Fever Watch: live monsoon-fever risk for your city, in one score.

A daily risk read for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid) in your city, built from weather conditions, search interest and lab positivity. A risk indicator, not a diagnosis or a case count.

Available in select cities.

Reviewed by Dr. Nikita Toshi and Dr. Avinav Gupta

Monsoon fever risk by city, today

Overall risk across 209 cities, highest first. Open any city for its full read.

#	City	State	Band	Score
1	Bhubaneswar	Odisha	HIGH	79
2	Ranchi	Jharkhand	HIGH	78
3	Dhanbad	Jharkhand	HIGH	75
4	Lucknow	Uttar Pradesh	HIGH	72
5	Asansol	West Bengal	MODERATE	69
6	Pune	Maharashtra	MODERATE	68
7	Prayagraj	Uttar Pradesh	MODERATE	68
8	Kozhikode	Kerala	MODERATE	67
9	Kannur	Kerala	MODERATE	67
10	Patna	Bihar	MODERATE	66
11	Jamshedpur	Jharkhand	MODERATE	66
12	Kochi	Kerala	MODERATE	66
13	Bokaro	Jharkhand	MODERATE	66
14	Thrissur	Kerala	MODERATE	66
15	Kottayam	Kerala	MODERATE	66
16	Agartala	Tripura	MODERATE	65
17	Kollam	Kerala	MODERATE	65
18	Thiruvananthapuram	Kerala	MODERATE	65
19	Panaji	Goa	MODERATE	65
20	Palakkad	Kerala	MODERATE	65
21	Alappuzha	Kerala	MODERATE	65
22	Deoghar	Jharkhand	MODERATE	65
23	Hazaribagh	Jharkhand	MODERATE	65
24	Thane	Maharashtra	MODERATE	64
25	Bhiwandi	Maharashtra	MODERATE	64
26	Mangaluru	Karnataka	MODERATE	64
27	Udupi	Karnataka	MODERATE	64
28	Surat	Gujarat	MODERATE	63
29	Nashik	Maharashtra	MODERATE	63
30	Varanasi	Uttar Pradesh	MODERATE	63
31	Kolhapur	Maharashtra	MODERATE	63
32	Belagavi	Karnataka	MODERATE	63
33	Brahmapur	Odisha	MODERATE	63
34	Satara	Maharashtra	MODERATE	63
35	Bharuch	Gujarat	MODERATE	63
36	Navsari	Gujarat	MODERATE	63
37	Nagpur	Maharashtra	MODERATE	62
38	Vadodara	Gujarat	MODERATE	62
39	Raipur	Chhattisgarh	MODERATE	62
40	Guwahati	Assam	MODERATE	62
41	Solapur	Maharashtra	MODERATE	62
42	Gorakhpur	Uttar Pradesh	MODERATE	62
43	Bhilai	Chhattisgarh	MODERATE	62
44	Cuttack	Odisha	MODERATE	62
45	Rourkela	Odisha	MODERATE	62
46	Korba	Chhattisgarh	MODERATE	62
47	Bilaspur	Chhattisgarh	MODERATE	62
48	Sangli	Maharashtra	MODERATE	62
49	Ahmednagar	Maharashtra	MODERATE	62
50	Parbhani	Maharashtra	MODERATE	62
51	Sambalpur	Odisha	MODERATE	62
52	Puri	Odisha	MODERATE	62
53	Raigarh	Chhattisgarh	MODERATE	62
54	Chennai	Tamil Nadu	MODERATE	61
55	Rajkot	Gujarat	MODERATE	61
56	Nanded	Maharashtra	MODERATE	61
57	Siliguri	West Bengal	MODERATE	61
58	Muzaffarpur	Bihar	MODERATE	61
59	Darbhanga	Bihar	MODERATE	61
60	Daman	Dadra and Nagar Haveli and Daman and Diu	MODERATE	61
61	Silvassa	Dadra and Nagar Haveli and Daman and Diu	MODERATE	61
62	Purnia	Bihar	MODERATE	61
63	Kharagpur	West Bengal	MODERATE	61
