Pediatric Dengue Vaccine Initiative, International Vaccine Institute, Seoul, Korea.
PLoS Negl Trop Dis. 2011 Mar 29;5(3):e996. doi: 10.1371/journal.pntd.0000996.
Disease incidence data are needed to guide decision-making for public health interventions. Although dengue is a reportable disease in Thailand and Cambodia, the degree that reported incidence underrecognizes true disease burden is unknown. We utilized dengue incidence calculated from laboratory-confirmed outpatient and inpatient cases in prospective cohort studies to estimate the magnitude of dengue underrecognition and to establish more accurate disease burden estimates for these countries.
Cohort studies were conducted among children aged <15 years by members of a dengue field site consortium over at least 2 dengue seasons. Age-group specific multiplication factors (MFs) were computed by comparing data from three cohort studies to national surveillance data in the same province and year. In Thailand, 14,627 person-years of prospective cohort data were obtained in two provinces and 14,493 person-years from one province in Cambodia. Average annual incidence of laboratory-confirmed dengue was 23/1,000 and 25/1,000 in Thailand, and 41/1,000 in Cambodia. Calculated MFs in these provinces varied by age-group and year (range 0.4-29). Average age-group specific MFs were then applied to country-level reporting data and indicated that in Thailand a median 229,886 (range 210,612-331,236) dengue cases occurred annually during 2003-2007 and a median 111,178 (range 80,452-357,135) cases occurred in Cambodia in children <15 years of age. Average underrecognition of total and inpatient dengue cases was 8.7 and 2.6-fold in Thailand, and 9.1 and 1.4-fold in Cambodia, respectively. During the high-incidence year 2007, >95,000 children in Thailand and >58,000 children in Cambodia were estimated to be hospitalized due to dengue.
Calculating MFs by comparing prospective cohort study data to locally-reported national surveillance data is one approach to more accurately assess disease burden. These data indicate that although dengue is regularly reported in many countries, national surveillance data significantly underrecognize the true burden of disease.
疾病发病率数据对于公共卫生干预措施的决策至关重要。尽管登革热在泰国和柬埔寨是法定报告疾病,但报告发病率对真实疾病负担的低估程度尚不清楚。我们利用前瞻性队列研究中经实验室确诊的门诊和住院病例计算的登革热发病率,来估计低估程度,并为这两个国家建立更准确的疾病负担估计。
登革热现场研究联盟的成员在至少两个登革热流行季节中对<15 岁的儿童进行了队列研究。通过将来自三个队列研究的数据与同一省份和同一年的国家监测数据进行比较,计算出特定年龄组的倍增因子(MFs)。在泰国,两个省份共获得了 14627 人年的前瞻性队列数据,一个省份获得了 14493 人年的数据。泰国两个省份的实验室确诊登革热年平均发病率为 23/1000,柬埔寨为 41/1000。这些省份的计算 MFs 因年龄组和年份而异(范围为 0.4-29)。然后,将平均年龄组特定 MFs 应用于国家级报告数据,结果表明,在泰国,2003-2007 年期间每年有中位数 229886(范围为 210612-331236)例登革热病例,在柬埔寨,<15 岁儿童中有中位数 111178(范围为 80452-357135)例。泰国总病例和住院病例的平均低估率分别为 8.7 倍和 2.6 倍,柬埔寨分别为 9.1 倍和 1.4 倍。在 2007 年高发年,泰国估计有超过 95000 名儿童和柬埔寨有超过 58000 名儿童因登革热住院。
通过将前瞻性队列研究数据与当地报告的国家监测数据进行比较来计算 MFs 是一种更准确评估疾病负担的方法。这些数据表明,尽管许多国家都定期报告登革热病例,但国家监测数据严重低估了疾病的真实负担。