niger Delta proved that early larvicide deployment achieves a forty percent reduction in clinical malaria cases.
  3. C
    Artificial intelligence will soon eliminate all infectious disease transmission and replace field health workers across sub-Saharan Africa.
  4. D
    Public health agencies across Africa continue to rely exclusively on retrospective hospital reports to allocate vector control resources.

Cevap

Predictive machine-learning models enhance malaria eradication by enabling health authorities to proactively target high-risk areas prior to disease outbreaks.
The correct answer accurately synthesizes the main thesis of the passage: machine-learning models improve disease control by allowing public health agencies to target high-risk areas proactively before outbreaks happen. It excludes specific empirical trial data and tangential references.

Adım Adım Çözüm

1
Identify the author's primary argument and main thesis.
The passage highlights how AI-driven predictive modeling transforms vector control from reactive delayed responses to proactive, targeted interventions.
Recognizing the main claim provides the framework for distinguishing the core message from minor points.
2
Isolate supporting evidence and secondary examples from the core message.
The 40% case reduction in the Niger Delta trial is a specific supporting illustration, and the mention of Kenya's agricultural pests is a secondary application.
Empirical examples and tangential comparisons reinforce an argument but are not the summary itself.
3
Evaluate candidates against the criteria of essential thesis representation and logical bounds.
The statement highlighting proactive targeting in high-risk zones encapsulates the entire passage's main thesis concisely without including non-essential details or over-inferences.
An effective summary must be comprehensive yet concise, omitting redundant illustrations and avoiding unsupported claims.

Anahtar Kavram

Summary: Distinguishing Essential Ideas from Irrelevancies
Bu soruyu puanla

Konular

Summary: Distinguishing Essential Ideas from Irrelevancies

Bu konudan daha fazla soru