64	Haldia	West Bengal	MODERATE	61
65	Anand	Gujarat	MODERATE	61
66	Nadiad	Gujarat	MODERATE	61
67	Dibrugarh	Assam	MODERATE	61
68	Mumbai	Maharashtra	MODERATE	60
69	Delhi	Delhi	MODERATE	60
70	Indore	Madhya Pradesh	MODERATE	60
71	Howrah	West Bengal	MODERATE	60
72	Jabalpur	Madhya Pradesh	MODERATE	60
73	Hubballi	Karnataka	MODERATE	60
74	Durgapur	West Bengal	MODERATE	60
75	Gaya	Bihar	MODERATE	60
76	Bhagalpur	Bihar	MODERATE	60
77	Port Blair	Andaman and Nicobar Islands	MODERATE	60
78	Sitapur	Uttar Pradesh	MODERATE	60
79	Bihar Sharif	Bihar	MODERATE	60
80	Begusarai	Bihar	MODERATE	60
81	Bardhaman	West Bengal	MODERATE	60
82	Katni	Madhya Pradesh	MODERATE	60
83	Singrauli	Madhya Pradesh	MODERATE	60
84	Raichur	Karnataka	MODERATE	60
85	Aurangabad	Maharashtra	MODERATE	59
86	Dehradun	Uttarakhand	MODERATE	59
87	Ujjain	Madhya Pradesh	MODERATE	59
88	Davanagere	Karnataka	MODERATE	59
89	Latur	Maharashtra	MODERATE	59
90	Jalgaon	Maharashtra	MODERATE	59
91	Arrah	Bihar	MODERATE	59
92	Chhapra	Bihar	MODERATE	59
93	Malda	West Bengal	MODERATE	59
94	Baharampur	West Bengal	MODERATE	59
95	Sagar	Madhya Pradesh	MODERATE	59
96	Ratlam	Madhya Pradesh	MODERATE	59
97	Satna	Madhya Pradesh	MODERATE	59
98	Rewa	Madhya Pradesh	MODERATE	59
99	Dewas	Madhya Pradesh	MODERATE	59
100	Junagadh	Gujarat	MODERATE	59
101	Ghaziabad	Uttar Pradesh	MODERATE	58
102	Meerut	Uttar Pradesh	MODERATE	58
103	Bareilly	Uttar Pradesh	MODERATE	58
104	Aligarh	Uttar Pradesh	MODERATE	58
105	Moradabad	Uttar Pradesh	MODERATE	58
106	Warangal	Telangana	MODERATE	58
107	Saharanpur	Uttar Pradesh	MODERATE	58
108	Noida	Uttar Pradesh	MODERATE	58
109	Gulbarga	Karnataka	MODERATE	58
110	Jamnagar	Gujarat	MODERATE	58
111	Jhansi	Uttar Pradesh	MODERATE	58
112	Udaipur	Rajasthan	MODERATE	58
113	Muzaffarnagar	Uttar Pradesh	MODERATE	58
114	Rampur	Uttar Pradesh	MODERATE	58
115	Hapur	Uttar Pradesh	MODERATE	58
116	Mirzapur	Uttar Pradesh	MODERATE	58
117	Bulandshahr	Uttar Pradesh	MODERATE	58
118	Amroha	Uttar Pradesh	MODERATE	58
119	Fatehpur	Uttar Pradesh	MODERATE	58
120	Budaun	Uttar Pradesh	MODERATE	58
121	Katihar	Bihar	MODERATE	58
122	Bharatpur	Rajasthan	MODERATE	58
123	Khandwa	Madhya Pradesh	MODERATE	58
124	Vijayapura	Karnataka	MODERATE	58
125	Ahmedabad	Gujarat	MODERATE	57
126	Kanpur	Uttar Pradesh	MODERATE	57
127	Agra	Uttar Pradesh	MODERATE	57
128	Gwalior	Madhya Pradesh	MODERATE	57
129	Kota	Rajasthan	MODERATE	57
130	Amravati	Maharashtra	MODERATE	57
131	Firozabad	Uttar Pradesh	MODERATE	57
132	Nellore	Andhra Pradesh	MODERATE	57
133	Ajmer	Rajasthan	MODERATE	57
134	Akola	Maharashtra	MODERATE	57
135	Bellary	Karnataka	MODERATE	57
136	Mathura	Uttar Pradesh	MODERATE	57
137	Shahjahanpur	Uttar Pradesh	MODERATE	57
