| Literature DB >> 32414340 |
Chao-Ying Pan1, Wei-Liang Liu2, Matthew-P Su3, Te-Pin Chang2, Hui-Pin Ho1, Pei-Yun Shu4, Joh-Jong Huang5, Li-Jen Lin6, Chun-Hong Chen7,8.
Abstract
BACKGROUND: Dengue is endemic in over 100 countries and is an important public health problem worldwide. Dengue fever is not endemic in Taiwan; the importation of dengue viruses from neighboring countries via close commercial links and air travel is considered to be the cause of local outbreaks. Therefore, efforts toward disease control have focused on preventing the importation of dengue into Taiwan. In this study, we investigated the relationships between the numbers of imported and indigenous dengue cases to test the validity of this strategy.Entities:
Keywords: Airport fever screening; Concealment; Dengue virus; Imported dengue cases; Indigenous dengue fever; Noncontact infrared thermometers
Year: 2020 PMID: 32414340 PMCID: PMC7226716 DOI: 10.1186/s12879-020-4942-y
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Countries from which confirmed dengue cases were imported from between 2013 and September of 2018
| Country | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Total |
|---|---|---|---|---|---|---|---|
| Philippines | 7 | 7 | 11 | 12 | 4 | 7 | 48 |
| Indonesia | 12 | 6 | 17 | 5 | 2 | 5 | 47 |
| Vietnam | 2 | 3 | 5 | 5 | 12 | 6 | 33 |
| Malaysia | 0 | 8 | 8 | 4 | 5 | 5 | 30 |
| Thailand | 4 | 4 | 6 | 4 | 3 | 3 | 24 |
| Singapore | 1 | 3 | 5 | 3 | 1 | 0 | 13 |
| China | 1 | 10 | 1 | 0 | 0 | 0 | 12 |
| Cambodia | 0 | 1 | 2 | 2 | 1 | 0 | 6 |
| Maldives | 0 | 0 | 2 | 1 | 0 | 3 | 6 |
| Myanmar | 1 | 0 | 1 | 1 | 2 | 0 | 5 |
| Sri Lanka | 3 | 0 | 0 | 0 | 1 | 1 | 5 |
| Australia | 0 | 0 | 2 | 0 | 0 | 0 | 2 |
| India | 0 | 0 | 0 | 0 | 1 | 1 | 2 |
| Laos | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| Bangladesh | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| Marshall Islands | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| Tuvalu | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| Japan | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| South Africa | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| Total | 32 | 44 | 61 | 37 | 34 | 31 | 239 |
Status of infected individuals suffering from imported dengue in Kaohsiung city from 2013 to September 2018
| Status | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Total |
|---|---|---|---|---|---|---|---|
| Travel abroad migration (business or study tour) | 21 | 28 | 37 | 17 | 22 | 17 | 142 |
| Foreign workers/labor | 3 | 4 | 11 | 8 | 4 | 7 | 37 |
| Foreign tourists | 1 | 3 | 3 | 8 | 3 | 3 | 21 |
| Returning overseas Chinese | 1 | 6 | 2 | 2 | 0 | 0 | 11 |
| Foreign student | 0 | 3 | 5 | 0 | 1 | 0 | 9 |
| Foreign crew/fishermen | 1 | 0 | 2 | 1 | 3 | 1 | 8 |
| New immigrants (including family) | 5 | 0 | 1 | 1 | 1 | 3 | 11 |
| Total | 32 | 44 | 61 | 37 | 34 | 31 | 239 |
Occupations of infected individuals suffering from imported dengue in Kaohsiung city from 2013 to September 2018
| Occupation | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Total |
|---|---|---|---|---|---|---|---|
| Home management | 4 | 12 | 17 | 6 | 2 | 2 | 43 |
| Business | 5 | 10 | 4 | 6 | 5 | 5 | 35 |
| Student | 4 | 5 | 12 | 4 | 3 | 5 | 33 |
| Manufacturing | 0 | 3 | 9 | 2 | 6 | 6 | 26 |
| Technical service industry | 1 | 1 | 5 | 5 | 4 | 5 | 21 |
