Your browser doesn't support javascript.
loading
Mortality Associated with Priority Diseases in Flood-Affected Areas Using District Health Information System (DHIS2) During September-December 2022: Pakistan Experience.
Nisar, Nadia; Iqbal, Zeeshan; Sartaaj, Muhammad; Ikram, Aamer; Javad, Najma; Ali, Kashif; Anjum, Jahanzeb; Abbas Ranjha, Muazam; Khan, Mumtaz Ali; Bettani, Muhammad Asif Khan; Shah, Wasif; Tanveer, Nida; Cleary, Paul; Byers, Chloe; Wilson, Anne; Salman, Muhammad; Aldeyab, Mamoon A.
Afiliação
  • Nisar N; UK Health Security Agency, Pakistan.
  • Iqbal Z; UK Health Security Agency, Pakistan.
  • Sartaaj M; UK Health Security Agency, Pakistan.
  • Ikram A; Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan.
  • Javad N; UK Health Security Agency, Pakistan.
  • Ali K; UK Health Security Agency, Pakistan.
  • Anjum J; UK Health Security Agency, Pakistan.
  • Abbas Ranjha M; Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan.
  • Khan MA; Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan.
  • Bettani MAK; UK Health Security Agency, Pakistan.
  • Shah W; UK Health Security Agency, Pakistan.
  • Tanveer N; Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan.
  • Cleary P; UK Health Security Agency, Pakistan.
  • Byers C; UK Health Security Agency, Pakistan.
  • Wilson A; UK Health Security Agency, Pakistan.
  • Salman M; Public Health Laboratories Division, National Institute of Health, Chak Shahzad, Park Road, Islamabad, Pakistan.
  • Aldeyab MA; Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK.
Disaster Med Public Health Prep ; 18: e89, 2024 May 09.
Article em En | MEDLINE | ID: mdl-38721660
ABSTRACT

OBJECTIVES:

To quantify the burden of communicable diseases and characterize the most reported infections during public health emergency of floods in Pakistan.

METHODS:

The study's design is a descriptive trend analysis. The study utilized the disease data reported to District Health Information System (DHIS2) for the 12 most frequently reported priority diseases under the Integrated Disease Surveillance and Response (IDSR) system in Pakistan.

RESULTS:

In total, there were 1,532,963 suspected cases during August to December 2022 in flood-affected districts (n = 75) across Pakistan; Sindh Province reported the highest number of cases (n = 692,673) from 23 districts, followed by Khyber Pakhtunkhwa (KP) (n = 568,682) from 17 districts, Balochistan (n = 167,215) from 32 districts, and Punjab (n = 104,393) from 3 districts. High positivity was reported for malaria (79,622/201,901; 39.4%), followed by acute diarrhea (non-cholera) (23/62; 37.1%), hepatitis A and E (47/252; 18.7%), and dengue (603/3245; 18.6%). The crude mortality rate was 11.9 per 10 000 population (1824/1,532,963 [deaths/cases]).

CONCLUSION:

The study identified acute respiratory infection, acute diarrhea, malaria, and skin diseases as the most prevalent diseases. This suggests that preparedness efforts and interventions targeting these diseases should be prioritized in future flood response plans. The study highlights the importance of strengthening the IDSR as a Disease Early Warning System through the implementation of the DHIS2.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inundações / Sistemas de Informação em Saúde Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inundações / Sistemas de Informação em Saúde Idioma: En Ano de publicação: 2024 Tipo de documento: Article