138	Alwar	Rajasthan	MODERATE	57
139	Gandhinagar	Gujarat	MODERATE	57
140	Etawah	Uttar Pradesh	MODERATE	57
141	Hardoi	Uttar Pradesh	MODERATE	57
142	Raebareli	Uttar Pradesh	MODERATE	57
143	Unnao	Uttar Pradesh	MODERATE	57
144	Karimnagar	Telangana	MODERATE	57
145	Haridwar	Uttarakhand	MODERATE	57
146	Haldwani	Uttarakhand	MODERATE	57
147	Bhopal	Madhya Pradesh	MODERATE	56
148	Faridabad	Haryana	MODERATE	56
149	Mysuru	Karnataka	MODERATE	56
150	Gurugram	Haryana	MODERATE	56
151	Dhule	Maharashtra	MODERATE	56
152	Panipat	Haryana	MODERATE	56
153	Chandrapur	Maharashtra	MODERATE	56
154	Gandhidham	Gujarat	MODERATE	56
155	Tumakuru	Karnataka	MODERATE	56
156	Hassan	Karnataka	MODERATE	56
157	Karnal	Haryana	MODERATE	56
158	Ambala	Haryana	MODERATE	56
159	Kolkata	West Bengal	MODERATE	55
160	Jaipur	Rajasthan	MODERATE	55
161	Chandigarh	Chandigarh	MODERATE	55
162	Rohtak	Haryana	MODERATE	55
163	Nizamabad	Telangana	MODERATE	55
164	Puducherry	Puducherry	MODERATE	55
165	Ramagundam	Telangana	MODERATE	55
166	Mohali	Punjab	MODERATE	55
167	Coimbatore	Tamil Nadu	MODERATE	54
168	Jammu	Jammu and Kashmir	MODERATE	54
169	Khammam	Telangana	MODERATE	54
170	Jodhpur	Rajasthan	MODERATE	53
171	Bhilwara	Rajasthan	MODERATE	53
172	Kakinada	Andhra Pradesh	MODERATE	53
173	Sikar	Rajasthan	MODERATE	53
174	Rajahmundry	Andhra Pradesh	MODERATE	53
175	Eluru	Andhra Pradesh	MODERATE	53
176	Nagercoil	Tamil Nadu	MODERATE	52
177	Kadapa	Andhra Pradesh	MODERATE	52
178	Visakhapatnam	Andhra Pradesh	MODERATE	51
179	Vijayawada	Andhra Pradesh	MODERATE	51
180	Tiruchirappalli	Tamil Nadu	MODERATE	51
181	Pali	Rajasthan	MODERATE	51
182	Dindigul	Tamil Nadu	MODERATE	51
183	Thanjavur	Tamil Nadu	MODERATE	51
184	Hosur	Tamil Nadu	MODERATE	51
185	Bengaluru	Karnataka	MODERATE	50
186	Salem	Tamil Nadu	MODERATE	50
187	Guntur	Andhra Pradesh	MODERATE	50
188	Tirupati	Andhra Pradesh	MODERATE	50
189	Kurnool	Andhra Pradesh	MODERATE	50
190	Tiruppur	Tamil Nadu	MODERATE	49
191	Jalandhar	Punjab	MODERATE	49
192	Tirunelveli	Tamil Nadu	MODERATE	49
193	Patiala	Punjab	MODERATE	49
194	Anantapur	Andhra Pradesh	MODERATE	49
195	Ongole	Andhra Pradesh	MODERATE	49
196	Hyderabad	Telangana	MODERATE	48
197	Ludhiana	Punjab	MODERATE	48
198	Erode	Tamil Nadu	MODERATE	48
199	Kanchipuram	Tamil Nadu	MODERATE	48
200	Madurai	Tamil Nadu	MODERATE	47
201	Vellore	Tamil Nadu	MODERATE	47
202	Thoothukudi	Tamil Nadu	MODERATE	47
203	Amritsar	Punjab	MODERATE	46
204	Hanumangarh	Rajasthan	MODERATE	46
205	Hisar	Haryana	MODERATE	46
206	Bikaner	Rajasthan	LOW-MODERATE	43
207	Bathinda	Punjab	LOW-MODERATE	37
208	Sri Ganganagar	Rajasthan	LOW-MODERATE	31
209	Srinagar	Jammu and Kashmir	LOW-MODERATE	27

