Replication Data for: Spatial–temporal clustering of malaria using routinely collected health facility data on the Kenyan Coast
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'A simultaneous 12-month surveillance dataset (March 2018-February 2019) from six government out-patient health facilities. The overall aim of the related research project was to explore the spatial and temporal dynamics of fever positive rapid diagnostic test (RDT) malaria cases. </p' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Heterogeneity","Hotspots","Malaria","Spatial clusters","Spatial–temporal dynamics"]} <|eot_id|>
 Here is the Description of a dataset. Description:'A simultaneous 12-month surveillance dataset (March 2018-February 2019) from six government out-patient health facilities. The overall aim of the related research project was to explore the spatial and temporal dynamics of fever positive rapid diagnostic test (RDT) malaria cases. </p' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
A simultaneous 12-month surveillance dataset (March 2018-February 2019) from six government out-patient health facilities. The overall aim of the related research project was to explore the spatial and temporal dynamics of fever positive rapid diagnostic test (RDT) malaria cases. </p
Heterogeneity; Hotspots; Malaria; Spatial clusters; Spatial–temporal dynamics