| Healthcare industry | 5 | 3 | 3 | 4 | 2 | 0 | 17 |
| Teacher | 5 | 3 | 0 | 1 | 0 | 1 | 10 |
| Fisherman or crew | 1 | 0 | 2 | 1 | 3 | 2 | 9 |
| Construction industry | 2 | 1 | 1 | 1 | 1 | 0 | 6 |
| Finance and insurance | 0 | 3 | 1 | 1 | 0 | 0 | 5 |
| Transportation and communications | 0 | 0 | 1 | 0 | 2 | 2 | 5 |
| Religious/cultural service industry | 1 | 0 | 1 | 0 | 2 | 0 | 4 |
| Catering service industry | 0 | 0 | 0 | 3 | 0 | 1 | 4 |
| Tourism service industry | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
| Human agency | 0 | 0 | 0 | 2 | 0 | 1 | 3 |
| Food processing industry | 0 | 0 | 1 | 0 | 2 | 0 | 3 |
| Civil service | 0 | 0 | 3 | 0 | 0 | 0 | 3 |
| Fishery/aquaculture | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
| Wholesale and retail trade | 1 | 0 | 0 | 0 | 1 | 1 | 3 |
| Armed forces | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
| Real estate and leasing industry | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| Total | 32 | 44 | 61 | 37 | 34 | 31 | 239 |
Fig. 1Fluctuations in the number of dengue cases from 2013 to September 2018. The cases were recorded by the Taiwan CDC surveillance system in Kaohsiung City from 2013 to September 2018. Monthly data are shown to reflect imported cases for all years
Fig. 2The number of indigenous cases of dengue in Kaohsiung City reported from 2013 to September 2018
Numbers of confirmed cases of dengue that remained within local communities in Kaohsiung city from 2013 to September 2018
| 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Total | |
|---|---|---|---|---|---|---|---|
| 32 | 44 | 61 | 37 | 34 | 31 | 239 | |
| 5 | 3 | 1 | 10 | 12 | 6 | 37 | |
| 24 | 32 | 39 | 22 | 14 | 8 | 139 |
Fig. 3Analysis and correlations between the imported cases of dengue and concealment period. The number of imported cases of dengue and the percentage of cases with a concealment period > 3 days in Kaohsiung City reported from 2013 to September 2018
Statistical comparisons of indigenous and imported cases of dengue
| Average | N | Standard deviation | Mean value of standard error | |||||
| Group 1 | Number of indigenous cases of dengue fever | 509.39 | 69 | 1534.868 | 184.776 | |||
| Number of import cases of dengue fever | 3.42 | 69 | 2.11 | 0.254 | ||||
| N | correlation | signification | ||||||
| Group 1 | Number of indigenous cases of dengue fever | 69 | 0.407 | 0.001 | ||||
| Average | Standard deviation | Standard error | Confidence interval of average 95%differene | |||||
| Average | minimums | maximums | T | df | Significance (two tailed) | |||
| Number of indigenous cases of dengue fever | 505.971 | 1534.009 | 184.673 | 137.462 | 874.48 | 2.74 | 68 | 0.008 |
| Number of import cases of dengue fever | ||||||||
Correlations between the numbers of indigenous and imported cases of dengue
| Number of indigenous cases of dengue fever | Number of imported cases of dengue fever with a concealment period of longer than 3 days | Number of imported cases of dengue fever with a concealment period of longer than 2 days | Number of imported cases of dengue fever with a concealment period of longer than 4 days | ||
| Number of indigenous cases of dengue fever | Pearson correlation | 1 | Significance (two tailed) | 0.459** | 0.387** |
| Significance (two tailed) | 0.001 | 0.0001 | 0.001 | ||
**Correlation is significant on the 0.01 layer (two-tailed)