Ivermectin and the odds of hospitalization due to COVID-19: evidence from a quasi-experimental analysis based on a public intervention in Mexico City

ObjectiveTo measure the effect of Mexico City’s population-level intervention –an ivermectin-based Medical Kit – – in hospitalizations during the COVID-19 pandemic.MethodsA quasi-experimental research design with a Coarsened Exact Matching method using administrative data from hospitals and phone-call monitoring. We estimated logistic-regression models with matched observations adjusting by age, sex, COVID severity, and comorbidities. For robustness checks separated the effect of the kit from phone medical monitoring; changed the comparison period; and subsetted the sample by hospitalization occupancy,ResultsWe found a significant reduction in hospitalizations among patients who received the ivermectin-based medical kit; the range of the effect is 52%- 76% depending on model specification.ConclusionsThe study supports ivermectin-based interventions to assuage the effects of the COVID-19 pandemic on the health system.

Evaluate call center performance using Big Data Analytics

An assessment of the quality of call centers (CCS) can be described as the process of listening to recorded conversations between an operator or technical support service and a customer to assess the effectiveness of the operator and its performance. The main problem with quality control is that managers or supervisors do not have time to listen to all records, and therefore only a few of the total number of saved conversation records are randomly selected. This leads to inaccurate measurements of performance, since most of the records of calls are not tapped. This article presents a distributed call monitoring system to evaluate all recorded calls using multiple quality criteria. In the proposed system, we analyze a large number of call records using the popular Hadoop MapReduce platform, and using text algorithms such as cosine transformation and N-gram. Lists of slang words were also integrated into the monitoring system. Empirical call records are used to demonstrate the performance of the proposed call monitoring system.

Real Time Call Monitoring System Using Spark Streaming and Network Intrusion Detection Using Distributed WekaSpark

With the increase of calls in industries it is very difficult to identify the calls made in a huge organization. The study and developing analytics out of the call history generated in terms of real time or the information stored helps in the improvement of the quality of calls in terms of network failure analysis, analysing call usage pattern from minimal to maximum to increase server efficiency, analyse user level pattern. The capability to process, analyse and evaluate real time data in a system is a challenging task, the test of building up an adaptable, shortcoming tolerant and flexible observing framework that Can deal with information continuously and at a huge scale is nontrivial. We exhibit a novel framework for real time processing and batch processing by using spark streaming and spark, also an ensemble model is used with distributed weka-spark for intrusion detection.

An unidentified nocturnal flight call from southern Mexico

In fall migration 2012 an avian nocturnal flight call monitoring station at Minatitlán, Veracruz, Mexico logged a previously unreported call type. The simultaneous two-toned nature of the vocalization is consistent with production from a syrinx (i.e. not from a bat or flying squirrel). The less than 100 ms duration of the call, the 6-10 kHz frequency range, and the characteristics we collected of its nightly and hourly periodicity are congruent with calls given by many small passerines that migrate at night across North America. Yet the call is distinct from night flight calls of neotropical migrant species that regularly traverse eastern USA in spring and fall migration. We have considered the known species that migrate through Veracruz and there are a number of candidates for the caller, but the identity has eluded us. We submit here the mystery and evidence we have gathered for review by others who may have special insight or who may carry on the investigation. Identifying the call would enable the possibility for automatically documenting nocturnal migration activity of the species across its range with specialized audio processors.