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Travel

Flight data could reduce the need for Omicron travel bans

Source: https://forwardkeys.com/flight-data-could-reduce-the-need-for-omicron-travel-bans/

A new report from ForwardKeys reveals which destinations were the most visited since 1st November by travellers from the eight southern African countries currently designated as most at risk due to the Omicron variant of COVID-19 – namely Botswana, Eswatini, Lesotho, Malawi, Mozambique, Namibia, South Africa and Zimbabwe. The data supports calls from many people objecting to immediate travel restrictions imposed on travel to and from these African countries.

Based on arrival numbers, the countries most visited are Qatar and the UAE, each with 12% of travellers from the at-risk Omicron countries. The UK and Ethiopia are next, each with 7%.

The top ten airport hubs most used by those travellers were Doha, with 22%, Addis Ababa, 15%; Dubai, 13%; Lusaka, 6%; Johannesburg, 6%; Nairobi, 6%; Frankfurt, 4%; Amsterdam, 3%; Paris, 3% and London Heathrow, 2%.

Olivier Ponti, VP of Insights at ForwardKeys, said: “We are acutely aware of the dreadful damage done by COVID-19 to people’s health, but also of the damage done to countries’ economies by the measures governments have felt compelled to take in response to it. We believe that the best policies to control the spread of Omicron and other variants should be based on facts, not fear. If blanket bans on travel can be avoided, that must be the preferable strategy. Fortunately, travel data can help by telling policymakers exactly where people from the at-risk areas went and where they connected.”

To learn more about the data behind this article and what ForwardKeys has to offer, visit http://forwardkeys.com.

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Consumer Edge Insight offers exclusive street-ready big-data products engineered for alpha generation by Data Science Teams & Portfolio Managers alike. CEI offers a number of alternative data products including CE Transact, our leading U.S. credit/debit card insight product (15M cards). CE Transact products provide aggregated revenue signal, deep fundamental cohort analysis and/or granular transaction-level data feeds with unparalleled metadata. Advantages: shortened latency (T+4), better panel representativeness (9M+ daily panel), and metadata integration such as demographics (at cardholder level). All data is cleaned with CEs Advanced Tagging System.