Epidemiological Trend of Dengue in Relation to COVID-19 Cases in Putrajaya from 2020 till 2022 and The Association between Dengue Cases with Locality Risk for Dengue Outbreak

Zuraidah Zaidun, Zainal Abidin Abu Bakar, Nurul Najiha Noor Azhar, Farhana Mohd Said, Nur Sofiani Diana Mohammed Yusof: Epidemiological Trend of Dengue in Relation to COVID-19 Cases in Putrajaya from 2020 till 2022 and The Association between Dengue Cases with Locality Risk for Dengue Outbreak. published online at https://apcph.cphm.my, 2022, (Type: ORAL PRESENTATION; Organisation: Pejabat Kesihatan Wilayah Persekutuan Putrajaya).

Abstract

Introduction: The emergence of Covid-19 pandemic in the world, many countries have reported a significant reduction in dengue cases between 2020 to 2021. COVID-19 pandemic has given impact on the trend of dengue in Putrajaya. The main objective of this study is to describe the trend of dengue cases from 2020 until the 20th epidemiology week (EW) in 2022, in relation to the COVID-19 cases and Movement Control Order (MCO). The secondary aim is to describe demographic details of dengue cases n Putrajaya and determine the association between dengue cases category with locality risk for Dengue outbreak.
Methodology: Secondary data of registered cases was extracted from e-Dengue, and line listing of registered Covid-19 cases in Putrajaya were used and analysed using IBM SPSS version 25. Dengue cases were categorized into sporadic or outbreak cases, depending on the epidemiology link. Residential localities that recorded 10 or more episodes of outbreaks were categorized as 'High Risk', while those with recorded less than 10 episodes were categorized as 'Low Risk'. Chi-square test was performed to examine the relationship between Dengue cases and locality risk for Dengue outbreak.
Result and Discussion: The trend of dengue cases has dropped tremendously with 82.2% reduction between 2020 and 2021, from 652 to 116 cases, but the trend was expected to be increased in 2022 with a cumulative 52 cases until EW-20/2022. By comparison, the trend of COVID-19 cases had increased from a cumulative case of 298 in 2020 to 9,090 cases in 2021, and a total of 10,867 cases were registered until EW-20/2022. The highest number of COVID-19 cases reported was in EW-10/2022 with 1255 cases during the fourth phase recovery plan (PPP 4.0). This was perhaps related to relaxation of border-crossings in between states in Malaysia with more flexibility in economic and social activities. However, dengue cases showed a fluctuating trend since early 2022 and this was projected to increase as the public continues their daily activities in the new norm during the transition phase. Demographic detail of dengue cases from 2020 until EW-20/2022, showed majority of them were female (51.9%), and (32.4%) were government servant, with mean age 26.05 (SD: 15.46). The relationship between locality risk and status of case was significant, X²= 50.4 (df=1

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@proceedings{APCPH2022-O-22,
title = {Epidemiological Trend of Dengue in Relation to COVID-19 Cases in Putrajaya from 2020 till 2022 and The Association between Dengue Cases with Locality Risk for Dengue Outbreak},
author = {Zuraidah Zaidun and Zainal Abidin Abu Bakar and Nurul Najiha Noor Azhar and Farhana Mohd Said and Nur Sofiani Diana Mohammed Yusof},
url = {https://apcph.cphm.my/wp-content/uploads/2022/07/APCPH2022-O-22.pdf 
https://apcph.cphm.my/events/oral-session-7-ballroom-A/},
year  = {2022},
date = {2022-08-01},
urldate = {2022-08-02},
issue = {7},
abstract = {Introduction: The emergence of Covid-19 pandemic in the world, many countries have reported a significant reduction in dengue cases between 2020 to 2021. COVID-19 pandemic has given impact on the trend of dengue in Putrajaya. The main objective of this study is to describe the trend of dengue cases from 2020 until the 20th epidemiology week (EW) in 2022, in relation to the COVID-19 cases and Movement Control Order (MCO). The secondary aim is to describe demographic details of dengue cases n Putrajaya and determine the association between dengue cases category with locality risk for Dengue outbreak. 
Methodology: Secondary data of registered cases was extracted from e-Dengue, and line listing of registered Covid-19 cases in Putrajaya were used and analysed using IBM SPSS version 25. Dengue cases were categorized into sporadic or outbreak cases, depending on the epidemiology link. Residential localities that recorded 10 or more episodes of outbreaks were categorized as 'High Risk', while those with recorded less than 10 episodes were categorized as 'Low Risk'. Chi-square test was performed to examine the relationship between Dengue cases and locality risk for Dengue outbreak. 
Result and Discussion: The trend of dengue cases has dropped tremendously with 82.2% reduction between 2020 and 2021, from 652 to 116 cases, but the trend was expected to be increased in 2022 with a cumulative 52 cases until EW-20/2022. By comparison, the trend of COVID-19 cases had increased from a cumulative case of 298 in 2020 to 9,090 cases in 2021, and a total of 10,867 cases were registered until EW-20/2022. The highest number of COVID-19 cases reported was in EW-10/2022 with 1255 cases during the fourth phase recovery plan (PPP 4.0). This was perhaps related to relaxation of border-crossings in between states in Malaysia with more flexibility in economic and social activities. However, dengue cases showed a fluctuating trend since early 2022 and this was projected to increase as the public continues their daily activities in the new norm during the transition phase. Demographic detail of dengue cases from 2020 until EW-20/2022, showed majority of them were female (51.9%), and (32.4%) were government servant, with mean age 26.05 (SD: 15.46). The relationship between locality risk and status of case was significant, X²= 50.4 (df=1},
howpublished = {published online at https://apcph.cphm.my},
note = {Type: ORAL PRESENTATION; Organisation: Pejabat Kesihatan Wilayah Persekutuan Putrajaya},
keywords = {Covid-19, dengue outbreak, locality risk},
pubstate = {published},
tppubtype = {proceedings}
}