The epidemiological characteristics of 2019 novel coronavirus diseases (COVID-19) in Jingmen, Hubei, China

Abstract

There is currently a global outbreak of coronavirus disease 2019 (COVID-19), and its epidemic characteristics in the areas where the outbreak has been successfully controlled are rarely reported. Describe the epidemic characteristics of COVID-19 in Jingmen, Hubei, introduce the local prevention and control experience, and observe the impact of various prevention and control measures on the number of new cases. All the COVID-19 patients diagnosed in the municipal districts of Jingmen from January 12 to February 29, 2020 were enrolled in this study. We described epidemiological data and observed the impact of control measures on the epidemic. Of the 219 cases (110 men and 109 women), 88 (40%) had exposure to Wuhan. The median age was 48 years (range, 2–88 years; IQR, 35–60). Thirty-three severe patients with a median age of 66 years (range, 33–82 years, IQR, 57–76) were treated in intensive care units; out of these patients, 66.7% (22) were men and 19 (57.5%) had chronic diseases, including hypertension, diabetes, heart failure, stroke, and renal insufficiency. Under the control measures, the number of new patients gradually decreased and nearly disappeared after 18 days. Wearing masks in all kinds of situations prevents most infections and is one of the most effective prevention and control measures. In conclusion, all people are susceptible to COVID-19, and older males and those with comorbid conditions are more likely to become severe cases. Even though COVID-19 is highly contagious, control measures have proven to be very effective, particularly wearing masks, which could prevent most infections.

Prognostic Factors at Admission for In-Hospital Mortality from COVID-19 Infection in an Older Rural Population in Central Spain

“…The relationship between risk of in-hospital mortality and other comorbidities proposed in some series, including high blood pressure [ 29 ], diabetes [ 16 , 20 ], or obesity [ 30 , 31 , 32 , 33 ] were not found in our study. This is in line with the results obtained by two meta-analyses carried out by Wu et al [ 34 ] and Figliozzi et al [ 24 ], which demonstrated that comorbidities and organ dysfunction can aggravate COVID-19, but not directly determine death.…”

Epidemic Risk Assessment by a Novel Communication Station Based Method

“…Until now, there is no directly effective vaccine against the virus and the treatments are mainly symptomatic support therapy, as many antibiotics and antiviral drugs were confirmed ineffective. Even though the COVID-19 virus is highly contagious, according to the latest research, some control methods have proven to be very effective, particularly wearing masks, which could prevent most infections [3], [11], [13], [21], [28], [29], [35], [36], [47].…”

Prevalência e aspectos epidemiológicos da COVID-19 na 9ª Região de Saúde de Alagoas

“…Ao analisar a razão de chance entre os óbitos por COVID-19 e as principais comorbidades relatadas pelos pacientes, o Odds Ratio mostrou que pessoas com diabetes têm 8,7 vezes mais chances (OR = 8,7; IC 95% = 6,6;11,4 p < 0,000) de evoluir para óbito; que pessoas com hipertensão têm 7,4 vezes de chance (OR = 7,4; IC 95% = 4,6;11,9 p < 0,000); pessoas com doenças cardiovasculares têm 3,3 vezes de chance (OR = 3,3; IC 95% = 2,4;4,5 p < 0,000); enquanto pessoas com doença respiratória crônica têm 2,0 vezes de chance (OR = 2,0; IC 95% = 1,1;3,7 p < 0,016); e pessoas com asma tem 0,3 vezes de chance (OR = 0,3; IC 95% = 0,1;08 p < 0,009) de ir a óbito (tabela 5). A expansão da COVID-19 se deve, principalmente, às características de disseminação e transmissibilidade do SARS-CoV-2, podendo existir diversos fatores que contribuem para o aumento do número de casos, como os determinantes sociais, culturais e ambientais de cada região 10,11 . Esses fatores intrínsecos de cada região podem explicar o maior número de casos e maior prevalência para as cidades de Santana do Ipanema e Palestina, respectivamente.…”