Research on Covid 19 Pandemic
Introduction
The pressures to find out the rate at which the coronavirus is spread and the lives of certain employees exposed to it are the research questions. Concerning the research methodology, it offers a comprehensive explanation concerning the process and steps deployed during the study. In this regard, the pandemic information, the research design, data requirements, and its collection methods, techniques of sampling, and tools for acquiring information from the targeted community. On top of the analysis done above, there certain research stages including the detailed stages leading to the age analysis, area of residence, means to work, risk of contraction, and travel history.
Age analysis
Because Covid 19 affects the aging mostly the ones suffering from an underlying medical condition, there is a little difference between men and women hence making it tougher to use gender as a method of research. However, a striking anomaly has indicated a high rate of fatality of the middle-aged as that lies between 20-39. Also, the disease does not have a clear pattern as to how it affects the employees. The age group that follows with the highest rate is 40-49. Lastly the last group of employees being from 50-60.
Areas of residence affected by Covid 19
The strain of coronavirus that is rapidly growing in all areas of Kenya has made our organization gain interest in the area of residence affected. The study of the rate at which it spreads in the area of residence (49) in number was done according to the frequency and the number of residents affected by this disease. It was further categorized into the location and (8) sub-counties.
The result showed one case in Bahati, one in Chenga, two in Dagoretti, two in Dandora, one in Donholm, three in Eastlands, two in Eastleigh, thirty in Embakasi, one in Highrise, eight in Imara daima, four in an industrial area, one in Jogoo road, two in Kaloleni east, three in Kangemi, three in Kariobangi, three in Kawangware, three in Kayaba, ten in Kayole, one in Kiambio, two in Kiambu, two in Kibra, one in Komarock, one in Korogocho, three in Landmawe, one in Langata, two in Lungalunga, seven in Makadara, two in Makongeni, two in Mathare north, one in mlolongo, two in Morlem, six in Mukuru, two in Nairobi south, one in Ngara, one in Outering east, two in Pangani, twenty-nine in Pipeline, one Ruaraka, eighteen South B, one in Starehe, one in Swai, three in Tasia, one in Tena estate, one in Tetrapak, six in Umoja, one in Waithaka and the last having one in Westlands.
The analysis above was done on (227) people all from the sub-counties above which include Starehe, Makadara, Embakasi North, Embakasi south, Langata, Westlands, Mathare, and Dagoretti. Our result showed areas such as Embakasi North and South having high exposure to Covid 19 and Westlands having the lowest number of infections.
Means to work
Our next analysis highlighted on the means of transport used by the employees above. The categories included employees who used private means of transport, the public, and the ones who took a walk to their respective residences. According to our report we found out that eight (8) people had private vehicles to take them home, a hundred and twenty (120) walked home and the rest used public means to reach their homes. This indicated that many people were at risk of getting Covid 19 due to the increased chances of contracting it while using public means.
Travel history
According to our research, we found out that almost our employees did not have a travel history throughout the virus mainly because of the lockdown. Only twenty-two (22) employees traveled to various counties which included Baringo, Kakamega, Bungoma, Kisii, Kitui, Machakos, Makueni, Muranga, Vihiga, and Trans-Nzoia.
Risk of Contraction outside
According to the employees, most of them believed that they had no risk of contracting the disease outside. Twenty-three (23) out of two hundred and twenty-seven (227) believed that they were at risk to contract corona from outside. Some of the reasons given according to our survey were ignorance of measures, risky neighboring surroundings, use of public transport, rate of infection, and interaction with people.
Employees missing (contract)
We found out that fourteen (14) employees missed out on the research because they were on a contract basis.