How we calculate the score

1. Per-disease environmental score (0 to 100)

From trailing daily weather, shaped by disease family:

Mosquito-borne (dengue, malaria, chikungunya): a unimodal temperature response peaking near 29C (Aedes and Anopheles multiply fastest at 25 to 30C; activity falls below about 18C and above about 35C), times lagged rainfall over the past 14 days (standing-water sites emerge 1 to 2 weeks after rain), times relative humidity (above about 60% extends mosquito lifespan).
Waterborne (typhoid): recent (7-day) plus accumulated (14-day) rainfall as a contamination and runoff proxy; temperature secondary.

2. Three independent signals

Weather conditions (leading, weeks ahead): the environmental score above.
Google Search Interest (coincident): symptom-search attention, smoothed and down-weighted when it spikes alone.
PharmEasy lab signal (lagging, ground truth): aggregate, de-identified test-positivity trend, scaled against a per-disease baseline because a 'high' positivity differs sharply by fever (a full signal is reached around 25% positivity for dengue, 4% for malaria, 15% for chikungunya and 45% for typhoid), and held back until enough tests confirm the read.

3. Confirmation-weighted ensemble

Not a flat average. With lab data present it dominates (weights about 30 / 22 / 48 weather / search / positivity); when all three signals agree we nudge the score up by about 8%, and when they disagree we ease off by about 4% and lean on the lab. Without lab data, a forecast-only mode eases the score back as it climbs toward the HIGH threshold (a soft cap held below 70) so it can approach but never enter HIGH, keeping a conditions-only read honest. The city headline is a max-dominant blend (0.8 times the top disease plus 0.2 times the mean of the rest) with the driver disease named.

In the breakdown each signal is shown as a plain High / Moderate / Low level with its weight and underlying 0 to 100 score, and the three contributions add up exactly to the displayed score.

Score bands

Low (0 to 24), Low-moderate (25 to 44), Moderate (45 to 69) and High (70 to 100). A forecast-only read (no lab data) is eased back as it climbs and held below 70, so it can never reach the red High band.

Data sources

Rainfall: NOAA CPC (US public domain)
Temperature and humidity: NASA POWER (NASA Langley, US public domain / CC0)
Search: Google Trends
Positivity: PharmEasy Labs and its Partner Affiliates (aggregate, de-identified)

Selected research

Mordecai et al. Thermal biology of mosquito-borne disease. Ecology Letters, 2019.
Liu-Helmersson et al. Vectorial capacity of Aedes aegypti and temperature. PLOS ONE, 2014.
Ginsberg et al. Detecting influenza epidemics using search engine query data. Nature, 2009.
IDSP Weekly Outbreak Reports, MoHFW (official surveillance).

This is a daily updated dashboard where we compute a monsoon-risk score (0-100) based on multiple data inputs, including weather data, Google search trends, and aggregate data from PharmEasy Labs and its Partner Affiliates.

Common questions

What is Fever Watch?

Fever Watch is a daily risk indicator for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid), shown as one decomposable score per city and disease. It blends weather conditions, public search interest and PharmEasy lab positivity.

Is this a diagnosis or medical advice?

No. Fever Watch is a risk indicator only. It is not a diagnosis, not a count of actual cases or mosquitoes, and not a substitute for a doctor. If you feel unwell, consult a clinician.

How is the score calculated?

It is a transparent weighted blend of three signals at different points in the illness pipeline: weather conditions (leading), search interest (coincident) and lab positivity (lagging ground truth). When lab data is present it leads the score, and the breakdown is always shown.

What does forecast-only mean?

Where there is not enough lab data for a city and disease yet, the score is a conditions-based forecast and is held below the HIGH band, so a forecast-only read can never show HIGH. This keeps the read honest.

How often is it updated?

Weather is refreshed daily from NOAA CPC and NASA POWER, search interest weekly, and the lab signal daily. The score for each city is recomputed every day.

Which cities are covered?

Fever Watch currently covers over 200 Indian cities, with more planned. Use the city search to see the read for your city.